Energetic Resource Allocation Framework Using Virtualization in Cloud

Size: px
Start display at page:

Download "Energetic Resource Allocation Framework Using Virtualization in Cloud"

Transcription

1 Energetic Resource Allocation Framework Using Virtualization in Ms.K.Guna *1, Ms.P.Saranya M.E *2 1 (II M.E(CSE)) Student Department of Computer Science and Engineering, 2 Assistant Professor Department of Computer Science and Engineering, ANNA University Chennai, India. ABSTRACT: Virtualization provides an efficient solution to the objectives of the cloud computing paradigm by facilitating creation of Virtual Machines (VMs) over the underlying physical servers, leading to improved resource utilization and abstraction. Virtualization refers to creating a virtual version of a device or a resource such as a server, a storage device, network or even operating system where the mechanism divides the resource into one or more execution environments. To analyse the behaviour of a data centres: utilization, availability, waiting time, and responsiveness. The factors that a cloud must take into account are elasticity, scalability, live migration of VMs and performance isolation. Live migration of VMs, the process of dynamically transferring a virtual machine across different servers on the fly, has proved to represent a new opportunity to enable responsive and dynamic resource management in modern data centres. Through this algorithm to achieve migrations of VMs on the basis of overloading that occurs a physical server in cloud data centres. As indicated the results, the algorithm provides relatively less performance degradation that occurs due to VM migrations. The SLA violation is also less compared to other techniques and this means the cloud will incur less cost from VM migrations. Further, MHOD algorithm performs host selection and VM reallocation quicker than the existing algorithms. Maintenance of physical servers can be efficiently achieved through the algorithm as it leads to efficient consolidation of VMs. Keywords Virtualization, cloud computing, SLA violation, host selection, Live migration, performance degradation. I. INTRODUCTION In cloud computing, Resource Allocation (RA) is the process of assigning available resources to the needed cloud applications over the internet. Resource allocation starves s if the allocation is not managed precisely [1]. Resource provisioning solves that problem by allowing the s to manage the resources for each individual module. Resource Allocation Strategy (RAS) [2] is all about integrating cloud activities for utilizing and allocating scarce resources within the limit of cloud environment so as to meet the needs of the cloud application [3]. It requires the type and amount of resources needed by each application in order to complete a user job. The order and time of allocation of resources are also an input for an optimal RAS [4]. An optimal RAS should avoid the following criteria as follows: Resource Contention - Resource contention arises when two applications try to access the same resource at the same time. Over Provisioning - Over provisioning arises when the ISSN: Page 171

2 application gets surplus resources than the demanded one. Under Provisioning - Under provisioning of resources occurs when the application is assigned with fewer numbers of resources than it demanded. From the perspective of a cloud, predicting the dynamic nature of users, user demands, and application demands are impractical [5]. For the cloud users, the job should be completed on time with minimal cost. Hence due to limited resources, resource heterogeneity, locality restrictions, environmental necessities and dynamic nature of resource demand, it needs an efficient resource allocation system that suits cloud environments [6]. resources consist of physical and virtual resources. The physical resources are shared across multiple compute requests through virtualization and provisioning [7]. The request for virtualized resources is described through a set of parameters detailing the processing, memory and disk needs [8]. Provisioning satisfies the request by mapping virtualized resources to physical ones. The hardware and software resources are allocated to the cloud applications on-demand basis[9]. The paper is organized as follows: Section II presents the proposed method for Listening skill. Section III describes diagrammatic view of ie., the system architecture of proposed system. Section IV describes the algorithms to be used in a system. Section V describes the different experiments carried out and the results obtained. Finally in section VI, summarizes the main conclusions and future research. EXISTING SYSTEM: Resource Management is critical in cloud computing. With improper resource management, applications might experience network congestion, long time wait, overused CPU and memory, and security problems. To maximized cloud computing infrastructure utilization and minimize total cost of both the cloud computing infrastructure and running applications, resources need to be managed properly. To overcome this there are kinds of resources in the large-scale computing infrastructure need to be managed, CPU load, network bandwidth, disk quota, and even type of operating systems. To provide better quality of, resources are provisioned to the users or applications, via load balancing mechanism, high availability mechanism and security and authority mechanism. To maximize cloud utilization, the capacity of application requirements shall be calculated so that minimal cloud computing infrastructure devices shall be procured and maintained. Given access to the cloud computing infrastructure, applications shall allocate proper resources to perform the computation with time cost and infrastructure cost minimized. Drawbacks: For all the potential of the cloud storage model, there are still a few disadvantages. By utilizing cloud storage, users relinquish direct control over their data. Although a cloud storage is far less likely to have its data lost or compromised than most individuals or organizations, people are still more comfortable knowing precisely where their critical data is located and who is personally responsible for it. Access to data stored on a distributed network is also constrained by the access to the Internet. Lower Internet bandwidth will result in decreased performance and an Internet outage will completely sever an organization s access to its information. II.PROPOSED SYSTEM: The proposed system considers the process of resource management for a largescale cloud environment. Such an environment includes the physical ISSN: Page 172

3 infrastructure and associated control functionality that enables the provisioning and management of cloud s. The perspective take is that of a cloud, which hosts sites in a cloud environment. The cloud owns and administrates the physical infrastructure, on which cloud s are provided. It offers hosting s to site owners through a middleware that executes on its infrastructure. Site owners provide s to their respective users via sites that are hosted by the cloud. Therefore, the user demands are transformed to this virtual cloud server. Through this efficient method, the user s demands will be satisfied successfully by serving the customer without waiting. Therefore, the resources will be allocated dynamically. This work contributes towards engineering a middleware layer that performs resource allocation in such a cloud environment, with the following design goals: 1) Performance objective: To consider computational and memory resources and the objective is to achieve max-min fairness for computational resources under memory constraints. 2) Adaptability: The resource allocation process must dynamically and efficiently adapt to changes in the demand for cloud s. 3) Scalability: The Resource allocation process must be scalable both in the number of machines in the cloud and the number of sites that the cloud hosts. This means that the resources consumed per machine in order to achieve a given performance objective must increase sub linearly with both the number of machines and the number of sites. balance between the two goals. To make the following contributions: To develop a resource allocation system that can avoid overload in the system effectively while minimizing the number of servers used. To introduce the concept of skewness to measure the uneven utilization of a server. By minimizing skewness, it can improve the overall utilization of servers in the face of multidimensional resource constraints. To design a load prediction algorithm that can capture the future resource usages of applications accurately without looking inside the VMs. The algorithm can capture the rising trend of resource usage patterns and help reduce the placement churn significantly. Advantage computing is a usage of very large scalable and virtualized resources in a dynamic way over the internet. Due to the rapid growth of cloud environment usage many tasks require to be executed by the available resources. At the same time it should be possible to achieve better performance, optimizing the servers, reduce migration, support green computing, better resource utilization etc. So resource allocation using virtual machine plays a most important role in cloud environment because it should allocate proper resource to various machines to get maximum benefit. In this project, to present the design and implementation of an automated resource management system that achieves a good ISSN: Page 173

4 III. SYSTEM ARCHITECHTURE: PM 1 PM2. PM n Web server, remote desktop, DNS, Mail, Map/Reduce, etc., LNM (local node manager) CONTROL ALGORITHM In the control algorithm a different set of technique is used to predict non-stationary workloads of the system. In this two set of process are used Markov Host Overload Detection (MHOD) and Optimal Markov Host Overload Detection (MHOD-OPT). User CTRL VM Scheduler Predicts (future resource allocation demands) Hot spot (Detect resource utilize) Cold spot (Check utilization) Migratio n List TABLE I IV. ALGORITHMS Algorithm Allocation parameter Feature SKEWNESS ALGORITHM Skewness is used to quantify the unevenness in utilization of multiple resources on the server. By minimizing the skewness leads to combine of different combine different workloads and improve utilization of server. Skewness consists of three steps: load prediction, hot spot migration, and green computing. GREEN SCHEDULING ALGORITHM Skewness Control Hotspot, cold spot throughput Cold spot throughput Green scheduling MHOD- OPT,MHOD To measure unevenness in resource utilization Usage of idle servers are reduce To estimate the migration probability Green scheduling can determine which server to be in running state. It will turn on and turnoff servers based on load and virtual machine is allocated. Server must be in four states: OFF, ON, SHUTTING, RUNNING. Based on platform any of the state is triggered. V.RELATED WORKS A. Dynamic resource allocation Resource Allocation (RA) is the process of assigning available resources to the needed cloud applications over the internet. Resource allocation starves s if the allocation is not managed accurately. Resource provisioning solves that problem ISSN: Page 174

5 by allowing the s to manage the resources for each individual module. User Request restrictions or limitations, and obligations that cloud consumers must accept. User Request Service level Service B. The cloud is responsible for maintaining an agreed-on level of and provisions resources accordingly. A CSP, who has significant resources and expertise in building and managing distributed cloud storage servers, owns and operates live Computing system, it is the central entity of cloud. activities for utilizing and allocating scarce resources within the limit of cloud environment so as to meet the needs of the cloud application. It requires the type and amount of resources needed by each application in order to complete a user job. The order and time of allocation of resources are also an input for an optimal resource allocation. Check space Provide resource For user request Provide C. consumer consumer represents a person or organization that maintains a business relationship with, and uses the from, a cloud. Users, who stores data in the cloud and rely on the cloud for data computation, consists of both individual consumers and organizations. consumers use Service-Level Agreements (SLAs) for specifying the technical performance requirements to be fulfilled by a cloud. A cloud may also list in the SLAs a set of D. Virtual machine environment Virtualization provides an efficient solution to the objectives of the cloud computing paradigm by facilitating creation of Virtual Machines (VMs) over the underlying physical servers, leading to improved resource utilization. Virtualization refers to creating a virtual version of a device or a resource such as a server, a storage device, network or even operating system where the mechanism divides the resource into one or more execution environments. Number user When a physical server is considered to be overloaded requiring live migration of one or more VMs from the physical server under consideration. Selection of VMs that should be migrated from an overloaded physical server. VM selection policy (algorithm) has to be applied to carry out the selection process. Finding a new placement of the VMs selected for migration from the overload and physical servers and finding the best physical. Overload in server Waiting time for user Virtual machine E. Resource manager Service management in this context covers all the data centre operations activities. This broad discipline considers the ISSN: Page 175

6 necessary techniques and tools for managing s by both cloud s and the internal data centre managers across these physical, IT and virtual environments. The availability of Service computing clouds gives researchers access to a large set of new resources for running complex scientific applications. However, exploiting cloud resources for large numbers of jobs requires significant effort and expertise. User request Managed by server F. Performance evaluation In cloud paradigm, an effective resource allocation strategy is required for achieving user satisfaction and maximizing the profit for cloud s. Some of the strategies discussed above mainly focus on CPU, memory resources.secured optimal resource allocation algorithms and framework to strengthen the cloud computing paradigm VI.FUTURE WORK: Finally, as the next step in our research will be the future demands comes from the unspecified user or customer is to be measured and concerned with the development of the better allocation algorithm which is in heterogeneous and works in dynamic environment using virtual machines. CONCLUSION: Virtualization is the creation of a virtual i.e., rather than actual version of a storage device or network resources. This project gives about the cloud data management interface by using storage virtualization mechanism. The open cloud computing interface is an emerging standard for interoperable interface management in the cloud. computing can solve complex set of tasks in shorter time by proper resource utilization. To make the cloud to work efficiently, best resource allocation strategies have to be employed. Utilization of resources is one of the most important tasks in cloud computing environment where the user s jobs are scheduled to different machines. The various strategies have been studied and classified. The different features of the algorithms have been studied. References: Figure 1 Figure 2 1) J. Kirch. Virtual machine security guidelines. The center for Internet Security, September CIS-VM-Benchmark- v1.0.pdf. 2) Sugerman, Jeremy; Venkitachalam, Ganesh; Lim, Beng-Hong: Virtualizing I/O Devices on VMware Workstation's Hosted Virtual Machine Monitor. In: Proceedings of the General Track: 2002 USENIX Annual Technical Conference. USENIX Association. - ISBN X, ISSN: Page 176

7 3) Soltesz, Stephen; Poetzl, Herbert; Fiuczynski, Marc E.; Bavier, Andy; Peterson, Larry: Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. In: EuroSys '07: Proceedings of the 2007 conference on EuroSys. ACM Press. - ISSN , ) Popek, Gerald J.; Goldberg, Robert P.: Formal requirements for virtualizable third generation architectures. In: Commun. ACM 17 (1974), July, Nr. 7, DOI / ISSN ) A. Mann. The pros and cons of virtualization. BTQ, s-cons-virtualization&page= virtview%research. 6) Rosenblum M. and Garfinkel T. Virtual machine monitors: current technology and future trends. Computer, 38(5):39-47, May ) Renato J. Figueiredo, Peter A. Dinda, and J. Fortes. A case for grid computing on virtual machines. In ICDCS '03: Proceedings of the 23rd International Conference on Distributed Computing Systems, page 550, Washington, DC, USA, IEEE Computer Society. 8) G. J. Popek and R. P. Goldberg, "Formal requirements for virtualizable third generation architectures, " Comm. ACM, vol. 17, no. 7, pp , ) K. J. Higgins. Vm's create potential risks. Technical report, darkreading, nt.asp?doc-id= ISSN: Page 177

Dynamic Resource allocation in Cloud

Dynamic Resource allocation in Cloud Dynamic Resource allocation in Cloud ABSTRACT: Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from

More information

Migration of Virtual Machines for Better Performance in Cloud Computing Environment

Migration of Virtual Machines for Better Performance in Cloud Computing Environment Migration of Virtual Machines for Better Performance in Cloud Computing Environment J.Sreekanth 1, B.Santhosh Kumar 2 PG Scholar, Dept. of CSE, G Pulla Reddy Engineering College, Kurnool, Andhra Pradesh,

More information

Virtual Machine Monitors. Dr. Marc E. Fiuczynski Research Scholar Princeton University

Virtual Machine Monitors. Dr. Marc E. Fiuczynski Research Scholar Princeton University Virtual Machine Monitors Dr. Marc E. Fiuczynski Research Scholar Princeton University Introduction Have been around since 1960 s on mainframes used for multitasking Good example VM/370 Have resurfaced

More information

Virtualization Technology using Virtual Machines for Cloud Computing

Virtualization Technology using Virtual Machines for Cloud Computing International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Virtualization Technology using Virtual Machines for Cloud Computing T. Kamalakar Raju 1, A. Lavanya 2, Dr. M. Rajanikanth 2 1,

More information

Dynamic Resource management with VM layer and Resource prediction algorithms in Cloud Architecture

Dynamic Resource management with VM layer and Resource prediction algorithms in Cloud Architecture Dynamic Resource management with VM layer and Resource prediction algorithms in Cloud Architecture 1 Shaik Fayaz, 2 Dr.V.N.Srinivasu, 3 Tata Venkateswarlu #1 M.Tech (CSE) from P.N.C & Vijai Institute of

More information

Enhancing the Scalability of Virtual Machines in Cloud

Enhancing the Scalability of Virtual Machines in Cloud Enhancing the Scalability of Virtual Machines in Cloud Chippy.A #1, Ashok Kumar.P #2, Deepak.S #3, Ananthi.S #4 # Department of Computer Science and Engineering, SNS College of Technology Coimbatore, Tamil

More information

Avoiding Overload Using Virtual Machine in Cloud Data Centre

Avoiding Overload Using Virtual Machine in Cloud Data Centre Avoiding Overload Using Virtual Machine in Cloud Data Centre Ms.S.Indumathi 1, Mr. P. Ranjithkumar 2 M.E II year, Department of CSE, Sri Subramanya College of Engineering and Technology, Palani, Dindigul,

More information

International Journal of Emerging Technology & Research

International Journal of Emerging Technology & Research International Journal of Emerging Technology & Research A Study Based on the Survey of Optimized Dynamic Resource Allocation Techniques in Cloud Computing Sharvari J N 1, Jyothi S 2, Neetha Natesh 3 1,

More information

Keywords Distributed Computing, On Demand Resources, Cloud Computing, Virtualization, Server Consolidation, Load Balancing

Keywords Distributed Computing, On Demand Resources, Cloud Computing, Virtualization, Server Consolidation, Load Balancing Volume 5, Issue 1, January 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Survey on Load

More information

International Journal of Advance Research in Computer Science and Management Studies

International Journal of Advance Research in Computer Science and Management Studies Volume 3, Issue 6, June 2015 ISSN: 2321 7782 (Online) International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online

More information

IMPLEMENTATION OF VIRTUAL MACHINES FOR DISTRIBUTION OF DATA RESOURCES

IMPLEMENTATION OF VIRTUAL MACHINES FOR DISTRIBUTION OF DATA RESOURCES INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND SCIENCE IMPLEMENTATION OF VIRTUAL MACHINES FOR DISTRIBUTION OF DATA RESOURCES M.Nagesh 1, N.Vijaya Sunder Sagar 2, B.Goutham 3, V.Naresh 4

More information

IaaS Cloud Architectures: Virtualized Data Centers to Federated Cloud Infrastructures

IaaS Cloud Architectures: Virtualized Data Centers to Federated Cloud Infrastructures IaaS Cloud Architectures: Virtualized Data Centers to Federated Cloud Infrastructures Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Introduction

More information

Energy Constrained Resource Scheduling for Cloud Environment

Energy Constrained Resource Scheduling for Cloud Environment Energy Constrained Resource Scheduling for Cloud Environment 1 R.Selvi, 2 S.Russia, 3 V.K.Anitha 1 2 nd Year M.E.(Software Engineering), 2 Assistant Professor Department of IT KSR Institute for Engineering

More information

Infrastructure as a Service (IaaS)

Infrastructure as a Service (IaaS) Infrastructure as a Service (IaaS) (ENCS 691K Chapter 4) Roch Glitho, PhD Associate Professor and Canada Research Chair My URL - http://users.encs.concordia.ca/~glitho/ References 1. R. Moreno et al.,

More information

A Novel Method for Resource Allocation in Cloud Computing Using Virtual Machines

A Novel Method for Resource Allocation in Cloud Computing Using Virtual Machines A Novel Method for Resource Allocation in Cloud Computing Using Virtual Machines Ch.Anusha M.Tech, Dr.K.Babu Rao, M.Tech, Ph.D Professor, MR. M.Srikanth Asst Professor & HOD, Abstract: Cloud computing

More information

RESOURCE MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT

RESOURCE MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT RESOURCE MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT A.Chermaraj 1, Dr.P.Marikkannu 2 1 PG Scholar, 2 Assistant Professor, Department of IT, Anna University Regional Centre Coimbatore, Tamilnadu (India)

More information

Allocation of Datacenter Resources Based on Demands Using Virtualization Technology in Cloud

Allocation of Datacenter Resources Based on Demands Using Virtualization Technology in Cloud Allocation of Datacenter Resources Based on Demands Using Virtualization Technology in Cloud G.Rajesh L.Bobbian Naik K.Mounika Dr. K.Venkatesh Sharma Associate Professor, Abstract: Introduction: Cloud

More information

Allocation of Resources Dynamically in Data Centre for Cloud Environment

Allocation of Resources Dynamically in Data Centre for Cloud Environment Allocation of Resources Dynamically in Data Centre for Cloud Environment Mr.Pramod 1, Mr. Kumar Swamy 2, Mr. Sunitha B. S 3 ¹Computer Science & Engineering, EPCET, VTU, INDIA ² Computer Science & Engineering,

More information

Efficient Resources Allocation and Reduce Energy Using Virtual Machines for Cloud Environment

Efficient Resources Allocation and Reduce Energy Using Virtual Machines for Cloud Environment Efficient Resources Allocation and Reduce Energy Using Virtual Machines for Cloud Environment R.Giridharan M.E. Student, Department of CSE, Sri Eshwar College of Engineering, Anna University - Chennai,

More information

Effective Resource Allocation For Dynamic Workload In Virtual Machines Using Cloud Computing

Effective Resource Allocation For Dynamic Workload In Virtual Machines Using Cloud Computing Effective Resource Allocation For Dynamic Workload In Virtual Machines Using Cloud Computing J.Stalin, R.Kanniga Devi Abstract In cloud computing, the business class customers perform scale up and scale

More information

COS 318: Operating Systems. Virtual Machine Monitors

COS 318: Operating Systems. Virtual Machine Monitors COS 318: Operating Systems Virtual Machine Monitors Andy Bavier Computer Science Department Princeton University http://www.cs.princeton.edu/courses/archive/fall10/cos318/ Introduction Have been around

More information

Multi-dimensional Affinity Aware VM Placement Algorithm in Cloud Computing

Multi-dimensional Affinity Aware VM Placement Algorithm in Cloud Computing Multi-dimensional Affinity Aware VM Placement Algorithm in Cloud Computing Nilesh Pachorkar 1, Rajesh Ingle 2 Abstract One of the challenging problems in cloud computing is the efficient placement of virtual

More information

Energy Conscious Virtual Machine Migration by Job Shop Scheduling Algorithm

Energy Conscious Virtual Machine Migration by Job Shop Scheduling Algorithm Energy Conscious Virtual Machine Migration by Job Shop Scheduling Algorithm Shanthipriya.M 1, S.T.Munusamy 2 ProfSrinivasan. R 3 M.Tech (IT) Student, Department of IT, PSV College of Engg & Tech, Krishnagiri,

More information

Cloud Computing. Chapter 8 Virtualization

Cloud Computing. Chapter 8 Virtualization Cloud Computing Chapter 8 Virtualization Learning Objectives Define and describe virtualization. Discuss the history of virtualization. Describe various types of virtualization. List the pros and cons

More information

INCREASING SERVER UTILIZATION AND ACHIEVING GREEN COMPUTING IN CLOUD

INCREASING SERVER UTILIZATION AND ACHIEVING GREEN COMPUTING IN CLOUD INCREASING SERVER UTILIZATION AND ACHIEVING GREEN COMPUTING IN CLOUD M.Rajeswari 1, M.Savuri Raja 2, M.Suganthy 3 1 Master of Technology, Department of Computer Science & Engineering, Dr. S.J.S Paul Memorial

More information

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Deep Mann ME (Software Engineering) Computer Science and Engineering Department Thapar University Patiala-147004

More information

COS 318: Operating Systems. Virtual Machine Monitors

COS 318: Operating Systems. Virtual Machine Monitors COS 318: Operating Systems Virtual Machine Monitors Kai Li and Andy Bavier Computer Science Department Princeton University http://www.cs.princeton.edu/courses/archive/fall13/cos318/ Introduction u Have

More information

A Survey Paper: Cloud Computing and Virtual Machine Migration

A Survey Paper: Cloud Computing and Virtual Machine Migration 577 A Survey Paper: Cloud Computing and Virtual Machine Migration 1 Yatendra Sahu, 2 Neha Agrawal 1 UIT, RGPV, Bhopal MP 462036, INDIA 2 MANIT, Bhopal MP 462051, INDIA Abstract - Cloud computing is one

More information

Efficient and Enhanced Load Balancing Algorithms in Cloud Computing

Efficient and Enhanced Load Balancing Algorithms in Cloud Computing , pp.9-14 http://dx.doi.org/10.14257/ijgdc.2015.8.2.02 Efficient and Enhanced Load Balancing Algorithms in Cloud Computing Prabhjot Kaur and Dr. Pankaj Deep Kaur M. Tech, CSE P.H.D prabhjotbhullar22@gmail.com,

More information

This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 12902

This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 12902 Open Archive TOULOUSE Archive Ouverte (OATAO) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited

More information

Group Based Load Balancing Algorithm in Cloud Computing Virtualization

Group Based Load Balancing Algorithm in Cloud Computing Virtualization Group Based Load Balancing Algorithm in Cloud Computing Virtualization Rishi Bhardwaj, 2 Sangeeta Mittal, Student, 2 Assistant Professor, Department of Computer Science, Jaypee Institute of Information

More information

International Journal of Computer & Organization Trends Volume21 Number1 June 2015 A Study on Load Balancing in Cloud Computing

International Journal of Computer & Organization Trends Volume21 Number1 June 2015 A Study on Load Balancing in Cloud Computing A Study on Load Balancing in Cloud Computing * Parveen Kumar * Er.Mandeep Kaur Guru kashi University,Talwandi Sabo Guru kashi University,Talwandi Sabo Abstract: Load Balancing is a computer networking

More information

Federation of Cloud Computing Infrastructure

Federation of Cloud Computing Infrastructure IJSTE International Journal of Science Technology & Engineering Vol. 1, Issue 1, July 2014 ISSN(online): 2349 784X Federation of Cloud Computing Infrastructure Riddhi Solani Kavita Singh Rathore B. Tech.

More information

Virtualization for Future Internet

Virtualization for Future Internet Virtualization for Future Internet 2010.02.23 Korea University Chuck Yoo (hxy@os.korea.ac.kr) Why Virtualization Internet today Pro and con Your wonderful research results Mostly with simulation Deployment

More information

Grid Computing Approach for Dynamic Load Balancing

Grid Computing Approach for Dynamic Load Balancing International Journal of Computer Sciences and Engineering Open Access Review Paper Volume-4, Issue-1 E-ISSN: 2347-2693 Grid Computing Approach for Dynamic Load Balancing Kapil B. Morey 1*, Sachin B. Jadhav

More information

Survey on Models to Investigate Data Center Performance and QoS in Cloud Computing Infrastructure

Survey on Models to Investigate Data Center Performance and QoS in Cloud Computing Infrastructure Survey on Models to Investigate Data Center Performance and QoS in Cloud Computing Infrastructure Chandrakala Department of Computer Science and Engineering Srinivas School of Engineering, Mukka Mangalore,

More information

Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load

Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load Pooja.B. Jewargi Prof. Jyoti.Patil Department of computer science and engineering,

More information

Fair Scheduling Algorithm with Dynamic Load Balancing Using In Grid Computing

Fair Scheduling Algorithm with Dynamic Load Balancing Using In Grid Computing Research Inventy: International Journal Of Engineering And Science Vol.2, Issue 10 (April 2013), Pp 53-57 Issn(e): 2278-4721, Issn(p):2319-6483, Www.Researchinventy.Com Fair Scheduling Algorithm with Dynamic

More information

Balancing Server in Public Cloud Using AJAS Algorithm

Balancing Server in Public Cloud Using AJAS Algorithm Balancing Server in Public Cloud Using AJAS Algorithm Ramya.B 1, Pragaladan R 2, M.Phil Part-Time Research Scholar, Assistant Professor Department of Computer Science, Department of Computer Science, Sri

More information

A Novel Switch Mechanism for Load Balancing in Public Cloud

A Novel Switch Mechanism for Load Balancing in Public Cloud International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) A Novel Switch Mechanism for Load Balancing in Public Cloud Kalathoti Rambabu 1, M. Chandra Sekhar 2 1 M. Tech (CSE), MVR College

More information

What Is It? Business Architecture Research Challenges Bibliography. Cloud Computing. Research Challenges Overview. Carlos Eduardo Moreira dos Santos

What Is It? Business Architecture Research Challenges Bibliography. Cloud Computing. Research Challenges Overview. Carlos Eduardo Moreira dos Santos Research Challenges Overview May 3, 2010 Table of Contents I 1 What Is It? Related Technologies Grid Computing Virtualization Utility Computing Autonomic Computing Is It New? Definition 2 Business Business

More information

21/09/11. Introduction to Cloud Computing. First: do not be scared! Request for contributors. ToDO list. Revision history

21/09/11. Introduction to Cloud Computing. First: do not be scared! Request for contributors. ToDO list. Revision history Request for contributors Introduction to Cloud Computing https://portal.futuregrid.org/contrib/cloud-computing-class by various contributors (see last slide) Hi and thanks for your contribution! If you

More information

Analysis on Virtualization Technologies in Cloud

Analysis on Virtualization Technologies in Cloud Analysis on Virtualization Technologies in Cloud 1 V RaviTeja Kanakala, V.Krishna Reddy, K.Thirupathi Rao 1 Research Scholar, Department of CSE, KL University, Vaddeswaram, India I. Abstract Virtualization

More information

Networking for Caribbean Development

Networking for Caribbean Development Networking for Caribbean Development BELIZE NOV 2 NOV 6, 2015 w w w. c a r i b n o g. o r g Virtualization: Architectural Considerations and Implementation Options Virtualization Virtualization is the

More information

A Review of Load Balancing Algorithms for Cloud Computing

A Review of Load Balancing Algorithms for Cloud Computing www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume - 3 Issue -9 September, 2014 Page No. 8297-8302 A Review of Load Balancing Algorithms for Cloud Computing Dr.G.N.K.Sureshbabu

More information

VIRTUAL RESOURCE MANAGEMENT FOR DATA INTENSIVE APPLICATIONS IN CLOUD INFRASTRUCTURES

VIRTUAL RESOURCE MANAGEMENT FOR DATA INTENSIVE APPLICATIONS IN CLOUD INFRASTRUCTURES U.P.B. Sci. Bull., Series C, Vol. 76, Iss. 2, 2014 ISSN 2286-3540 VIRTUAL RESOURCE MANAGEMENT FOR DATA INTENSIVE APPLICATIONS IN CLOUD INFRASTRUCTURES Elena Apostol 1, Valentin Cristea 2 Cloud computing

More information

Today: Data Centers & Cloud Computing" Data Centers"

Today: Data Centers & Cloud Computing Data Centers Today: Data Centers & Cloud Computing" Data Centers Cloud Computing Lecture 25, page 1 Data Centers" Large server and storage farms Used by enterprises to run server applications Used by Internet companies

More information

Effective Virtual Machine Scheduling in Cloud Computing

Effective Virtual Machine Scheduling in Cloud Computing Effective Virtual Machine Scheduling in Cloud Computing Subhash. B. Malewar 1 and Prof-Deepak Kapgate 2 1,2 Department of C.S.E., GHRAET, Nagpur University, Nagpur, India Subhash.info24@gmail.com and deepakkapgate32@gmail.com

More information

Optimized New Efficient Load Balancing Technique For Scheduling Virtual Machine

Optimized New Efficient Load Balancing Technique For Scheduling Virtual Machine Optimized New Efficient Load Balancing Technique For Scheduling Virtual Machine B.Preethi 1, Prof. C. Kamalanathan 2, 1 PG Scholar, 2 Professor 1,2 Bannari Amman Institute of Technology Sathyamangalam,

More information

Various Schemes of Load Balancing in Distributed Systems- A Review

Various Schemes of Load Balancing in Distributed Systems- A Review 741 Various Schemes of Load Balancing in Distributed Systems- A Review Monika Kushwaha Pranveer Singh Institute of Technology Kanpur, U.P. (208020) U.P.T.U., Lucknow Saurabh Gupta Pranveer Singh Institute

More information

Dynamic Load Balancing of Virtual Machines using QEMU-KVM

Dynamic Load Balancing of Virtual Machines using QEMU-KVM Dynamic Load Balancing of Virtual Machines using QEMU-KVM Akshay Chandak Krishnakant Jaju Technology, College of Engineering, Pune. Maharashtra, India. Akshay Kanfade Pushkar Lohiya Technology, College

More information

Elastic Load Balancing in Cloud Storage

Elastic Load Balancing in Cloud Storage Elastic Load Balancing in Cloud Storage Surabhi Jain, Deepak Sharma (Lecturer, Department of Computer Science, Lovely Professional University, Phagwara-144402) (Assistant Professor, Department of Computer

More information

A System for Dynamic Resource Allocation Using Virtualization technology and supports green computing in cloud computing environment

A System for Dynamic Resource Allocation Using Virtualization technology and supports green computing in cloud computing environment A System for Dynamic Resource Allocation Using Virtualization technology and supports green computing in cloud computing environment D.j prasuna, D.N.S.B kavitha M.tech student, svecw, bhimavaram, prasuna.darbhamulla@gmail.com

More information

A review of Virtualization Technology to Allocate Data Centre Resources Dynamically Based on Application Demands in Cloud Computing

A review of Virtualization Technology to Allocate Data Centre Resources Dynamically Based on Application Demands in Cloud Computing A review of Virtualization Technology to Allocate Data Centre Resources Dynamically Based on Application Demands in Cloud Computing Namita R. Jain 1 Lecturer in Computer Department, S.J.V.P.M s Polytechnic,

More information

Dynamic memory Allocation using ballooning and virtualization in cloud computing

Dynamic memory Allocation using ballooning and virtualization in cloud computing IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. IV (Mar-Apr. 2014), PP 19-23 Dynamic memory Allocation using ballooning and virtualization

More information

OPTIMIZING SERVER VIRTUALIZATION

OPTIMIZING SERVER VIRTUALIZATION OPTIMIZING SERVER VIRTUALIZATION HP MULTI-PORT SERVER ADAPTERS BASED ON INTEL ETHERNET TECHNOLOGY As enterprise-class server infrastructures adopt virtualization to improve total cost of ownership (TCO)

More information

The Key Technology Research of Virtual Laboratory based On Cloud Computing Ling Zhang

The Key Technology Research of Virtual Laboratory based On Cloud Computing Ling Zhang International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2015) The Key Technology Research of Virtual Laboratory based On Cloud Computing Ling Zhang Nanjing Communications

More information

Figure 1. The cloud scales: Amazon EC2 growth [2].

Figure 1. The cloud scales: Amazon EC2 growth [2]. - Chung-Cheng Li and Kuochen Wang Department of Computer Science National Chiao Tung University Hsinchu, Taiwan 300 shinji10343@hotmail.com, kwang@cs.nctu.edu.tw Abstract One of the most important issues

More information

PARALLELS CLOUD SERVER

PARALLELS CLOUD SERVER PARALLELS CLOUD SERVER An Introduction to Operating System Virtualization and Parallels Cloud Server 1 Table of Contents Introduction... 3 Hardware Virtualization... 3 Operating System Virtualization...

More information

IOS110. Virtualization 5/27/2014 1

IOS110. Virtualization 5/27/2014 1 IOS110 Virtualization 5/27/2014 1 Agenda What is Virtualization? Types of Virtualization. Advantages and Disadvantages. Virtualization software Hyper V What is Virtualization? Virtualization Refers to

More information

A Study on Analysis and Implementation of a Cloud Computing Framework for Multimedia Convergence Services

A Study on Analysis and Implementation of a Cloud Computing Framework for Multimedia Convergence Services A Study on Analysis and Implementation of a Cloud Computing Framework for Multimedia Convergence Services Ronnie D. Caytiles and Byungjoo Park * Department of Multimedia Engineering, Hannam University

More information

An Architecture Model of Sensor Information System Based on Cloud Computing

An Architecture Model of Sensor Information System Based on Cloud Computing An Architecture Model of Sensor Information System Based on Cloud Computing Pengfei You, Yuxing Peng National Key Laboratory for Parallel and Distributed Processing, School of Computer Science, National

More information

Cloud Computing Architecture: A Survey

Cloud Computing Architecture: A Survey Cloud Computing Architecture: A Survey Abstract Now a day s Cloud computing is a complex and very rapidly evolving and emerging area that affects IT infrastructure, network services, data management and

More information

Keywords: PDAs, VM. 2015, IJARCSSE All Rights Reserved Page 365

Keywords: PDAs, VM. 2015, IJARCSSE All Rights Reserved Page 365 Volume 5, Issue 7, July 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Energy Adaptive

More information

Cost Effective Automated Scaling of Web Applications for Multi Cloud Services

Cost Effective Automated Scaling of Web Applications for Multi Cloud Services Cost Effective Automated Scaling of Web Applications for Multi Cloud Services SANTHOSH.A 1, D.VINOTHA 2, BOOPATHY.P 3 1,2,3 Computer Science and Engineering PRIST University India Abstract - Resource allocation

More information

Modeling and Optimization of Resource Allocation in Cloud

Modeling and Optimization of Resource Allocation in Cloud 1 / 40 Modeling and Optimization of Resource Allocation in Cloud PhD Thesis Proposal Atakan Aral Thesis Advisor: Asst. Prof. Dr. Tolga Ovatman Istanbul Technical University Department of Computer Engineering

More information

Affinity Aware VM Colocation Mechanism for Cloud

Affinity Aware VM Colocation Mechanism for Cloud Affinity Aware VM Colocation Mechanism for Cloud Nilesh Pachorkar 1* and Rajesh Ingle 2 Received: 24-December-2014; Revised: 12-January-2015; Accepted: 12-January-2015 2014 ACCENTS Abstract The most of

More information

Cloud Server. Parallels. An Introduction to Operating System Virtualization and Parallels Cloud Server. White Paper. www.parallels.

Cloud Server. Parallels. An Introduction to Operating System Virtualization and Parallels Cloud Server. White Paper. www.parallels. Parallels Cloud Server White Paper An Introduction to Operating System Virtualization and Parallels Cloud Server www.parallels.com Table of Contents Introduction... 3 Hardware Virtualization... 3 Operating

More information

Dynamic Virtual Machine Scheduling for Resource Sharing In the Cloud Environment

Dynamic Virtual Machine Scheduling for Resource Sharing In the Cloud Environment Dynamic Virtual Machine Scheduling for Resource Sharing In the Cloud Environment Karthika.M 1 P.G Student, Department of Computer Science and Engineering, V.S.B Engineering College, Tamil Nadu 1 ABSTRACT:

More information

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 3, May-June 2015

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 3, May-June 2015 RESEARCH ARTICLE OPEN ACCESS Ensuring Reliability and High Availability in Cloud by Employing a Fault Tolerance Enabled Load Balancing Algorithm G.Gayathri [1], N.Prabakaran [2] Department of Computer

More information

PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE

PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE Sudha M 1, Harish G M 2, Nandan A 3, Usha J 4 1 Department of MCA, R V College of Engineering, Bangalore : 560059, India sudha.mooki@gmail.com 2 Department

More information

Task Scheduling for Efficient Resource Utilization in Cloud

Task Scheduling for Efficient Resource Utilization in Cloud Summer 2014 Task Scheduling for Efficient Resource Utilization in Cloud A Project Report for course COEN 241 Under the guidance of, Dr.Ming Hwa Wang Submitted by : Najuka Sankhe Nikitha Karkala Nimisha

More information

ENERGY EFFICIENT VIRTUAL MACHINE ASSIGNMENT BASED ON ENERGY CONSUMPTION AND RESOURCE UTILIZATION IN CLOUD NETWORK

ENERGY EFFICIENT VIRTUAL MACHINE ASSIGNMENT BASED ON ENERGY CONSUMPTION AND RESOURCE UTILIZATION IN CLOUD NETWORK International Journal of Computer Engineering & Technology (IJCET) Volume 7, Issue 1, Jan-Feb 2016, pp. 45-53, Article ID: IJCET_07_01_006 Available online at http://www.iaeme.com/ijcet/issues.asp?jtype=ijcet&vtype=7&itype=1

More information

Towards a New Model for the Infrastructure Grid

Towards a New Model for the Infrastructure Grid INTERNATIONAL ADVANCED RESEARCH WORKSHOP ON HIGH PERFORMANCE COMPUTING AND GRIDS Cetraro (Italy), June 30 - July 4, 2008 Panel: From Grids to Cloud Services Towards a New Model for the Infrastructure Grid

More information

ABSTRACT. KEYWORDS: Cloud Computing, Load Balancing, Scheduling Algorithms, FCFS, Group-Based Scheduling Algorithm

ABSTRACT. KEYWORDS: Cloud Computing, Load Balancing, Scheduling Algorithms, FCFS, Group-Based Scheduling Algorithm A REVIEW OF THE LOAD BALANCING TECHNIQUES AT CLOUD SERVER Kiran Bala, Sahil Vashist, Rajwinder Singh, Gagandeep Singh Department of Computer Science & Engineering, Chandigarh Engineering College, Landran(Pb),

More information

Resource Allocation Using Virtual Machines and Practical Outsourcing for Cloud Computing Environment

Resource Allocation Using Virtual Machines and Practical Outsourcing for Cloud Computing Environment IJCST Vo l. 5, Is s u e 4, Oc t - De c 2014 ISSN : 0976-8491 (Online) ISSN : 2229-4333 (Print) Resource Allocation Using Virtual Machines and Practical Outsourcing for Cloud Computing Environment 1 V.Sudarshan,

More information

Making a Smooth Transition to a Hybrid Cloud with Microsoft Cloud OS

Making a Smooth Transition to a Hybrid Cloud with Microsoft Cloud OS Making a Smooth Transition to a Hybrid Cloud with Microsoft Cloud OS Transitioning from today s highly virtualized data center environments to a true cloud environment requires solutions that let companies

More information

PERFORMANCE ANALYSIS OF PaaS CLOUD COMPUTING SYSTEM

PERFORMANCE ANALYSIS OF PaaS CLOUD COMPUTING SYSTEM PERFORMANCE ANALYSIS OF PaaS CLOUD COMPUTING SYSTEM Akmal Basha 1 Krishna Sagar 2 1 PG Student,Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science, India. 2 Associate

More information

Scheme of Resource Optimization using VM Migration for Federated Cloud

Scheme of Resource Optimization using VM Migration for Federated Cloud Proceedings of the Asia-Pacific Advanced Network 2011 v. 32, p. 36-44. Scheme of Resource Optimization using VM Migration for Federated Cloud Yanjue Xu 1, *, Yuji Sekiya 1 Department of Electrical Engineering

More information

Multifaceted Resource Management for Dealing with Heterogeneous Workloads in Virtualized Data Centers

Multifaceted Resource Management for Dealing with Heterogeneous Workloads in Virtualized Data Centers Multifaceted Resource Management for Dealing with Heterogeneous Workloads in Virtualized Data Centers Íñigo Goiri, J. Oriol Fitó, Ferran Julià, Ramón Nou, Josep Ll. Berral, Jordi Guitart and Jordi Torres

More information

International Journal of Engineering Trends and Applications (IJETA) Volume 1 Issue 1, Jul-Aug 2014

International Journal of Engineering Trends and Applications (IJETA) Volume 1 Issue 1, Jul-Aug 2014 RESEARCH ARTICLE OPEN ACCESS Scheduling s for Allocation of Resources in Cloud Computing Environment K K Shahabanath 1, T Sreekesh Namboodiri 2 Research Scholar 1, Assistant Professor 2 Department of Computer

More information

Load balancing model for Cloud Data Center ABSTRACT:

Load balancing model for Cloud Data Center ABSTRACT: Load balancing model for Cloud Data Center ABSTRACT: Cloud data center management is a key problem due to the numerous and heterogeneous strategies that can be applied, ranging from the VM placement to

More information

CS 695 Topics in Virtualization and Cloud Computing and Storage Systems. Introduction

CS 695 Topics in Virtualization and Cloud Computing and Storage Systems. Introduction CS 695 Topics in Virtualization and Cloud Computing and Storage Systems Introduction Hot or not? source: Gartner Hype Cycle for Emerging Technologies, 2014 2 Source: http://geekandpoke.typepad.com/ 3 Cloud

More information

XMPP A Perfect Protocol for the New Era of Volunteer Cloud Computing

XMPP A Perfect Protocol for the New Era of Volunteer Cloud Computing International Journal of Computational Engineering Research Vol, 03 Issue, 10 XMPP A Perfect Protocol for the New Era of Volunteer Cloud Computing Kamlesh Lakhwani 1, Ruchika Saini 1 1 (Dept. of Computer

More information

Lecture 02a Cloud Computing I

Lecture 02a Cloud Computing I Mobile Cloud Computing Lecture 02a Cloud Computing I 吳 秀 陽 Shiow-yang Wu What is Cloud Computing? Computing with cloud? Mobile Cloud Computing Cloud Computing I 2 Note 1 What is Cloud Computing? Walking

More information

Virtualizing Exchange

Virtualizing Exchange Virtualizing Exchange Simplifying and Optimizing Management of Microsoft Exchange Server Using Virtualization Technologies By Anil Desai Microsoft MVP September, 2008 An Alternative to Hosted Exchange

More information

Dynamic Resource Allocation in Software Defined and Virtual Networks: A Comparative Analysis

Dynamic Resource Allocation in Software Defined and Virtual Networks: A Comparative Analysis Dynamic Resource Allocation in Software Defined and Virtual Networks: A Comparative Analysis Felipe Augusto Nunes de Oliveira - GRR20112021 João Victor Tozatti Risso - GRR20120726 Abstract. The increasing

More information

International Journal Of Engineering Research & Management Technology

International Journal Of Engineering Research & Management Technology International Journal Of Engineering Research & Management Technology March- 2014 Volume-1, Issue-2 PRIORITY BASED ENHANCED HTV DYNAMIC LOAD BALANCING ALGORITHM IN CLOUD COMPUTING Srishti Agarwal, Research

More information

Technical Paper. Moving SAS Applications from a Physical to a Virtual VMware Environment

Technical Paper. Moving SAS Applications from a Physical to a Virtual VMware Environment Technical Paper Moving SAS Applications from a Physical to a Virtual VMware Environment Release Information Content Version: April 2015. Trademarks and Patents SAS Institute Inc., SAS Campus Drive, Cary,

More information

System Models for Distributed and Cloud Computing

System Models for Distributed and Cloud Computing System Models for Distributed and Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Classification of Distributed Computing Systems

More information

Overview of Cloud Computing (ENCS 691K Chapter 1)

Overview of Cloud Computing (ENCS 691K Chapter 1) Overview of Cloud Computing (ENCS 691K Chapter 1) Roch Glitho, PhD Associate Professor and Canada Research Chair My URL - http://users.encs.concordia.ca/~glitho/ Overview of Cloud Computing Towards a definition

More information

Virtualization. Keywords Virtualization, Server Virtualization, Resource Optimization, etc.

Virtualization. Keywords Virtualization, Server Virtualization, Resource Optimization, etc. Volume 3, Issue 6, June 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Review Paper on

More information

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b Proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA-14) Reallocation and Allocation of Virtual Machines in Cloud Computing Manan

More information

CS 695 Topics in Virtualization and Cloud Computing. Introduction

CS 695 Topics in Virtualization and Cloud Computing. Introduction CS 695 Topics in Virtualization and Cloud Computing Introduction This class What does virtualization and cloud computing mean? 2 Cloud Computing The in-vogue term Everyone including his/her dog want something

More information

Auto-Scaling Model for Cloud Computing System

Auto-Scaling Model for Cloud Computing System Auto-Scaling Model for Cloud Computing System Che-Lun Hung 1*, Yu-Chen Hu 2 and Kuan-Ching Li 3 1 Dept. of Computer Science & Communication Engineering, Providence University 2 Dept. of Computer Science

More information

Challenges and Importance of Green Data Center on Virtualization Environment

Challenges and Importance of Green Data Center on Virtualization Environment Challenges and Importance of Green Data Center on Virtualization Environment Abhishek Singh Department of Information Technology Amity University, Noida, Uttar Pradesh, India Priyanka Upadhyay Department

More information

Multilevel Communication Aware Approach for Load Balancing

Multilevel Communication Aware Approach for Load Balancing Multilevel Communication Aware Approach for Load Balancing 1 Dipti Patel, 2 Ashil Patel Department of Information Technology, L.D. College of Engineering, Gujarat Technological University, Ahmedabad 1

More information

CDBMS Physical Layer issue: Load Balancing

CDBMS Physical Layer issue: Load Balancing CDBMS Physical Layer issue: Load Balancing Shweta Mongia CSE, School of Engineering G D Goenka University, Sohna Shweta.mongia@gdgoenka.ac.in Shipra Kataria CSE, School of Engineering G D Goenka University,

More information

Grid Computing Vs. Cloud Computing

Grid Computing Vs. Cloud Computing International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 6 (2013), pp. 577-582 International Research Publications House http://www. irphouse.com /ijict.htm Grid

More information