Enhancing the Scalability of Virtual Machines in Cloud

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Enhancing the Scalability of Virtual Machines in Cloud"

Transcription

1 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 Nadu, India Abstract- In cloud computing, the overloaded hosts are managed by allocating the Virtual Machines from that host to another. This increases the resource utilization. The proposed model introduces a load balanced model for the cloud based on the dynamic resource allocation concept with a switching technique to select different methods for different scenarios. The algorithm applies the game theory for implementing resource allocation strategy to improve the efficiency of the cloud environment. Index Terms- Cloud computing, load balancing, green computing, overload detection. I. INTRODUCTION Cloud computing has become an increasingly popular model in which computing resources are made available on-demand to the user as required. The unique value of cloud computing creates new opportunities to align IT and business motives. Cloud computing works only with the help of internet for delivering IT- Enabled capabilities as a service to any needed users i.e. through cloud computing we can access anything that we want from anywhere to any computer without worrying about anything like about their storage, cost, management and so on. Clouds are large pools of easily usable and accessible virtualized resources. These resources can be dynamically scaled up or down to adjust to a different load, allowing maximum utilization of resource. It s a pay-per-use model in which the service Provider with the help of Service Level Agreements (SLAs) provides a pool of computing resources. Any organizations and individuals can be benefited from this mass computing and storage centers, provided by large companies with stable and strong cloud facilities. The concept behind cloud computing is virtualization. On-demand deployment, Internet delivery of services, and open source software is the important characteristics of cloud computing. From one point of view, cloud computing is nothing new because the concepts used in it is existing. From other view, cloud computing is new because of its flexibility, update-ability, deployment techniques. The applications and its information in cloud computing are maintained and updated with the help of internet and remote servers. For using any application from cloud computing the users need not install it in their physical device. They can access their files from any device with access to internet. Cloud computing provides more efficient computing techniques by increased bandwidth, memory, storage and security for files [1]. The cloud has a great impact on businesses of all sizes-from small and midsized businesses to large enterprisesand it s showing no signs of slowing down. There are three cloud service models. IaaS provides the entire infrastructure for computing such that the users need not worry about hardware, power and cooling system to protect this hardware. Computer resources can be provisioned on demand as a utility. PaaS takes us to the next level in the stack it provides the operating system, database, ISSN: Page 208

2 application server, and programming language for developing a software or application. SaaS is the next level in the stack. SaaS provides the application or service through internet connection. In this service model, the consumer only needs to focus on administering users to the system. Load balancing is an efficient method for distributing workloads across various computing resources. Load balancing focuses on increasing response time, throughput and to overcome overloading of any resources [2]. More work can be executed in minimum amount of time when deploying load balancing. Load balancing is the process of dividing the loads between n numbers of computers which helps in performing some operation efficiently. Because of this all users get served faster. Load balancing can be implemented with hardware, software, or a combination of both. Typically, load balancing is the main reason for computer server clustering. In this paper we propose a model for avoiding the overloading of the servers by load balancing. The idle servers that is which do not have any virtual machines running on it can be turned off or made to go to sleep mode thus saving energy. data locality while keeping fairness among different jobs [5]. Dynamic priorities to jobs and users were assigned to achieve resource allocation [6]. Live migration of VM is used for dynamic resource allocation. Sandpiper sorts the list of PMs based on their volumes and the VMs in each PM in their volume to size ratio [7]. It abstracts away critical information needed when making the migration decision and considers the PMs and the VMs in the presorted order. Another method in which it uses VM and data migration to mitigate hot spots not just on the servers, but also on network devices and the storage nodes as well [8]. A method using skewness was also used for resource allocation dynamically [9]. This measures the uneven utilization of resources on a server. Load prediction algorithm is used to identify the hotspots and the cold spots. Hotspots occur when servers are overloaded. Cold spot is when the servers are in idle state without performing any operation. The algorithm then migrates the VMs from the servers coming under the category of hotspot to server in idle state. It helps in dynamic resource allocation of resources. II. RELATED WORKS Dynamic resource allocation of web based applications was already carried out. The web applications were scaled automatically. Each server has the copies of all the web applications in the system in MUSE [3]. Some resource allocation methods were based on network flow algorithms to allocate the load of an application [4]. Quincy adopts min-cost flow model in task scheduling to maximize III. PROPOSED MODEL In the system architecture each physical machine runs the Virtual Machine Monitor such as Xen hypervisor. The virtual machine contains more number of applications running in it. There is backend storage for these physical machines. The interoperability of virtual machines to physical machines are being managed. Every physical machine has a local node manager. This local node manager is used for collecting the resource ISSN: Page 209

3 utilization levels of all the virtual machines running in that physical machine. The memory, storage and bandwidth usage can be analyzed using the scheduling techniques used in the Virtual Machine Monitor. The utilization of memory is not being identified by the hypervisor. This can be managed by identifying the storage shortage in virtual machine. The information gathered at each physical machine is send to the controller which is responsible for the scheduling in the virtual machines. The local node manager invokes the scheduler in virtual machines regarding the history of demand, load of physical machines. A predictor is used for foretelling the resource demands of virtual machines and in identifying the loads in the physical machines based on previous analysis. The physical machines load is calculated by monitoring the resource utilization of the virtual machines. The local node manager tries to meet all the demands by allocating the virtual machines which has mutual sharing of same Virtual Machine Monitor. The hypervisor can replace the CPU allocation between virtual machines by altering the weights in the scheduler. The virtual machine scheduler has hot spot predictor. It monitors whether the resource utilization of physical machine has gone above the threshold. If any occurs, then any virtual machines running in the physical machine is migrated for reducing the load of the physical machine and increasing its performance. The scheduler also has a cold spot identifier. This is used for checking the average or normal utilization of active physical machines is below the threshold or not. If any occurs, then these physical machines can be moved to shut down mode by moving all its virtual machines. This migration list is then forwarded to the controller by the local node manager. In order to identify the future resource requirements of virtual machines, it is necessary to view the application level usage of the virtual machines. For performing this needs modification of the virtual machine. This is a tedious process. Another approach is to identify the previous activities of the virtual machines. The CPU loads on the physical machines are determined as discussed previously. A. MITIGATION SPOTS Fig.1 Handling hot spot and cold spot The algorithm calculates the resource utilization in all the physical machines. It also evaluates the resource allocation depending on the calculated future resource demands of the virtual machines. A server or a physical machine is being described as a hot spot only when the resource utilization is above the threshold as described above. This means that the server or physical machine is in overload state and number of virtual machines running in it more. This leads to result that these virtual machines should be migrated to any other physical machine having same hypervisor. Similarly a server or physical machine is being described as a cold spot only when the resource utilization is below the threshold, as the name implies. This means that the server or physical machine ISSN: Page 210

4 is not performing any operation; else to say in simple terms the server or the physical machine is in idle state. Such nodes can be made to move to sleep mode. A node is said to be in active state if it has one virtual machine running (minimum). Finally a server or the physical machine is said to have a warm spot when the level of resource utilization is high to have the server performing its application and not too high to change into hot spot, which will in turn affect the resource demands. These thresholds vary according to various types of resources. Consider the instance, the threshold for CPU usage be defined as 85%. Then it becomes a hot spot if it goes beyond 85%. When a hot spot is identified in the system it must be migrated. These hot spots are listed according to the temperature i.e., the hottest is first handled. Trying to remove all the hot spots are not possible, atleast their temperature must be brought down. While migrating the virtual machines, initially which virtual machine is to be migrated must be decided. If any ties occur then the virtual machine which can minimize the uneven resource utilization is being selected. All the virtual machines to be migrated are stored in a list. For the stored virtual machines, availability of destination is checked. It is also to be noted that on migrating the virtual machine from a hot spot server, the receiving server must not change to hot spot. Such servers are identified and updated. Destinations are found for all such virtual machines in the list. This overcomes the overloaded state of the server or the physical machine. B. ENERGY CONSERVATION When a server or physical machines is in cold spot as mentioned earlier, the virtual machines in that node is migrated to some other active servers. Then that server or the physical machine is switched off. This can help a lot in energy conservation. This is achieving green computing. The main goal in green computing is to minimize the count of servers in the active state which is not having a load or not performing any operation currently or in future. Similar to the list of virtual machines in hot spot server, a list is maintained here also which is the exact opposite of the previous list. Here the list is sorted with minimum temperature. The virtual machines in cold spot servers are assigned a new destination. These destinations are selected in such a way that these must be in warm spot state. Thus the energy is saved even to a accepting level. C. GAME THEORY As mentioned earlier, the virtual machines are to be migrated if the server is in hot spot or in cold spot. The virtual machines are migrated from hot spot server in order to avoid or overcome overloading. Similarly the virtual machines are migrated from cold spot server in order to save energy and achieve green computing by turning off the idle servers. These migrations are carried out based on the game theory strategies. Each server is considered as the players and all have given equal priorities [10]. One server takes an action and all other available servers react accordingly. If a server goes to hot spot state then it tries to manage the overload or checks for the nearby server availability. Various servers are selected for virtual machine migration. The most nearer server and the server with warm threshold is selected. The server for migrating the virtual machine does not wait for monitoring any other server s ISSN: Page 211

5 activities and just migrate its virtual machine to the server with warm threshold. IV. CONCLUSION Overloading is the one of the important issue. It must be managed efficiently to achieve better performance. All the resource demands must be meet at the required time. If overloading occurs then this is not possible. Load balancing is an important factor in meeting resource demands. Various other techniques can be used for load balancing. Here the activities of all the servers are monitored continuously. Identifying hot spot, cold spot and warm spot is an important process. Analyzing these spots helps a lot in migrating virtual machines and in deciding which virtual machines to be migrated to which destination. [8] A. Singh, M. Korupolu, and D. Mohapatra, Server-storage virtualization: integration and load balancing in data centers, in Proc. of the ACM/IEEE conference on Supercomputing, [9] Zhen Xiao, Weijia Song and Qi Chen, Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment IEEE Transaction on Parallel and Distributed Systems [10] Nageswara S.V. Rao, Chris Y. T. Ma, Cloud Computing Infrastructure Robustness: A Game Theory Approach International Conference on Computing, Networking and Communications(ICNC) REFERENCES [1] Pankaj Arora, Rubal Chaudhry Wadhawan, Er. Satinder Pal Ahuja Cloud Computing Security Issues in Infrastructure as a Service International Journal of Advanced Research in Computer Science and Software Engineering Volume 2, Issue 1, January [2] Anton Beloglazov and Rajkumar Buyya, Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints IEEE Transactions on Parallel and Distributed Systems, Vol.24, No.7, July [3] J. S. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat, and R. P. Doyle, Managing energy and server resources in hosting centers, in Proc. of the ACM Symposium on Operating System Principles (SOSP 01), Oct [4] C. Tang, M. Steinder, M. Spreitzer, and G. Pacifici, A scalable application placement controller for enterprise data centers, in Proc. of the International World Wide Web Conference (WWW 07), May [5] M. Isard, V. Prabhakaran, J. Currey, U. Wieder, K. Talwar, and A. Goldberg, Quincy: Fair scheduling for distributed computing clusters, in Proc. of the ACM Symposium on Operating System Principles (SOSP 09), Oct [6] T. Sandholm and K. Lai, Mapreduce optimization using regulated dynamic prioritization, in Proc. of the international joint conference on Measurement and modeling of computer systems (SIGMETRICS 09), [7] T. Wood, P. Shenoy, A. Venkataramani, and M. Yousif, Black-box and gray-box strategies for virtual machine migration, in Proc. of the Symposium on Networked Systems Design and Implementation (NSDI 07), Apr ISSN: Page 212

AN APPROACH TOWARDS DISTRIBUTION OF DATA RESOURCES FOR CLOUD COMPUTING ENVIRONMENT

AN APPROACH TOWARDS DISTRIBUTION OF DATA RESOURCES FOR CLOUD COMPUTING ENVIRONMENT INTERNATIONAL JOURNAL OF REVIEWS ON RECENT ELECTRONICS AND COMPUTER SCIENCE AN APPROACH TOWARDS DISTRIBUTION OF DATA RESOURCES FOR CLOUD COMPUTING ENVIRONMENT A.Priyanka 1, G.Pavani 2 1 M.Tech Student,

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

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

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

Virtualization Technology to Allocate Data Centre Resources Dynamically Based on Application Demands in Cloud Computing Virtualization Technology to Allocate Data Centre Resources Dynamically Based on Application Demands in Cloud Computing Namita R. Jain, PG Student, Alard College of Engg & Mgmt., Rakesh Rajani, Asst. Professor,

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

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) LOAD BALANCING SERVER AVAILABILITY ISSUE

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) LOAD BALANCING SERVER AVAILABILITY ISSUE INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 6367(Print) ISSN 0976 6375(Online)

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

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

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

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

ENHANCING MINIMAL VIRTUAL MACHINE MIGRATION IN CLOUD ENVIRONMENT

ENHANCING MINIMAL VIRTUAL MACHINE MIGRATION IN CLOUD ENVIRONMENT ENHANCING MINIMAL VIRTUAL MACHINE MIGRATION IN CLOUD ENVIRONMENT Lidin Das 1, P Mohamed Shameem 2 1 M.Tech Student, Dept. of CSE, TKM Institute of Technology, Kerala, India 2 Associate Professor, Dept.

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

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

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

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

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

Energetic Resource Allocation Framework Using Virtualization in Cloud

Energetic Resource Allocation Framework Using Virtualization in Cloud 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

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

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

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

Dynamic Resource Management Using Skewness and Load Prediction Algorithm for Cloud Computing

Dynamic Resource Management Using Skewness and Load Prediction Algorithm for Cloud Computing Dynamic Resource Management Using Skewness and Load Prediction Algorithm for Cloud Computing SAROJA V 1 1 P G Scholar, Department of Information Technology Sri Venkateswara College of Engineering Chennai,

More information

An Approach for Dynamic Resource Allocation Using Virtualization technology for Cloud Computing

An Approach for Dynamic Resource Allocation Using Virtualization technology for Cloud Computing An Approach for Dynamic Resource Allocation Using Virtualization technology for Cloud Computing D. Mahesh Goud 1, V. Satish Kumar 2 1 M.Tech Student, Dept. of cse, Malla Reddy Engineering College (Autonomous),

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

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

Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment

Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment IEEE TRANSACTION ON PARALLEL AND DISTRIBUTED SYSTEMS(TPDS), VOL. N, NO. N, MONTH YEAR Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment Zhen Xiao, Senior Member, IEEE,

More information

Development of Private Cloud

Development of Private Cloud International Journal of Scientific and Research Publications, Volume 3, Issue 12, December 2013 1 Development of Private Cloud Mr. Likhesh Nilkanth Kolhe 1, Prof. Sachin Bojewar 2 1 PG Scholar, Dept of

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

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

Black-box and Gray-box Strategies for Virtual Machine Migration

Black-box and Gray-box Strategies for Virtual Machine Migration Black-box and Gray-box Strategies for Virtual Machine Migration Wood, et al (UMass), NSDI07 Context: Virtual Machine Migration 1 Introduction Want agility in server farms to reallocate resources devoted

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

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

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

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

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

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

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

Cloud Based Dynamic Workload Management

Cloud Based Dynamic Workload Management International Journal of scientific research and management (IJSRM) Volume 2 Issue 6 Pages 940-945 2014 Website: www.ijsrm.in ISSN (e): 2321-3418 Cloud Based Dynamic Workload Management Ms. Betsy M Babykutty

More information

Load Balancing in the Cloud Computing Using Virtual Machine Migration: A Review

Load Balancing in the Cloud Computing Using Virtual Machine Migration: A Review Load Balancing in the Cloud Computing Using Virtual Machine Migration: A Review 1 Rukman Palta, 2 Rubal Jeet 1,2 Indo Global College Of Engineering, Abhipur, Punjab Technical University, jalandhar,india

More information

Development of Intranet App with JAVA on Oracle Cloud

Development of Intranet App with JAVA on Oracle Cloud Development of Intranet App with JAVA on Oracle Cloud Saumendu Bose 1, Saurabh Kumar 2 1 M.Tech, 2 Asst. Prof., Dept. of CSE, S.I.T.E, S.V.S.U, Meerut Abstract Cloud computing is a computing environment,

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

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

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

Minimization of Energy Consumption Based on Various Techniques in Green Cloud Computing

Minimization of Energy Consumption Based on Various Techniques in Green Cloud Computing Minimization of Energy Consumption Based on Various Techniques in Green Cloud Computing Jaswinder Kaur 1, Sahil Vashist 2, Rajwinder Singh 3, Gagandeep Singh 4 Student, Dept. of CSE, Chandigarh Engineering

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

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

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

Virtualization Technology to Allocate Data Centre Resources Dynamically Based on Application Demands in Cloud Computing Virtualization Technology to Allocate Data Centre Resources Dynamically Based on Application Demands in Cloud Computing Namita R. Jain 1, Rakesh Rajani 2 1 PG Student, Department of Computer Engineering,

More information

Advanced Load Balancing Mechanism on Mixed Batch and Transactional Workloads

Advanced Load Balancing Mechanism on Mixed Batch and Transactional Workloads Advanced Load Balancing Mechanism on Mixed Batch and Transactional Workloads G. Suganthi (Member, IEEE), K. N. Vimal Shankar, Department of Computer Science and Engineering, V.S.B. Engineering College,

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

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

VM Based Resource Management for Cloud Computing Services

VM Based Resource Management for Cloud Computing Services Volume 4, Issue 5 AUG 2015 VM Based Resource Management for Cloud Computing Services 1 N. SOWMYA, 2 C. K. HEMANTHA RAMA 1 M.Tech Student, Department of CS. sowmyareddy.nr@gmail.com 2 Assistant Professor,

More information

An Energy Efficient Server Load Balancing Algorithm

An Energy Efficient Server Load Balancing Algorithm An Energy Efficient Server Load Balancing Algorithm Rima M. Shah 1, Dr. Priti Srinivas Sajja 2 1 Assistant Professor in Master of Computer Application,ITM Universe,Vadodara, India 2 Professor at Post Graduate

More information

Active Resource Provision in Cloud Computing Through Virtualization

Active Resource Provision in Cloud Computing Through Virtualization IN(nline): 2320-9801 IN (Print): 2320-9798 International Journal of Innovative esearch in Computer and Communication ngineering (n I 3297: 2007 Certified rganization) ol.2, pecial Issue 4, eptember 2014

More information

Windows Server 2008 R2 Hyper-V Live Migration

Windows Server 2008 R2 Hyper-V Live Migration Windows Server 2008 R2 Hyper-V Live Migration Table of Contents Overview of Windows Server 2008 R2 Hyper-V Features... 3 Dynamic VM storage... 3 Enhanced Processor Support... 3 Enhanced Networking Support...

More information

Exploring Resource Provisioning Cost Models in Cloud Computing

Exploring Resource Provisioning Cost Models in Cloud Computing Exploring Resource Provisioning Cost Models in Cloud Computing P.Aradhya #1, K.Shivaranjani *2 #1 M.Tech, CSE, SR Engineering College, Warangal, Andhra Pradesh, India # Assistant Professor, Department

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

Survey on Dynamic Resource Allocation Strategy in Cloud Computing Environment

Survey on Dynamic Resource Allocation Strategy in Cloud Computing Environment Survey on Dynamic Strategy in Environment N.Krishnaveni Dept. of CSE Erode Sengunthar Engineering College Thudupathi, India G.Sivakumar Dept. of CSE Erode Sengunthar Engineering College Thudupathi, India

More information

A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems

A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems Anton Beloglazov, Rajkumar Buyya, Young Choon Lee, and Albert Zomaya Present by Leping Wang 1/25/2012 Outline Background

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 Survey Of Various Load Balancing Algorithms In Cloud Computing

A Survey Of Various Load Balancing Algorithms In Cloud Computing A Survey Of Various Load Balancing Algorithms In Cloud Computing Dharmesh Kashyap, Jaydeep Viradiya Abstract: Cloud computing is emerging as a new paradigm for manipulating, configuring, and accessing

More information

Energy Optimized Virtual Machine Scheduling Schemes in Cloud Environment

Energy Optimized Virtual Machine Scheduling Schemes in Cloud Environment Abstract Energy Optimized Virtual Machine Scheduling Schemes in Cloud Environment (14-18) Energy Optimized Virtual Machine Scheduling Schemes in Cloud Environment Ghanshyam Parmar a, Dr. Vimal Pandya b

More information

INVESTIGATION ON ENERGY UTILIZATION IN CLOUD DATA CENTERS

INVESTIGATION ON ENERGY UTILIZATION IN CLOUD DATA CENTERS INVESTIGATION ON ENERGY UTILIZATION IN CLOUD DATA CENTERS 1 S.KALAISELVI, 2 C.S.KANIMOZHI SELVI 1 Research Scholar, 2 Associate Professor Email: 1 kalaiselvisubbarayan@gmail.com, 2 kanimozhi@kongu.ac.in

More information

International Journal of Digital Application & Contemporary research Website: www.ijdacr.com (Volume 2, Issue 9, April 2014)

International Journal of Digital Application & Contemporary research Website: www.ijdacr.com (Volume 2, Issue 9, April 2014) Green Cloud Computing: Greedy Algorithms for Virtual Machines Migration and Consolidation to Optimize Energy Consumption in a Data Center Rasoul Beik Islamic Azad University Khomeinishahr Branch, Isfahan,

More information

Dynamic Creation and Placement of Virtual Machine Using CloudSim

Dynamic Creation and Placement of Virtual Machine Using CloudSim Dynamic Creation and Placement of Virtual Machine Using CloudSim Vikash Rao Pahalad Singh College of Engineering, Balana, India Abstract --Cloud Computing becomes a new trend in computing. The IaaS(Infrastructure

More information

3. RELATED WORKS 2. STATE OF THE ART CLOUD TECHNOLOGY

3. RELATED WORKS 2. STATE OF THE ART CLOUD TECHNOLOGY Journal of Computer Science 10 (3): 484-491, 2014 ISSN: 1549-3636 2014 doi:10.3844/jcssp.2014.484.491 Published Online 10 (3) 2014 (http://www.thescipub.com/jcs.toc) DISTRIBUTIVE POWER MIGRATION AND MANAGEMENT

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

Two-Level Cooperation in Autonomic Cloud Resource Management

Two-Level Cooperation in Autonomic Cloud Resource Management Two-Level Cooperation in Autonomic Cloud Resource Management Giang Son Tran, Laurent Broto, and Daniel Hagimont ENSEEIHT University of Toulouse, Toulouse, France Email: {giang.tran, laurent.broto, daniel.hagimont}@enseeiht.fr

More information

Energy Efficient Resource Management in Virtualized Cloud Data Centers

Energy Efficient Resource Management in Virtualized Cloud Data Centers 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Energy Efficient Resource Management in Virtualized Cloud Data Centers Anton Beloglazov* and Rajkumar Buyya Cloud Computing

More information

Effective Load Balancing For Dynamic Resource Allocation in Cloud Computing.

Effective Load Balancing For Dynamic Resource Allocation in Cloud Computing. Effective Load Balancing For Dynamic Allocation in Cloud Computing. K Prasanna Kumar 1, S.Arun Kumar 2, Dr Jagadeeshan 3 M.Tech(CSE) Student, SRM University,Ramapuram,Chennai,Tamil Nadu,India 1 Assistant

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

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

Dynamic Load Balancing: Improve Efficiency in Cloud Computing Argha Roy * M.Tech CSE Netaji Subhash Engineering College West Bengal, India.

Dynamic Load Balancing: Improve Efficiency in Cloud Computing Argha Roy * M.Tech CSE Netaji Subhash Engineering College West Bengal, India. Dynamic Load Balancing: Improve Efficiency in Cloud Computing Argha Roy * M.Tech CSE Netaji Subhash Engineering College West Bengal, India. Diptam Dutta M.Tech CSE Heritage Institute of Technology West

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

ADAPTIVE LOAD BALANCING ALGORITHM USING MODIFIED RESOURCE ALLOCATION STRATEGIES ON INFRASTRUCTURE AS A SERVICE CLOUD SYSTEMS

ADAPTIVE LOAD BALANCING ALGORITHM USING MODIFIED RESOURCE ALLOCATION STRATEGIES ON INFRASTRUCTURE AS A SERVICE CLOUD SYSTEMS ADAPTIVE LOAD BALANCING ALGORITHM USING MODIFIED RESOURCE ALLOCATION STRATEGIES ON INFRASTRUCTURE AS A SERVICE CLOUD SYSTEMS Lavanya M., Sahana V., Swathi Rekha K. and Vaithiyanathan V. School of Computing,

More information

Dynamic resource management for energy saving in the cloud computing environment

Dynamic resource management for energy saving in the cloud computing environment Dynamic resource management for energy saving in the cloud computing environment Liang-Teh Lee, Kang-Yuan Liu, and Hui-Yang Huang Department of Computer Science and Engineering, Tatung University, Taiwan

More information

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD M. Lawanya Shri 1, Dr. S. Subha 2 1 Assistant Professor,School of Information Technology and Engineering, Vellore Institute of Technology, Vellore-632014

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

Green Computing Approach in Dynamic Resource Allocation for VM Environment

Green Computing Approach in Dynamic Resource Allocation for VM Environment Green Computing Approach in Dynamic Resource Allocation for VM Environment 1 Mahesh B Nagpure, 2 Prashant Dahiwale, 3 Punam Marbate 1 Student, 2 Professor, 3 Professor 1 Department of Computer Science

More information

Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing

Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing Hilda Lawrance* Post Graduate Scholar Department of Information Technology, Karunya University Coimbatore, Tamilnadu, India

More information

Cloud Computing Simulation Using CloudSim

Cloud Computing Simulation Using CloudSim Cloud Computing Simulation Using CloudSim Ranjan Kumar #1, G.Sahoo *2 # Assistant Professor, Computer Science & Engineering, Ranchi University, India Professor & Head, Information Technology, Birla Institute

More information

International Journal of Engineering Research & Management Technology

International Journal of Engineering Research & Management Technology International Journal of Engineering Research & Management Technology March- 2015 Volume 2, Issue-2 Survey paper on cloud computing with load balancing policy Anant Gaur, Kush Garg Department of CSE SRM

More information

@IJMTER-2015, All rights Reserved 355

@IJMTER-2015, All rights Reserved 355 e-issn: 2349-9745 p-issn: 2393-8161 Scientific Journal Impact Factor (SJIF): 1.711 International Journal of Modern Trends in Engineering and Research www.ijmter.com A Model for load balancing for the Public

More information

Performance Analysis of VM Scheduling Algorithm of CloudSim in Cloud Computing

Performance Analysis of VM Scheduling Algorithm of CloudSim in Cloud Computing IJECT Vo l. 6, Is s u e 1, Sp l-1 Ja n - Ma r c h 2015 ISSN : 2230-7109 (Online) ISSN : 2230-9543 (Print) Performance Analysis Scheduling Algorithm CloudSim in Cloud Computing 1 Md. Ashifuddin Mondal,

More information

Introduction to Cloud Computing. Srinath Beldona srinath_beldona@yahoo.com

Introduction to Cloud Computing. Srinath Beldona srinath_beldona@yahoo.com Introduction to Cloud Computing Srinath Beldona srinath_beldona@yahoo.com Agenda Pre-requisites Course objectives What you will learn in this tutorial? Brief history Is cloud computing new? Why cloud computing?

More information

CLOUD COMPUTING. When It's smarter to rent than to buy

CLOUD COMPUTING. When It's smarter to rent than to buy CLOUD COMPUTING When It's smarter to rent than to buy Is it new concept? Nothing new In 1990 s, WWW itself Grid Technologies- Scientific applications Online banking websites More convenience Not to visit

More information

Keywords Cloud computing, virtual machines, migration approach, deployment modeling

Keywords Cloud computing, virtual machines, migration approach, deployment modeling Volume 3, Issue 8, August 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Effective Scheduling

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

A Game Theory Modal Based On Cloud Computing For Public Cloud

A Game Theory Modal Based On Cloud Computing For Public Cloud IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. XII (Mar-Apr. 2014), PP 48-53 A Game Theory Modal Based On Cloud Computing For Public Cloud

More information

LOAD BALANCING IN CLOUD COMPUTING USING PARTITIONING METHOD

LOAD BALANCING IN CLOUD COMPUTING USING PARTITIONING METHOD LOAD BALANCING IN CLOUD COMPUTING USING PARTITIONING METHOD Mitesh Patel 1, Kajal Isamaliya 2, Hardik kadia 3, Vidhi Patel 4 CE Department, MEC, Surat, Gujarat, India 1 Asst.Professor, CSE Department,

More information

Energy Efficient Resource Management in Virtualized Cloud Data Centers

Energy Efficient Resource Management in Virtualized Cloud Data Centers Energy Efficient Resource Management in Virtualized Cloud Data Centers Anton Beloglazov and Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computer Science and

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

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

Priority Based On Cost for Dynamic Resource Allocation in Green Cloud Environment

Priority Based On Cost for Dynamic Resource Allocation in Green Cloud Environment Priority Based On Cost for Dynamic Resource Allocation in Green Cloud Environment Rituraj Dixit 1, Prashant Buyan 2, Surendra Kumar 3 Department of Computer Science, H.R. Institute of Technology, Ghaziabad,

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

Building secure mobile cloud network. Hu Chengwei

Building secure mobile cloud network. Hu Chengwei International Forum on Management, Education and Information Technology Application (IFMEITA 2016) Building secure mobile cloud network Hu Chengwei Guangzhou Civil Aviation College, China huchengwei@caac.net

More information

Green Cloud Computing: Balancing and Minimization of Energy Consumption

Green Cloud Computing: Balancing and Minimization of Energy Consumption Green Cloud Computing: Balancing and Minimization of Energy Consumption Ms. Amruta V. Tayade ASM INSTITUTE OF MANAGEMENT & COMPUTER STUDIES (IMCOST), THANE, MUMBAI. University Of Mumbai Mr. Surendra V.

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

Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds

Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds ABSTRACT Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds 1 B.Thirumala Rao, 2 L.S.S.Reddy Department of Computer Science and Engineering, Lakireddy Bali Reddy College

More information

MEASURING PERFORMANCE OF DYNAMIC LOAD BALANCING ALGORITHMS IN DISTRIBUTED COMPUTING APPLICATIONS

MEASURING PERFORMANCE OF DYNAMIC LOAD BALANCING ALGORITHMS IN DISTRIBUTED COMPUTING APPLICATIONS MEASURING PERFORMANCE OF DYNAMIC LOAD BALANCING ALGORITHMS IN DISTRIBUTED COMPUTING APPLICATIONS Priyesh Kanungo 1 Professor and Senior Systems Engineer (Computer Centre), School of Computer Science and

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