Power Management in Cloud Computing using Green Algorithm. -Kushal Mehta COP 6087 University of Central Florida

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Power Management in Cloud Computing using Green Algorithm. -Kushal Mehta COP 6087 University of Central Florida"

Transcription

1 Power Management in Cloud Computing using Green Algorithm -Kushal Mehta COP 6087 University of Central Florida

2 Motivation Global warming is the greatest environmental challenge today which is caused by carbon emissions. A large number of cloud computing systems waste a tremendous amount of energy and emit a considerable amount of carbon dioxide. Modern data centers operating under the cloud, host a variety of applications. Green cloud computing aims to achieve not only efficient allocation of resources but also minimize energy consumption and hence ensure that the future growth of the cloud computing is sustainable.

3 What is green computing? Green computing is defined as the study and practice of designing, manufacturing, using, and disposing of computers, servers, and associated sub systems efficiently and effectively with minimal or no impact on the environment. Research continues into key areas such as making the use of computers as energy efficient as possible, and designing algorithms and systems for efficiency related computer technologies. The different approaches to green computing are as follows: -Product longevity -Algorithmic Efficiency -Resource allocation -Virtualization -Power management

4 Architecture of a Green Cloud Computing Platform

5 Consumers/Brokers: submit service requests to the cloud. Green service allocator: acts as in interface between the cloud and the consumers -Green negotiator: Negotiates with consumers/brokers to finalize the SLA. -Service analyzer: Interprets and analyzes the service requirements of a submitted request before deciding to accept or reject it. -Consumer profiler: Gathers specific characteristics of the consumers. -Pricing: Decides how service requests are charged. -Energy monitor: Determines which physical machine to power on/off. -Service scheduler: Assigns requests to VMs and also decides when VMs are needed to be added or removed. -VM manager: Keeps track of the available VMs and their resource entitlements. -Accounting: Maintains actual usage of resources to compute user costs. Virtual machines: VMs can be dynamically started or stopped on a physical machine to meet accepted service requests. Physical machines: The underlying physical computing servers provide the hardware infrastructure for creating virtual resources to meet service demands.

6 Approaches to make cloud computing more green Dynamic voltage frequency scaling techniques (DVFS): The operating frequency of the clock is adjusted so that the supply voltage is regulated. But this method heavily depends on hardware and is not controllable according to varying needs. The power savings are also low compared to other methods. Resource allocation or virtual machine migration techniques: This method involves the transferring of VMs in such a way that the power increase is the least. The most power efficient nodes are selected and the VMs are transferred across them. Algorithmic approach: It has been experimentally determined that an idle server consumes about 70% of the power utilized by a fully utilized server.

7 The author has devised an energy model on the basis that the processor utilization has a linear relationship with the energy consumption. That is, for a particular task, the information on its processing time and processor utilization is sufficient to measure the energy consumption for that task.

8 For a resource ri at any given time, the utilization Ui is defined as: Where n is the number of tasks running at that time and ui,j is the resource usage of task tj. The energy consumption Ei of a resource ri at any given time is defined as: Where pmax is the power consumption at peak load and pmin is the power consumption at minimum load. The scheduling and resource allocation approach is primarily enabled using slack reclamation with the support of dynamic voltage/frequency scaling incorporated into many recent commodity processors. This technique temporarily decreases voltage supply level at the expense of lowering processing speed. Slack reclamation is made possible primarily by recent DVFS enabled processors and the parallel nature of the deployed tasks. For example, when the execution of a task is dependent on two predecessor tasks and these two tasks have different completion times, the predecessor task with an earlier completion time can afford additional run time (slack).

9 Since most DVFS based energy aware scheduling and resource allocation techniques are static (offline) algorithms with an assumption of tight coupling between tasks and resources (i.e., local tasks and dedicated resources),their application to our cloud scenario is not apparent, if not possible. The task consolidating algorithm proposed has the main performance goal of maximization of resource utilization and reduction of energy consumption. Unlike other task consolidation techniques, the proposed technique uses two interesting strategies namely memory compression and request discrimination. The former enables the conversion of CPU power into extra memory capacity to allow more (memory intensive) tasks to be consolidated, whereas the latter blocks useless/unfavorable requests (coming from Web crawlers) to eliminate unnecessary resource usage.

10 Task consolidation Algorithm Task consolidation is the process of allocating tasks to resources without violating time constraints aiming to maximize resource utilization. Two energy-conscious task consolidation algorithms are proposed by the author in the paper. 1) ECTC (Energy Consolidation and Task Consolidation) 2) MaxUtil (Maximum Utilization) Both ECTC and MaxUtil follow similar steps in algorithm description with the main difference being their cost functions. For a given task, two heuristics check every resource and identify the most energy efficient resource for that task. The evaluation of the most energy efficient resource is dependent on the used heuristic, or more specifically the cost function employed by the heuristic. The cost function of ECTC computes the actual energy consumption of the current task subtracting the minimum energy consumption (pmin) required to run a task if there are other tasks running in parallel with that task.

11 The value fi,j of a task tj on a resource ri obtained using the cost function of ECTC is defined as: Where Is the difference between pmax and pmin. uj is the utilization rate of tj and Ϯ0,Ϯ1,Ϯ2 are total processing time of tj. The cost function of MaxUtil is devised with the average utilization during the processing time of the current task as its core component. This function aims to increase consolidation density; and its advantage is two fold. The first and obvious advantage is energy consumption is reduced. And, the second benefit is that MaxUtil's cost function implicitly decreases the number of active resources since it tends to intensify the utilization of a small number of resources compared with ECTC's cost function.

12 The value fi,j of a task tj on a resource ri using the cost function of MaxUtil is defined as

13 Experimental evaluation The performance of ECTC and MaxUtil was thoroughly evaluated with a large number of experiments using a diverse set of tasks. In addition to task characteristics, three algorithms (random, ECTC and MaxUtil) were used. Variants of these three algorithms were further implemented incorporating task migration. The total number of experiments conducted is different numbers of tasks (between 100 and 5,000 at intervals of 100), 10 mean inter-arrival times (between 10 and 100 with a random uniform distribution), and three kinds of resource usage patterns. Three different kinds of resource usage patterns are random, low and high.

14 Results

15 Conclusion We can see from the graph that the two proposed algorithms have energy saving capabilities ECTC and MaxUtil outperform other random algorithms by 18% and 13% respectively. Tasks with lower source usage are more suitable for task consolidation as shown from the graphs. The algorithm proposed by the author successfully reduces the power utilization in cloud infrastructures This is experimentally verified. It can also imply possible savings (with better resource provisioning) in other operational costs. It also reduces the carbon footprint of cloud systems.

16 QUESTIONS??

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

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

CHAPTER 1 INTRODUCTION

CHAPTER 1 INTRODUCTION CHAPTER 1 INTRODUCTION 1.1 Background The command over cloud computing infrastructure is increasing with the growing demands of IT infrastructure during the changed business scenario of the 21 st Century.

More information

1. Simulation of load balancing in a cloud computing environment using OMNET

1. Simulation of load balancing in a cloud computing environment using OMNET Cloud Computing Cloud computing is a rapidly growing technology that allows users to share computer resources according to their need. It is expected that cloud computing will generate close to 13.8 million

More information

A Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing

A Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing A Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing Liang-Teh Lee, Kang-Yuan Liu, Hui-Yang Huang and Chia-Ying Tseng Department of Computer Science and Engineering,

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

Efficient Resource Management for Virtual Desktop Cloud Computing

Efficient Resource Management for Virtual Desktop Cloud Computing supercomputing manuscript No. (will be inserted by the editor) Efficient Resource Management for Virtual Desktop Cloud Computing Lien Deboosere Bert Vankeirsbilck Pieter Simoens Filip De Turck Bart Dhoedt

More information

Green Cloud Computing 班 級 : 資 管 碩 一 組 員 :710029011 黃 宗 緯 710029021 朱 雅 甜

Green Cloud Computing 班 級 : 資 管 碩 一 組 員 :710029011 黃 宗 緯 710029021 朱 雅 甜 Green Cloud Computing 班 級 : 資 管 碩 一 組 員 :710029011 黃 宗 緯 710029021 朱 雅 甜 Outline Introduction Proposed Schemes VM configuration VM Live Migration Comparison 2 Introduction (1/2) In 2006, the power consumption

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

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

CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms

CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov, César A. F. De Rose,

More information

Energy-Aware Multi-agent Server Consolidation in Federated Clouds

Energy-Aware Multi-agent Server Consolidation in Federated Clouds Energy-Aware Multi-agent Server Consolidation in Federated Clouds Alessandro Ferreira Leite 1 and Alba Cristina Magalhaes Alves de Melo 1 Department of Computer Science University of Brasilia, Brasilia,

More information

A dynamic optimization model for power and performance management of virtualized clusters

A dynamic optimization model for power and performance management of virtualized clusters A dynamic optimization model for power and performance management of virtualized clusters Vinicius Petrucci, Orlando Loques Univ. Federal Fluminense Niteroi, Rio de Janeiro, Brasil Daniel Mossé Univ. of

More information

Cloud Management: Knowing is Half The Battle

Cloud Management: Knowing is Half The Battle Cloud Management: Knowing is Half The Battle Raouf BOUTABA David R. Cheriton School of Computer Science University of Waterloo Joint work with Qi Zhang, Faten Zhani (University of Waterloo) and Joseph

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

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

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

Green Cloud: Smart Resource Allocation and Optimization using Simulated Annealing Technique

Green Cloud: Smart Resource Allocation and Optimization using Simulated Annealing Technique Green Cloud: Smart Resource Allocation and Optimization using Simulated Annealing Technique AkshatDhingra M.Tech Research Scholar, Department of Computer Science and Engineering, Birla Institute of Technology,

More information

Load Balancing in cloud computing

Load Balancing in cloud computing Load Balancing in cloud computing 1 Foram F Kherani, 2 Prof.Jignesh Vania Department of computer engineering, Lok Jagruti Kendra Institute of Technology, India 1 kheraniforam@gmail.com, 2 jigumy@gmail.com

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

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

Setting deadlines and priorities to the tasks to improve energy efficiency in cloud computing

Setting deadlines and priorities to the tasks to improve energy efficiency in cloud computing Setting deadlines and priorities to the tasks to improve energy efficiency in cloud computing Problem description Cloud computing is a technology used more and more every day, requiring an important amount

More information

Environments, Services and Network Management for Green Clouds

Environments, Services and Network Management for Green Clouds Environments, Services and Network Management for Green Clouds Carlos Becker Westphall Networks and Management Laboratory Federal University of Santa Catarina MARCH 3RD, REUNION ISLAND IARIA GLOBENET 2012

More information

Newsletter 4/2013 Oktober 2013. www.soug.ch

Newsletter 4/2013 Oktober 2013. www.soug.ch SWISS ORACLE US ER GRO UP www.soug.ch Newsletter 4/2013 Oktober 2013 Oracle 12c Consolidation Planer Data Redaction & Transparent Sensitive Data Protection Oracle Forms Migration Oracle 12c IDENTITY table

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

Modeling on Energy Consumption of Cloud Computing Based on Data Center Yu Yang 1, a Jiang Wei 2, a Guan Wei 1, a Li Ping 1, a Zhou Yongmin 1, a

Modeling on Energy Consumption of Cloud Computing Based on Data Center Yu Yang 1, a Jiang Wei 2, a Guan Wei 1, a Li Ping 1, a Zhou Yongmin 1, a International Conference on Applied Science and Engineering Innovation (ASEI 2015) Modeling on Energy Consumption of Cloud Computing Based on Data Center Yu Yang 1, a Jiang Wei 2, a Guan Wei 1, a Li Ping

More information

The Mainframe Virtualization Advantage: How to Save Over Million Dollars Using an IBM System z as a Linux Cloud Server

The Mainframe Virtualization Advantage: How to Save Over Million Dollars Using an IBM System z as a Linux Cloud Server Research Report The Mainframe Virtualization Advantage: How to Save Over Million Dollars Using an IBM System z as a Linux Cloud Server Executive Summary Information technology (IT) executives should be

More information

ENERGY-EFFICIENT TASK SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS

ENERGY-EFFICIENT TASK SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS ENERGY-EFFICIENT TASK SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS T. Jenifer Nirubah 1, Rose Rani John 2 1 Post-Graduate Student, Department of Computer Science and Engineering, Karunya University, Tamil

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

Power Aware Live Migration for Data Centers in Cloud using Dynamic Threshold

Power Aware Live Migration for Data Centers in Cloud using Dynamic Threshold Richa Sinha et al, Int. J. Comp. Tech. Appl., Vol 2 (6), 2041-2046 Power Aware Live Migration for Data Centers in Cloud using Dynamic Richa Sinha, Information Technology L.D. College of Engineering, Ahmedabad,

More information

Future Generation Computer Systems. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

Future Generation Computer Systems. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing Future Generation Computer Systems 28 (2012) 755 768 Contents lists available at SciVerse ScienceDirect Future Generation Computer Systems journal homepage: www.elsevier.com/locate/fgcs Energy-aware resource

More information

Experimental Awareness of CO 2 in Federated Cloud Sourcing

Experimental Awareness of CO 2 in Federated Cloud Sourcing Experimental Awareness of CO 2 in Federated Cloud Sourcing Julia Wells, Atos Spain This project is partially funded by European Commission under the 7th Framework Programme - Grant agreement no. 318048

More information

A Survey of Energy Efficient Data Centres in a Cloud Computing Environment

A Survey of Energy Efficient Data Centres in a Cloud Computing Environment A Survey of Energy Efficient Data Centres in a Cloud Computing Environment Akshat Dhingra 1, Sanchita Paul 2 Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India

More information

IMCM: A Flexible Fine-Grained Adaptive Framework for Parallel Mobile Hybrid Cloud Applications

IMCM: A Flexible Fine-Grained Adaptive Framework for Parallel Mobile Hybrid Cloud Applications Open System Laboratory of University of Illinois at Urbana Champaign presents: Outline: IMCM: A Flexible Fine-Grained Adaptive Framework for Parallel Mobile Hybrid Cloud Applications A Fine-Grained Adaptive

More information

Steps to Migrating to a Private Cloud

Steps to Migrating to a Private Cloud Deploying and Managing Private Clouds The Essentials Series Steps to Migrating to a Private Cloud sponsored by Introduction to Realtime Publishers by Don Jones, Series Editor For several years now, Realtime

More information

Virtual Machine Placement in Cloud systems using Learning Automata

Virtual Machine Placement in Cloud systems using Learning Automata 2013 13th Iranian Conference on Fuzzy Systems (IFSC) Virtual Machine Placement in Cloud systems using Learning Automata N. Rasouli 1 Department of Electronic, Computer and Electrical Engineering, Qazvin

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

Qlik Sense scalability

Qlik Sense scalability Qlik Sense scalability Visual analytics platform Qlik Sense is a visual analytics platform powered by an associative, in-memory data indexing engine. Based on users selections, calculations are computed

More information

Energy Aware Resource Allocation in Cloud Datacenter

Energy Aware Resource Allocation in Cloud Datacenter International Journal of Engineering and Advanced Technology (IJEAT) Energy Aware Resource Allocation in Cloud Datacenter Manasa H.B, Anirban Basu Abstract- The greatest environmental challenge today is

More information

Optimal Service Pricing for a Cloud Cache

Optimal Service Pricing for a Cloud Cache Optimal Service Pricing for a Cloud Cache K.SRAVANTHI Department of Computer Science & Engineering (M.Tech.) Sindura College of Engineering and Technology Ramagundam,Telangana G.LAKSHMI Asst. Professor,

More information

An Approach to Load Balancing In Cloud Computing

An Approach to Load Balancing In Cloud Computing An Approach to Load Balancing In Cloud Computing Radha Ramani Malladi Visiting Faculty, Martins Academy, Bangalore, India ABSTRACT: Cloud computing is a structured model that defines computing services,

More information

Automatic Workload Management in Clusters Managed by CloudStack

Automatic Workload Management in Clusters Managed by CloudStack Automatic Workload Management in Clusters Managed by CloudStack Problem Statement In a cluster environment, we have a pool of server nodes with S running on them. Virtual Machines are launched in some

More information

An Energy-aware Multi-start Local Search Metaheuristic for Scheduling VMs within the OpenNebula Cloud Distribution

An Energy-aware Multi-start Local Search Metaheuristic for Scheduling VMs within the OpenNebula Cloud Distribution An Energy-aware Multi-start Local Search Metaheuristic for Scheduling VMs within the OpenNebula Cloud Distribution Y. Kessaci, N. Melab et E-G. Talbi Dolphin Project Team, Université Lille 1, LIFL-CNRS,

More information

Driving the Green Data Center Strategy in Established Environments

Driving the Green Data Center Strategy in Established Environments Driving the Green Data Center Strategy in Established Environments November 2008 Agenda Green IT defined Arrow Green Initiatives Data Center Other Initiatives Green Challenges Green IT Optimal use of information

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

IT@Intel. Comparing Multi-Core Processors for Server Virtualization

IT@Intel. Comparing Multi-Core Processors for Server Virtualization White Paper Intel Information Technology Computer Manufacturing Server Virtualization Comparing Multi-Core Processors for Server Virtualization Intel IT tested servers based on select Intel multi-core

More information

Copyright www.agileload.com 1

Copyright www.agileload.com 1 Copyright www.agileload.com 1 INTRODUCTION Performance testing is a complex activity where dozens of factors contribute to its success and effective usage of all those factors is necessary to get the accurate

More information

Load Balancing to Save Energy in Cloud Computing

Load Balancing to Save Energy in Cloud Computing presented at the Energy Efficient Systems Workshop at ICT4S, Stockholm, Aug. 2014 Load Balancing to Save Energy in Cloud Computing Theodore Pertsas University of Manchester United Kingdom tpertsas@gmail.com

More information

Analysis and Optimization Techniques for Sustainable Use of Electrical Energy in Green Cloud Computing

Analysis and Optimization Techniques for Sustainable Use of Electrical Energy in Green Cloud Computing Analysis and Optimization Techniques for Sustainable Use of Electrical Energy in Green Cloud Computing Dr. Vikash K. Singh, Devendra Singh Kushwaha Assistant Professor, Department of CSE, I.G.N.T.U, Amarkantak,

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

Towards Energy Efficient Query Processing in Database Management System

Towards Energy Efficient Query Processing in Database Management System Towards Energy Efficient Query Processing in Database Management System Report by: Ajaz Shaik, Ervina Cergani Abstract Rising concerns about the amount of energy consumed by the data centers, several computer

More information

IMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT

IMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT IMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT Muhammad Muhammad Bala 1, Miss Preety Kaushik 2, Mr Vivec Demri 3 1, 2, 3 Department of Engineering and Computer Science, Sharda

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

Hierarchical Approach for Green Workload Management in Distributed Data Centers

Hierarchical Approach for Green Workload Management in Distributed Data Centers Hierarchical Approach for Green Workload Management in Distributed Data Centers Agostino Forestiero, Carlo Mastroianni, Giuseppe Papuzzo, Mehdi Sheikhalishahi Institute for High Performance Computing and

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

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

Capacity Planning Fundamentals. Support Business Growth with a Better Approach to Scaling Your Data Center

Capacity Planning Fundamentals. Support Business Growth with a Better Approach to Scaling Your Data Center Capacity Planning Fundamentals Support Business Growth with a Better Approach to Scaling Your Data Center Executive Summary As organizations scale, planning for greater application workload demand is critical.

More information

Avoiding Performance Bottlenecks in Hyper-V

Avoiding Performance Bottlenecks in Hyper-V Avoiding Performance Bottlenecks in Hyper-V Identify and eliminate capacity related performance bottlenecks in Hyper-V while placing new VMs for optimal density and performance Whitepaper by Chris Chesley

More information

Siemens SAP Cloud - Infrastructure as a Service

Siemens SAP Cloud - Infrastructure as a Service Siemens SAP Cloud - Infrastructure as a Service Siemens Value Proposition April 2010 Agenda 1 Challenges with traditional infrastructure setup 2 Siemens SAP Cloud solution 3 Benefits of Siemens SAP Cloud

More information

Load Balancing In Cloud Computing

Load Balancing In Cloud Computing Load Balancing In Cloud Computing 1 Akash Jain, 2 Ms.Pinal Patel 1 IT System & Network Security 1 Gujarat Technological University, Ahmedabad, India Abstract: Cloud computing can be define as a structured

More information

DESIGN OF A PLATFORM OF VIRTUAL SERVICE CONTAINERS FOR SERVICE ORIENTED CLOUD COMPUTING. Carlos de Alfonso Andrés García Vicente Hernández

DESIGN OF A PLATFORM OF VIRTUAL SERVICE CONTAINERS FOR SERVICE ORIENTED CLOUD COMPUTING. Carlos de Alfonso Andrés García Vicente Hernández DESIGN OF A PLATFORM OF VIRTUAL SERVICE CONTAINERS FOR SERVICE ORIENTED CLOUD COMPUTING Carlos de Alfonso Andrés García Vicente Hernández 2 INDEX Introduction Our approach Platform design Storage Security

More information

Microsoft SQL Server 2014 Virtualization Licensing Guide

Microsoft SQL Server 2014 Virtualization Licensing Guide Microsoft SQL Server 2014 Virtualization Licensing Guide June 2014 Contents 1 Introduction 1 Quick Overview: Licensing SQL Server 2014 for Virtualization -Licensing Individual Virtual Machines -Licensing

More information

Managed Virtualized Platforms: From Multicore Nodes to Distributed Cloud Infrastructures

Managed Virtualized Platforms: From Multicore Nodes to Distributed Cloud Infrastructures Managed Virtualized Platforms: From Multicore Nodes to Distributed Cloud Infrastructures Ada Gavrilovska Karsten Schwan, Mukil Kesavan Sanjay Kumar, Ripal Nathuji, Adit Ranadive Center for Experimental

More information

Rackspace Cloud Databases and Container-based Virtualization

Rackspace Cloud Databases and Container-based Virtualization Rackspace Cloud Databases and Container-based Virtualization August 2012 J.R. Arredondo @jrarredondo Page 1 of 6 INTRODUCTION When Rackspace set out to build the Cloud Databases product, we asked many

More information

Efficient and Robust Allocation Algorithms in Clouds under Memory Constraints

Efficient and Robust Allocation Algorithms in Clouds under Memory Constraints Efficient and Robust Allocation Algorithms in Clouds under Memory Constraints Olivier Beaumont,, Paul Renaud-Goud Inria & University of Bordeaux Bordeaux, France 9th Scheduling for Large Scale Systems

More information

Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing

Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing Sla Aware Load Balancing Using Join-Idle Queue for Virtual Machines in Cloud Computing Mehak Choudhary M.Tech Student [CSE], Dept. of CSE, SKIET, Kurukshetra University, Haryana, India ABSTRACT: Cloud

More information

Microsoft Private Cloud Fast Track

Microsoft Private Cloud Fast Track Microsoft Private Cloud Fast Track Microsoft Private Cloud Fast Track is a reference architecture designed to help build private clouds by combining Microsoft software with Nutanix technology to decrease

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

An Oracle White Paper August 2011. Oracle VM 3: Server Pool Deployment Planning Considerations for Scalability and Availability

An Oracle White Paper August 2011. Oracle VM 3: Server Pool Deployment Planning Considerations for Scalability and Availability An Oracle White Paper August 2011 Oracle VM 3: Server Pool Deployment Planning Considerations for Scalability and Availability Note This whitepaper discusses a number of considerations to be made when

More information

Performance Testing of a Cloud Service

Performance Testing of a Cloud Service Performance Testing of a Cloud Service Trilesh Bhurtun, Junior Consultant, Capacitas Ltd Capacitas 2012 1 Introduction Objectives Environment Tests and Results Issues Summary Agenda Capacitas 2012 2 1

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

Intel Service Assurance Administrator. Product Overview

Intel Service Assurance Administrator. Product Overview Intel Service Assurance Administrator Product Overview Running Enterprise Workloads in the Cloud Enterprise IT wants to Start a private cloud initiative to service internal enterprise customers Find an

More information

Study of Various Load Balancing Techniques in Cloud Environment- A Review

Study of Various Load Balancing Techniques in Cloud Environment- A Review International Journal of Computer Sciences and Engineering Open Access Review Paper Volume-4, Issue-04 E-ISSN: 2347-2693 Study of Various Load Balancing Techniques in Cloud Environment- A Review Rajdeep

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

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

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

COST VS. ROI Is There Value to Virtualization and Cloud Computing?

COST VS. ROI Is There Value to Virtualization and Cloud Computing? Windstream WHITE PAPER COST VS. ROI Is There Value to Virtualization and Cloud Computing? Featured Author: Rob Carter Director of Windstream Hosted Solutions Product Marketing 2 COST VS. ROI IS THERE VALUE

More information

WORKFLOW ENGINE FOR CLOUDS

WORKFLOW ENGINE FOR CLOUDS WORKFLOW ENGINE FOR CLOUDS By SURAJ PANDEY, DILEBAN KARUNAMOORTHY, and RAJKUMAR BUYYA Prepared by: Dr. Faramarz Safi Islamic Azad University, Najafabad Branch, Esfahan, Iran. Workflow Engine for clouds

More information

QLIKVIEW SERVER MEMORY MANAGEMENT AND CPU UTILIZATION

QLIKVIEW SERVER MEMORY MANAGEMENT AND CPU UTILIZATION QLIKVIEW SERVER MEMORY MANAGEMENT AND CPU UTILIZATION QlikView Scalability Center Technical Brief Series September 2012 qlikview.com Introduction This technical brief provides a discussion at a fundamental

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

Endpoint Security: Become Aware of Virtual Desktop Infrastructures!

Endpoint Security: Become Aware of Virtual Desktop Infrastructures! Endpoint Security: Become Aware of Virtual Desktop Infrastructures! An Ogren Group Special Report May 2011 Executive Summary Virtual desktops infrastructures, VDI, present IT with the unique opportunity

More information

Managing Cloud Service Provisioning and SLA Enforcement via Holistic Monitoring Techniques Vincent C. Emeakaroha

Managing Cloud Service Provisioning and SLA Enforcement via Holistic Monitoring Techniques Vincent C. Emeakaroha Managing Cloud Service Provisioning and SLA Enforcement via Holistic Monitoring Techniques Vincent C. Emeakaroha Matrikelnr: 0027525 vincent@infosys.tuwien.ac.at Supervisor: Univ.-Prof. Dr. Schahram Dustdar

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

Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH

Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH CONTENTS Introduction... 4 System Components... 4 OpenNebula Cloud Management Toolkit... 4 VMware

More information

A Comparative Study of Load Balancing Algorithms in Cloud Computing

A Comparative Study of Load Balancing Algorithms in Cloud Computing A Comparative Study of Load Balancing Algorithms in Cloud Computing Reena Panwar M.Tech CSE Scholar Department of CSE, Galgotias College of Engineering and Technology, Greater Noida, India Bhawna Mallick,

More information

Profit-Maximizing Resource Allocation for Multi-tier Cloud Computing Systems under Service Level Agreements

Profit-Maximizing Resource Allocation for Multi-tier Cloud Computing Systems under Service Level Agreements Profit-Maximizing Resource Allocation for Multi-tier Cloud Computing Systems under Service Level Agreements Hadi Goudarzi and Massoud Pedram University of Southern California Department of Electrical Engineering

More information

Virtual Machine Instance Scheduling in IaaS Clouds

Virtual Machine Instance Scheduling in IaaS Clouds Virtual Machine Instance Scheduling in IaaS Clouds Naylor G. Bachiega, Henrique P. Martins, Roberta Spolon, Marcos A. Cavenaghi Departamento de Ciência da Computação UNESP - Univ Estadual Paulista Bauru,

More information

for Green Cloud Computing

for Green Cloud Computing A Vision on VM Consolidation for Green Cloud Computing Huaglory Tianfield PhD, Professor of Distributed Systems Glasgow Caledonian University, United Kingdom E-mail: h.tianfield@gcu.ac.uk Data center architectures

More information

Top 5 Reasons to choose Microsoft Windows Server 2008 R2 SP1 Hyper-V over VMware vsphere 5

Top 5 Reasons to choose Microsoft Windows Server 2008 R2 SP1 Hyper-V over VMware vsphere 5 Top 5 Reasons to choose Microsoft Windows Server 2008 R2 SP1 Hyper-V over VMware Published: April 2012 2012 Microsoft Corporation. All rights reserved. This document is provided "as-is." Information and

More information

Live Vertical Scaling

Live Vertical Scaling ProfitBRICKS IAAS Live Vertical Scaling Add more data center infrastructure resources on demand, without a reboot Reconfiguring during ongoing operation a world debut. Using ProfitBricks Live Vertical

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

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

Cloud Computing Architectures and Design Issues

Cloud Computing Architectures and Design Issues Cloud Computing Architectures and Design Issues Ozalp Babaoglu, Stefano Ferretti, Moreno Marzolla, Fabio Panzieri {babaoglu, sferrett, marzolla, panzieri}@cs.unibo.it Outline What is Cloud Computing? A

More information

Energy Efficient MapReduce

Energy Efficient MapReduce Energy Efficient MapReduce Motivation: Energy consumption is an important aspect of datacenters efficiency, the total power consumption in the united states has doubled from 2000 to 2005, representing

More information

Performance White Paper

Performance White Paper Sitecore Experience Platform 8.1 Performance White Paper Rev: March 11, 2016 Sitecore Experience Platform 8.1 Performance White Paper Sitecore Experience Platform 8.1 Table of contents Table of contents...

More information

Virtualization for Cloud Computing

Virtualization for Cloud Computing Virtualization for Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF CLOUD COMPUTING On demand provision of computational resources

More information

Host Power Management in VMware vsphere 5

Host Power Management in VMware vsphere 5 in VMware vsphere 5 Performance Study TECHNICAL WHITE PAPER Table of Contents Introduction.... 3 Power Management BIOS Settings.... 3 Host Power Management in ESXi 5.... 4 HPM Power Policy Options in ESXi

More information

Relational Databases in the Cloud

Relational Databases in the Cloud Contact Information: February 2011 zimory scale White Paper Relational Databases in the Cloud Target audience CIO/CTOs/Architects with medium to large IT installations looking to reduce IT costs by creating

More information

Cloud Federations in Contrail

Cloud Federations in Contrail Cloud Federations in Contrail Emanuele Carlini 1,3, Massimo Coppola 1, Patrizio Dazzi 1, Laura Ricci 1,2, GiacomoRighetti 1,2 " 1 - CNR - ISTI, Pisa, Italy" 2 - University of Pisa, C.S. Dept" 3 - IMT Lucca,

More information

Database Virtualization

Database Virtualization Database Virtualization David Fetter Senior MTS, VMware Inc PostgreSQL China 2011 Guangzhou Thanks! Jignesh Shah Staff Engineer, VMware Performance Expert Great Human Being Content Virtualization Virtualized

More information