Fabien Hermenier. 2bis rue Bon Secours Nantes.

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Fabien Hermenier. 2bis rue Bon Secours 44000 Nantes. hermenierfabien@gmail.com http://www.emn.fr/x-info/fhermeni/"

Transcription

1 Fabien Hermenier 2bis rue Bon Secours Nantes Activities Oct Sep : Post-doctoral researcher École des Mines de Nantes, ASCOLA Research group Sep Oct : Phd student University of Nantes, France - École des Mines de Nantes, ASCOLA Research Group Education : PhD. in Computer Science (manuscript in French) Defended in november, the 26 th 2009 University of Nantes, France École des Mines de Nantes LINA, UMR CNRS 6241 Title : Gestion dynamique des tâches dans les grappes, une approche à base de machines virtuelles (English title : Online Management of Jobs in Clusters using Virtual Machines) Advisors : Gilles Muller (Professor, INRIA Rocquencourt), Jean-Marc Menaud (Associate Professor, École des Mines de Nantes) Research Lab : ASCOLA group : Mres in Distributed Softwares Architectures (manuscript in French) University of Nantes, France OBASCO group LINA, UMR CNRS 6241 Title : Gestion dynamique des grilles informatiques, applications à l économie d énergie English title : Dynamic Management of Grids applied to power saving Advisors : Jean-Marc Menaud (Associate Professor, Ecole des Mines de Nantes) : Bachelor Degree in Mathematics and Computer Science : Systems and Networks University of South Britanny Vannes, France References Gilles Muller : Professor, Julia Lawall : Associate Professor, Jean-Marc Menaud : Associate Professor, Mario Südholt : Professor, Fabien Hermenier 1

2 Thesis topic Cluster computing is an attractive solution to meet the growing computational requirements of scientific applications. In this setting, a user organizes a job as a collection of tasks that each requires a finite amount of resources for a bounded amount of time. A scheduling algorithm is responsible of selecting the jobs to execute on the cluster by finding, for each task composing the jobs, a node with a sufficient amount of free resources. Static scheduling algorithms allocate each task to a node and a constant amount of resources for all the duration of the job. Such strategies lead to a waste of resources and a non-optimal schedule of the jobs as each task does not use all of the allocated resources at all times. On the opposite, dynamic scheduling algorithms manipulate in live the state of the jobs using preemption and the location of their tasks using process migration. These algorithms provide a finer use of resources by allocating them according to the current demand instead of the users estimate. In practice, dynamic scheduling strategies are hard to deploy on clusters. First, the actions that manipulate the tasks in live are tedious to implement in a non-intrusive way. Second, their executions are time and resource consuming and misusing them lead to a high computational overhead. Finally, each cluster has its own architecture and some specific objectives or constraints that may not fit with the available scheduling strategies. In this thesis, we investigate to ease the development and the use of dynamic scheduling strategies. First we propose to use virtual machines (VMs) to execute the jobs in their legacy environment. In addition, virtualization brings the necessary actions to manipulate VMs as dynamic scheduling strategies manipulate tasks : live migration allows to relocate a VM that embeds a task with a negligible downtime, while the suspend-to-disk and the resume actions provide jobs preemption. To ease the development of specific dynamic scheduling strategies, we propose to use constraint programming (CP), a flexible approach to model and solve combinatorial problems. With this approach, the developer only focuses on modelling its problem by stating the constraints (logical relations) that must be satisfied by the solutions. Hence, we have developed a constraint programming model for a core dynamic scheduling problem as well as additional composable constraints to specify the strategy by restricting the state or the location of VMs. Finally, we introduce the concept of dynamic reconfiguration, a generic method to perform the transition between the current schedule of the VMs and the new computed one. Relying on a model that estimates the duration and the impact on performance of each action, our module, also based on CP plans the actions to ensure their feasibility and to minimize the total duration of their execution. We have validated our approach with the implementation of a prototype named Entropy 1 which was used to implement two use cases. The first provides dynamic consolidation by packing all the running VMs on the minimum number of nodes while satisfying their CPU and memory resources needs. This strategy reduces the energy consumption of the clusters when unused nodes are turned off. Our second use case reduces the complexity of developing dynamic scheduling strategy. Using the dynamic reconfiguration, the developer only provides an algorithm to select the jobs to run while the reconfiguration module finds a host for each selected VM and provides an efficient transition to reach the new schedule. We have evaluated Entropy through several experiments using both simulations with up to 200 nodes and 400 VMs and clusters with up to 35 nodes and 70 VMs. We have observed that our approach for dynamic reconfiguration reduces by up to 70% the duration of a reconfiguration as compared to the heuristic First Fit Decrease (FFD). This has led to a reactive system that quickly fixes non-optimal schedules and provides an efficient use of resources for each strategy we have developed. For dynamic consolidation, we have compared our implementation with the common heuristic FFD. Our solution performs twice as much reconfigurations and uses half as much resources to execute the same workload. For our second strategy, we have developed a sample scheduling algorithm, similar to First Come, First Serve but which executes a workload of 11 jobs 40% faster Fabien Hermenier 2

3 Research Topics Virtual Machines ; Hypervisors ; Grid and Cloud computing ; Autonomic Computing ; Systems and Networks ; Green Computing Current works Hosting VMs with placement constraints Virtualized datacenters provide efficient platforms to host a large variety of applications. When an application administrator want to execute an application, it submits its description to a resource manager that computes a place for each VM composing the application. The placement of the VMs must then satisfy the requirements expressed by the application administrator. Modern applications, such as n- tier Web applications have however specific placement constraints. As an example, replicas of a fault tolerance service have to be placed on distinct nodes to be effective. Aside, datacenter administrators also have placement constraints. As an example, they may have to isolate nodes for maintenance or isolate applications on specific part of the datacenter for administrative purposes. These placement constraints have to be considered by the resources manager when it manipulate the VMs. I m currently looking at a flexible resource manager, based on constraint programming, that can be easily customized to consider various placement constraints. it consists of a constraint based domain specific language to express the placement constraints and a core placement algorithm that can be dynamically specialized. This work was initially motivated by the necessity of providing a consolidation manager that consider the scalability and the fault tolerance requirements of highly available Web applications. Prototype During my thesis, I develop the prototype Entropy, an autonomous VMs manager for clusters. It is freely available since (license LGPL). I m still maintaining the software, train the other contributors and implement into it the results of our research works. The Self-XL project 3, started in 2009, includes a part of my Phd and current work. This project is funded by the National Research Agency and is focused on both a software architecture and several Domain Specific Language to ease the autonomous adaptation of virtualized datacenters. One of the work package consists in the use of Entropy to place VMs in order to improve the thermal efficiency of the datacenter. During the preparation of the proposal, I was involved in the redaction process. For the development of Entropy, I received with Jean-Marc Menaud the first award «Prix de la croissance verte numerique» the 4 th december 2009 in Paris. The proposition was to reduce the energy footprint of a datacenter. First, by acting on the direct energy consumption of the servers using dynamic consolidation. Second using a thermal management policy to reduce the use of the cooling systems. Details about the award, our proposition and interview (in French) are available online 4. Currently, Entropy is used in several companies such as Bull, Orange Labs, and the french tax agency. For this purpose I realize a part of the maintenance. These collaborations leads to the development of various plugins for Entropy to make it support various virtualized infrastructure, and several uses cases for placement constraints that are the foundation of my research topics Fabien Hermenier 3

4 Major publications [1] Fabien Hermenier, Xavier Lorca, Jean-Marc Menaud, Gilles Muller, and Julia Lawall. Entropy : a consolidation manager for clusters. In VEE 09 : Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments, pages 41 50, New York, NY, USA, ACM. [2] Fabien Hermenier, Adrien Lèbre, and Jean-Marc Menaud. Cluster-Wide Context Switch of Virtualized Jobs. In The 4th International Workshop on Virtualization Technologies in Distributed Computing, Chicago, USA. June ACM. [3] Fabien Hermenier, Nicolas Loriant, and Jean-Marc Menaud. Power management in grid computing with xen. In Proceedings of 2006 on XEN in HPC Cluster and Grid Computing Environments (XHPC06), number 4331 in LNCS, pages , Sorento, Italy, Springer Verlag. All publications International conference with program committee [1] Nicolas Beldiceanu, Fabien Hermenier, Xavier Lorca, and Thierry Petit. The Increasing Nvalue Constraint. to appear in CPAIOR 10 : Proceedings of the 2010 International Conference on Integration of AI and OR Techniques in Constraint Programming, Bologne, Italy, [2] Fabien Hermenier, Xavier Lorca, Jean-Marc Menaud, Gilles Muller, and Julia Lawall. Entropy : a consolidation manager for clusters. In VEE 09 : Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments, pages 41 50, New York, NY, USA, ACM. [3] Luis Daniel Benavides Navarro, Rémi Douence, Fabien Hermenier, Jean-Marc Menaud, and Mario Südholt. Aspect-based Patterns for Grid Programming. In SPAC-PAD 08 : Proceedings of the 20th International Symposium on Computer Architecture and High Performance Computing, pages , Washington, DC, USA, IEEE Computer Society National conference with program committee [1] Fabien Hermenier, Adrien Lèbre, and Jean-Marc Menaud. Changement de Contexte pour Tâches Virtualisées dans les Grappes. In Proc. of 7ème Conférence Francophone sur les Systèmes d Exploitation (CFSE07), Toulouse, France, sep [2] Fabien Hermenier, Xavier Lorca, Hadrien Cambazard, Jean-Marc Menaud, and Narendra Jussien. Reconfiguration automatique du placement dans les grilles de calculs dirigée par des objectifs. In Proc. of 6ème Conférence Francophone sur les Systèmes d Exploitation (CFSE06), Fribourg, Swiss, fev International workshop with program committee Thesis [1] Fabien Hermenier, Adrien Lèbre, and Jean-Marc Menaud. Cluster-Wide Context Switch of Virtualized Jobs. In The 4th International Workshop on Virtualization Technologies in Distributed Computing, Chicago, USA. June ACM. [2] Fabien Hermenier, Nicolas Loriant, and Jean-Marc Menaud. Power management in grid computing with xen. In Proceedings of 2006 on XEN in HPC Cluster and Grid Computing Environments (XHPC06), number 4331 in LNCS, pages , Sorento, Italy, Springer Verlag. [1] Fabien Hermenier. Gestion dynamique des tâches dans les grappes, une approche à base de machines virtuelles. Phd Thesis, University of Nantes, defended in november 2009 Fabien Hermenier 4

5 [2] Fabien Hermenier. Gestion dynamique des grilles informatiques, application à la gestion d énergie. Master thesis, University of Nantes, 2006 Research reports Poster [1] Fabien Hermenier, Adrien Lèbre, and Jean-Marc Menaud. Cluster-Wide Context Switch of Virtualized Jobs. Research Report RR-6929, INRIA, 2009 Preliminary version of [1] [2] Fabien Hermenier, Xavier Lorca, Jean-Marc Menaud, Gilles Muller, et Julia Lawall. Entropy : a Consolidation Manager for Clusters. Research Report RR-6939, INRIA, 2008 Preliminary version of [2] [1] Fabien Hermenier, Xavier Lorca, Jean-Marc Menaud, Gilles Muller, and Julia Lawall. Entropy : a consolidation manager for clusters. In USENIX Symposium on Operating Systems Design and Implementation (OSDI) - Poster Session, San Diego, December Fabien Hermenier 5

Ecole des Mines de Nantes. Journée Thématique Emergente "aspects énergétiques du calcul"

Ecole des Mines de Nantes. Journée Thématique Emergente aspects énergétiques du calcul Ecole des Mines de Nantes Entropy Journée Thématique Emergente "aspects énergétiques du calcul" Fabien Hermenier, Adrien Lèbre, Jean Marc Menaud menaud@mines-nantes.fr Outline Motivation Entropy project

More information

Self-organization of applications and systems to optimize resources usage in virtualized data centers

Self-organization of applications and systems to optimize resources usage in virtualized data centers Ecole des Mines de Nantes Self-organization of applications and systems to optimize resources usage in virtualized data centers Teratec 06/28 2012 Jean- Marc Menaud Ascola team EMNantes-INRIA, LINA Motivations

More information

Large Scale Management of Virtual Machines Cooperative and Reactive Scheduling in Large-Scale Virtualized Platforms

Large Scale Management of Virtual Machines Cooperative and Reactive Scheduling in Large-Scale Virtualized Platforms Large Scale Management of Virtual Machines Cooperative and Reactive Scheduling in Large-Scale Virtualized Platforms Adrien Lèbre EPI ASCOLA / HEMERA Flavien Quesnel, Phd Candidate February 2013 System

More information

Flauncher and DVMS Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically

Flauncher and DVMS Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically Flauncher and Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically Daniel Balouek, Adrien Lèbre, Flavien Quesnel To cite this version: Daniel Balouek,

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

Seed4C: A Cloud Security Infrastructure validated on Grid 5000

Seed4C: A Cloud Security Infrastructure validated on Grid 5000 Seed4C: A Cloud Security Infrastructure validated on Grid 5000 E. Caron 1, A. Lefray 1, B. Marquet 2, and J. Rouzaud-Cornabas 1 1 Université de Lyon. LIP Laboratory. UMR CNRS - ENS Lyon - INRIA - UCBL

More information

Beyond the cloud! a small overview of cloud challenges. Credits: NASA

Beyond the cloud! a small overview of cloud challenges. Credits: NASA Beyond the cloud a small overview of cloud challenges Credits: NASA Adrien Lebre / Ascola Project Team Cumulo NumBio - June 3rd, 2015 Looking back xxx Computing Meta / Cluster / Grid / Desktop / Hive /

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

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

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

EPOC : Energy Proportional and Opportunistic Computing system

EPOC : Energy Proportional and Opportunistic Computing system EPOC : Energy Proportional and Opportunistic Computing system Labex CominLabs ASCOLA Mines Nantes, INRIA, LINA MYRIADS IRISA, INRIA OPTICS Telecom Bretagne NET Lab-STICC/MOM ENIB AELOS/STR LINA, IRCCyN

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

IaaS-Clouds in the MaDgIK Sky

IaaS-Clouds in the MaDgIK Sky IaaS-Clouds in the MaDgIK Sky Konstantinos Tsakalozos PhD candidate Advisor: Alex Delis Research Topics 1.Nefeli: Hint based deployment of virtual infrastructures 2.How profit maximization drives resource

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

VM Management for Green Data Centres with the OpenNebula Virtual Infrastructure Engine

VM Management for Green Data Centres with the OpenNebula Virtual Infrastructure Engine OGF-EU: Using IT to reduce Carbon Emissions and Delivering the Potential of Energy Efficient Computing OGF25, Catania, Italy 5 March 2009 VM Management for Green Data Centres with the OpenNebula Virtual

More information

Energy Conscious Virtual Machine Migration by Job Shop Scheduling Algorithm

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

More information

SLA-aware virtual resource management for cloud infrastructures

SLA-aware virtual resource management for cloud infrastructures SLA-aware virtual resource management for cloud infrastructures Hien Nguyen Van, Frederic Dang Tran, Jean-Marc Menaud To cite this version: Hien Nguyen Van, Frederic Dang Tran, Jean-Marc Menaud. SLA-aware

More information

Domain 1: Self-sizing and green PaaS

Domain 1: Self-sizing and green PaaS Domain 1: Self-sizing and green PaaS Goal: improve the platform efficiency Performance Energy cost Challenges Cluster growth/shrink capabilities according to workload Data center multi-tenancy with limited

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

Elastic VM for Rapid and Optimum Virtualized

Elastic VM for Rapid and Optimum Virtualized Elastic VM for Rapid and Optimum Virtualized Resources Allocation Wesam Dawoud PhD. Student Hasso Plattner Institute Potsdam, Germany 5th International DMTF Academic Alliance Workshop on Systems and Virtualization

More information

Effective Virtual Machine Scheduling in Cloud Computing

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

More information

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

Virtual Machine Management with OpenNebula in the RESERVOIR project

Virtual Machine Management with OpenNebula in the RESERVOIR project CISCO Cloud Computing Research Symposium (C 3 RS) November 5 & 6, 2008 San Jose, CA Virtual Machine Management with OpenNebula in the RESERVOIR project Ruben Santiago Montero Distributed Systems Architecture

More information

Cloud and Virtualization to Support Grid Infrastructures

Cloud and Virtualization to Support Grid Infrastructures ESAC GRID Workshop '08 ESAC, Villafranca del Castillo, Spain 11-12 December 2008 Cloud and Virtualization to Support Grid Infrastructures Distributed Systems Architecture Research Group Universidad Complutense

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

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

GUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR

GUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR GUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR ANKIT KUMAR, SAVITA SHIWANI 1 M. Tech Scholar, Software Engineering, Suresh Gyan Vihar University, Rajasthan, India, Email:

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 White Paper Published: August 09 This is a preliminary document and may be changed substantially prior to final commercial release of the software described

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

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

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

Windows Server 2003 Migration Guide: Nutanix Webscale Converged Infrastructure Eases Migration

Windows Server 2003 Migration Guide: Nutanix Webscale Converged Infrastructure Eases Migration Windows Server 2003 Migration Guide: Nutanix Webscale Converged Infrastructure Eases Migration Windows Server 2003 end-of-support means planning must start now James E. Bagley Senior Analyst Deni Connor

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

Enhancing the Performance of Live Migration of Virtual Machine s with WSClock Replacement Algorithm

Enhancing the Performance of Live Migration of Virtual Machine s with WSClock Replacement Algorithm Enhancing the Performance of Live Migration of Virtual Machine s with WSClock Replacement Algorithm C.Sagana M.Geetha Dr R.C.Suganthe PG student, Assistant Professor, Professor, Dept of CSE, Dept of CSE

More information

An Introduction to Virtualization and Cloud Technologies to Support Grid Computing

An Introduction to Virtualization and Cloud Technologies to Support Grid Computing New Paradigms: Clouds, Virtualization and Co. EGEE08, Istanbul, September 25, 2008 An Introduction to Virtualization and Cloud Technologies to Support Grid Computing Distributed Systems Architecture Research

More information

Héméra Inria Project Lab July 2010 June 2014

Héméra Inria Project Lab July 2010 June 2014 Héméra Inria Project Lab July 2010 June 2014 Final Evaluation Paris, December 17 th 2014 Christian Perez AVALON INRIA, France Agenda 10:00-10:10. Bienvenue et tour de table 10:10-10:35. Présentation et

More information

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

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

More information

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

Power Aware Load Balancing for Cloud Computing

Power Aware Load Balancing for Cloud Computing , October 19-21, 211, San Francisco, USA Power Aware Load Balancing for Cloud Computing Jeffrey M. Galloway, Karl L. Smith, Susan S. Vrbsky Abstract With the increased use of local cloud computing architectures,

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

Emerging Technology for the Next Decade

Emerging Technology for the Next Decade Emerging Technology for the Next Decade Cloud Computing Keynote Presented by Charles Liang, President & CEO Super Micro Computer, Inc. What is Cloud Computing? Cloud computing is Internet-based computing,

More information

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

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

More information

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

Het is een kleine stap naar een hybrid cloud

Het is een kleine stap naar een hybrid cloud Het is een kleine stap naar een hybrid cloud Isabel Moll-Kranenburg Microsoft 14 jaar IT industrie 4 jaar Microsoft Cloud Private Private Cloud Meeting customers where they are The Microsoft Cloud Computing

More information

Faster and Efficient VM Migrations for Improving SLA and ROI in Cloud Infrastructures

Faster and Efficient VM Migrations for Improving SLA and ROI in Cloud Infrastructures 1 Faster and Efficient VM Migrations for Improving SLA and ROI in Cloud Infrastructures Sujal Das, Michael Kagan, and Diego Crupnicoff (diego@mellanox.com) Abstract Cloud platforms and infrastructures

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

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

Load Balancing for Improved Quality of Service in the Cloud

Load Balancing for Improved Quality of Service in the Cloud Load Balancing for Improved Quality of Service in the Cloud AMAL ZAOUCH Mathématique informatique et traitement de l information Faculté des Sciences Ben M SIK CASABLANCA, MORROCO FAOUZIA BENABBOU Mathématique

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

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

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

More information

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

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

Energy-aware server provisioning

Energy-aware server provisioning Energy-aware server provisioning Daniel Balouek-Thomert 12 Under the supervision of Eddy Caron, Gilles Cieza and Laurent Lefèvre 1 Avalon Team LIP, ENS Lyon 2 NewGeneration SR GreenDays Toulouse, France

More information

Elastic Management of Cluster based Services in the Cloud

Elastic Management of Cluster based Services in the Cloud First Workshop on Automated Control for Datacenters and Clouds (ACDC09) June 19th, Barcelona, Spain Elastic Management of Cluster based Services in the Cloud Rafael Moreno Vozmediano, Ruben S. Montero,

More information

Virtualization Technologies (ENCS 691K Chapter 3)

Virtualization Technologies (ENCS 691K Chapter 3) Virtualization Technologies (ENCS 691K Chapter 3) Roch Glitho, PhD Associate Professor and Canada Research Chair My URL - http://users.encs.concordia.ca/~glitho/ The Key Technologies on Which Cloud Computing

More information

Affinity Aware VM Colocation Mechanism for Cloud

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

More information

Expansion of Data Center s Energetic Degrees of Freedom to Employ Green Energy Sources

Expansion of Data Center s Energetic Degrees of Freedom to Employ Green Energy Sources Proceedings of the 28th EnviroInfo 2014 Conference, Oldenburg, Germany September 10-12, 2014 Expansion of Data Center s Energetic Degrees of Freedom to Employ Green Energy Sources Stefan Janacek 1, Wolfgang

More information

Virtualization of the MS Exchange Server Environment

Virtualization of the MS Exchange Server Environment MS Exchange Server Acceleration Maximizing Users in a Virtualized Environment with Flash-Powered Consolidation Allon Cohen, PhD OCZ Technology Group Introduction Microsoft (MS) Exchange Server is one of

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

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

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

Efficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration

Efficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration Efficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration 1 Harish H G, 2 Dr. R Girisha 1 PG Student, 2 Professor, Department of CSE, PESCE Mandya (An Autonomous Institution under

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

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

Enabling Large-Scale Testing of IaaS Cloud Platforms on the Grid 5000 Testbed

Enabling Large-Scale Testing of IaaS Cloud Platforms on the Grid 5000 Testbed Enabling Large-Scale Testing of IaaS Cloud Platforms on the Grid 5000 Testbed Sébastien Badia, Alexandra Carpen-Amarie, Adrien Lèbre, Lucas Nussbaum Grid 5000 S. Badia, A. Carpen-Amarie, A. Lèbre, L. Nussbaum

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

Building Application Profiles to Allow a Better Usage of the Renewable Energies in Data Centres

Building Application Profiles to Allow a Better Usage of the Renewable Energies in Data Centres Building Application Profiles to Allow a Better Usage of the Renewable Energies in Data Centres Corentin Dupont University of Trento Via Sommarive, 5 38123 Trento, Italy Abstract. Data centres are powerful

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

A Distributed Approach to Dynamic VM Management

A Distributed Approach to Dynamic VM Management A Distributed Approach to Dynamic VM Management Michael Tighe, Gastón Keller, Michael Bauer and Hanan Lutfiyya Department of Computer Science The University of Western Ontario London, Canada {mtighe2 gkeller2

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

JOB ORIENTED VMWARE TRAINING INSTITUTE IN CHENNAI

JOB ORIENTED VMWARE TRAINING INSTITUTE IN CHENNAI JOB ORIENTED VMWARE TRAINING INSTITUTE IN CHENNAI Job oriented VMWARE training is offered by Peridot Systems in Chennai. Training in our institute gives you strong foundation on cloud computing by incrementing

More information

Service allocation in Cloud Environment: A Migration Approach

Service allocation in Cloud Environment: A Migration Approach Service allocation in Cloud Environment: A Migration Approach Pardeep Vashist 1, Arti Dhounchak 2 M.Tech Pursuing, Assistant Professor R.N.C.E.T. Panipat, B.I.T. Sonepat, Sonipat, Pin no.131001 1 pardeepvashist99@gmail.com,

More information

CHAPTER 7 SUMMARY AND CONCLUSION

CHAPTER 7 SUMMARY AND CONCLUSION 179 CHAPTER 7 SUMMARY AND CONCLUSION This chapter summarizes our research achievements and conclude this thesis with discussions and interesting avenues for future exploration. The thesis describes a novel

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

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

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

OPTIMIZING SERVER VIRTUALIZATION

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

More information

OpenNebula An Innovative Open Source Toolkit for Building Cloud Solutions

OpenNebula An Innovative Open Source Toolkit for Building Cloud Solutions Cloud Computing and its Applications 20th October 2009 OpenNebula An Innovative Open Source Toolkit for Building Cloud Solutions Distributed Systems Architecture Research Group Universidad Complutense

More information

Final Project Proposal. CSCI.6500 Distributed Computing over the Internet

Final Project Proposal. CSCI.6500 Distributed Computing over the Internet Final Project Proposal CSCI.6500 Distributed Computing over the Internet Qingling Wang 660795696 1. Purpose Implement an application layer on Hybrid Grid Cloud Infrastructure to automatically or at least

More information

Utilizing Round Robin Concept for Load Balancing Algorithm at Virtual Machine Level in Cloud Environment

Utilizing Round Robin Concept for Load Balancing Algorithm at Virtual Machine Level in Cloud Environment Utilizing Round Robin Concept for Load Balancing Algorithm at Virtual Machine Level in Cloud Environment Stuti Dave B H Gardi College of Engineering & Technology Rajkot Gujarat - India Prashant Maheta

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 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

Virtualization benefits in High Performance Computing Applications

Virtualization benefits in High Performance Computing Applications Journal of Computer Science and Information Technology June 2014, Vol. 2, No. 2, pp. 101-109 ISSN: 2334-2366 (Print), 2334-2374 (Online) Copyright The Author(s). 2014. All Rights Reserved. Published by

More information

Virtual Machines and Security Paola Stone Martinez East Carolina University November, 2013.

Virtual Machines and Security Paola Stone Martinez East Carolina University November, 2013. Virtual Machines and Security Paola Stone Martinez East Carolina University November, 2013. Keywords: virtualization, virtual machine, security. 1. Virtualization The rapid growth of technologies, nowadays,

More information

A Migration of Virtual Machine to Remote System

A Migration of Virtual Machine to Remote System ISSN (Online) : 2319-8753 ISSN (Print) : 2347-6710 International Journal of Innovative Research in Science, Engineering and Technology Volume 3, Special Issue 3, March 2014 2014 International Conference

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

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

An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform

An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform A B M Moniruzzaman 1, Kawser Wazed Nafi 2, Prof. Syed Akhter Hossain 1 and Prof. M. M. A. Hashem 1 Department

More information

USING VIRTUAL MACHINE REPLICATION FOR DYNAMIC CONFIGURATION OF MULTI-TIER INTERNET SERVICES

USING VIRTUAL MACHINE REPLICATION FOR DYNAMIC CONFIGURATION OF MULTI-TIER INTERNET SERVICES USING VIRTUAL MACHINE REPLICATION FOR DYNAMIC CONFIGURATION OF MULTI-TIER INTERNET SERVICES Carlos Oliveira, Vinicius Petrucci, Orlando Loques Universidade Federal Fluminense Niterói, Brazil ABSTRACT In

More information

Towards Unobtrusive VM Live Migration for Cloud Computing Platforms

Towards Unobtrusive VM Live Migration for Cloud Computing Platforms Towards Unobtrusive VM Live Migration for Cloud Computing Platforms Akane Koto 1, Hiroshi Yamada 1, Kei Ohmura 2, and Kenji Kono 1 1 Keio University, 2 NTT Software Innovation Center {koto, yamada}@sslab.ics.keio.ac.jp,

More information

8th WSEAS International Conference on SYSTEMS THEORY and SCIENTIFIC COMPUTATION (ISTASC 08) Rhodes, Greece, August 20-22, 2008

8th WSEAS International Conference on SYSTEMS THEORY and SCIENTIFIC COMPUTATION (ISTASC 08) Rhodes, Greece, August 20-22, 2008 Comparison of OS Level and Hypervisor Server Virtualization ABBAS ASOSHEH, MOHAMMAD HOSSEIN DANESH Information Technology Department Tarbiat Modares University & Amirkabir University of Technology Jalal

More information

High-Availability Fault Tolerant Computing for Remote and Branch Offices HA/FT solutions for Cisco UCS E-Series servers and VMware vsphere

High-Availability Fault Tolerant Computing for Remote and Branch Offices HA/FT solutions for Cisco UCS E-Series servers and VMware vsphere Table of Contents UCS E-Series Availability and Fault Tolerance... 3 Solid hardware... 3 Consistent management... 3 VMware vsphere HA and FT... 3 Storage High Availability and Fault Tolerance... 4 Quick-start

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

Introduction to Cloud Computing - 02

Introduction to Cloud Computing - 02 Introduction to Cloud Computing - 02 Iván Carrera Institute of Informatics - UFRGS September 2013 Outline Platform as a Service Characteristics PaaS Architecture - Problem* PaaS NIST Recommendations PaaS

More information

IOS110. Virtualization 5/27/2014 1

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

More information

Profit Maximization for Service Providers using Hybrid Pricing in Cloud Computing

Profit Maximization for Service Providers using Hybrid Pricing in Cloud Computing Profit Maximization for Service Providers using Hybrid in Cloud Computing N.Ani Brown Mary Anna University Tirunelveli, India Abstract: Cloud computing has recently emerged as one of the buzzwords in the

More information

CQNCR: Optimal VM Migration Planning in Cloud Data Centers

CQNCR: Optimal VM Migration Planning in Cloud Data Centers CQNCR: Optimal VM Migration Planning in Cloud Data Centers Md. Faizul Bari, Mohamed Faten Zhani, Qi Zhang, Reaz Ahmed, and Raouf Boutaba David R. Cheriton School of Computer Science University of Waterloo,

More information

Energy-Efficient Task Allocation in Wireless Sensor Networks using virtualization technology

Energy-Efficient Task Allocation in Wireless Sensor Networks using virtualization technology Energy-Efficient Task Allocation in Wireless Sensor Networks using virtualization technology Abstract: In s recent s years, s sensor s networks s are s widely s being s deployed s for s substantial s periods

More information

Enhancing the Scalability of Virtual Machines in Cloud

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

More information

Dell Virtualization Solution for Microsoft SQL Server 2012 using PowerEdge R820

Dell Virtualization Solution for Microsoft SQL Server 2012 using PowerEdge R820 Dell Virtualization Solution for Microsoft SQL Server 2012 using PowerEdge R820 This white paper discusses the SQL server workload consolidation capabilities of Dell PowerEdge R820 using Virtualization.

More information