HPC performance applications on Virtual Clusters
|
|
- Austin Cox
- 8 years ago
- Views:
Transcription
1 Panagiotis Kritikakos EPCC, School of Physics & Astronomy, University of Edinburgh, Scotland - UK pkritika@epcc.ed.ac.uk 4 th IC-SCCE, Athens 7 th July 2010
2 This work investigates the performance of (Java) multi-threaded applications that execute on multi-core virtual machines that can perform as virtual clusters. Our investigation and comparison is carried across individual physical and virtual machines nodes with identical hardware configuration. The work presents an evaluation of various virtualisation configuration capabilities that we applied during the experimental process. The project was supported by EPCC at The University of Edinburgh and was carried out as an Honours (final year) Project in the undergraduate degree of BEng Internet Computing of the Edinburgh Napier University.
3 Until recently... Slowly increasing computational power Expensive multi-core systems Performance penalty of virtualisation HPC applications on large scale Grid computing...from today to the future... Emerging computational power Multi-core systems as a standard Virtualisation support by default HPC applications on various scales Cloud computing
4 Technical specifications 16 CPUs 16GB RAM SCSI storage Xen Hypervisor Scientific Linux Java Grande Benchmarking Suite Multi-threading disk I/O and networking benchmarks Virtual Clusters setup 4 x VMs (4 cores, 3.5GB RAM) 2 x VMs (8 cores, 7.5GB RAM) 4 x VMs (16 cores, 3.8GB RAM) Experiments and statistics 10 execution loops starting from 10 threads and finishing with 100 threads Comparing results against physical system with Linux SMP kernel Used of the α > 0.95 significance level with Student's t-test
5 Software specifications Java Grande Benchmarking Suite - Thread synchronisation RayTracer Moldyn Multi-threaded disk I/O Multi-threaded TCP I/O Multi-threaded UDP I/O Operating System VM Benchmark Linux VM Benchmark Linux Virtual Machine Monitor Scientific Linux 5 x86_64 Virtualisation platform Xen Hypervisor Xen Hypervisor Physical hardware (CPU, Memory, Storage, Network)
6 Thread syncronisation (computationally intensive) Syncs performance on range of cores Significant difference in favour of the virtual machines P-value = 1.55 (10 threads)
7 Thread syncronisation (computationally intensive) Syncs performance on shared cores No statistical significant difference
8 Series (computationally intensive) No statistical significant difference
9 Sparse (memory intensive) No statistical significant difference up to 40 threads. From 50 -> 100, P-values = 1.71, 9.24, 6.82, 8.29, 4.44
10 RayTracer (memory and computationally intensive) Statistical significant difference in favour of the physical machine P-value = 1.46 (10 threads)
11 Moldyn (computationally intensive) Statistical significant difference only at 100 threads P-value = 2.61
12 Disk I/O Statistical significant difference in favour of the virtual machine P-value = 8.46 (100 threads)
13 Disk I/O Statistical significant difference in favour of the physical machine P-value = 9.87 (30 threads)
14 TCP I/O Statistical significant difference in favour of the physical machine P-value = 7.90 (10 threads)
15 UDP I/O No statistical significant difference
16 Some conclusions... Range of CPUs performance = Dedicated CPUs performance Rage of/dedicated CPUs performance > Shared CPUs performance Improved memory algorithms Memory chunks size play major role on performance Well performing disk I/O scheduling algorithm = Fast writes Poor I/O buffer rings = Slow reads Network handshaking and integrity checking overhead (TCP) Improved performance on connection-less network protocols (UDP)
17 Why using virtualisation? Reliability / Availability / Fault tolerance Portability Productivity / Development Management and some more Security Economical Greener The wide virtualisation support in modern commodity hardware shows great promise for virtualisation to become one of the default ICT infrastructure technologies of the future.
18 ?Thank you Presentation
Cloud Computing through Virtualization and HPC technologies
Cloud Computing through Virtualization and HPC technologies William Lu, Ph.D. 1 Agenda Cloud Computing & HPC A Case of HPC Implementation Application Performance in VM Summary 2 Cloud Computing & HPC HPC
More informationEnabling Technologies for Distributed Computing
Enabling Technologies for Distributed Computing Dr. Sanjay P. Ahuja, Ph.D. Fidelity National Financial Distinguished Professor of CIS School of Computing, UNF Multi-core CPUs and Multithreading Technologies
More informationPES. Batch virtualization and Cloud computing. Part 1: Batch virtualization. Batch virtualization and Cloud computing
Batch virtualization and Cloud computing Batch virtualization and Cloud computing Part 1: Batch virtualization Tony Cass, Sebastien Goasguen, Belmiro Moreira, Ewan Roche, Ulrich Schwickerath, Romain Wartel
More informationVirtualization Technologies and Blackboard: The Future of Blackboard Software on Multi-Core Technologies
Virtualization Technologies and Blackboard: The Future of Blackboard Software on Multi-Core Technologies Kurt Klemperer, Principal System Performance Engineer kklemperer@blackboard.com Agenda Session Length:
More informationEnabling Technologies for Distributed and Cloud Computing
Enabling Technologies for Distributed and Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Multi-core CPUs and Multithreading
More informationVirtualization. Types of Interfaces
Virtualization Virtualization: extend or replace an existing interface to mimic the behavior of another system. Introduced in 1970s: run legacy software on newer mainframe hardware Handle platform diversity
More informationContainer-based operating system virtualization: a scalable, high-performance alternative to hypervisors
Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors Soltesz, et al (Princeton/Linux-VServer), Eurosys07 Context: Operating System Structure/Organization
More informationCloud Operating Systems for Servers
Cloud Operating Systems for Servers Mike Day Distinguished Engineer, Virtualization and Linux August 20, 2014 mdday@us.ibm.com 1 What Makes a Good Cloud Operating System?! Consumes Few Resources! Fast
More informationStACC: St Andrews Cloud Computing Co laboratory. A Performance Comparison of Clouds. Amazon EC2 and Ubuntu Enterprise Cloud
StACC: St Andrews Cloud Computing Co laboratory A Performance Comparison of Clouds Amazon EC2 and Ubuntu Enterprise Cloud Jonathan S Ward StACC (pronounced like 'stack') is a research collaboration launched
More informationGUEST 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 informationBox Leangsuksun+ * Thammasat University, Patumtani, Thailand # Oak Ridge National Laboratory, Oak Ridge, TN, USA + Louisiana Tech University, Ruston,
N. Saragol * Hong Ong# Box Leangsuksun+ K. Chanchio* * Thammasat University, Patumtani, Thailand # Oak Ridge National Laboratory, Oak Ridge, TN, USA + Louisiana Tech University, Ruston, LA, USA Introduction
More informationBENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB
BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB Planet Size Data!? Gartner s 10 key IT trends for 2012 unstructured data will grow some 80% over the course of the next
More informationMulti-core Programming System Overview
Multi-core Programming System Overview Based on slides from Intel Software College and Multi-Core Programming increasing performance through software multi-threading by Shameem Akhter and Jason Roberts,
More informationMicrokernels, virtualization, exokernels. Tutorial 1 CSC469
Microkernels, virtualization, exokernels Tutorial 1 CSC469 Monolithic kernel vs Microkernel Monolithic OS kernel Application VFS System call User mode What was the main idea? What were the problems? IPC,
More informationCloud Sure - Virtual Machines
Cloud Sure - Virtual Machines Maximize your IT network The use of Virtualization is an area where Cloud Computing really does come into its own and arguably one of the most exciting directions in the IT
More informationComputing in High- Energy-Physics: How Virtualization meets the Grid
Computing in High- Energy-Physics: How Virtualization meets the Grid Yves Kemp Institut für Experimentelle Kernphysik Universität Karlsruhe Yves Kemp Barcelona, 10/23/2006 Outline: Problems encountered
More informationHigh-Density Network Flow Monitoring
Petr Velan petr.velan@cesnet.cz High-Density Network Flow Monitoring IM2015 12 May 2015, Ottawa Motivation What is high-density flow monitoring? Monitor high traffic in as little rack units as possible
More informationVirtual Machines and Cloud Cluster. Dan Thanh Ton University of Colorado Denver 2010 SIParCS Internship Mentor: Irfan Elahi
Virtual Machines and Cloud Cluster Dan Thanh Ton University of Colorado Denver 2010 SIParCS Internship Mentor: Irfan Elahi Overview Installed two operadng systems on one computer Installed two virtual
More informationPros and Cons of HPC Cloud Computing
CloudStat 211 Pros and Cons of HPC Cloud Computing Nils gentschen Felde Motivation - Idea HPC Cluster HPC Cloud Cluster Management benefits of virtual HPC Dynamical sizing / partitioning Loadbalancing
More informationMultifaceted 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 informationPerformance tuning Xen
Performance tuning Xen Roger Pau Monné roger.pau@citrix.com Madrid 8th of November, 2013 Xen Architecture Control Domain NetBSD or Linux device model (qemu) Hardware Drivers toolstack netback blkback Paravirtualized
More informationCUDA in the Cloud Enabling HPC Workloads in OpenStack With special thanks to Andrew Younge (Indiana Univ.) and Massimo Bernaschi (IAC-CNR)
CUDA in the Cloud Enabling HPC Workloads in OpenStack John Paul Walters Computer Scien5st, USC Informa5on Sciences Ins5tute jwalters@isi.edu With special thanks to Andrew Younge (Indiana Univ.) and Massimo
More informationVirtual Machine Synchronization for High Availability Clusters
Virtual Machine Synchronization for High Availability Clusters Yoshiaki Tamura, Koji Sato, Seiji Kihara, Satoshi Moriai NTT Cyber Space Labs. 2007/4/17 Consolidating servers using VM Internet services
More informationBasics in Energy Information (& Communication) Systems Virtualization / Virtual Machines
Basics in Energy Information (& Communication) Systems Virtualization / Virtual Machines Dr. Johann Pohany, Virtualization Virtualization deals with extending or replacing an existing interface so as to
More informationCON9577 Performance Optimizations for Cloud Infrastructure as a Service
CON9577 Performance Optimizations for Cloud Infrastructure as a Service John Falkenthal, Software Development Sr. Director - Oracle VM SPARC and VirtualBox Jeff Savit, Senior Principal Technical Product
More informationHow To Install Linux Titan
Linux Titan Distribution Presented By: Adham Helal Amgad Madkour Ayman El Sayed Emad Zakaria What Is a Linux Distribution? What is a Linux Distribution? The distribution contains groups of packages and
More informationRackspace 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 informationHyper-V vs ESX at the datacenter
Hyper-V vs ESX at the datacenter Gabrie van Zanten www.gabesvirtualworld.com GabesVirtualWorld Which hypervisor to use in the data center? Virtualisation has matured Virtualisation in the data center grows
More informationEucalyptus: An Open-source Infrastructure for Cloud Computing. Rich Wolski Eucalyptus Systems Inc. www.eucalyptus.com
Eucalyptus: An Open-source Infrastructure for Cloud Computing Rich Wolski Eucalyptus Systems Inc. www.eucalyptus.com Exciting Weather Forecasts Commercial Cloud Formation Eucalyptus - Confidential What
More informationBest Practices for Virtualised SharePoint
Best Practices for Virtualised SharePoint Brendan Law Blaw@td.com.au @FlamerNZ Flamer.co.nz/spag/ Nathan Mercer Nathan.Mercer@microsoft.com @NathanM blogs.technet.com/nmercer/ Agenda Why Virtualise? Hardware
More informationVirtual 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 informationFull and Para Virtualization
Full and Para Virtualization Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF x86 Hardware Virtualization The x86 architecture offers four levels
More informationVirtual Machines. COMP 3361: Operating Systems I Winter 2015 http://www.cs.du.edu/3361
s COMP 3361: Operating Systems I Winter 2015 http://www.cs.du.edu/3361 1 Virtualization! Create illusion of multiple machines on the same physical hardware! Single computer hosts multiple virtual machines
More informationZEN LOAD BALANCER EE v3.02 DATASHEET The Load Balancing made easy
ZEN LOAD BALANCER EE v3.02 DATASHEET The Load Balancing made easy OVERVIEW The global communication and the continuous growth of services provided through the Internet or local infrastructure require to
More informationScalable Data Analysis in R. Lee E. Edlefsen Chief Scientist UserR! 2011
Scalable Data Analysis in R Lee E. Edlefsen Chief Scientist UserR! 2011 1 Introduction Our ability to collect and store data has rapidly been outpacing our ability to analyze it We need scalable data analysis
More informationThe QEMU/KVM Hypervisor
The /KVM Hypervisor Understanding what's powering your virtual machine Dr. David Alan Gilbert dgilbert@redhat.com 2015-10-14 Topics Hypervisors and where /KVM sits Components of a virtual machine KVM Devices:
More informationEfficient Load Balancing using VM Migration by QEMU-KVM
International Journal of Computer Science and Telecommunications [Volume 5, Issue 8, August 2014] 49 ISSN 2047-3338 Efficient Load Balancing using VM Migration by QEMU-KVM Sharang Telkikar 1, Shreyas Talele
More informationVMware Cloud Environment
VMware Cloud Environment Enterprise level virtual datacentre: providing highly redundant, fast and scalable solutions. An eukhost Technical White Paper. Page 1 Introduction... 3 Traditional physical solutions...
More informationThe Xen of Virtualization
The Xen of Virtualization Assignment for CLC-MIRI Amin Khan Universitat Politècnica de Catalunya March 4, 2013 Amin Khan (UPC) Xen Hypervisor March 4, 2013 1 / 19 Outline 1 Introduction 2 Architecture
More informationXen and the Art of. Virtualization. Ian Pratt
Xen and the Art of Virtualization Ian Pratt Keir Fraser, Steve Hand, Christian Limpach, Dan Magenheimer (HP), Mike Wray (HP), R Neugebauer (Intel), M Williamson (Intel) Computer Laboratory Outline Virtualization
More informationMicrosoft Hyper-V chose a Primary Server Virtualization Platform
Roger Shupert, Integration Specialist } Lake Michigan College has been using Microsoft Hyper-V as it s primary server virtualization platform since 2008, in this presentation we will discuss the following;
More informationServerPronto Cloud User Guide
ServerPronto Cloud User Guide Virtual machines Virtual machines are based on templates and are deployed on hypervisors. Hypervisors give them access to CPU, disk and network resources. The ServerPronto
More informationA general-purpose virtualization service for HPC on cloud computing: an application to GPUs
A general-purpose virtualization service for HPC on cloud computing: an application to GPUs R.Montella, G.Coviello, G.Giunta* G. Laccetti #, F. Isaila, J. Garcia Blas *Department of Applied Science University
More informationBlobSeer: Towards efficient data storage management on large-scale, distributed systems
: Towards efficient data storage management on large-scale, distributed systems Bogdan Nicolae University of Rennes 1, France KerData Team, INRIA Rennes Bretagne-Atlantique PhD Advisors: Gabriel Antoniu
More informationAn 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 informationArchitecting for the next generation of Big Data Hortonworks HDP 2.0 on Red Hat Enterprise Linux 6 with OpenJDK 7
Architecting for the next generation of Big Data Hortonworks HDP 2.0 on Red Hat Enterprise Linux 6 with OpenJDK 7 Yan Fisher Senior Principal Product Marketing Manager, Red Hat Rohit Bakhshi Product Manager,
More informationPerformance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi
Performance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi ICPP 6 th International Workshop on Parallel Programming Models and Systems Software for High-End Computing October 1, 2013 Lyon, France
More informationHigh Performance Computing in CST STUDIO SUITE
High Performance Computing in CST STUDIO SUITE Felix Wolfheimer GPU Computing Performance Speedup 18 16 14 12 10 8 6 4 2 0 Promo offer for EUC participants: 25% discount for K40 cards Speedup of Solver
More information<Insert Picture Here> Introducing Oracle VM: Oracle s Virtualization Product Strategy
Introducing Oracle VM: Oracle s Virtualization Product Strategy SAFE HARBOR STATEMENT The following is intended to outline our general product direction. It is intended for information
More informationBasics of Virtualisation
Basics of Virtualisation Volker Büge Institut für Experimentelle Kernphysik Universität Karlsruhe Die Kooperation von The x86 Architecture Why do we need virtualisation? x86 based operating systems are
More informationLeveraging Thin Hypervisors for Security on Embedded Systems
Leveraging Thin Hypervisors for Security on Embedded Systems Christian Gehrmann A part of Swedish ICT What is virtualization? Separation of a resource or request for a service from the underlying physical
More informationBenchmark Results of Fengqi.Asia
Benchmark Results of Fengqi.Asia Fengqi.Asia SmartOS SmartMachine vs. Popular Cloud Platforms(Part A) Fengqi.Asia VirtualMachine vs. Popular Cloud Platforms(Part B) Prepared by Fengqi.Asia Copyright owned
More informationIntro to Virtualization
Cloud@Ceid Seminars Intro to Virtualization Christos Alexakos Computer Engineer, MSc, PhD C. Sysadmin at Pattern Recognition Lab 1 st Seminar 19/3/2014 Contents What is virtualization How it works Hypervisor
More informationMulti-Threading Performance on Commodity Multi-Core Processors
Multi-Threading Performance on Commodity Multi-Core Processors Jie Chen and William Watson III Scientific Computing Group Jefferson Lab 12000 Jefferson Ave. Newport News, VA 23606 Organization Introduction
More informationMODULE 3 VIRTUALIZED DATA CENTER COMPUTE
MODULE 3 VIRTUALIZED DATA CENTER COMPUTE Module 3: Virtualized Data Center Compute Upon completion of this module, you should be able to: Describe compute virtualization Discuss the compute virtualization
More informationHPC and Big Data. EPCC The University of Edinburgh. Adrian Jackson Technical Architect a.jackson@epcc.ed.ac.uk
HPC and Big Data EPCC The University of Edinburgh Adrian Jackson Technical Architect a.jackson@epcc.ed.ac.uk EPCC Facilities Technology Transfer European Projects HPC Research Visitor Programmes Training
More informationLecture 2 Cloud Computing & Virtualization. Cloud Application Development (SE808, School of Software, Sun Yat-Sen University) Yabo (Arber) Xu
Lecture 2 Cloud Computing & Virtualization Cloud Application Development (SE808, School of Software, Sun Yat-Sen University) Yabo (Arber) Xu Outline Introduction to Virtualization The Major Approaches
More informationPARALLELS CLOUD SERVER
PARALLELS CLOUD SERVER Performance and Scalability 1 Table of Contents Executive Summary... Error! Bookmark not defined. LAMP Stack Performance Evaluation... Error! Bookmark not defined. Background...
More informationUse of Hadoop File System for Nuclear Physics Analyses in STAR
1 Use of Hadoop File System for Nuclear Physics Analyses in STAR EVAN SANGALINE UC DAVIS Motivations 2 Data storage a key component of analysis requirements Transmission and storage across diverse resources
More informationHadoop Architecture. Part 1
Hadoop Architecture Part 1 Node, Rack and Cluster: A node is simply a computer, typically non-enterprise, commodity hardware for nodes that contain data. Consider we have Node 1.Then we can add more nodes,
More informationZEN LOAD BALANCER EE v3.04 DATASHEET The Load Balancing made easy
ZEN LOAD BALANCER EE v3.04 DATASHEET The Load Balancing made easy OVERVIEW The global communication and the continuous growth of services provided through the Internet or local infrastructure require to
More informationCPET 581 Cloud Computing: Technologies and Enterprise IT Strategies. Virtualization of Clusters and Data Centers
CPET 581 Cloud Computing: Technologies and Enterprise IT Strategies Lecture 4 Virtualization of Clusters and Data Centers Text Book: Distributed and Cloud Computing, by K. Hwang, G C. Fox, and J.J. Dongarra,
More informationUnifying Information Security
Unifying Information Security CLEARSWIFT SECURE Gateways VMware Deployment Guide Version 3.3 1 Introduction The Clearswift SECURE Web and Email Gateways are multi-process, multi-threaded applications,
More informationCOLO: COarse-grain LOck-stepping Virtual Machine for Non-stop Service
COLO: COarse-grain LOck-stepping Virtual Machine for Non-stop Service Eddie Dong, Yunhong Jiang 1 Legal Disclaimer INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE,
More informationDeploying Business Virtual Appliances on Open Source Cloud Computing
International Journal of Computer Science and Telecommunications [Volume 3, Issue 4, April 2012] 26 ISSN 2047-3338 Deploying Business Virtual Appliances on Open Source Cloud Computing Tran Van Lang 1 and
More informationXen and XenServer Storage Performance
Xen and XenServer Storage Performance Low Latency Virtualisation Challenges Dr Felipe Franciosi XenServer Engineering Performance Team e-mail: felipe.franciosi@citrix.com freenode: felipef #xen-api twitter:
More informationCloud Storage. Parallels. Performance Benchmark Results. White Paper. www.parallels.com
Parallels Cloud Storage White Paper Performance Benchmark Results www.parallels.com Table of Contents Executive Summary... 3 Architecture Overview... 3 Key Features... 4 No Special Hardware Requirements...
More informationVirtualization 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 informationDheeraj K. Rathore 1, Dr. Vibhakar Pathak 2
International Journal of Innovative Research in Technology & Science (IJIRTS) A PERFORMANCE COMPARISONS OF DIFFERENT VIRTUAL MACHINES IN HYBRID CLOUD SYSTEM Dheeraj K. Rathore 1, Dr. Vibhakar Pathak 2
More informationGroup 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 informationACANO SOLUTION VIRTUALIZED DEPLOYMENTS. White Paper. Simon Evans, Acano Chief Scientist
ACANO SOLUTION VIRTUALIZED DEPLOYMENTS White Paper Simon Evans, Acano Chief Scientist Updated April 2015 CONTENTS Introduction... 3 Host Requirements... 5 Sizing a VM... 6 Call Bridge VM... 7 Acano Edge
More informationRun-time Resource Management in SOA Virtualized Environments. Danilo Ardagna, Raffaela Mirandola, Marco Trubian, Li Zhang
Run-time Resource Management in SOA Virtualized Environments Danilo Ardagna, Raffaela Mirandola, Marco Trubian, Li Zhang Amsterdam, August 25 2009 SOI Run-time Management 2 SOI=SOA + virtualization Goal:
More informationPERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE
PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE Sudha M 1, Harish G M 2, Nandan A 3, Usha J 4 1 Department of MCA, R V College of Engineering, Bangalore : 560059, India sudha.mooki@gmail.com 2 Department
More informationHardware/Software Guidelines
There are many things to consider when preparing for a TRAVERSE v11 installation. The number of users, application modules and transactional volume are only a few. Reliable performance of the system is
More informationCOS 318: Operating Systems. Virtual Machine Monitors
COS 318: Operating Systems Virtual Machine Monitors Kai Li and Andy Bavier Computer Science Department Princeton University http://www.cs.princeton.edu/courses/archive/fall13/cos318/ Introduction u Have
More informationSURFsara HPC Cloud Workshop
SURFsara HPC Cloud Workshop www.cloud.sara.nl Tutorial 2014-06-11 UvA HPC and Big Data Course June 2014 Anatoli Danezi, Markus van Dijk cloud-support@surfsara.nl Agenda Introduction and Overview (current
More informationXen @ Google. Iustin Pop, <iustin@google.com> Google Switzerland. Sponsored by:
Xen @ Google Iustin Pop, Google Switzerland Sponsored by: & & Introduction Talk overview Corporate infrastructure Overview Use cases Technology Open source components Internal components
More informationChapter 14 Virtual Machines
Operating Systems: Internals and Design Principles Chapter 14 Virtual Machines Eighth Edition By William Stallings Virtual Machines (VM) Virtualization technology enables a single PC or server to simultaneously
More informationOn the Performance Isolation Across Virtual Network Adapters in Xen
CLOUD COMPUTING 11 : The Second International Conference on Cloud Computing, GRIDs, and Virtualization On the Performance Isolation Across Virtual Network Adapters in Xen Blazej Adamczyk, Andrzej Chydzinski
More informationBeyond the Hypervisor
Beyond the Hypervisor A Technical Roadmap for Open Virtualization, Linux, KVM Mike Day Distinguished Engineer, Chief Virtualization Architect, Open Systems Development Saturday, February 22, 2014 1 mdday@us.ibm.com
More informationBenchmarking Hadoop & HBase on Violin
Technical White Paper Report Technical Report Benchmarking Hadoop & HBase on Violin Harnessing Big Data Analytics at the Speed of Memory Version 1.0 Abstract The purpose of benchmarking is to show advantages
More informationInvestigation of storage options for scientific computing on Grid and Cloud facilities
Investigation of storage options for scientific computing on Grid and Cloud facilities Overview Hadoop Test Bed Hadoop Evaluation Standard benchmarks Application-based benchmark Blue Arc Evaluation Standard
More informationVirtualization with Windows
Virtualization with Windows at CERN Juraj Sucik, Emmanuel Ormancey Internet Services Group Agenda Current status of IT-IS group virtualization service Server Self Service New virtualization features in
More informationAutonomic resource management for the Xen Hypervisor
Autonomic resource management for the Xen Hypervisor Íñigo Goiri and Jordi Guitart Universitat Politécnica de Catalunya Barcelona, Spain {igoiri,jguitart}@ac.upc.es Abstract Servers workload varies during
More informationVirtualised MikroTik
Virtualised MikroTik MikroTik in a Virtualised Hardware Environment Speaker: Tom Smyth CTO Wireless Connect Ltd. Event: MUM Krackow Feb 2008 http://wirelessconnect.eu/ Copyright 2008 1 Objectives Understand
More informationCS423 Spring 2015 MP4: Dynamic Load Balancer Due April 27 th at 9:00 am 2015
CS423 Spring 2015 MP4: Dynamic Load Balancer Due April 27 th at 9:00 am 2015 1. Goals and Overview 1. In this MP you will design a Dynamic Load Balancer architecture for a Distributed System 2. You will
More informationBest Practices for Monitoring Databases on VMware. Dean Richards Senior DBA, Confio Software
Best Practices for Monitoring Databases on VMware Dean Richards Senior DBA, Confio Software 1 Who Am I? 20+ Years in Oracle & SQL Server DBA and Developer Worked for Oracle Consulting Specialize in Performance
More informationA Cost-Evaluation of MapReduce Applications in the Cloud
1/23 A Cost-Evaluation of MapReduce Applications in the Cloud Diana Moise, Alexandra Carpen-Amarie Gabriel Antoniu, Luc Bougé KerData team 2/23 1 MapReduce applications - case study 2 3 4 5 3/23 MapReduce
More informationLeveraging BlobSeer to boost up the deployment and execution of Hadoop applications in Nimbus cloud environments on Grid 5000
Leveraging BlobSeer to boost up the deployment and execution of Hadoop applications in Nimbus cloud environments on Grid 5000 Alexandra Carpen-Amarie Diana Moise Bogdan Nicolae KerData Team, INRIA Outline
More informationInstallation Guide for Citrix XenServer 5.5
white paper Installation Guide for Citrix XenServer 5.5 Title: Installation Guide for Citrix XenServer 5.5 Author(s): Xtravirt (Paul Buckle) Target Audience: Technical - Novice Current Revision: 1.0 (Jul
More informationIOS110. 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 informationPerformance of the Cloud-Based Commodity Cluster. School of Computer Science and Engineering, International University, Hochiminh City 70000, Vietnam
Computer Technology and Application 4 (2013) 532-537 D DAVID PUBLISHING Performance of the Cloud-Based Commodity Cluster Van-Hau Pham, Duc-Cuong Nguyen and Tien-Dung Nguyen School of Computer Science and
More informationCloud Computing. Alex Crawford Ben Johnstone
Cloud Computing Alex Crawford Ben Johnstone Overview What is cloud computing? Amazon EC2 Performance Conclusions What is the Cloud? A large cluster of machines o Economies of scale [1] Customers use a
More informationPERFORMANCE ENHANCEMENTS IN TreeAge Pro 2014 R1.0
PERFORMANCE ENHANCEMENTS IN TreeAge Pro 2014 R1.0 15 th January 2014 Al Chrosny Director, Software Engineering TreeAge Software, Inc. achrosny@treeage.com Andrew Munzer Director, Training and Customer
More informationHAVmS: Highly Available Virtual machine Computer System Fault Tolerant with Automatic Failback and close to zero downtime
HAVmS: Highly Available Virtual machine Computer System Fault Tolerant with Automatic Failback and close to zero downtime Memmo Federici INAF - IAPS, Bruno Martino CNR - IASI The basics Highly available
More informationLearning Objectives. Chapter 1: Networking with Microsoft Windows 2000 Server. Basic Network Concepts. Learning Objectives (continued)
Chapter 1: Networking with Microsoft Learning Objectives Plan what network model to apply to your network Compare the differences between Windows 2000 Professional, Server, Advanced Server, and Datacenter
More informationHyper-V R2: What's New?
ASPE IT Training Hyper-V R2: What's New? A WHITE PAPER PREPARED FOR ASPE BY TOM CARPENTER www.aspe-it.com toll-free: 877-800-5221 Hyper-V R2: What s New? Executive Summary This white paper provides an
More informationAn Introduction to Service Containers
An Introduction to Service Containers Matt Bolick Technical Marketing Engineer September 11, 2013 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public 1 Traditional Network Services Traditional
More informationVirtual Switching Without a Hypervisor for a More Secure Cloud
ing Without a for a More Secure Cloud Xin Jin Princeton University Joint work with Eric Keller(UPenn) and Jennifer Rexford(Princeton) 1 Public Cloud Infrastructure Cloud providers offer computing resources
More informationnanohub.org An Overview of Virtualization Techniques
An Overview of Virtualization Techniques Renato Figueiredo Advanced Computing and Information Systems (ACIS) Electrical and Computer Engineering University of Florida NCN/NMI Team 2/3/2006 1 Outline Resource
More information