Improvement of computational abilities in computing environments with virtualization technologies
|
|
- Simon McKenzie
- 2 years ago
- Views:
Transcription
1 КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С СЕКЦИОННЫЕ ДОКЛАДЫ УДК: Improvement of computational abilities in computing environments with virtualization technologies А. V. Bogdanov 1,a, Kyaw Zaya 2,b, Pyae Sone Ko Ko 2,c 1 Institute for High-performance computing and the integrated systems, St. Petersburg, , Russia 2 St.Petersburg State Marine Technical University, 3 Lotsmanskaya Str., St. Petersburg, Russia a b c Received December 4, 2014 In this paper, we illustrates the ways to improve abilities of the computing environments by using virtualization, single system image (SSI) and hypervisor technologies collaboration for goal to improve computational abilities. Recently cloud computing as a new service concept has become popular to provide various services to user such as multi-media sharing, online office software, game and online storage. The cloud computing is bringing together multiple computers and servers in a single environment designed to address certain types of tasks, such as scientific problems or complex calculations. By using virtualization technologies, cloud computing environment is able to virtualize and share resources among different applications with the objective for better server utilization, better load balancing and effectiveness. Keywords: virtualization, hypervisor, shared memory system, single system image Усовершенствование вычислительных возможностей в вычислительной среде с помощью технологий виртуализации А. В. Богданов, Кьяв Зайя, Пуае Сон Ko Ko 1 Института высокопроизводительных вычислений и Информационных Систем, Россия, , г. Санкт-Петербург 2 Санкт-Петербургский государственный морской технический университет, Россия, , г. Санкт-Петербург, ул. Лоцманская, д. 3 В этой работе мы показываем способы увеличения возможностей вычислительных сред с помощью виртуализации, единого системного образа (SSI) и коллаборации технологий гипервизора с целью улучшения вычислительных возможностей. В последнее время облачные вычисления как новое сервисное понятие, стали популярными для обеспечения различных сервисов для пользователя типа разделения мультимедиа, офисное on-line программное обеспечение, игры и on-line хранилища. Облачные вычисления объединяют множество компьютеров и серверов в единую среду, разработанную для обращения к определённым типам задач, таких как научные задачи или сложные вычисления. С помощью технологий виртуализации среда облачных вычислений способна виртуализировать и разделять ресурсы между различными приложениями с целью лучшего использования сервера, лучшего балансирования загрузки и эффективности. Ключевые слова: виртуализация, гипервизор, система разделяемой памяти, единый системный образ Citation: Computer Research and Modeling, 2015, vol. 7, no. 3, pp Александр Владимирович Богданов, Кьяв Зайя, Пуае Сон Ko Ko
2 500 А. V. Bogdanov, Kyaw Zaya, Pyae Sone Ko Ko Introduction Now a day new technologies allow us to create relatively cheap multi-machine systems with shared computing resource, simplicity to manage heterogeneous resources and control large amount data transfer among them. Such systems provide relatively low computational cost, highly scalable, have high levels of reliability are proven tools for designing, debugging and performance analysis of parallel programs. The new approach is to combine virtualization technology with single system image. Since few years, virtual machines were offered enhanced resource management, using features such as live migration. SSI supports easier programming and administration for cluster environment. After evaluating different configurations, we show that combining the approaches allows us to better decisions challenges such as flexibility for the use of available resources and simplicity of use. In other terms, virtual machines add a level of management flexibility between the hardware and applications, while SSI provides an abstraction of distributed resources. Simultaneous use of both technologies could improve the overall platform resources, productivity and efficiency of the cluster running applications. Advantage of cloud computing is the ability to virtualize and share resources among different applications in order to ensure better utilization of the server [Al-Kiswany et al., 2011] [Nagarajan et al., 2007]. Cloud computing, a large distributed system that uses distributed resources to provide services to end-users through the implementation of several technologies. Virtualization technologies which are heavily relied on by the Cloud Computing environments provide the ability to transfer virtual machines (VM) between the physical systems using the technique of live migration mainly for improving the efficiency [Sabahi, 2012]. Dynamic server consolidation through live migration is an efficient way in cloud computing environments. Hypervisor A hypervisor, also known as a virtual machine monitor (VMM), is computer hardware platform virtualization software that allows several operating systems to share a single hardware host. Each operating system appears to have the host s processor, memory and resources to itself. The hypervisor is controlling the host processor and resources, distributing what is needed to each operating system in turn and ensuring that the guest operating systems or virtual machines are unable to disrupt each other [Yong, Network ]. In a virtual environment, the virtual machine monitor (VMM) is the master control program with the maximum privilege level, and the VMM manages one or more operating systems. Hypervisors are classified into two types: Native hypervisors: Software systems that run directly on the host s software as a hardware control and guest operating system monitor. A guest operating system thus runs on another level above the hypervisor. This is the classic implementation of virtual machine architectures. Host hypervisors: Software applications that run within a conventional operating system environment. Considering the hypervisor layer being a distinct software layer, guest operating systems thus run at the third level above the hardware. Virtualization Virtualization enables the consolidation and pooling of resources so that they can be distributed across a variety of applications to compensate for the limited resources and reduce growing business needs. Virtualization provides a logical abstraction of physical computing resources and creates computing environments that are not limited to the physical configuration or implementation. Virtualization Methods Operating System-Based Virtualization Virtualization is enabled by a host operating system that supports multiple isolated and virtualized guest OS s on a single physical server with the characteristic that all are on the same operating КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ
3 Improvement of computational abilities in computing environments 501 system kernel with exclusive control over the hardware infrastructure. The host operating system can view and has control over the Virtual Machines [Sabahi, 2012] [Litty, 2005]. Fig. 1. Hypervisor (Virtual Machine Monitor) Fig. 2. Operation System-Based Virtualization Application-based virtualization An application-based virtualization is hosted on top of the hosting operating system. This virtualization application then emulates each VM containing its own guest operating system and related applications [Sabahi, 2012]. Fig. 3. Application-Based Virtualization Hypervisor-based virtualization The hypervisor is available at the boot time of machine in order to control the sharing of system resources across multiple VMs. Some of these VMs are privileged partitions which manage the virtu- 2015, Т. 7, 3, С
4 502 А. V. Bogdanov, Kyaw Zaya, Pyae Sone Ko Ko alization platform and hosted Virtual Machines. In this architecture, the privileged partitions view and control the Virtual Machines. This approach establishes the most controllable environment and can utilize additional security tools such as intrusion detection systems [Sabahi, 2012; Litty, 2005]. Fig.4. Hypervisor-Based Virtualization Single System Image SSI means that all the distributed resources are organized to a uniform unit for users, users can not be aware of the existence of every node that makes up of the computer system. SSI includes some attributes such as single memory space, single process space, single I/O space, single log on point, single file system, single loads management, and so on. The key attributes of SSI are single memory space and single process space [Rajkumar Buyya, 2001; Yong, Network ]. The SSI of a cluster can be implemented on the hardware level, the under-ware level, the middleware level and the application level. Fig.5. Integration of Single System Image and Virtualization Live Migration Transfers applications on a guest OS to any other healthy node and also provide the premigration mechanism where all the states are transferred before the application starts executing on the КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ
5 Improvement of computational abilities in computing environments 503 new healthy node. The sequence in which the live migration occurs is explained below [Desai, 2012; Nagarajan et al., 2007]: (a) Pre Migration: Whenever the migration is initiated, host inquires for available resources and if found, it will reserve them for the process. (b) Pre Copy: All the pages are sent to the new node while the guest OS still continues the execution of the application. The changes made during this time are sent as dirty bits so that they can be identified on the new node. Analyzing performance After all configurations, we analyzed the performance of our virtual distributed computing environment. We manage heterogeneous resources, create a virtual computing clusters under the control of a hypervisor and combine computing resources into a single computing system, which shown in figure 5. Without virtualization technologies computing environment inability to control computer processes and dynamic load balancing between nodes to improve performance during execution of parallel and multi-threaded applications. Time In Seconds Crystal OpenFoam (IcoFoam) NPB(LU) Number Of VMs Fig. 6. Performance Testing On Virtual Computing Environment Conclusion Virtualization, that is increasingly attractive for commercial systems, as implemented by a small hypervisor that runs below the usual OS layer, has the same potential to benefit HPC applications in the dimensions of flexible OS variety, productivity, performance, reliability, availability, security and simplicity. Combination of virtualization and single system image allows processes to more easily migrate between nodes in the cluster for better load balancing and effectiveness of the computing environment [Mergen et al., 2003]. References Al-Kiswany S., Subhraveti D., Sarkar P. and Ripeanu M. VMFlock: Virtual machine co-migration for the cloud. In HPDC'11 (San Jose, USA, June 2011). 2015, Т. 7, 3, С
6 504 А. V. Bogdanov, Kyaw Zaya, Pyae Sone Ko Ko Desai M. Department of Computer Science, University of Southern California Los Angeles, CA. High Performance Computing and Virtualization, Litty L. "Hypervisor-based Intrusion Detection," M.S. thesis, Dept. Computer Science, University of Toronto, Mergen M. F., Uhlig V., Krieger O., Xenidis J. Virtualization for high performance Nagarajan A. B., Mueller F., Engelmann Ch., Scott S. L. Proactive fault tolerance for HPC with Xen virtualization. ICS 2007: Rajkumar Buyya T. C. Single system image (ssi), the International Journal of High Performance Computing Applications, vol. 15, pp , Sabahi F. Secure Virtualization for Cloud Environment Using Hypervisor-based Technology, Yong L. Network Center of Nanchang University, Single System Image with Virtualization Technology for Cluster Computing Environment, Nanchang , China. КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ
Storage database in cloud processing
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 493 498 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.65 Storage database in cloud processing A. V. Bogdanov a, Thurein Kyaw Lwin b Saint Petersburg State University,
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
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
Distributed dcache-based storage system of UB RAS
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 559 563 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.63 Distributed dcache-based storage system of UB RAS E. Yu. Kuklin 1,3,a, A. V. Sozykin 1,3, A. Yu. Bersenev
The Review of Virtualization in an Isolated Computer Environment
The Review of Virtualization in an Isolated Computer Environment Sunanda Assistant professor, Department of Computer Science & Engineering, Ludhiana College of Engineering & Technology, Ludhiana, Punjab,
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
Consolidation Technology in the Cloud Data Processing
ISBN 978-93-84422-37-0 2015 International Conference on Advances in Software, Control and Mechanical Engineering (ICSCME'2015) Antalya (Turkey) Sept. 7-8, 2015 pp. 1-5 Consolidation Technology in the Cloud
Decomposition of the modeling task of some objects of archeological research for processing in a distributed computer system
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 533 537 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.02 Decomposition of the modeling task of some objects of archeological research for processing in a distributed
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:
COS 318: Operating Systems. Virtual Machine Monitors
COS 318: Operating Systems Virtual Machine Monitors Kai Li and Andy Bavier Computer Science Department Princeton University http://www.cs.princeton.edu/courses/archive/fall13/cos318/ Introduction u Have
Distributed and Cloud Computing
Distributed and Cloud Computing K. Hwang, G. Fox and J. Dongarra Chapter 3: Virtual Machines and Virtualization of Clusters and datacenters Adapted from Kai Hwang University of Southern California March
New resource provision paradigms for Grid Infrastructures: Virtualization and Cloud
CISCO NerdLunch Series November 7, 2008 San Jose, CA New resource provision paradigms for Grid Infrastructures: Virtualization and Cloud Ruben Santiago Montero Distributed Systems Architecture Research
CPET 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,
Efficient Analysis of Cloud-based enterprise information application systems Hua Yi Lin 1, Meng-Yen Hsieh 2, Yu-Bin Chiu 1 and Jiann-Gwo Doong 1 1 Department of Information Management, China University
Basics 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
Enabling 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
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
Enabling 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
Virtualization. Pradipta De pradipta.de@sunykorea.ac.kr
Virtualization Pradipta De pradipta.de@sunykorea.ac.kr Today s Topic Virtualization Basics System Virtualization Techniques CSE506: Ext Filesystem 2 Virtualization? A virtual machine (VM) is an emulation
Distributed Systems. Virtualization. Paul Krzyzanowski pxk@cs.rutgers.edu
Distributed Systems Virtualization Paul Krzyzanowski pxk@cs.rutgers.edu Except as otherwise noted, the content of this presentation is licensed under the Creative Commons Attribution 2.5 License. Virtualization
managing the risks of virtualization
managing the risks of virtualization Chris Wraight CA Technologies 28 February 2011 Session Number 8951 abstract Virtualization opens the door to a world of opportunities and well managed virtualization
Virtualization 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
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
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
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
Full 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
Virtualizare sub Linux: avantaje si pericole. Dragos Manac
Virtualizare sub Linux: avantaje si pericole Dragos Manac 1 Red Hat Enterprise Linux 5 Virtualization Major Hypervisors Xen: University of Cambridge Computer Laboratory Fully open sourced Set of patches
Network Performance Comparison of Multiple Virtual Machines
Network Performance Comparison of Multiple Virtual Machines Alexander Bogdanov 1 1 Institute forhigh-performance computing and the integrated systems, e-mail: bogdanov@csa.ru, Saint-Petersburg, Russia
Virtualization 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:
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
Applications of on-demand virtual clusters to high performance computing
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 511 516 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.272 Applications of on-demand virtual clusters to high performance computing I. G. Gankevich a, S. G. Balyan
Virtualization and the U2 Databases
Virtualization and the U2 Databases Brian Kupzyk Senior Technical Support Engineer for Rocket U2 Nik Kesic Lead Technical Support for Rocket U2 Opening Procedure Orange arrow allows you to manipulate the
Virtualization. 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
Chapter 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
Virtualization. Dr. Yingwu Zhu
Virtualization Dr. Yingwu Zhu What is virtualization? Virtualization allows one computer to do the job of multiple computers. Virtual environments let one computer host multiple operating systems at the
Efficient 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
The Key Technology Research of Virtual Laboratory based On Cloud Computing Ling Zhang
International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2015) The Key Technology Research of Virtual Laboratory based On Cloud Computing Ling Zhang Nanjing Communications
Virtual Machines. www.viplavkambli.com
1 Virtual Machines A virtual machine (VM) is a "completely isolated guest operating system installation within a normal host operating system". Modern virtual machines are implemented with either software
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
The 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
9/26/2011. What is Virtualization? What are the different types of virtualization.
CSE 501 Monday, September 26, 2011 Kevin Cleary kpcleary@buffalo.edu What is Virtualization? What are the different types of virtualization. Practical Uses Popular virtualization products Demo Question,
The Art of Virtualization with Free Software
Master on Free Software 2009/2010 {mvidal,jfcastro}@libresoft.es GSyC/Libresoft URJC April 24th, 2010 (cc) 2010. Some rights reserved. This work is licensed under a Creative Commons Attribution-Share Alike
Cloud Computing #6 - Virtualization
Cloud Computing #6 - Virtualization Main source: Smith & Nair, Virtual Machines, Morgan Kaufmann, 2005 Today What do we mean by virtualization? Why is it important to cloud? What is the penalty? Current
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
Single System Image with Virtualization Technology for Cluster Computing Environment
Third 2008 International Conference on Convergence and Hybrid Information Technology Single System Image with Technology for Cluster Computing Environment Liang Yong Network Center of Nanchang University,
x86 ISA Modifications to support Virtual Machines
x86 ISA Modifications to support Virtual Machines Douglas Beal Ashish Kumar Gupta CSE 548 Project Outline of the talk Review of Virtual Machines What complicates Virtualization Technique for Virtualization
Computing 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
Is Virtualization Killing SSI Research?
Is Virtualization Killing SSI Research? Jérôme Gallard, Geoffroy Vallée, Adrien Lèbre, Christine Morin, Pascal Gallard and Stephen L. Scott Aug, 26th Outline Context Cluster BS/SSI Virtualization Combining
CLOUD COMPUTING. DAV University, Jalandhar, Punjab, India. DAV University, Jalandhar, Punjab, India
CLOUD COMPUTING 1 Er. Simar Preet Singh, 2 Er. Anshu Joshi 1 Assistant Professor, Computer Science & Engineering, DAV University, Jalandhar, Punjab, India 2 Research Scholar, Computer Science & Engineering,
Lecture 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
International Symposium on Grid Computing 2009 April 23th, Academia Sinica, Taipei, Taiwan
International Symposium on Grid Computing 2009 April 23th, Academia Sinica, Taipei, Taiwan New resource provision paradigms for Grid Infrastructures: Virtualization and Cloud Ruben Santiago Montero Distributed
MODULE 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
SURVEY ON VIRTUALIZATION VULNERABILITIES
SURVEY ON VIRTUALIZATION VULNERABILITIES Indumathy M Department of MCA, Acharya Institute of Technology, Bangalore, (India) ABSTRACT Virtualization plays a major role in serving the organizations to reduce
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
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
Virtual Machine Security
Virtual Machine Security CSE497b - Spring 2007 Introduction Computer and Network Security Professor Jaeger www.cse.psu.edu/~tjaeger/cse497b-s07/ 1 Operating System Quandary Q: What is the primary goal
Virtualization. Jukka K. Nurminen 23.9.2015
Virtualization Jukka K. Nurminen 23.9.2015 Virtualization Virtualization refers to the act of creating a virtual (rather than actual) version of something, including virtual computer hardware platforms,
COM 444 Cloud Computing
COM 444 Cloud Computing Lec 3: Virtual Machines and Virtualization of Clusters and Datacenters Prof. Dr. Halûk Gümüşkaya haluk.gumuskaya@gediz.edu.tr haluk@gumuskaya.com http://www.gumuskaya.com Virtual
www.see-grid-sci.eu Regional SEE-GRID-SCI Training for Site Administrators Institute of Physics Belgrade March 5-6, 2009
SEE-GRID-SCI Virtualization and Grid Computing with XEN www.see-grid-sci.eu Regional SEE-GRID-SCI Training for Site Administrators Institute of Physics Belgrade March 5-6, 2009 Milan Potocnik University
Logical Partitioning Feature of CB Series Xeon Servers Suitable for Robust and Reliable Cloud
Hitachi Review Vol. 61 (2012), No. 2 65 Partitioning Feature of CB Series Xeon Servers Suitable for Robust and Reliable Cloud Hitoshi Ueno, Ph. D., PE.jp Shinichi Matsumura OVERVIEW: is Hitachi s own server
Virtual Hosting & Virtual Machines
& Virtual Machines Coleman Kane Coleman.Kane@ge.com September 2, 2014 Cyber Defense Overview / Machines 1 / 17 Similar to the network partitioning schemes described previously, there exist a menu of options
Experience with Server Self Service Center (S3C)
Experience with Server Self Service Center (S3C) Juraj Sucik, Sebastian Bukowiec IT Department, CERN, CH-1211 Genève 23, Switzerland E-mail: juraj.sucik@cern.ch, sebastian.bukowiec@cern.ch Abstract. CERN
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,
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,
Analysis on Virtualization Technologies in Cloud
Analysis on Virtualization Technologies in Cloud 1 V RaviTeja Kanakala, V.Krishna Reddy, K.Thirupathi Rao 1 Research Scholar, Department of CSE, KL University, Vaddeswaram, India I. Abstract Virtualization
HPC performance applications on Virtual Clusters
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 This work investigates the performance of (Java)
nanohub.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
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,
Jukka Ylitalo Tik-79.5401 TKK, April 24, 2006
Rich Uhlig, et.al, Intel Virtualization Technology, Computer, published by the IEEE Computer Society, Volume 38, Issue 5, May 2005. Pages 48 56. Jukka Ylitalo Tik-79.5401 TKK, April 24, 2006 Outline of
HBA Virtualization Technologies for Windows OS Environments
HBA Virtualization Technologies for Windows OS Environments FC HBA Virtualization Keeping Pace with Virtualized Data Centers Executive Summary Today, Microsoft offers Virtual Server 2005 R2, a software
Basics 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
Satish Mohan. Head Engineering. AMD Developer Conference, Bangalore
Satish Mohan Head Engineering AMD Developer Conference, Bangalore Open source software Allows developers worldwide to collaborate and benefit. Strategic elimination of vendor lock in OSS naturally creates
Intro 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
System-level Virtualization for High Performance Computing
System-level Virtualization for High Performance Computing Geoffroy Vallee Thomas Naughton Christian Engelmann Hong Ong Stephen L. Scott PDP Toulouse, France Feb 2008 Introduction to Virtualization System-level
Efficient Cloud Management for Parallel Data Processing In Private Cloud
2012 International Conference on Information and Network Technology (ICINT 2012) IPCSIT vol. 37 (2012) (2012) IACSIT Press, Singapore Efficient Cloud Management for Parallel Data Processing In Private
International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 3, May-June 2015
RESEARCH ARTICLE OPEN ACCESS Ensuring Reliability and High Availability in Cloud by Employing a Fault Tolerance Enabled Load Balancing Algorithm G.Gayathri [1], N.Prabakaran [2] Department of Computer
Microkernels, 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,
Answering the Requirements of Flash-Based SSDs in the Virtualized Data Center
White Paper Answering the Requirements of Flash-Based SSDs in the Virtualized Data Center Provide accelerated data access and an immediate performance boost of businesscritical applications with caching
Best 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
Cisco Application-Centric Infrastructure (ACI) and Linux Containers
White Paper Cisco Application-Centric Infrastructure (ACI) and Linux Containers What You Will Learn Linux containers are quickly gaining traction as a new way of building, deploying, and managing applications
Virtualizing Exchange
Virtualizing Exchange Simplifying and Optimizing Management of Microsoft Exchange Server Using Virtualization Technologies By Anil Desai Microsoft MVP September, 2008 An Alternative to Hosted Exchange
White Paper on NETWORK VIRTUALIZATION
White Paper on NETWORK VIRTUALIZATION INDEX 1. Introduction 2. Key features of Network Virtualization 3. Benefits of Network Virtualization 4. Architecture of Network Virtualization 5. Implementation Examples
RUNNING vtvax FOR WINDOWS
RUNNING vtvax FOR WINDOWS IN A AVT / Vere Technologies TECHNICAL NOTE AVT/Vere Technical Note: Running vtvax for Windows in a Virtual Machine Environment Document Revision 1.1 (September, 2015) 2015 Vere
Running applications on a hybrid cluster
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 475 483 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.02 Running applications on a hybrid cluster A. V. Bogdanov 1,a, I. G. Gankevich 1, V. Yu. Gayduchok 2, N. V.
Linux/Open Source and Cloud computing Wim Coekaerts Senior Vice President, Linux and Virtualization Engineering
Linux/Open Source and Cloud computing Wim Coekaerts Senior Vice President, Linux and Virtualization Engineering NIST Definition of Cloud Computing Cloud computing is a model for enabling convenient, on-demand
Collaborative Project in Cloud Computing
Collaborative Project in Cloud Computing Project Title: Virtual Cloud Laboratory (VCL) Services for Education Transfer of Results: from North Carolina State University (NCSU) to IBM Technical Description:
CA Cloud Overview Benefits of the Hyper-V Cloud
Benefits of the Hyper-V Cloud For more information, please contact: Email: sales@canadianwebhosting.com Ph: 888-821-7888 Canadian Web Hosting (www.canadianwebhosting.com) is an independent company, hereinafter
Computational task tracking complex in the scientific project informational support system
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 615 620 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.45 Computational task tracking complex in the scientific project informational support system Saint Petersburg
VIRTUALIZATION 101. Brainstorm Conference 2013 PRESENTER INTRODUCTIONS
VIRTUALIZATION 101 Brainstorm Conference 2013 PRESENTER INTRODUCTIONS Timothy Leerhoff Senior Consultant TIES 21+ years experience IT consulting 12+ years consulting in Education experience 1 THE QUESTION
Secure Virtualization Technology
Secure Virtualization Technology Farzad Sabahi Abstract Cloud is one of today s most interesting technologies because of it can reduce cost and make flexibility and scalability. Hence, cloud computing
Cloud Computing CS 15-319
Cloud Computing CS 15-319 Virtualization Case Studies : Xen and VMware Lecture 20 Majd F. Sakr, Mohammad Hammoud and Suhail Rehman 1 Today Last session Resource Virtualization Today s session Virtualization
Running Parameter Sweep applications on Everest cloud platform
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 601 606 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.75, 004.45 Running Parameter Sweep applications on Everest cloud platform S. Yu. Volkov a, O. V. Sukhoroslov
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
CDBMS Physical Layer issue: Load Balancing
CDBMS Physical Layer issue: Load Balancing Shweta Mongia CSE, School of Engineering G D Goenka University, Sohna Shweta.mongia@gdgoenka.ac.in Shipra Kataria CSE, School of Engineering G D Goenka University,
An automated system for program parameters fine tuning in the cloud
КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ 2015 Т. 7 3 С. 587 592 СЕКЦИОННЫЕ ДОКЛАДЫ УДК: 004.4 An automated system for program parameters fine tuning in the cloud S. A. Smirnov a, A. S. Tarasov Institute
David.Balka@chi.frb.org 2009 STREAM FRBC
Virtualization ti Dave Balka David.Balka@chi.frb.org Examination Elements Architecture Management Processes Integrity Availability Security 2 Datacenter Consolidation 3 What is Virtualization A framework
Parallels Virtuozzo Containers
Parallels Virtuozzo Containers White Paper Top Ten Considerations For Choosing A Server Virtualization Technology www.parallels.com Version 1.0 Table of Contents Introduction... 3 Technology Overview...
Performance Comparison of VMware and Xen Hypervisor on Guest OS
ISSN: 2393-8528 Contents lists available at www.ijicse.in International Journal of Innovative Computer Science & Engineering Volume 2 Issue 3; July-August-2015; Page No. 56-60 Performance Comparison of
Virtualization System Vulnerability Discovery Framework. Speaker: Qinghao Tang Title:360 Marvel Team Leader
Virtualization System Vulnerability Discovery Framework Speaker: Qinghao Tang Title:360 Marvel Team Leader 1 360 Marvel Team Established in May 2015, the first professional could computing and virtualization
Multi-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,