Resource management of distributed Virtual Machines

被引:33
|
作者
Wang, Lizhe [1 ]
Chen, Dan [2 ]
Zhao, Jiaqi [3 ]
Tao, Jie [4 ]
机构
[1] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100864, Peoples R China
[2] China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China
[3] Changchun Univ Technol, Sch Basic Sci, Changchun 130012, Peoples R China
[4] Karlsruhe Inst Technol, Steinbuch Ctr Comp, D-76344 Karlsruhe, Germany
基金
中国国家自然科学基金;
关键词
grid computing; high energy physics application; grid workflow system; VM; virtual machine; LIST SCHEDULING ALGORITHM; PERFORMANCE EVALUATION; TASKS; GRIDS;
D O I
10.1504/IJAHUC.2012.048261
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Using Virtual Machines (VMs) as a computing resource within a Service Oriented Architecture (SOA) creates a variety of new issues and challenges. Traditionally parallel task scheduling algorithms only focus on handling CPU resources but with use of a VM there are many more resources properties to monitor and manage. The objective of this paper is to address these challenges of a multi-dimensional scheduling algorithm for VMs within a SOA. To do this we deploy a testbed of SOA environment with VMs that are capable of being registered, indexed, allocated, accessed and controlled by our new parallel task scheduling algorithms.
引用
收藏
页码:96 / 111
页数:16
相关论文
共 50 条
  • [1] Virtual Data System on distributed virtual machines in computational grids
    Wang, Lizhe
    von Laszewski, Gregor
    Tao, Jie
    Kunze, Marcel
    INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2010, 6 (04) : 194 - 204
  • [2] Resource provisioning based on preempting virtual machines in distributed systems
    Salehi, Mohsen Amini
    Javadi, Bahman
    Buyya, Rajkumar
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2014, 26 (02) : 412 - 433
  • [3] Schedule Distributed Virtual Machines in a Service Oriented Environment
    Wang, Lizhe
    von Laszewski, Gregor
    Kunze, Marcel
    Tao, Jie
    2010 24TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 2010, : 230 - 236
  • [4] Resource management framework for collaborative computing systems over multiple virtual machines
    Chen X.
    Zhang J.
    Li J.
    Service Oriented Computing and Applications, 2011, 5 (4) : 225 - 243
  • [5] A resource management methodology for collaborative computing system over multiple virtual machines
    Chen X.
    Zhang J.
    Li J.
    Li X.
    Journal of Software, 2011, 6 (11 SPEC. ISSUE) : 2282 - 2291
  • [6] Online Allocation of Virtual Machines in a Distributed Cloud
    Hao, Fang
    Kodialam, Murali
    Lakshman, T. V.
    Mukherjee, Sarit
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2017, 25 (01) : 238 - 249
  • [7] Integrated resource management for lambda-grids: The Distributed Virtual Computer (DVC)
    Chien, Andrew A.
    Taesombut, Nut
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS, 2009, 25 (02): : 147 - 152
  • [8] Multiple Virtual Machines Resource Scheduling for Cloud Computing
    Zhang, Weizhe
    He, Hui
    Chen, Gui
    Sun, Jilong
    APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (05): : 2089 - 2096
  • [9] Quality-of-Service Aware Resource Allocation for Virtual Machines
    Jeong, Chiwook
    Ha, Taejin
    Kim, JongWon
    Lim, Hyuk
    2017 31ST INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), 2017, : 191 - 193
  • [10] vTMM: Tiered Memory Management for Virtual Machines
    Sha, Sai
    Li, Chuandong
    Luo, Yingwei
    Wang, Xiaolin
    Wang, Zhenlin
    PROCEEDINGS OF THE EIGHTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS, EUROSYS 2023, 2023, : 283 - 297