EVRC: An economic-based virtual resource co-allocation middleware for clouds

被引:0
|
作者
Zhang T. [1 ]
机构
[1] School of Computer and Communication, Hunan Institute of Engineering, Hunan Province
关键词
Cloud computing; Co-allocation; Resource market; Virtualisation;
D O I
10.1504/IJNVO.2018.10013251
中图分类号
学科分类号
摘要
In cloud platforms, resource co-allocation service plays an important role on meeting user's requirements especially for running some large-scale applications, which typically need to be deployed on several virtual organisations. In this paper, we present an economic-based virtual resource co-allocation (EVRC) middleware, which provides a set of flexible services that allows cloud applications co-allocating plenty of virtual resources across different resource providers. In the EVRC framework, resource co-allocation service is implemented by a novel auction mechanism, and cloud user's quality-of-service (QoS) requirements are guaranteed by a set of services including resource reservation, reputation manager and etc. In addition, the proposed EVRC middleware is incorporated with an online performance monitoring and profiling mechanism, which can be used to evaluate the efficiency of underlying resources and adjust up-level resource management policy. Extensive experiments are conducted to investigate the effectiveness of the EVRC middleware, and the results indicate that it can significantly improve the efficiency of virtual resource co-allocation as well as cloud user's QoS satisfactory. Copyright © 2018 Inderscience Enterprises Ltd.
引用
收藏
页码:196 / 210
页数:14
相关论文
共 50 条
  • [21] Market-based grid resource co-allocation and reservation for applications with hard deadlines
    Vanmechelen, Kurt
    Depoorter, Wim
    Broeckhove, Jan
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2009, 21 (18): : 2270 - 2297
  • [22] An economic-based resource management framework in the grid context
    Weng, CL
    Li, ML
    Lu, XD
    Deng, QN
    2005 IEEE INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID, VOLS 1 AND 2, 2005, : 542 - 549
  • [23] Slot Selection and Co-allocation for Economic Scheduling in Distributed Computing
    Toporkov, Victor
    Bobchenkov, Alexander
    Toporkova, Anna
    Tselishchev, Alexey
    Yemelyanov, Dmitry
    PARALLEL COMPUTING TECHNOLOGIES, 2011, 6873 : 368 - +
  • [24] Supporting schedules of resource co-allocation for distributed computing in scalable systems
    Toporkov, V. V.
    PROGRAMMING AND COMPUTER SOFTWARE, 2008, 34 (03) : 160 - 172
  • [25] An energy-efficient enhanced virtual resource provision middleware in clouds
    Liu, Dongbo
    Liu, Dongbo (liudongbo74@126.com), 1600, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (14): : 266 - 279
  • [26] Distributed Parallel Resource Co-Allocation with Load Balancing in Grid Computing
    Nehra, Neeraj
    Patel, R. B.
    Bhat, V. K.
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2007, 7 (01): : 282 - 291
  • [27] A distributed resource management architecture that supports advance reservations and co-allocation
    Foster, I
    Kesselman, C
    Lee, C
    Lindell, B
    Nahrstedt, K
    Roy, A
    IWQOS '99: 1999 SEVENTH INTERNATIONAL WORKSHOP ON QUALITY OF SERVICE, 1999, : 27 - 36
  • [28] Supporting schedules of resource co-allocation for distributed computing in scalable systems
    V. V. Toporkov
    Programming and Computer Software, 2008, 34 : 160 - 172
  • [29] Using hybrid gaming model for resource co-allocation in grid environments
    Peng, X. (xtanefn@gmail.com), 1600, Science and Engineering Research Support Society, 20 Virginia Court, Sandy Bay, Tasmania, Prof B.H.Kang's Office,, Australia (06):
  • [30] A concurrent G-negotiation mechanism for grid resource co-allocation
    Shi, Benyun
    Sirn, Kwang Mong
    ICEBE 2007: IEEE INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING, PROCEEDINGS, 2007, : 532 - +