• DocumentCode
    11525
  • Title

    An Efficient and Trustworthy Resource Sharing Platform for Collaborative Cloud Computing

  • Author

    Haiying Shen ; Guoxin Liu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA
  • Volume
    25
  • Issue
    4
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    862
  • Lastpage
    875
  • Abstract
    Advancements in cloud computing are leading to a promising future for collaborative cloud computing (CCC), where globally-scattered distributed cloud resources belonging to different organizations or individuals (i.e., entities) are collectively used in a cooperative manner to provide services. Due to the autonomous features of entities in CCC, the issues of resource management and reputation management must be jointly addressed in order to ensure the successful deployment of CCC. However, these two issues have typically been addressed separately in previous research efforts, and simply combining the two systems generates double overhead. Also, previous resource and reputation management methods are not sufficiently efficient or effective. By providing a single reputation value for each node, the methods cannot reflect the reputation of a node in providing individual types of resources. By always selecting the highest-reputed nodes, the methods fail to exploit node reputation in resource selection to fully and fairly utilize resources in the system and to meet users´ diverse QoS demands. We propose a CCC platform, called Harmony, which integrates resource management and reputation management in a harmonious manner. Harmony incorporates three key innovations: integrated multi-faceted resource/reputation management, multi-QoS-oriented resource selection, and price-assisted resource/reputation control. The trace data we collected from an online trading platform implies the importance of multi-faceted reputation and the drawbacks of highest-reputed node selection. Simulations and trace-driven experiments on the real-world PlanetLab testbed show that Harmony outperforms existing resource management and reputation management systems in terms of QoS, efficiency and effectiveness.
  • Keywords
    cloud computing; groupware; quality of service; resource allocation; trusted computing; CCC; Harmony platform; PlanetLab; QoS demands; collaborative cloud computing; globally-scattered distributed cloud resources; integrated multifaceted resource-reputation management; multi-QoS-oriented resource selection; node selection; online trading platform; price-assisted resource-reputation control; quality of service; reputation value; trustworthy resource sharing platform; Cloud computing; Collaboration; Indexes; Merchandise; Organizations; Quality of service; Resource management; Distributed systems; cloud computing; distributed hash tables; reputation management; resource management;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2013.106
  • Filename
    6495453