• DocumentCode
    266177
  • Title

    Reliable resource allocation with weighted SRGs for optically interconnected clouds

  • Author

    Yi Zhu ; Yan Liang ; Qiong Zhang ; Xi Wang ; Palacharla, Paparao ; Sekiya, Motoyoshi

  • Author_Institution
    Dept. of Comput. Sci., Hawaii Pacific Univ., Honolulu, HI, USA
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    2186
  • Lastpage
    2191
  • Abstract
    In this paper, we study the minimum failure resource allocation (MFRA) problem of allocating virtual machines (VMs) across multiple optically interconnected data centers (DCs) with the objective of minimizing the total failure probability based on the information obtained from the optical network virtulization. We first describe the framework of resource allocation, formulate the MFRA problem, and prove that MFRA is NP-complete. We then provide ILP formulation to obtain the optimal solution for small scale problems and two heuristic algorithms, named Minimum SRG Cover (MSC) and Reliable DC Selection (RDS), to solve large scale problems. Numerical results show that both heuristics achieve results close to optimal solutions for small scale problems. Numerical results also show that although RDS has higher time complexity, it outperforms MSC especially when the requested VMs are small.
  • Keywords
    cloud computing; computational complexity; computer centres; failure analysis; optical fibre networks; optical interconnections; probability; resource allocation; virtual machines; DC; ILP formulation; MSC; NP-complete MFRA problem; RDS; VM; minimum SRG cover; minimum failure resource allocation problem; optical network virtulization; optically interconnected clouds; optically interconnected data centers; reliable DC selection; resource allocation; time complexity; total failure probability; virtual machines; weighted SRG; Delays; Heuristic algorithms; Indexes; Network topology; Optical fiber networks; Reliability; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037132
  • Filename
    7037132