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
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