DocumentCode :
266208
Title :
To migrate or to wait: Delay-cost tradeoff for cloud data centers
Author :
Xiumin Wang ; Xiaoming Chen ; Chau Yuen ; Weiwei Wu ; Wei Wang
Author_Institution :
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
2314
Lastpage :
2319
Abstract :
To upgrade the systems or fix the security issues, some physical machines (PMs) in data centers are required to undergo a maintenance process, which might disable the continuous services of the virtual machines (VMs) run on them for a few time slots. To reduce the waiting delay, one may migrate the VMs to other active PMs. However, it will incur extra migration cost, e.g., bandwidth or memory used to move data. To balance the tradeoff between delay and migration cost, we formulate a two-objective optimization problem, which minimizes both delay and migration cost according to a certain weightage, so as to decide whether the VMs should be migrated to other active PMs or should wait their own maintained PMs to be back. We first prove that the proposed problem is NP-hard. For a special case, where each VM requires the same size of resource, we show that the defined problem can be converted to minimum weighted bipartite matching problem in an auxiliary bipartite graph. A lower bound of the delay is derived for a specific setting. For the general case of the problem, we also design an efficient heuristic algorithm. Finally, simulation results demonstrate the effectiveness of the proposed scheme.
Keywords :
cloud computing; computer centres; delays; graph theory; pattern matching; security of data; virtual machines; PM; auxiliary bipartite graph; cloud data centers; continuous services; delay-cost tradeoff; maintenance process; minimum weighted bipartite matching problem; physical machines; security issues; two-objective optimization problem; virtual machines; Algorithm design and analysis; Bipartite graph; Delays; Educational institutions; Heuristic algorithms; Maintenance engineering; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037153
Filename :
7037153
Link To Document :
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