DocumentCode :
62577
Title :
Least Maintenance Batch Scheduling in Cloud Data Center Networks
Author :
Zeyu Zheng ; Jinfan Wang ; Jing Ren ; Weigang Hou ; Jianping Wang
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Volume :
18
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
901
Lastpage :
904
Abstract :
Nowadays, to efficiently safeguard the uptime of data centers, system-scale preventive maintenance is necessary. If all servers are under maintenance at the same time, it will completely disrupt the service continuity of all virtual machines that run over servers, thus it necessitates the proposition of an appropriate multi-batch scheme in which during each batch only a partial set of servers are maintained, leaving the remaining servers still on to fully support the virtual machine operations. To enable the cost-saving multi-batch scheme, in this letter, we aim to minimize the total number of batches to implement the system-scale maintenance, meanwhile guaranteeing the system service continuity. We propose a novel heuristic to solve the problem which can well achieve the problem lower bound.
Keywords :
cloud computing; computer centres; preventive maintenance; scheduling; virtual machines; cloud data center networks; least maintenance batch scheduling; multibatch scheme; server maintenance; system-scale preventive maintenance; virtual machines; Cloud computing; Data models; Heuristic algorithms; Maintenance engineering; Servers; Virtual machining; Cloud data center; maintenance batch; virtual machine (VM);
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2014.2314671
Filename :
6782726
Link To Document :
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