DocumentCode :
2839617
Title :
VirtualKnotter: Online Virtual Machine Shuffling for Congestion Resolving in Virtualized Datacenter
Author :
Wen, Xitao ; Chen, Kai ; Chen, Yan ; Liu, Yongqiang ; Xia, Yong ; Hu, Chengchen
Author_Institution :
Northwestern Univ., Evanston, IL, USA
fYear :
2012
fDate :
18-21 June 2012
Firstpage :
12
Lastpage :
21
Abstract :
Our measurements on production data center traffic together with recently reported results suggest that data center networks suffer from long-lived congestion caused by core network over subscription and unbalanced workload placement. In contrast to traditional traffic engineering approaches that optimize flow routing, in this paper, we explore the opportunity to address the continuous congestion via optimizing VM placement in virtualized data centers. To this end, we present Virtual Knotter, an efficient online VM placement algorithm to reduce congestion with controllable VM migration traffic as well as low time complexity. Our evaluation with both real and synthetic traffic patterns shows that Virtual Knotter performs close to the baseline algorithm in terms of link unitization, with only 5%-10% migration traffic of the baseline algorithm. Furthermore, Virtual Knotter decreases link congestion time by 53% for the production data center traffic.
Keywords :
computer centres; virtual machines; virtual reality; VM migration traffic; VirtualKnotter; baseline algorithm; continuous congestion; core network; data center networks; flow routing; link congestion; online VM placement algorithm; online virtual machine shuffling; production data center traffic; synthetic traffic pattern; time complexity; traffic engineering; unbalanced workload placement; virtualized data center; virtualized datacenter; Clustering algorithms; Heuristic algorithms; Optimization; Partitioning algorithms; Production; Routing; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2012 IEEE 32nd International Conference on
Conference_Location :
Macau
ISSN :
1063-6927
Print_ISBN :
978-1-4577-0295-2
Type :
conf
DOI :
10.1109/ICDCS.2012.25
Filename :
6257974
Link To Document :
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