DocumentCode
131809
Title
Decentralizing the cloud: How can small data centers cooperate?
Author
Hao Zhuang ; Rahman, Raziur ; Aberer, Karl
Author_Institution
LSIR, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear
2014
fDate
8-12 Sept. 2014
Firstpage
1
Lastpage
10
Abstract
Cloud computing has become pervasive due to attractive features such as on-demand resource provisioning and elasticity. Most cloud providers are centralized entities that employ massive data centers. However, in recent times, due to increasing concerns about privacy and data control, many small data centers (SDCs) established by different providers are emerging in an attempt to meet demand locally. However, SDCs can suffer from resource in-elasticity due to their relatively scarce resources, resulting in a loss of performance and revenue. In this paper we propose a decentralized cloud model in which a group of SDCs can cooperate with each other to improve performance. Moreover, we design a general strategy function for the SDCs to evaluate the performance of cooperation based on different dimensions of resource sharing. Through extensive simulations using a realistic data center model, we show that the strategies based on reciprocity are more effective than other involved strategies, e.g., those using prediction on historical data. Our results show that the reciprocity-based strategy can thrive in a heterogeneous environment with competing strategies.
Keywords
cloud computing; computer centres; resource allocation; SDC; cloud computing; cooperation performance; decentralized cloud model; heterogeneous environment; on-demand resource provisioning; reciprocity-based strategy; resource in-elasticity; resource sharing dimension; small data centers; Computational modeling; History; Law; Peer-to-peer computing; Predictive models; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Peer-to-Peer Computing (P2P), 14-th IEEE International Conference on
Conference_Location
London
Print_ISBN
978-1-4799-6200-6
Type
conf
DOI
10.1109/P2P.2014.6934303
Filename
6934303
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