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
Link To Document :
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