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Cluster Computing
Erschienen in: Cluster Computing 1/2015

01.03.2015

Energy-efficient data replication in cloud computing datacenters

verfasst von: Dejene Boru, Dzmitry Kliazovich, Fabrizio Granelli, Pascal Bouvry, Albert Y. Zomaya

Erschienen in: Cluster Computing | Ausgabe 1/2015

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Abstract

Cloud computing is an emerging paradigm that provides computing, communication and storage resources as a service over a network. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication which brings data (e.g., databases) closer to data consumers (e.g., cloud applications) is seen as a promising solution. It allows minimizing network delays and bandwidth usage. In this paper we study data replication in cloud computing data centers. Unlike other approaches available in the literature, we consider both energy efficiency and bandwidth consumption of the system. This is in addition to the improved quality of service QoS obtained as a result of the reduced communication delays. The evaluation results, obtained from both mathematical model and extensive simulations, help to unveil performance and energy efficiency tradeoffs as well as guide the design of future data replication solutions.
Vorheriger Artikel Scaling up MapReduce-based Big Data Processing on Multi-GPU systems
Nächster Artikel Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences

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Metadaten
Titel
Energy-efficient data replication in cloud computing datacenters
verfasst von
Dejene Boru
Dzmitry Kliazovich
Fabrizio Granelli
Pascal Bouvry
Albert Y. Zomaya
Publikationsdatum
01.03.2015
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 1/2015
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-014-0404-x

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