NDLI: A power efficient persistent storage consolidation algorithm for cloud computing

Content Provider	IEEE Xplore Digital Library
Author	Galloway, J.M. Vrbsky, S.V.
Copyright Year	2012
Description	Author affiliation: Computer Science Department, The University of Alabama, USA (Galloway, J.M.; Vrbsky, S.V.)
Abstract	Persistent data storage is a necessity in local cloud computing architectures. This research investigates how these architectures can reduce their energy consumption by dynamically scaling the number of storage nodes needed to accommodate user's needs. While a user is actively using cloud computational resources, their accommodating persistent data is stored on hot storage nodes that are powered on. Inactive users have their persistent data stored on powered down, cold storage nodes. Design of the proposed cloud architecture considers network throughput and storage capacity of storage nodes a priority. This paper introduces a persistent data consolidation algorithm with decreased power consumption. As the cloud architecture increases in size, the power savings are compounded. Also, since consideration is given to decreasing power consumption, this paper addresses the data latency tradeoff of the proposed consolidation scheme.
Starting Page	1
Ending Page	6
File Size	335307
Page Count	6
File Format	PDF
ISBN	9781467321556
e-ISBN	9781467321549
e-ISBN	9781467321532
DOI	10.1109/IGCC.2012.6322246
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Power consumption Government Process control Computer architecture Low power Resource consolidation
Content Type	Text
Resource Type	Article

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