NDLI: Statistical service assurances for applications in utility grid environments

Content Provider	IEEE Xplore Digital Library
Author	Rolia, J. Xiaoyun Zhu Arlitt, M. Andrzejak, A.
Copyright Year	2002
Description	Author affiliation: Internet Syst. & Storage Lab., Hewlett-Packard Labs., Palo Alto, CA, USA (Rolia, J.; Xiaoyun Zhu; Arlitt, M.; Andrzejak, A.)
Abstract	We focus on techniques to support admission control and advance resource reservation for applications acquiring information technology (IT) resources from utility grid environments. Utility grid environments offer programmatic access to resources for complex multi-tier applications. In particular we consider business applications which require resources continuously but that have resource demands that change regularly based on factors such as time of day and day of week. We present a statistical demand profile approach for characterizing time varying application resource requirements along with a method that provides statistical assurances regarding the number of resources needed to satisfy the combined requirements of many applications over time. We illustrate the feasibility of our approach with a case study that uses resource utilization information from 48 data center servers. Simulation experiments explore the sensitivity of the assurances to correlations between application resource demands and the precision of the demand profiles.
Sponsorship	IEEE Computer. Soc. Tech. Committee on Computer Architecture IEEE Comput. Soc. Tech. Committee on Simulation ACM SIGSIM ACM SIGARCH
Starting Page	247
Ending Page	256
File Size	455149
Page Count	10
File Format	PDF
ISBN	0769518400
ISSN	15267539
DOI	10.1109/MASCOT.2002.1167084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Grid computing Admission control Application software Computational modeling Web and internet services Information technology Computer applications Workstations Scheduling
Content Type	Text
Resource Type	Article

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