NDLI: Towards autonomic workload provisioning for enterprise Grids and clouds

Content Provider	IEEE Xplore Digital Library
Author	Quiroz, A. Hyunjoo Kim Parashar, M. Gnanasambandam, N. Sharma, N.
Copyright Year	2009
Description	Author affiliation: NSF Center for Autonomic Computing, Department of Electrical & Computer Engineering, Rutgers, The State University of New Jersey (Quiroz, A.; Hyunjoo Kim; Parashar, M.) \|\| Xerox Research, Xerox Corporation, Webster, NY, USA (Gnanasambandam, N.; Sharma, N.)
Abstract	This paper explores autonomic approaches for optimizing provisioning for heterogeneous workloads on enterprise Grids and clouds. Specifically, this paper presents a decentralized, robust online clustering approach that addresses the distributed nature of these environments, and can be used to detect patterns and trends, and use this information to optimize provisioning of virtual (VM) resources. It then presents a model-based approach for estimating application service time using long-term application performance monitoring, to provide feedback about the appropriateness of requested resources as well as the system's ability to meet QoS constraints and SLAs. Specifically for high-performance computing workloads, the use of a quadratic response surface model (QRSM) is justified with respect to traditional models, demonstrating the need for application-specific modeling. The proposed approaches are evaluated using a real computing center workload trace and the results demonstrate both their effectiveness and cost-efficiency.
Starting Page	50
Ending Page	57
File Size	680314
Page Count	8
File Format	PDF
ISBN	9781424451487
DOI	10.1109/GRID.2009.5353066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Virtual manufacturing Cloud computing Resource management Grid computing Resource virtualization Voice mail Costs Delay Electronic mail Robustness
Content Type	Text
Resource Type	Article

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