NDLI: A Time and Cost-Based Matching Strategy for Data Parallelizable Tasks of Grid Workflows

Content Provider	IEEE Xplore Digital Library
Author	Ranaldo, N. Zimeo, E.
Copyright Year	2007
Description	Author affiliation: Univ. of Sannio, Benevento (Ranaldo, N.)
Abstract	Efficient exploitation of grids for running scientific workflows could benefit of resource brokering systems to automatically and transparently allocate tasks to available resources in the Internet granting the fulfillment of functional and QoS constraints. Existing works typically do not deal with business models to map tasks to resources. Since the service oriented approach is fostering a new vision of grid computing, economic aspects will become key factors to burst the adoption of computing as a utility. This paper presents a time and cost-constrained matching strategy that, according to the data parallelism pattern, is able to deploy a scientific workflow task on a pool of resources selected with the aim of minimizing its execution time. The strategy was implemented in a grid broker and its validity was experimentally analyzed with a real grid of clusters and workstations.
Starting Page	295
Ending Page	303
File Size	333338
Page Count	9
File Format	PDF
ISBN	9780769530642
DOI	10.1109/E-SCIENCE.2007.9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system simulation Quality of service Power system planning Parallel processing Strategic planning Grid computing Resource management Power system security Environmental economics Pattern matching
Content Type	Text
Resource Type	Article

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