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Abstract: Computational Grid projects are ushering in an environment where clients make use of resources and services that are far too expensive for single clients to manage or maintain. Clients compose a megaprogram with services offered by outside organizations. However, the benefits of this paradigm come with a loss of control over job execution with added uncertainty about job completion. Current techniques for scheduling distributed services do not simultaneously account for autonomous service... (Update)
Context of citations to this paper: More
.... a richer model of result extraction, finer grained scheduling becomes possible, and new optimization techniques present themselves [23]. A comprehensive model for result extraction should consider and account for all major result extraction techniques and functionalities,...
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BibTeX entry: (Update)
P. Keyani, N. Sample, and G. Wiederhold. Scheduling Under Uncertainty: Planning for the Ubiquitous Grid, technical report, Stanford Database Group. http://citeseer.ist.psu.edu/sample02scheduling.html More
@inproceedings{ sample02scheduling,
author = "Neal Sample and Pedram Keyani and Gio Wiederhold",
title = "Scheduling under Uncertainty: Planning for the Ubiquitous Grid",
booktitle = "Coordination Models and Languages",
pages = "300-316",
year = "2002",
url = "citeseer.ist.psu.edu/sample02scheduling.html" }
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1 An Alternative Model for Scheduling on a Computational Grid - Marinescu, Blni et al. - 1998
1 B.M. Making a Commitment to Next Phase of the Internet (context) - Lohr - 2001
Documents on the same site (http://www.stanford.edu/~pkeyani/publications/):
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