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Predictive resource management for meta-applications

Predictive resource management for meta-applications
Predictive resource management for meta-applications
This paper defines meta-applications as large, related collections of computational tasks, designed to achieve a specific overall result, running on a (possibly geographically) distributed, non-dedicated meta-computing platform. To carry out such applications in an industrial context, one requires resource management and job scheduling facilities (including capacity planning), to ensure that the application is feasible using the available resources, that each component job will be sent to an appropriate resource, and that everything will finish before the computing resources are needed for other purposes.
723-734
Floros, N
218f07c0-d7be-4e3e-8fb1-cf4382fe6919
Hey, A J G
49644792-8339-456a-9363-56d248ff04aa
Meacham, K E
3d0e5c6b-8a98-4f2f-be51-aef0dad61fa5
Papay, J
21652b35-de29-439c-b343-cb3437ef2f9e
Surridge, M
3bd360fa-1962-4992-bb16-12fc4dd7d9a9
Hertzberger, L O
81fde430-1bb4-47de-ab11-2c70baff729e
Sloot, P M A
6c4df467-58d5-4e12-8b7e-2a917bb95a38
Floros, N
218f07c0-d7be-4e3e-8fb1-cf4382fe6919
Hey, A J G
49644792-8339-456a-9363-56d248ff04aa
Meacham, K E
3d0e5c6b-8a98-4f2f-be51-aef0dad61fa5
Papay, J
21652b35-de29-439c-b343-cb3437ef2f9e
Surridge, M
3bd360fa-1962-4992-bb16-12fc4dd7d9a9
Hertzberger, L O
81fde430-1bb4-47de-ab11-2c70baff729e
Sloot, P M A
6c4df467-58d5-4e12-8b7e-2a917bb95a38

Floros, N, Hey, A J G, Meacham, K E, Papay, J and Surridge, M , Hertzberger, L O and Sloot, P M A (eds.) (1999) Predictive resource management for meta-applications. Future Generation Computer Systems, 15, 723-734.

Record type: Article

Abstract

This paper defines meta-applications as large, related collections of computational tasks, designed to achieve a specific overall result, running on a (possibly geographically) distributed, non-dedicated meta-computing platform. To carry out such applications in an industrial context, one requires resource management and job scheduling facilities (including capacity planning), to ensure that the application is feasible using the available resources, that each component job will be sent to an appropriate resource, and that everything will finish before the computing resources are needed for other purposes.

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Published date: 1999
Organisations: Electronics & Computer Science, IT Innovation

Identifiers

Local EPrints ID: 252574
URI: http://eprints.soton.ac.uk/id/eprint/252574
PURE UUID: 4bafd2d3-97bc-4418-ba25-c471c9cff92b

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Date deposited: 24 Mar 2003
Last modified: 02 Dec 2019 21:12

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