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Enabling Adaptive Grid Scheduling and Resource Management

Lazarevic, A.; Prnjat, O.; Sacks, L.; (2005) Enabling Adaptive Grid Scheduling and Resource Management. Presented at: 9th IFIP/IEEE International Symposium on Integrated Network Management (IM 2005), Nice, France. Green open access

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Abstract

Wider adoption of the Grid concept has led to an increasing amount of federated computational, storage and visualisation resources being available to scientists and researchers. Distributed and heterogeneous nature of these resources renders most of the legacy cluster monitoring and management approaches inappropriate, and poses new challenges in workflow scheduling on such systems. Effective resource utilisation monitoring and highly granular yet adaptive measurements are prerequisites for a more efficient Grid scheduler. We present a suite of measurement applications able to monitor per-process resource utilisation, and a customisable tool for emulating observed utilisation models. We also outline our future work on a predictive and probabilistic Grid scheduler. The research is undertaken as part of UK e-Science EPSRC sponsored project SO-GRM (Self-Organising Grid Resource Management) in cooperation with BT.

Type: Conference item (Presentation)
Title: Enabling Adaptive Grid Scheduling and Resource Management
Event: 9th IFIP/IEEE International Symposium on Integrated Network Management (IM 2005)
Location: Nice, France
Dates: 15 - 19 May, 2005
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.ieee-im.org/2005/confprog.html
Language: English
Keywords: Grid, scheduling, resource monitoring, resource management, self-organising management
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/5086
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