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Measuring Fragmentation of Two-Dimensional Resources Applied to Advance Reservation Grid Scheduling

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2 Author(s)
Gehr, J. ; Tech. Univ. Berlin, Berlin ; Schneider, J.

Whenever a resource allocation fails although enough free capacity being available, fragmentation is easily spotted as cause. But how the fragmentation in a system requiring continuous allocations like time schedules or memory can be quantified is hardly analyzed. A Grid environment using advance reservation even combines two-dimensions: time and resource dimension. In this paper a new way to measure the fragmentation of a system in one dimension is proposed. This measure is then extended to incorporate also the second dimension. Extensive simulations showed that the proposed fragmentation measure is a good indicator of the state of the system.

Published in:

Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on

Date of Conference:

18-21 May 2009