The memory fragmentation problem: solved?
Proceedings of the 1st international symposium on Memory management
Dynamic Storage Allocation: A Survey and Critical Review
IWMM '95 Proceedings of the International Workshop on Memory Management
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
yFS: A Journaling File System Design for Handling Large Data Sets with Reduced Seeking
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
The virtual resource manager: an architecture for SLA-aware resource management
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Heuristic Scheduling of Grid Workflows Supporting Co-Allocation and Advance Reservation
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
File system logging versus clustering: a performance comparison
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
Scalability in the XFS file system
ATEC '96 Proceedings of the 1996 annual conference on USENIX Annual Technical Conference
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Improving Grid Resource Usage: Metrics for Measuring Fragmentation
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
On the Improvement of Grid Resource Utilization: Preventive and Reactive Rescheduling Approaches
Journal of Grid Computing
List-based Data Structures for Efficient Management of Advance Reservations
International Journal of Parallel Programming
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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.