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Grid Capacity Planning with Negotiation-based Advance Reservation forOptimized QoS

Advance reservation of Grid resources can play a key role in enabling Grid middleware to deliver on-demand resource provision with significantly improved Quality-of-Service (QoS). However, in the Grid, advance reservation has been largely ignored due to the dynamic Grid behavior, under-utilization concerns, multi-constrained applications, and lack of support for agreement enforcement. These issues force the Grid middleware to make resource allocations at runtime with reduced QoS. To remedy these, we introduce a new, 3-layered negotiation protocol for advance reservation of the Grid resources. We model resource allocation as an on-line strip packing problem and introduce a new mechanism that optimizes resource utilization and QoS constraints while generating the contention-free solutions. The mechanism supports open reservations to deal with the dynamic Grid and provides a practical solution for agreement enforcement. We have implemented a prototype and performed experiments to demonstrate the effectiveness of our approach.

Mumtaz Siddiqui, Alex Villazon, and Thomas Fahringer. Grid Capacity Planning with Negotiation-based Advance Reservation for Optimized QoS. In Proceedings of the 2006 ACM/IEEE Conference on Supercomputing SC|06. (November 11 – 17, 2006 Tampa, USA). Conference on High Performance Networking and Computing. IEEE Computer Society

Electronic edition IEEE Computer SocietySuper Computing, electronic edition ACM


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