Engineering grid applications and middleware for high performance
WOSP '07 Proceedings of the 6th international workshop on Software and performance
SLA-Based Advance Reservations with Flexible and Adaptive Time QoS Parameters
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
Achieving efficiency, quality of service and robustness in multi-organizational Grids
Journal of Systems and Software
A framework for providing hard delay guarantees and user fairness in Grid computing
Future Generation Computer Systems
Rescheduling co-allocation requests based on flexible advance reservations and processor remapping
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Business-driven short-term management of a hybrid IT infrastructure
Journal of Parallel and Distributed Computing
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Providing QoS guarantees to the applications in a multi-institutional Grid is a challenging task. Although advance reservations (ARs) can provide QoS guarantees for the applications, they often seriously degrade system performance for resource owners. In this paper, we present a framework for AR based resource sharing that not only provides QoS guarantees for the applications but also ensures high utilization of the resources. This paper focuses on the application-to-resource mapping component of the framework as our results show that traditional mapping algorithms used with best effort jobs do not perform well for ARs. The paper proposes a set of algorithms for mapping ARs and investigates their performance in detail. The paper then presents a novel algorithm that outperforms a number of other algorithms in almost every respect for a wide range of workload parameters. Rigorous experimentation proves the efficacy of our algorithm and brings important insights into the dynamics of the system.