Grid capacity planning with negotiation-based advance reservation for optimized QoS
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
SLA-Based Advance Reservations with Flexible and Adaptive Time QoS Parameters
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
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
On the placement of reservations into job schedules
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
List-based Data Structures for Efficient Management of Advance Reservations
International Journal of Parallel Programming
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We present a scheme for reserving job resources with imprecise requests. Typical parameters such as the estimated runtime, the start time or the type or number of required CPUs need not be fixed at submission time but can be kept fuzzy in some aspects. Users may specify a list of preferences which guide the system in determining the best matching resources for the given job. Originally, the impetus for our work came from the need for efficient co-reservation mechanisms in the Grid where rigid constraints on multiple job components often make it difficult to find a feasible solution. Our method for handling fuzzy reservation requests gives the users more freedom to specify the requirements and it gives the Grid Reservation Service more flexibility to find optimal solutions. In the future, we will extend our methods to process co-reservations. We evaluated our algorithms with real workload traces from a large supercomputer site. The results indicate that our scheme greatly improves the flexibility of the solution process without having much affect on the overall workload of a site. From a user's perspective, only about 10% of the non-reservation jobs have a longer response time, and from a site administrator's view, the makespan of the original workload is extended by only 8% in the worst case. Copyright © 2006 John Wiley & Sons, Ltd.