Design and implementations of Ninf: towards a global computing infrastructure
Future Generation Computer Systems - Special issue on metacomputing
Predictive Application-Performance Modeling in a Computational Grid Environment
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
A Study of Deadline Scheduling for Client-Server Systems on the Computational Grid
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
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Recently, there has been considerable interest in providing high performance codes as network services. In particular, high performance network services provide improved performance by executing complex and time-consuming applications (or part of an application) on remote high performance resources. However, since service providers resources are limited, without effective resource scheduling, end-users will not experience performance improvement. In this paper, we propose adaptive resource harvesting algorithms to schedule multiple concurrent service requests within network services. The preliminary results show that our approach can achieve service time improvement up to 40% for a prototypical parallel service.