A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Design and Evaluation of a Resource Selection Framework for Grid Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
SODA: A Service-On-Demand Architecture for Application Service Hosting Utility Platforms
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Optimal Resource Assignment in Internet Data Centers
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Service-Level Agreements and Commercial Grids
IEEE Internet Computing
Web services on demand: WSLA-driven automated management
IBM Systems Journal
Distributed Ant: A System to Support Application Deployment in the Grid
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
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
Design and implementation of an OGSI-compliant Grid broker service
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Continuous resources allocation in Internet data centers
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
An approach to modeling Web service QoS and provision price
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
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With the evolution of Grid technology, the quality of service assurance includes service level agreement and attainment is becoming more and more important. There is strong correlation between the resource allocation and the service level guarantee in the grid environment. And the large traffic variations of grid service complex the resource allocation. In this paper, we formally define and analyze these relationships and present a constrained mathematical model for resource allocation. Moreover, we show how to integrate this model into the online system of on-demand resource allocation which can guarantee the service level to compensate environmental changes. The simulation results show that our model and solution are practical and efficient.