A Workflow Engine-Driven SOA-Based Cooperative Computing Paradigm in Grid Environments
International Journal of High Performance Computing Applications
A collaborative scheduling approach for service-driven scientific workflow execution
Journal of Computer and System Sciences
SLA enabled CARE resource broker
Future Generation Computer Systems
Wireless Personal Communications: An International Journal
Experiences in running workloads over grid3
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Problems for resource brokering in large and dynamic grid environments
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
Decentralized scalable fairshare scheduling
Future Generation Computer Systems
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Challenging usage policy issues can arise within virtual organizations (VOs) that integrate participants and resources spanning multiple physical institutions. Participants may wish to delegate to one or more VOs the right to use certain resources subject to local policy and service level agreements; each VO then wishes to use those resources subject to VO policy. How are such local and VO policies to be expressed, discovered, interpreted, and enforced? As a first step to addressing these questions, we develop and evaluate policy management solutions within a specialized context, namely scientific data grids within which the resources to be shared are computers and storage. We propose an architecture and recursive policy model, and define roles and functions, for scheduling resources in grid environments while satisfying resource owner and VO policies.