The Vision of Autonomic Computing
Computer
Towards Convergence in Job Schedulers for Parallel Supercomputers
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
Enabling the autonomic data center with a smart bare-metal server platform
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
A QoS assurance framework for distributed infrastructures
Proceedings of the 3rd International Workshop on Monitoring, Adaptation and Beyond
SMaRT: a workbench for reporting the monitorability of services from SLAs
Proceedings of the 3rd International Workshop on Principles of Engineering Service-Oriented Systems
Enabling dynamic data centers with a smart bare-metal server platform
Cluster Computing
International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications
International Journal of Distributed Systems and Technologies
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Achievements and experiences in projects with focus on resource management have shown that the goals and needs of High Performance Computing service providers have not or only inadequately been taken into account in Grid research and development. Mapping real-life business behaviour and workflows within the service provider domain to the electronic level implies focusing on the business rules of the provider as well as on the complexity of the jobs and the current state of the HPC system. This paper describes an architectural approach towards a business-oriented and Service Level Agreement-supported resource management, valuable for High Performance Computing providers to offer and sell their services. With the introduction of a Conversion Factory the authors present a component that is able to combine the Service Level Agreement, the system status, and all business objectives of the provider in order to address the business needs of service providers in the Grid.