Numerical Methods for Engineers: With Software and Programming Applications
Numerical Methods for Engineers: With Software and Programming Applications
Specifying and Monitoring Guarantees in Commercial Grids through SLA
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Grid resource management: state of the art and future trends
Grid resource management: state of the art and future trends
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Distributed and Heuristic Policy-Based Resource Management System for Large-Scale Grids
AIMS '07 Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management
Service Load Balancing with Autonomic Servers: Reversing the Decision Making Process
AIMS '08 Proceedings of the 2nd international conference on Autonomous Infrastructure, Management and Security: Resilient Networks and Services
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This paper describes a dynamic, scalable and flexible Policy-based Management Architecture (PbMA), which is characterized by a reliable and autonomous deployment, activation and management of Grid Services. This architecture follows the implied conditions by the Open Grid Services Architecture (OGSA) standard. Although applicable to any user profiles, our system is essentially intended for non-massive resource owners accessing large amounts of computing, software, memory and storage resources. Unlike similar architectures, it is able to manage service requirements demanded by users, providers and services themselves. This architecture is also able to manage computational resources in order to fulfill Quality of Service (QoS) requirements, based on a balanced scheduling of resources exploitation. Our approach is scalable and flexible by extending itself the management components and policies interpreters needed to control multiple infrastructures regardless network technology, operative platform or administrative domain. The management architecture shows its reliability through a Grid Service deployment example.