Future Generation Computer Systems - Special issue on metacomputing
Fuzzy Control
On Expressing and Monitoring Behaviour in Contracts
EDOC '02 Proceedings of the 6th International Enterprise Distributed Object Computing Conference
Towards Formal Modeling of e-Contracts
EDOC '01 Proceedings of the 5th IEEE International Conference on Enterprise Distributed Object Computing
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
Specifying and Monitoring Guarantees in Commercial Grids through SLA
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
NetLogger: A Toolkit for Distributed System Performance Analysis
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
A Service Level Agreement Language for Dynamic Electronic Services
WECWIS '02 Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS'02)
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Service-Level Agreements and Commercial Grids
IEEE Internet Computing
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Differentiated QoS in grids supported by SLAs
Proceedings of the Workshop on Posters and Demos Track
Negotiation strategies for grid scheduling
GPC'06 Proceedings of the First international conference on Advances in Grid and Pervasive Computing
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This paper presents an architecture for specifying, monitoring and validating Service Level Agreements (SLA) for use in Grid environments. SLAs are an essential component in building Grid systems where commitments and assurances are specified, implemented and monitored. Targeting compute resources, an SLA manager reserves resources for user applications requiring resources on demand. Methods for automated monitoring and violation capture are discussed showing how Service Level Objectives (SLO) can be validated. A SLA for a compute service is specified and experiments carried out on the White Rose Grid. Results are presented in the form of a SLA document and show the violations that were captured during task execution.