The Vision of Autonomic Computing
Computer
Dynamic, Adaptive and Reconfigurable Systems Overview and Prospective Vision
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Introduction: Service-oriented computing
Communications of the ACM - Service-oriented computing
Computer
Providing Data Transfer with QoS as Agreement-Based Service
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
A framework for adaptive execution in grids
Software—Practice & Experience
QoS support for high-performance scientific Grid applications
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
A Generic QoS Infrastructure for Grid Web Services
AICT-ICIW '06 Proceedings of the Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services
SLAWs: Towards a Conceptual Architecture for SLA Enforcement
SERVICES '08 Proceedings of the 2008 IEEE Congress on Services - Part I
SCC '09 Proceedings of the 2009 IEEE International Conference on Services Computing
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Towards SLA-Supported resource management
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
Dynamic adaptation for grid computing
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
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Enforcing SLAs (Service Level Agreements) for services deployed on large-scale distributed infrastructures, such as grids and clouds, is complex owing to fluctuating customer demand and unpredictable resource availability. Current systems either address specific application domains or fail to provide a complete QoS assurance solution. This work proposes a generic framework to assist service providers in enforcing quality properties in distributed environments. The framework provides a rich set of QoS management functions, including negotiation, translation, and resource provisioning. Importantly, the framework supports dynamic adaptation; that is, it automatically modifies service behavior and resource usage in order to maintain agreed service levels while satisfying service provider-specific constraints. We have implemented an initial prototype in a grid environment and demonstrated its effectiveness in minimizing SLA violations.