Autonomic QoS-Aware resource management in grid computing using online performance models
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Autonomic QoS control in enterprise Grid environments using online simulation
Journal of Systems and Software
Network-aware service placement and selection algorithms on large-scale overlay networks
Computer Communications
Implementation and evaluation of a middleware for self-organizing decentralized web services
SelfMan'06 Proceedings of the Second IEEE international conference on Self-Managed Networks, Systems, and Services
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We present a decentralized design that dynamically allocates resources to multiple services inside a global server cluster. The design supports QoS objectives (maximum response time and maximum loss rate) for each service. A system administrator can modify policies that assign relative importance to services and, in this way, control the resource allocation process. Distinctive features of our design are the use of an epidemic protocol to disseminate state and control information, as well as the decentralized evaluation of utility functions to control resource partitioning among services. Simulation results show that the system operates both effectively and efficiently; it meets the QoS objectives and dynamically adapts to load changes and to failures. In case of overload, the service quality degrades gracefully, controlled by the cluster policies.