The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
The Legion Resource Management System
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
GriPhyN and LIGO, Building a Virtual Data Grid for Gravitational Wave Scientists
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Feedback Control of Computing Systems
Feedback Control of Computing Systems
From Sandbox to Playground: Dynamic Virtual Environments in the Grid
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
A static resource allocation framework for Grid-based streaming applications: Research Articles
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
Virtual Clusters for Grid Communities
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Feedback-controlled resource sharing for predictable eScience
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
The Big Switch: Rewiring the World, from Edison to Google
The Big Switch: Rewiring the World, from Edison to Google
An integrated resource management and scheduling system for grid data streaming applications
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Using fuzzy control to maximize profits in service level management
IBM Systems Journal
A control-based middleware framework for quality-of-service adaptations
IEEE Journal on Selected Areas in Communications
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Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model is hard to be derived. In relation to the model free characteristic, a fuzzy logic controller is designed with several simple yet robust rules. Performance of this controller is verified to out-perform classic controllers in response rapidness and less oscillation. An empirical formula on tuning an essential parameter is obtained to achieve better performance.