Load Balancing White Papers
Grid Load Balancing Using Intelligent Agents
Overview Workload and resource management are essential functionalities in the software infrastructure for grid computing. The management and scheduling of dynamic grid resources in a scalable way requires new technologies to implement a next generation intelligent grid environment. This work demonstrates that AI technologies can be utilised to achieve effective workload and resource management. A combination of intelligent agents and multi-agent approaches is applied for both local grid resource scheduling and global grid load balancing. Each agent is a representative of a local grid resource and utilises predictive application performance data and iterative heuristic algorithms to engineer local load balancing across multiple hosts. At a higher level of the global grid, agents cooperate with each other to balance workload using a peer-to-peer service advertisement and discovery mechanism.
| Publisher | The University of Warwick | File Format | PDF, requires Acrobat Rdr 5 |
|---|---|---|---|
| Date Published | March 2004 | Downloads | 223 |
| Format | White Papers | ||
| Topics | |||
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