Grid computing is about allocating distributed collections of resources including computers, storage systems, networks and instruments to form a coherent system devoted to a “vir...
Dennis Gannon, Beth Plale, Marcus Christie, Liang ...
is a planning framework for mapping abstract workflows for execution on the Grid. This paper presents the implementation of a web-based portal for submitting workflows to the Grid...
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
Spencer K. White, Tony R. Martinez, George L. Rudo...
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
This paper presents new mechanisms for dynamic resource management in a cluster manager called Clusteron-Demand (COD). COD allocates servers from a common pool to multiple virtual...
Jeffrey S. Chase, David E. Irwin, Laura E. Grit, J...