Abstra t. The use of agent based servi es in a Computational Grid is outlinedalong with parti ular roles that these agents undertake. Reasons why agents provide the most natural abstra tion for managing and supporting Grid servi es is also dis ussed. Agent servi es are divided into two broad ategories: (1) infrastru ture servi es, and (2) appli ation servi es. Infrastru ture servi es are provided by existing Grid management systems, su h as Globus and Legion, and appli ation servi es by intelligent agents. Usage s enarios are provided to demonstrate the on epts involved. 1. Introdu tion and Related Work. There has been an in rease in interest re ently within the Grid ommunity [11 ℄ towards Servi e Oriented Computing. Servi es are often s...
Abstract. We are developing an agent-based intelligent middleware for the Grid. It is based on agent...
Scalable management and scheduling of dynamic grid resources requires new technologies to build the ...
Abstract- Grid computing has emerged as a viable method to solve computational and data-intensive pr...
The use of agent based services in a Computational Grid is outlined—along with particular roles that...
The semantic grid is the result of semantic web and grid researchers building bridges in recognition...
We emphasise and briefly review existing infrastructure required to realise the Computational Grid, ...
Abstract. one of the key reasons for developing Grid Computing is to enable an engineer to use a hig...
ABSTRACT Establishing grids is an important undertaking in developing scalable distributed infrastru...
The Grid and agent communities both develop concepts and mechanisms for open distributed systems, al...
Grid computing offers significant enhancements to our capabilities for computation, information proc...
The semantic grid refers to an approach to grid computing in which information, computing resources ...
Addressing the requirements of academic end users, the Grid paradigm and its underlying technologi...
The GRID and MAS (Multi-Agent Systems) communities believe in the potential of GRID and MAS to enhan...
The agent paradigm has been successfully used in a large number of research areas. MAPFS, a parallel...
23 pagesOne of the important claims that permeate the current view of information management is that...
Abstract. We are developing an agent-based intelligent middleware for the Grid. It is based on agent...
Scalable management and scheduling of dynamic grid resources requires new technologies to build the ...
Abstract- Grid computing has emerged as a viable method to solve computational and data-intensive pr...
The use of agent based services in a Computational Grid is outlined—along with particular roles that...
The semantic grid is the result of semantic web and grid researchers building bridges in recognition...
We emphasise and briefly review existing infrastructure required to realise the Computational Grid, ...
Abstract. one of the key reasons for developing Grid Computing is to enable an engineer to use a hig...
ABSTRACT Establishing grids is an important undertaking in developing scalable distributed infrastru...
The Grid and agent communities both develop concepts and mechanisms for open distributed systems, al...
Grid computing offers significant enhancements to our capabilities for computation, information proc...
The semantic grid refers to an approach to grid computing in which information, computing resources ...
Addressing the requirements of academic end users, the Grid paradigm and its underlying technologi...
The GRID and MAS (Multi-Agent Systems) communities believe in the potential of GRID and MAS to enhan...
The agent paradigm has been successfully used in a large number of research areas. MAPFS, a parallel...
23 pagesOne of the important claims that permeate the current view of information management is that...
Abstract. We are developing an agent-based intelligent middleware for the Grid. It is based on agent...
Scalable management and scheduling of dynamic grid resources requires new technologies to build the ...
Abstract- Grid computing has emerged as a viable method to solve computational and data-intensive pr...