Abstract: Grid computing is considered to be wide area distributed computing which provides sharing, selection and aggregation of distributed resources. Agent paradigm has been widely used in large number of research area and now a days it is widely used in grid computing. In this paper, we proposed agent based strategy that uses knowledge base reasoning framework for task scheduling in grid which minimizes makespan
Against the problem of group task allocation with time constraints in open and dynamic grid environm...
14 pagesInternational audienceResource management and job scheduling are important research issues i...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
AbstractA grid is an infrastructure for resource sharing. At present, many scientific applications r...
Computer grids are systems containing heterogeneous, autonomous and geographically distributed nodes...
Grid resource allocation is a complex task that is usually solved by systems relying on a centraliz...
Abstract—In large-scale grid platforms, providing fault-tolerance for users is always a challenging ...
As an important class of resource allocation approaches, decentralised job scheduling in large-scale...
Grid computing is a group of clusters connected over high-speed networks that involves coordinating ...
This paper presents an agent-based adaptive task-scheduling model for pure P2P computational grids, ...
Abstract. one of the key reasons for developing Grid Computing is to enable an engineer to use a hig...
International audienceScheduling in computational grids addresses the allocation of computing jobs t...
In decentralized computational environments applications or services belong to different organizatio...
Scalable management and scheduling of dynamic grid resources requires new technologies to build the ...
Abstract — Grid computing is a form of distributed computing that coordinates and shows computing po...
Against the problem of group task allocation with time constraints in open and dynamic grid environm...
14 pagesInternational audienceResource management and job scheduling are important research issues i...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
AbstractA grid is an infrastructure for resource sharing. At present, many scientific applications r...
Computer grids are systems containing heterogeneous, autonomous and geographically distributed nodes...
Grid resource allocation is a complex task that is usually solved by systems relying on a centraliz...
Abstract—In large-scale grid platforms, providing fault-tolerance for users is always a challenging ...
As an important class of resource allocation approaches, decentralised job scheduling in large-scale...
Grid computing is a group of clusters connected over high-speed networks that involves coordinating ...
This paper presents an agent-based adaptive task-scheduling model for pure P2P computational grids, ...
Abstract. one of the key reasons for developing Grid Computing is to enable an engineer to use a hig...
International audienceScheduling in computational grids addresses the allocation of computing jobs t...
In decentralized computational environments applications or services belong to different organizatio...
Scalable management and scheduling of dynamic grid resources requires new technologies to build the ...
Abstract — Grid computing is a form of distributed computing that coordinates and shows computing po...
Against the problem of group task allocation with time constraints in open and dynamic grid environm...
14 pagesInternational audienceResource management and job scheduling are important research issues i...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...