Abstract — A computational Grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities. Grids are emerging as a new computing paradigm for solving grand challenge application in Science, Engineering and Economics through sharing and collaboration of heterogeneous resources. Scheduling is one of the research issues in grid. Grid Scheduling is defined as the process of making scheduling decisions among resources from different administrative domains. The main problem in computational grid resource allocation is to discover suitable resources and to schedule separate tasks of an application on those resource in such a way to satisfy deadline requi...
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
The integration of remote and diverse resources and the increasing computational needs of Grand chal...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
Computational grid is a hardware and software infrastructure that provides dependable, inclusive and...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
Abstract: Problem statement: This study is for effective scheduling of grid jobs based on economy fo...
Computational grids are distributed systems composed of heterogeneous computing resources which are ...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
An important problem that arises in the area of grid computing is one of optimally assigning jobs to...
The objective of grid computing is to distribute the jobs to heterogeneous environment and increase ...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
Computational Grids and peer-to-peer (P2P) networks enable the sharing, selection, and aggregation o...
Abstract: Problem statement: Autonomous decision making and resource scheduling are the main objecti...
Grid computing is a new model that uses a network of processors connected together to perform bulk o...
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
The integration of remote and diverse resources and the increasing computational needs of Grand chal...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
Computational grid is a hardware and software infrastructure that provides dependable, inclusive and...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
Abstract: Problem statement: This study is for effective scheduling of grid jobs based on economy fo...
Computational grids are distributed systems composed of heterogeneous computing resources which are ...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
An important problem that arises in the area of grid computing is one of optimally assigning jobs to...
The objective of grid computing is to distribute the jobs to heterogeneous environment and increase ...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
Computational Grids and peer-to-peer (P2P) networks enable the sharing, selection, and aggregation o...
Abstract: Problem statement: Autonomous decision making and resource scheduling are the main objecti...
Grid computing is a new model that uses a network of processors connected together to perform bulk o...
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
The integration of remote and diverse resources and the increasing computational needs of Grand chal...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...