Resource management is very important and complex problems in grid computing environment. The resource management problem becomes complex when resources are distributed geographically, heterogeneous, dynamic and autonomous. There is a need to a grid that responds to various requests more quickly. In this paper, we have proposed a new method to optimize resource grouping based on Quality of Services (QoS) criteria such as delay, band width and semantics in order to select the resources more quickly and appropriately. These results show that the proposed method provides better results than existing approaches
Grid computing offers a model for solving massive computational problems using large numbers of comp...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
Grid computing promises to become the future computing paradigm for enterprise application after ha...
Grid technology allows resource sharing among several entities, but selecting the best resource to r...
The exploitation of service oriented technologies, such as Grid computing, is being boosted by the c...
Abstract: Applications using Grid computing infrastructure usually require resources allocation to s...
AbstractThis paper is to solve efficient QoS based resource scheduling in computational grid. It def...
International audienceWhile grids reach further to geographically separated clusters and data wareho...
Rapid advancement of communication technology has changed the landscape of computing. New models of ...
QoS support is of crucial importance to the adoption of Grid technologies. Advance reservations is o...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
In ten years of evolution Grid Computing has changed quickly, and the development of new middleware ...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
As Grid Computing increasingly enters the commercial do-main, performance and Quality of Service (Qo...
Grid computing offers a model for solving massive computational problems using large numbers of comp...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
Grid computing promises to become the future computing paradigm for enterprise application after ha...
Grid technology allows resource sharing among several entities, but selecting the best resource to r...
The exploitation of service oriented technologies, such as Grid computing, is being boosted by the c...
Abstract: Applications using Grid computing infrastructure usually require resources allocation to s...
AbstractThis paper is to solve efficient QoS based resource scheduling in computational grid. It def...
International audienceWhile grids reach further to geographically separated clusters and data wareho...
Rapid advancement of communication technology has changed the landscape of computing. New models of ...
QoS support is of crucial importance to the adoption of Grid technologies. Advance reservations is o...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
In ten years of evolution Grid Computing has changed quickly, and the development of new middleware ...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
As Grid Computing increasingly enters the commercial do-main, performance and Quality of Service (Qo...
Grid computing offers a model for solving massive computational problems using large numbers of comp...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
Grid computing promises to become the future computing paradigm for enterprise application after ha...