Desktop Grid computing are developed using different desktop Computers to benefits from idles computers in an efficient way to solve complex problems. Desktop Grid system, which connects a number of personal desktop computers, can achieve the same computing power as a supercomputer does, also with a lower cost. The goal of desktop grid system to aggregate idle computers on the network to utilize them in an efficient way. In this research we present desktop computational grid system that used to utilize desktop computers in Intranet to execute jobs in an efficient way than using a single computer. We design and implement Service Oriented Decentralized Job Scheduler (SODJS) framework based on web services technology. SODJS schedules and balan...
AbstractTo harvest idle, unused computational resources in networked environments, researchers have ...
Grid computing is a continuous growing technology that alleviates the executions of large-scale reso...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
Desktop grid is a relatively new trend in grid computing. As opposed to traditional (service based) ...
International audienceInstitutional desktop grid systems are attractive for running distributed appl...
In this paper we propose a novel framework for the dynamic allocation of jobs in grid-like environme...
short paperInternational audienceDesktop Grids have become very popular nowadays, with projects that...
Many scientific and engineering projects such as SETI @ home and Distributed.net are consuming resou...
Sciences aims at integrating distributed scientific data, providing transparent data access mechanis...
Desktop grid computing has emerged from the concept of providing relatively large amounts of computi...
We have designed a set of protocols that use peer-to-peer techniques to efficiently implement a dist...
Desktop grids combine Peer-to-Peer and Grid comput-ing techniques to improve the robustness, reliabi...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Desktopgrids as opposed to service grids are the cost-effective way to gather large amount of volunt...
Clusters of computers have emerged as mainstream parallel and distributed platforms for high perform...
AbstractTo harvest idle, unused computational resources in networked environments, researchers have ...
Grid computing is a continuous growing technology that alleviates the executions of large-scale reso...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
Desktop grid is a relatively new trend in grid computing. As opposed to traditional (service based) ...
International audienceInstitutional desktop grid systems are attractive for running distributed appl...
In this paper we propose a novel framework for the dynamic allocation of jobs in grid-like environme...
short paperInternational audienceDesktop Grids have become very popular nowadays, with projects that...
Many scientific and engineering projects such as SETI @ home and Distributed.net are consuming resou...
Sciences aims at integrating distributed scientific data, providing transparent data access mechanis...
Desktop grid computing has emerged from the concept of providing relatively large amounts of computi...
We have designed a set of protocols that use peer-to-peer techniques to efficiently implement a dist...
Desktop grids combine Peer-to-Peer and Grid comput-ing techniques to improve the robustness, reliabi...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Desktopgrids as opposed to service grids are the cost-effective way to gather large amount of volunt...
Clusters of computers have emerged as mainstream parallel and distributed platforms for high perform...
AbstractTo harvest idle, unused computational resources in networked environments, researchers have ...
Grid computing is a continuous growing technology that alleviates the executions of large-scale reso...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...