AbstractPeer to peer (P2P) grid systems consist of nodes present in multiple organizations and spread across different physical locations. These resources join and leave P2P grid depending upon their determination. Therefore, availability of grid resource cannot be guaranteed at all times. Moreover, failure in network infrastructure, hardware and software of resource can force it to leave grid without any early warnings. Many authors have proposed decentralized scheduling algorithms for P2P grid. In this paper, we have proposed a fault tolerant decentralized scheduling algorithm for P2P grid, which reschedules jobs of grid resource when node failure happens. This mechanism handles node failure in fully decentralized manner. Key feature of t...
Abstract- In grid computing, resources are used outside the boundary of organizations and it becomes...
Grid systems tend to grow in size, but currently deployed state-of-the-art schedulers have inherent ...
One of the main problems in distributed high-performance computing is how to allocate, schedule, ef...
Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DA...
Most of the existing solutions on task scheduling and resource management in grid computing are base...
Due to monetary limitation, small organizations cannot afford high end supercomputers to solve highl...
Workflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes ...
This thesis presents a fault-tolerant, Peer-to-Peer (P2P) based grid scheduling system for highly dy...
Grid system provides the sharing, selection and aggregation on distributed autonomous resources whil...
A grid is a distributed computational and storage environment often composed of heterogeneous autono...
Abstract—The GridRPC model is well suited for high per-formance computing on grids thanks to efficie...
In this paper, the deployment and execution of Itera-tive Stencil applications on a P2P Grid middlew...
Computational grids have the potential for solving scientific and large - scale problems using heter...
Grid system provides the sharing, selection and aggregation on distributed autonomous resources whil...
Scheduling jobs in distributed conditions of grid computing is nearly impossible to have a completel...
Abstract- In grid computing, resources are used outside the boundary of organizations and it becomes...
Grid systems tend to grow in size, but currently deployed state-of-the-art schedulers have inherent ...
One of the main problems in distributed high-performance computing is how to allocate, schedule, ef...
Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DA...
Most of the existing solutions on task scheduling and resource management in grid computing are base...
Due to monetary limitation, small organizations cannot afford high end supercomputers to solve highl...
Workflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes ...
This thesis presents a fault-tolerant, Peer-to-Peer (P2P) based grid scheduling system for highly dy...
Grid system provides the sharing, selection and aggregation on distributed autonomous resources whil...
A grid is a distributed computational and storage environment often composed of heterogeneous autono...
Abstract—The GridRPC model is well suited for high per-formance computing on grids thanks to efficie...
In this paper, the deployment and execution of Itera-tive Stencil applications on a P2P Grid middlew...
Computational grids have the potential for solving scientific and large - scale problems using heter...
Grid system provides the sharing, selection and aggregation on distributed autonomous resources whil...
Scheduling jobs in distributed conditions of grid computing is nearly impossible to have a completel...
Abstract- In grid computing, resources are used outside the boundary of organizations and it becomes...
Grid systems tend to grow in size, but currently deployed state-of-the-art schedulers have inherent ...
One of the main problems in distributed high-performance computing is how to allocate, schedule, ef...