Abstract: Distributed systems in a grid are heterogeneous resources that can be assigned to do major computing tasks using job-scheduling algorithms. Researchers have proposed job-scheduling algorithms in order to improve grid computing from different aspects such as performance, reliability, scalability, fault-tolerance, security and others. In this project, we focus on the limitations of fuzzy-logic based self-adaptive job replication scheduling (FSARS). It is appropriate for fault-tolerant and secure grid job scheduling. Moreover, it addressed the issue of fixed-number job replication scheduling and enhanced it under dynamic security conditions. FSARS can be improved in terms of performance and grid utilization by minimizing average wait...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Over the past decade, scheduling in grid computing system has been an active research. However, it i...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
In scheduling a large number of user jobs for parallel execution on an open-resource Grid system, th...
Realistic platforms for Grid computing face security threats from the network attacks. Heterogeneous...
Grid computing is a form of distributed computing that involves coordinating and sharing data storag...
AbstractA grid is an infrastructure for resource sharing. At present, many scientific applications r...
Grid computing is the principle in utilizing and sharing large-scale resources to solve the complex ...
Grid computing is a continuous growing technology that alleviates the executions of large-scale reso...
Clusters of computers have emerged as mainstream parallel and distributed platforms for high perform...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Grid technology, which together a number of personal computer clusters with high speed networks, can...
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
Job scheduling is a fundamental issue in achieving a high performance on the Grids. In grid computin...
Abstract—Grid computing is an emerging technology which has the potential to solve large scale scien...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Over the past decade, scheduling in grid computing system has been an active research. However, it i...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
In scheduling a large number of user jobs for parallel execution on an open-resource Grid system, th...
Realistic platforms for Grid computing face security threats from the network attacks. Heterogeneous...
Grid computing is a form of distributed computing that involves coordinating and sharing data storag...
AbstractA grid is an infrastructure for resource sharing. At present, many scientific applications r...
Grid computing is the principle in utilizing and sharing large-scale resources to solve the complex ...
Grid computing is a continuous growing technology that alleviates the executions of large-scale reso...
Clusters of computers have emerged as mainstream parallel and distributed platforms for high perform...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Grid technology, which together a number of personal computer clusters with high speed networks, can...
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
Job scheduling is a fundamental issue in achieving a high performance on the Grids. In grid computin...
Abstract—Grid computing is an emerging technology which has the potential to solve large scale scien...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Over the past decade, scheduling in grid computing system has been an active research. However, it i...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...