AbstractGrid computing is a distributed method for solving computing problem, when we have an application that is ready to execute; we can run this on other free machine. Resource management in grid is one of most important aspect. Resource management has consists of three parts such as resource discovery, resource selection and resource allocation. Each application needs all resources for run; therefore, resources should be ready and available. In grid, resources are heterogeneous and distributed. Resource allocation is one of important concepts in grid. In this paper we discuss some of important exists algorithm for resource allocation and compare these on the field's used technique, resource discovery, and similarity degree method
The candidate confirms that the work submitted is his own and that the appropriate credit has been g...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
AbstractGrid computing is a distributed method for solving computing problem, when we have an applic...
t- In recent years, the fast evolution in the industry of computer hardware such as the processors, ...
Abstract: As computing technology improves the accessibility to computing resources increases, the d...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
As technology advances and the popularity and dependence on internet increases by the day, new ways ...
Grid computing is a computing framework to meet growing demands for running heterogeneous grid enabl...
Nowadays, the electronic resources are available almost in every institution or facility.These elect...
Abstract Grid is a distributed high performance computing paradigm that offers various types of reso...
The resource allocation in Grid computing system needs to be scalable, reliable and smart. It should...
Grid systems are very useful platforms for distributed databases, especially in some situations in w...
Grid computing, one of the most trendy phrase used in IT, is emerging vastly distributed computation...
Resource allocation in a distributed system is the process of allocating the workload across multipl...
The candidate confirms that the work submitted is his own and that the appropriate credit has been g...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
AbstractGrid computing is a distributed method for solving computing problem, when we have an applic...
t- In recent years, the fast evolution in the industry of computer hardware such as the processors, ...
Abstract: As computing technology improves the accessibility to computing resources increases, the d...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
As technology advances and the popularity and dependence on internet increases by the day, new ways ...
Grid computing is a computing framework to meet growing demands for running heterogeneous grid enabl...
Nowadays, the electronic resources are available almost in every institution or facility.These elect...
Abstract Grid is a distributed high performance computing paradigm that offers various types of reso...
The resource allocation in Grid computing system needs to be scalable, reliable and smart. It should...
Grid systems are very useful platforms for distributed databases, especially in some situations in w...
Grid computing, one of the most trendy phrase used in IT, is emerging vastly distributed computation...
Resource allocation in a distributed system is the process of allocating the workload across multipl...
The candidate confirms that the work submitted is his own and that the appropriate credit has been g...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...