Grid is a distributed high performance computing paradigm that offers various types of resources (like computing, storage, communication) to resource-intensive user tasks. These tasks are scheduled to allocate available Grid resources efficiently to achieve high system throughput and to satisfy user requirements. The task scheduling problem has become more complex with the ever increasing size of Grid systems. Even though selecting an efficient resource allocation strategy for a particular task helps in obtaining a desired level of service, researchers still face difficulties in choosing a suitable technique from a plethora of existing methods in literature. In this paper, we explore and discuss existing resource allocation mechanisms for r...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
A Network Computing System is a virtual computer formed by a networked set of heterogeneous machines...
Grid systems provide geographically distributed resources for both computational intensive and data-...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Abstract Grid is a distributed high performance computing paradigm that offers various types of reso...
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...
AbstractGrid computing is a distributed method for solving computing problem, when we have an applic...
Grid systems are very useful platforms for distributed databases, especially in some situations in w...
Abstract: As computing technology improves the accessibility to computing resources increases, the d...
t- In recent years, the fast evolution in the industry of computer hardware such as the processors, ...
Grid computing is a collection of heterogeneous resources that is highly dynamic and unpredictable. ...
Grid computing, one of the most trendy phrase used in IT, is emerging vastly distributed computation...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Computational grids are distributed systems composed of heterogeneous computing resources which are ...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
A Network Computing System is a virtual computer formed by a networked set of heterogeneous machines...
Grid systems provide geographically distributed resources for both computational intensive and data-...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Abstract Grid is a distributed high performance computing paradigm that offers various types of reso...
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...
AbstractGrid computing is a distributed method for solving computing problem, when we have an applic...
Grid systems are very useful platforms for distributed databases, especially in some situations in w...
Abstract: As computing technology improves the accessibility to computing resources increases, the d...
t- In recent years, the fast evolution in the industry of computer hardware such as the processors, ...
Grid computing is a collection of heterogeneous resources that is highly dynamic and unpredictable. ...
Grid computing, one of the most trendy phrase used in IT, is emerging vastly distributed computation...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Computational grids are distributed systems composed of heterogeneous computing resources which are ...
Grid computing is already a mainstream paradigm for resource-intensive scientific applications, but ...
A Network Computing System is a virtual computer formed by a networked set of heterogeneous machines...
Grid systems provide geographically distributed resources for both computational intensive and data-...