ABSTRACT As grids are in essence heterogeneous, dynamic, shared and distributed environments, managing these kinds of platforms efficiently is extremely complex. A promising scalable approach to deal with these intricacies is the design of self-managing of autonomic applications. Autonomic applications adapt their execution accordingly by considering knowledge about their own behaviour and environmental conditions.QoS based User Driven scheduling for grid that provides the self-optimizing ability in autonomic applications. Computational grids to provide a user to solve large scale problem by spreading a single large computation across multiple machines of physical location. QoS based User Driven scheduler for grid also provides reliability...
Abstract — Grid computing is a form of distributed computing that coordinates and shows computing po...
The paper studies a distributed iterative algorithm for optimal scheduling in grid computing. Grid u...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Abstract—Autonomic applications adapt their execution ac-cordingly by considering knowledge about th...
The exploitation of service oriented technologies, such as Grid computing, is being boosted by the c...
Grid technologies have enabled the aggregation of geograph-ically distributed resources, in the cont...
Grid technologies have enabled the aggregation of geographically distributed resources, in the conte...
In recent years, the fast evolution in the industry of computer hardware such as the processors, has...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid computing is a form of distributed computing that involves coordinating and sharing computation...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
As Grid Computing increasingly enters the commercial do-main, performance and Quality of Service (Qo...
Abstracts In grid computing, the goals of task scheduling is to achieve high system optimization per...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
AbstractThis paper is to solve efficient QoS based resource scheduling in computational grid. It def...
Abstract — Grid computing is a form of distributed computing that coordinates and shows computing po...
The paper studies a distributed iterative algorithm for optimal scheduling in grid computing. Grid u...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Abstract—Autonomic applications adapt their execution ac-cordingly by considering knowledge about th...
The exploitation of service oriented technologies, such as Grid computing, is being boosted by the c...
Grid technologies have enabled the aggregation of geograph-ically distributed resources, in the cont...
Grid technologies have enabled the aggregation of geographically distributed resources, in the conte...
In recent years, the fast evolution in the industry of computer hardware such as the processors, has...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid computing is a form of distributed computing that involves coordinating and sharing computation...
Computational Grid (CG) is a wide network of computational resources that provides a distributed pla...
As Grid Computing increasingly enters the commercial do-main, performance and Quality of Service (Qo...
Abstracts In grid computing, the goals of task scheduling is to achieve high system optimization per...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
AbstractThis paper is to solve efficient QoS based resource scheduling in computational grid. It def...
Abstract — Grid computing is a form of distributed computing that coordinates and shows computing po...
The paper studies a distributed iterative algorithm for optimal scheduling in grid computing. Grid u...
Complex computational tasks are combinations of multiple independent computational subtasks related ...