Grid environment, being a collection of heterogeneous and geographically distributed resources, is prone to many kinds of failures. In order to fully realize the potential of the Grid environment, we need mechanisms that will guarantee Quality of Service, even in the face of failures. In this paper, we introduce the notion of scheduling based on "availability", and provide a framework (AGMetS) for QoS adaptive Grid meta scheduling. AGMetS uses availability to adapt to the underlying resource failures, thereby ensuring QoS even in the face of failures. We provide detailed design description, and a prototype implementation of AGMetS. We further provide the experimental results of our work, showing the effectiveness of AGMetS
Abstract. This paper presents a GridIMF framework that provides support for adaptive grid services i...
Grid technologies have enabled the aggregation of geographically distributed resources, in the conte...
Grid system provides the sharing, selection and aggregation on distributed autonomous resources whil...
Grid environment, being a collection of heterogeneous and geographically distributed resources, is p...
Abstract—In large-scale grid platforms, providing fault-tolerance for users is always a challenging ...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
ABSTRACT As grids are in essence heterogeneous, dynamic, shared and distributed environments, manag...
The exploitation of service oriented technologies, such as Grid computing, is being boosted by the c...
Abstract—Autonomic applications adapt their execution ac-cordingly by considering knowledge about th...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid technologies have enabled the aggregation of geograph-ically distributed resources, in the cont...
To make the most effective application placement decisions on volatile large-scale heterogeneous Gri...
The nearly optimal, interoperable utilization of various grid resources play an important role in th...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
Abstract. This paper presents a GridIMF framework that provides support for adaptive grid services i...
Grid technologies have enabled the aggregation of geographically distributed resources, in the conte...
Grid system provides the sharing, selection and aggregation on distributed autonomous resources whil...
Grid environment, being a collection of heterogeneous and geographically distributed resources, is p...
Abstract—In large-scale grid platforms, providing fault-tolerance for users is always a challenging ...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
ABSTRACT As grids are in essence heterogeneous, dynamic, shared and distributed environments, manag...
The exploitation of service oriented technologies, such as Grid computing, is being boosted by the c...
Abstract—Autonomic applications adapt their execution ac-cordingly by considering knowledge about th...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid technologies have enabled the aggregation of geograph-ically distributed resources, in the cont...
To make the most effective application placement decisions on volatile large-scale heterogeneous Gri...
The nearly optimal, interoperable utilization of various grid resources play an important role in th...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
Abstract. This paper presents a GridIMF framework that provides support for adaptive grid services i...
Grid technologies have enabled the aggregation of geographically distributed resources, in the conte...
Grid system provides the sharing, selection and aggregation on distributed autonomous resources whil...