Demand for High Performance Applications has already grown in present scenario. Grid Computing and Cloudcomputing are the requirement of today and tomorrow. ManyUNIX based and command based Grids are already in use. But people generally prefer window based machines. Considering this situation, we created a Grid framework called SCADY (Scalable & Dynamic) which is based on Alchemi.Net Grid Framework. From the literature review and findings it has been observed that a better fault tolerance mechanism is needed in these grid frameworks to ensure execution efficiency.This paper proposes a caching algorithm for better faulttolerance in Scady Grid Framework. The proposed algorithmuses the cache write-through method in which at the same time the d...
Present and future distributed applications need to deal with very large PetaBytes (PB) datasets and...
Caching techniques have been used to improve the performance gap of storage hierarchies in computing...
Dealing with the large amounts of data generated by longrunning parallel applications is one of the ...
Considering the need of a better, GUI based and effective high performance computing solution, we cr...
Grid computing has resulted in faster execution of applications. Day by day the requirement for exec...
The main problem in data grids is how to provide good and timely access to huge data given the limit...
International audienceCaching is an important element to tackle performance issues in largely distri...
computational grid. In this Paper, We Revisit widely cited Fault Tolerance in computational grid. We...
International audienceThe uniform cache system, suggested in this paper, illustrates an approach for...
A Fault Specific Automated Fault tolerant software system represent an Effective, Generalized solu...
Abstract — Grid computing is a means of allocating the computational power of a large number of comp...
Many Grid sites have the need to reduce operational manpower, and running a storage element consumes...
International audienceDistributed systems like Grids support diverse models of distributed computati...
This thesis proposes an approach for the design and implementation of collaborative cache systems in...
International audienceDistributed systems like grid support diverse models of dis-tributed computati...
Present and future distributed applications need to deal with very large PetaBytes (PB) datasets and...
Caching techniques have been used to improve the performance gap of storage hierarchies in computing...
Dealing with the large amounts of data generated by longrunning parallel applications is one of the ...
Considering the need of a better, GUI based and effective high performance computing solution, we cr...
Grid computing has resulted in faster execution of applications. Day by day the requirement for exec...
The main problem in data grids is how to provide good and timely access to huge data given the limit...
International audienceCaching is an important element to tackle performance issues in largely distri...
computational grid. In this Paper, We Revisit widely cited Fault Tolerance in computational grid. We...
International audienceThe uniform cache system, suggested in this paper, illustrates an approach for...
A Fault Specific Automated Fault tolerant software system represent an Effective, Generalized solu...
Abstract — Grid computing is a means of allocating the computational power of a large number of comp...
Many Grid sites have the need to reduce operational manpower, and running a storage element consumes...
International audienceDistributed systems like Grids support diverse models of distributed computati...
This thesis proposes an approach for the design and implementation of collaborative cache systems in...
International audienceDistributed systems like grid support diverse models of dis-tributed computati...
Present and future distributed applications need to deal with very large PetaBytes (PB) datasets and...
Caching techniques have been used to improve the performance gap of storage hierarchies in computing...
Dealing with the large amounts of data generated by longrunning parallel applications is one of the ...