Grid applications have to cope with dynamically changing computing resources as machines may crash or be claimed by other, higher-priority applications. In this paper, we propose a mechanism that enables fault-tolerance, malleability (e.g. the ability to cope with a dynamically changing number of processors) and migration for divide-andconquer applications on the Grid. The novelty of our approach is restructuring the computation tree which eliminates redundant computation and salvages partial results computed by the processors leaving the computation. This enables the applications to adapt to dynamically changing numbers of processors and to migrate the computation without loss of work. Our mechanism is easy to implement and deploy in grid ...
Abstract. To make development of grid applications less arduous, a natural, powerful, and convenient...
Dealing with the large amounts of data generated by longrunning parallel applications is one of the ...
International audienceIn large-scale Grid computing environments, providing fault-tolerance is requi...
Divide-and-conquer is a well-suited programming paradigm for parallel Grid applications. Our Satin s...
Computational grids have an enormous potential to provide compute power. However, this power remains...
Abstract — Grid computing is a means of allocating the computational power of a large number of comp...
Abstract- In grid computing, resources are used outside the boundary of organizations and it becomes...
This work deals with high performance computing on large scale platforms like computing grids. Compu...
Abstract. Grid computing is focusing more on resource sharing, cycle stealing, and other modes of co...
Optimizing a given software system to exploit the features of the underlying system has been an area...
Divide-and-conquer is a popular and effective paradigm for writing grid-enabled applications. It has...
We address the challenge of sharing large amounts of numerical data within computing grids consistin...
Grid computing removes the limitations that exist in traditional shared computing environment, and b...
To make development of grid applications less arduous, a natural, powerful, and convenient programmi...
Typical computational grid users target only a single cluster and have to estimate the runtime of th...
Abstract. To make development of grid applications less arduous, a natural, powerful, and convenient...
Dealing with the large amounts of data generated by longrunning parallel applications is one of the ...
International audienceIn large-scale Grid computing environments, providing fault-tolerance is requi...
Divide-and-conquer is a well-suited programming paradigm for parallel Grid applications. Our Satin s...
Computational grids have an enormous potential to provide compute power. However, this power remains...
Abstract — Grid computing is a means of allocating the computational power of a large number of comp...
Abstract- In grid computing, resources are used outside the boundary of organizations and it becomes...
This work deals with high performance computing on large scale platforms like computing grids. Compu...
Abstract. Grid computing is focusing more on resource sharing, cycle stealing, and other modes of co...
Optimizing a given software system to exploit the features of the underlying system has been an area...
Divide-and-conquer is a popular and effective paradigm for writing grid-enabled applications. It has...
We address the challenge of sharing large amounts of numerical data within computing grids consistin...
Grid computing removes the limitations that exist in traditional shared computing environment, and b...
To make development of grid applications less arduous, a natural, powerful, and convenient programmi...
Typical computational grid users target only a single cluster and have to estimate the runtime of th...
Abstract. To make development of grid applications less arduous, a natural, powerful, and convenient...
Dealing with the large amounts of data generated by longrunning parallel applications is one of the ...
International audienceIn large-scale Grid computing environments, providing fault-tolerance is requi...