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Grid has attracted great attention of researchers during the past years. With its developing, it has coped with an increasing amount of complicated data and huge heterogeneous databases. So it is indispensable to develop a middleware that could access and integrate heterogeneous databases. Therefore, we propose a new fundamental architecture of the heterogeneous database access and integration in...
Currently, grid becomes increasingly a huge system, which contains a multitude of resources such as CPUs, memories, databases, software and so on. In most cases, the users only need limited resources in their work instead of all the resources in the grid, so it is a new problem in grid computing. Therefore, we propose a novel architecture for deploying e-Science on top of grid platform. And we design...
Recently, grid computing related researches have flourished in China. e-Science, which aims to create an enabling grid-based infrastructure appropriate for the science drivers, also has gradually played an important role in scientific communities. Initially, e-Science was always interlaced with grid directly, which resulted in the maintenance of e-Science applications involved in embarrassment. Therefore,...
Grid computing technologies have played an important role in both scientific and commercial communities. Initially, grid applications were concerned principally on the storage, replication and movement of file-based data, but now they are increasingly being used in many relative areas of e-Science and e-Business. The need for data access and integration becomes widely aware. In this paper, the Muse...
Efficient scheduling has emerged as a fundamental problem in grid computing systems. Since finding an optimal scheduling on the system to minimize the program completion time is a well-known NP-complete problem in general, researchers have resorted to devising efficient heuristics. In this paper, we present a dynamic scheduling heuristic which is appropriate for the grid computing systems, with the...
Efficient scheduling has emerged as a fundamental problem in grid computing systems. Since finding an optimal scheduling on the system to minimize the program completion time is a well-known NP-complete problem in general, researchers have resorted to devising efficient heuristics. In this paper, we present a dynamic scheduling heuristic which is appropriate for the grid computing systems, with the...
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