Computational grids process large, computationally intensive problems on small data sets.
In contrast, data grids process large computational problems that in turn require evaluating …

Advances in computational, storage and network technologies as well as middle ware such
as the Globus Toolkit allow scientists to expand the sophistication and scope of data …

In data grid, large quantity of data files is produced and data replication is applied to reduce
data access time. Efficiently utilizing grid resources becomes important research issue since …

云计算作为下一代计算模式, 在科学计算和商业计算领域均发挥着重要作用,
受到当前学术界和企业界的广泛关注. 云计算环境下的分布存储主要研究数据在数据中心上的 …

We describe the implementation and evaluate the performance of a replica location service
that is part of the Globus Toolkit Version 3.0. A replica location service (RLS) provides a …

A Replica Location Service (RLS) allows registration and discovery of data replicas. In
earlier work, we proposed an RLS framework and described the performance and scalability …

Data replication is a practical and effective method to achieve efficient and fault-tolerant data
access in grids. Traditionally, data replication schemes maintain an entire replica in each …

A Thorough Overview of the Next Generation in ComputingPoised to follow in the footsteps
of the Internet, grid computing is on the verge of becoming more robust and accessible to the …

Over the last four years, a community of researchers working on Grid and High Performance
Computing technologies started discussing the barriers and opportunities that grid …

Grid computing is moving into two ways. The Computational Grid focuses on reducing
execution time of applications that require a great number of computer processing cycles …