In grid computing, resource management and fault tolerance services are important issues.
Because the numbers of the application tasks and amounts of required resources are …

The grid paradigm for distributed computation provides an interesting framework for the
simulation of dense stellar systems, which remains a great challenge for astrophysicists. In …

Grid workflow management systems automate the orchestration of scientific applications
with large computational and data processing needs, but lack control over network …

While grids reach further to geographically separated clusters and data warehouses, grid
applications pose new demands on end-to-end performance control. Data-intensive grid …

Although the net processing power in the network is increasing steadily, it is heterogeneous.
Hence the immense compute-power may be underutilized at certain points while it remains …

In Grid computing, an application will be decomposed into a set of dependent tasks. In the
Grid environment where resources have different capability and resources are …

In this paper, we propose a directed hypergraph with parameters to describe general,
heterogeneous, distributed and dynamic grid task requests. With the design of GHDL (Grid …

This study proposes a novel Web-based text mining (WTM) framework on the grid, which
firstly applies the grid technology to text mining system for improving the performance of …

Computer over the years has grown from single user to multi-user systems and then
presently to distributed system, implying that computing resources can be distributed to …

WIEN2k is a material science application, which uses Density Functional Theory to calculate
the electronic structure of solids. Such calculations can take many hours up to several days …