In-memory data sharing for grids allow location-transparent access to data stored in volatile memory. Existing Grid middlewares typ- ically support only explicit data transfer betw...
Abstract. Due to the few computing resource planning options currently available in Grid computing, capacity planning, an old discipline for analyzing resource purchases, is simple...
—Modern large-scale grid computing for processing advanced science and engineering applications relies on geographically distributed clusters. In such highly distributed environm...
Daniel M. Batista, Luciano Chaves, Nelson L. S. da...
Integration of P-GRADE with Condor and parallel check-pointing results in an environment under which both interactive parallel program development and batch mode execution is poss...
— The inductive characteristics of several types of gridded power distribution networks are described in this paper. The inductance extraction program FastHenry is used to evalua...
Resource management constitutes an important infrastructural component of a computational grid environment. The aim of grid resource management is to efficiently schedule applicat...
Junwei Cao, Stephen A. Jarvis, Daniel P. Spooner, ...
Grid computing systems that have been the focus of much research activities in recent years provide a virtual framework for controlled sharing of resources across institutional bo...
With the advent of Grid Computing, scheduling strategies for distributed heterogeneous systems have either become irrelevant or have to be extended significantly to support Grid d...
With the advent of computational grids, networking performance over the wide-area network (WAN) has become a critical component in the grid infrastructure. Unfortunately, many hig...
There is an increasing interest in integrating Javabased, and in particular Jini systems, with the emerging Grid infrastructures. In this paper we explore various ways of integrat...