Most grid applications require the processing of large amounts of data stored at different
locations across the network which makes optical grid infrastructures optimal for such …

Divisible load applications consist of an amount of data and associated computation that can
be divided arbitrarily into any number of independent pieces. This model is a good …

In this paper, we apply divisible load theory to model the Grid scheduling problem involving
multiple sources to multiple sinks, and present an optimized scheduling technique for this …

In many data grid applications, data can be decomposed into multiple independent sub-
datasets and distributed for parallel execution and analysis. This property has been …

Divisible load applications consist of a load, that is input data and associated computation,
that can be divided arbitrarily into independent pieces. Such applications arise in many …

Scheduling an application in data grid is significantly complex and very challenging
because of its heterogeneous in nature of the grid system. Thus, Divisible Load Theory …

This collaboration of geographically distributed domains in multi-domain optical grid
environment should be done in a way that maintains the privacy of each participant domain …

In many data grid applications, data can be decomposed into multiple independent sub
datasets and schedule for parallel execution and analysis. Divisible Load Theory (DLT) is a …

In this paper, we propose a distributed algorithm for scheduling divisible loads originating
from single site on arbitrary networks. We first propose a mathematical model and formulate …

Cluster computing has emerged as a new paradigm for solving large-scale problems. To
enhance QoS and provide performance guarantees in cluster computing environments …