Dual Objective Security Driven Scheduling Model for Computational Grid using GA

This paper presented two algorithms for solving the grid task scheduling problem through a combination of a genetic algorithm (GA), which is a global search

In this paper I have proposed a algorithm to solve TSP using Genetic algorithms (GA) and Memetic algorithms (MA) with the crossover operator Edge Assembly

A scheduling approach is proposed that uses container stowage to allocate the volunteer grid resources based on the jobs submitted.. The proposed scheduling approach

In this study, we consider the problem of scheduling the tasks of precedence and timing constrained task graph on a set of homogeneous processors with communication time in a

In this study, a new fault tolerance based scheduling approach Fault Tolerant Min-Min (FTMM) for scheduling statically available meta tasks is proposed wherein failure

In these studies different dimensions of them were studied such as: Evaluation of Job-Scheduling Strategies for Grid Computing (Hamscher et al, 2000), UNICORE: A Grid Computing

Task scheduling, preemptive and non-preemptive scheduling, resource reclaiming, static scheduling algorithms and dynamic scheduling algorithms are dealt in deadline

If the computational jobs submitted to high bandwidth resource then it will not utilize its bandwidth effectively, similarly if a communication based jobs submitted to a