Advance Reservation of Resources for Task Execution in Grid Environments

TL;DR

This paper introduces an efficient, fault-tolerant advance reservation strategy for resource scheduling in grid environments, aiming to improve task execution performance.

Contribution

It presents a novel distributed and dynamic algorithm for resource reservation that enhances grid scheduling efficiency and fault tolerance.

Findings

The strategy improves resource utilization in grid environments.

The algorithm demonstrates high fault tolerance during simulations.

It effectively reserves resources for future tasks.

Abstract

The paper proposes a solution for the Grid scheduling problem, addressing in particular the requirement of high performance an efficient algorithm must fulfill. Advance Reservation engages a distributed, dynamic, fault-tolerant and efficient strategy which reserves resources for future task execution. The paper presents the main features of the strategy, the functioning mechanism the strategy is based on and the methods used for evaluating the algorithm.