Advance Reservation of Resources for Task Execution in Grid Environments
Eliza Moise, Diana Moise, Florin Pop, Valentin Cristea

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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques · Cloud Computing and Resource Management
