Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Mayssa Trabelsi and Samir Ben Ahmed

Affiliation: LIPSIC Laboratory, Faculty of Sciences of Tunis, University of Tunis ElManar, Tunis, Tunisia

Keyword(s): Internet of Things (IoT), Fog Computing, Task Scheduling, Real-Time, QoS Optimization.

Abstract: With the increasing demand for real-time processing for IoT applications, Fog computing becomes a crucial approach to overcome the limitations of centralized Cloud Computing. Given its decentralized structure, Fog computing enables faster response time, real-time processing, and reduced latency, making it particularly suitable for time-sensitive IoT applications. In this paper, we propose a novel approach called the ”Energy-cost-aware task scheduling with a Deadline-constrained” (ECaTSD) algorithm for real-time task scheduling in a fog infrastructure. The main objective of the proposed algorithm is to minimize energy consumption and monetary costs under deadline constraints. The ECaTSD algorithm dynamically allocates incoming tasks to the most suitable fog nodes in real-time. It selects the fog node that meets deadline requirements with the least energy consumption and monetary cost in the infrastructure. Moreover, the proposed algorithm has been simulated using the iFogSim simulator . The algorithm’s performance is evaluated using various criteria, such as the percentage of IoT tasks successfully meeting deadlines, energy consumption, monetary cost, and response time compared to other scheduling policies. ECaTSD algorithm shows high efficiency in meeting deadlines (99.58% completion rate) while being energy and cost-efficient. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.148.115.16

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Trabelsi, M. and Ben Ahmed, S. (2024). Energy and Cost-Aware Real-Time Task Scheduling with Deadline-Constraints in Fog Computing Environments. In Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-696-5; ISSN 2184-4895, SciTePress, pages 434-441. DOI: 10.5220/0012637600003687

@conference{enase24,
author={Mayssa Trabelsi and Samir {Ben Ahmed}},
title={Energy and Cost-Aware Real-Time Task Scheduling with Deadline-Constraints in Fog Computing Environments},
booktitle={Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2024},
pages={434-441},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012637600003687},
isbn={978-989-758-696-5},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Energy and Cost-Aware Real-Time Task Scheduling with Deadline-Constraints in Fog Computing Environments
SN - 978-989-758-696-5
IS - 2184-4895
AU - Trabelsi, M.
AU - Ben Ahmed, S.
PY - 2024
SP - 434
EP - 441
DO - 10.5220/0012637600003687
PB - SciTePress