Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Bandwidth Allocation Algorithm for Makespan Optimization in a Fog-Cloud Environment: Monitoring Application
Authors: Bentabet Dougani, Abdeslem Dennai
Keywords: Cloud Computing, Fog Computing, IoT, List scheduling, DAG, Makespan.
– 0.59 Mb
Keywords: Cloud Computing, Fog Computing, IoT, List scheduling, DAG, Makespan.
Abstract
Fog computing technology has emerged to handle a large amount of data generated by the Internet of Things (IoT) terminals and cope with latency-sensitive application requests by allocating computation and storage resources at the edge of the Internet. In many IoT applications, the data acquisition procedures must apply the Directed Acyclic Graph (DAG) to get real-time results. The principal goal of DAG scheduling is to reduce total completion time without breaking priority constraints by properly allocating tasks to processors and arranging task execution sequencing. In this paper, we propose a bandwidth-aware workflow allocation (BW-AWA) that schedules tasks by priority to the resource and optimizes the total execution time (Makespan) in the entire computing system. The task allocation process needs to consider the dependency between tasks. The proposed approach is tested with a monitoring application case study, and the results are compared to well-known approaches to demonstrate its effectiveness in optimizing the Makespan.Bentabet Dougani
ORCID: https://orcid.org/0000-0003-4295-3830
CCAI Research Team, SGRE Laboratory,
University of BECHAR, Algeria
E-mail: ,
Abdeslem Dennai
ORCID: https://orcid.org/0000-0003-2133-0765
CCAI Research Team Leader, SGRE Laboratory,
University of BECHAR, Algeria
ORCID: https://orcid.org/0000-0003-4295-3830
CCAI Research Team, SGRE Laboratory,
University of BECHAR, Algeria
E-mail: ,
Abdeslem Dennai
ORCID: https://orcid.org/0000-0003-2133-0765
CCAI Research Team Leader, SGRE Laboratory,
University of BECHAR, Algeria
DOI
https://doi.org/10.56415/csjm.v31.03Fulltext
– 0.59 Mb
Contents
- Image Description Generator using Residual Neural Network and Long Short-Term Memory
- Prostate Cancer Classifier based on Three-Dimensional Magnetic Resonance Imaging and Convolutional Neural Networks
- Bandwidth Allocation Algorithm for Makespan Optimization in a Fog-Cloud Environment: Monitoring Application
- A Neural Attention-Based Encoder-Decoder Approach for English to Bangla Translation
- A Secret Image Sharing Based on Logistic-Chebyshev Chaotic Map and Chinese Remainder Theorem
- A new type of digital signature algorithms with a hidden group
- Performance comparison of CPU and GPGPU calculations using three simple case studies
