Muhamad, Wan Norsyafizan W. and Dimyati, Kaharudin and Javed, Muhammad Awais and Sarnin, Suzi Seroja and Ametefe, Divine Senanu (2023) Survey of Resources Allocation Techniques with a Quality of Service (QoS) Aware in a Fog Computing Environment. CMC-Computers Materials & Continua, 76 (1). pp. 1291-1308. ISSN 1546-2218, DOI https://doi.org/10.32604/cmc.2023.037214.
Full text not available from this repository.Abstract
The tremendous advancement in distributed computing and Inter-net of Things (IoT) applications has resulted in the adoption of fog computing as today's widely used framework complementing cloud computing. Thus, suitable and effective applications could be performed to satisfy the appli-cations' latency requirement. Resource allocation techniques are essential aspects of fog networks which prevent unbalanced load distribution. Effective resource management techniques can improve the quality of service metrics. Due to the limited and heterogeneous resources available within the fog infrastructure, the fog layer's resources need to be optimised to efficiently manage and distribute them to different applications within the IoT net-work. There has been limited research on resource management strategies in fog networks in recent years, and a limited systematic review has been done to compile these studies. This article focuses on current developments in resource allocation strategies for fog-IoT networks. A systematic review of resource allocation techniques with the key objective of enhancing QoS is provided. Steps involved in conducting this systematic literature review include developing research goals, accessing studies, categorizing and criti-cally analysing the studies. The resource management approaches engaged in this article are load balancing and task offloading techniques. For the load balancing approach, a brief survey of recent work done according to their sub-categories, including stochastic, probabilistic/statistic, graph theory and hybrid techniques is provided whereas for task offloading, the survey is performed according to the destination of task offloading. Efficient load balancing and task-offloading approaches contribute significantly to resource management, and tremendous effort has been put into this critical topic. Thus, this survey presents an overview of these extents and a comparative analysis. Finally, the study discusses ongoing research issues and potential future directions for developing effective management resource allocation techniques.
| Item Type: | Article |
|---|---|
| Funders: | Fundamental Research Grant Scheme's budget: (FRGS) under Kementerian Pendidikan Malaysia (600-IRMI/FRGS 5/3 (327/2019)), Universiti Teknologi MARA |
| Uncontrolled Keywords: | Resource management; task offloading; load balancing; QoS; latency; energy consumption |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 16 Jul 2025 06:36 |
| Last Modified: | 16 Jul 2025 06:36 |
| URI: | http://eprints.um.edu.my/id/eprint/50968 |
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