A Review of Dynamic Resource Allocation in Edge and Fog Oriented Enterprise Systems

Dumitru, Marian-Cosmin; Moisescu, Mihnea Alexandru; Pietraru, Radu Nicolae

doi:10.1109/cscs52396.2021.00055

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Finally, the authors in [104] analyze the implications of fog and edge computing technologies in the design and deployment of enterprise systems and their impact on the enterprise environment. The authors analyze existing contributions from different domains such as medicine, automotive, the oil industry, it, and smart homes.…”

Section: B Related Workmentioning

confidence: 99%

Resource Allocation in Fog Computing: A Systematic Review

Salem¹,

Algaphari²

2023

JST

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Despite the importance of resource allocation issues, there is no systematic, comprehensive and detailed survey on resource allocation approaches in the fog-computing context. In this article, we provide a Systematic Literature Review (SLR) on the resource allocation approaches in fog environments in the form of a classical taxonomy to recognize the state-of-the-art mechanisms on this important topic and provide open issues. The presented taxonomy is categorized into three main fields: centralized allocation, decentralized allocation, and integrated allocation (published between 2017 and March 2022). According to what is known in fog computing, load balancing and service placement are among the most important basic parameters that ensure service quality. These fields are classified into four methods, approximate, exact, fundamental, and hybrid. In addition, this article investigates resource allocation metrics with all advantages and limitations related to chosen resource allocation mechanisms in networks.

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Section: B Related Workmentioning

confidence: 99%

Resource Allocation in Fog Computing: A Systematic Review

Salem¹,

Algaphari²

2023

JST

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Computational Resource Allocation in Fog Computing: A Comprehensive Survey

et al. 2023

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Fog computing is a paradigm that allows the provisioning of computational resources and services at the edge of the network, closer to the end devices and users, complementing cloud computing. The heterogeneity and large number of devices are challenges to obtaining optimized resource allocation in this environment. Over time, some surveys have been presented on resource management in fog computing. However, they now lack a broader and deeper view about this subject, considering the recent publications. This article presents a systematic literature review with a focus on resource allocation for fog computing, and in a more comprehensive way than the existing works. The survey is based on 108 selected publications from 2012 to 2022. The analysis have exposed their main techniques, metrics used, evaluation tools, virtualization methods, architecture, and domains where the proposed solutions were applied. The results show an updated and comprehensive view about resource allocation in fog computing. The main challenges and open research questions are discussed, and a new fog computing resource management cycle is proposed.

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A Review of Dynamic Resource Allocation in Edge and Fog Oriented Enterprise Systems

Cited by 2 publications

References 16 publications

Resource Allocation in Fog Computing: A Systematic Review

Resource Allocation in Fog Computing: A Systematic Review

Computational Resource Allocation in Fog Computing: A Comprehensive Survey

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