Scheduling in Cloud and Fog Architecture: Identification of Limitations and Suggestion of Improvement Perspectives
Celestino Barros 1 * , Vítor Rocio 2, André Sousa 3, Hugo Paredes 4
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1 Faculty of Science and Technology of University of Cabo Verde, Praia, CAPE VERDE
2 INESC TEC and Open University of Portugal, Lisbon, PORTUGAL
3 Critical TechWorks, Porto, PORTUGAL
4 INESCT TEC and University of Trás-os-Montes and Alto Douro, Vila Real, PORTUGAL
* Corresponding Author

Abstract

Application execution required in cloud and fog architectures are generally heterogeneous in terms of device and application contexts. Scaling these requirements on these architectures is an optimization problem with multiple restrictions. Despite countless efforts, task scheduling in these architectures continue to present some enticing challenges that can lead us to the question how tasks are routed between different physical devices, fog nodes and cloud. In fog, due to its density and heterogeneity of devices, the scheduling is very complex and in the literature, there are still few studies that have been conducted. However, scheduling in the cloud has been widely studied. Nonetheless, many surveys address this issue from the perspective of service providers or optimize application quality of service (QoS) levels. Also, they ignore contextual information at the level of the device and end users and their user experiences.
In this paper, we conducted a systematic review of the literature on the main task by: scheduling algorithms in the existing cloud and fog architecture; studying and discussing their limitations, and we explored and suggested some perspectives for improvement.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.29333/jisem/8429

J INFORM SYSTEMS ENG, 2020 - Volume 5 Issue 3, Article No: em0121

Publication date: 30 Jul 2020

Article Views: 283

Article Downloads: 129

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