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A Cost-Aware Resource Management Technique for Cloud and Edge Environment
Urmia University, Iran.
RISE Research Institutes of Sweden.ORCID iD: 0000-0002-4473-7763
Islamic Azad University, Iran.
2022 (English)In: MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2022, p. 1165-1170Conference paper, Published paper (Refereed)
Abstract [en]

Fog computing plays an important role to improve the efficiency of time-sensitive applications, cost reduction, and proper data management. In this paper, the above goals are made possible by processing some time-sensitive data and aggregating the rest of the data, by the modules in the fog data manager and associated storage servers, before sending it to the cloud servers. In this paper, we set the optimal workload allocation to the cloud and fog system by considering the compromise between costs of energy consumption of cloud and fog system, transfer bandwidth and revenue losses due to the WAN propagation delay, and time constraints in the Fog and Cloud system. The mixed linear programming obtained by IBM ILOG CPLEX software is solved to achieve the lowest possible cost by optimally allocating loads to fog devices and cloud servers. In addition, we show that using this approach, the total cost can be reduced by about 29%. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. p. 1165-1170
Keywords [en]
Data management, Fog computing, Mixed linear programming, Optimal workload allocation, Cloud storage, Cost reduction, Energy utilization, Fog, Linear programming, Sensitive data, Application cost, Cloud servers, Cost-aware, Costs reduction, Resource management techniques, Sensitive datas, Time sensitive applications, Workload allocation, Information management
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:ri:diva-60087DOI: 10.1109/MELECON53508.2022.9842978Scopus ID: 2-s2.0-85136410908ISBN: 9781665442800 (print)OAI: oai:DiVA.org:ri-60087DiVA, id: diva2:1694386
Conference
21st IEEE Mediterranean Electrotechnical Conference, MELECON 2022, 14 June 2022 through 16 June 2022
Available from: 2022-09-09 Created: 2022-09-09 Last updated: 2022-09-09Bibliographically approved

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Balador, Ali

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CiteExportLink to record
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  • apa
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