Load Balancing of Servers in Software-defined Internet of Multimedia Things using the Long Short-Term Memory Prediction Algorithm

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Imanpour Somaye; Montazerolghaem Ahmadreza; Afshari Saeed

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2024 | Issue:10

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Title

Load Balancing of Servers in Software-defined Internet of Multimedia Things using the Long Short-Term Memory Prediction Algorithm

Author(s)

Imanpour Somaye | Montazerolghaem Ahmadreza | Afshari Saeed

Keywords

Internet of Multimedia Things

Software-defined network

Server load balancing

LSTM

Fuzzy system

Abstract

The increase of traffic in Internet-of multimedia Things networks leads to additional load on servers,therefore, this paper focuses on Server load balancing in multimedia Internet-of-Things networks. Software-defined networking technology has been used to achieve load balancing in these networks, as Software-defined networks with new features have improved load balancing in multimedia Internet-of-Things networks. In this study, the short-term and long-term recurrent neural network algorithm is used to predict the server load, and then a Fuzzy system is used to accurately determine the server levels. Also, this article saves energy and also reduces server overhead.

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APA: Copy

Imanpour, Somaye, Montazerolghaem, Ahmadreza, & Afshari, Saeed. (2024). Load Balancing of Servers in Software-defined Internet of Multimedia Things using the Long Short-Term Memory Prediction Algorithm. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/1147649/en

Vancouver: Copy

Imanpour Somaye, Montazerolghaem Ahmadreza, Afshari Saeed. Load Balancing of Servers in Software-defined Internet of Multimedia Things using the Long Short-Term Memory Prediction Algorithm. 2024. Available from: https://sid.ir/paper/1147649/en

IEEE: Copy

Somaye Imanpour, Ahmadreza Montazerolghaem, and Saeed Afshari, “Load Balancing of Servers in Software-defined Internet of Multimedia Things using the Long Short-Term Memory Prediction Algorithm,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2024, [Online]. Available: https://sid.ir/paper/1147649/en

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