View in EDS

A Stochastic Performance Model and Mobility Analysis in the Integrated Cloud-Fog-Edge Computing System.

Saved in:
Bibliographic Details
Title: A Stochastic Performance Model and Mobility Analysis in the Integrated Cloud-Fog-Edge Computing System.
Authors: Kırsal, Yönal
Source: Mobile Networks & Applications; Oct2024, Vol. 29 Issue 5, p1529-1550, 22p
Subject Terms: DISCRETE event simulation, INFORMATION & communication technologies, COMPUTER systems, ARTIFICIAL intelligence, MOBILE computing
Abstract: In line with digital transformation and the rapid progress on the Internet, technology has led to new hierarchical infrastructures for seamless connectivity. The integrated cloud-fog-edge computing system is a hierarchical infrastructure that provides better operational connectivity for users at all network ends. Lack of mobility management, the requirement for high-speed internet connectivity, limited bandwidth, and security issues are some of the issues that result in poor Quality of Service (QoS) in such environments. Mobility or seamless connectivity of users is one of the main challenging factors in the performance evaluation of an integrated cloud-fog-edge computing system. Hence, to obtain better QoS and support seamless connectivity, new and efficient modelling approaches are necessary. Thus, a stochastic performance model is considered in this paper for QoS analysis. The performance analysis is done to determine the operational space of the proposed model. This gives an idea of how to design and develop more efficient architectures for such systems. The mean queue length, throughput, and mean response time results are examined for performance evaluation. A discrete event simulation is also presented to validate the proposed analytical model. [ABSTRACT FROM AUTHOR]
Copyright of Mobile Networks & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
Description
Abstract:In line with digital transformation and the rapid progress on the Internet, technology has led to new hierarchical infrastructures for seamless connectivity. The integrated cloud-fog-edge computing system is a hierarchical infrastructure that provides better operational connectivity for users at all network ends. Lack of mobility management, the requirement for high-speed internet connectivity, limited bandwidth, and security issues are some of the issues that result in poor Quality of Service (QoS) in such environments. Mobility or seamless connectivity of users is one of the main challenging factors in the performance evaluation of an integrated cloud-fog-edge computing system. Hence, to obtain better QoS and support seamless connectivity, new and efficient modelling approaches are necessary. Thus, a stochastic performance model is considered in this paper for QoS analysis. The performance analysis is done to determine the operational space of the proposed model. This gives an idea of how to design and develop more efficient architectures for such systems. The mean queue length, throughput, and mean response time results are examined for performance evaluation. A discrete event simulation is also presented to validate the proposed analytical model. [ABSTRACT FROM AUTHOR]
ISSN:1383469X
DOI:10.1007/s11036-023-02202-x