Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System

Mohammed Al Masarweh, Tariq Alwada’n, Waleed Afandi

Research output: Contribution to journalArticlepeer-review

Abstract

Cloud computing is a massive amount of dynamic ad distributed resources that are delivered on request to clients over the Internet. Typical centralized cloud computing models may have difficulty dealing with challenges caused by IoT applications, such as network failure, latency, and capacity constraints. One of the introduced methods to solve these challenges is fog computing which makes the cloud closer to IoT devices. A system for dynamic congestion management brokerage is presented in this paper. With this proposed system, the IoT quality of service (QoS) requirements as defined by the service-level agreement (SLA) can be met as the massive amount of cloud requests come from the fog broker layer. In addition, a forwarding policy is introduced which helps the cloud service broker to select and forward the high-priority requests to the appropriate cloud resources from fog brokers and cloud users. This proposed idea is influenced by the weighted fair queuing (WFQ) Cisco queuing mechanism to simplify the management and control of the congestion that may possibly take place at the cloud service broker side. The system proposed in this paper is evaluated using iFogSim and CloudSim tools, and the results demonstrate that it improves IoT (QoS) compliance, while also avoiding cloud SLA violations.

Original languageEnglish
Article number84
Number of pages17
JournalJournal of Sensor and Actuator Networks
Volume11
Issue number4
DOIs
Publication statusPublished - 9 Dec 2022

Bibliographical note

Funding Information:
The Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. G: 365-849-1443.

Publisher Copyright:
© 2022 by the authors.

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