Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System
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 constr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Journal of Sensor and Actuator Networks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2224-2708/11/4/84 |
| _version_ | 1827638200394317824 |
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| author | Mohammed Al Masarweh Tariq Alwada’n Waleed Afandi |
| author_facet | Mohammed Al Masarweh Tariq Alwada’n Waleed Afandi |
| author_sort | Mohammed Al Masarweh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T16:13:10Z |
| format | Article |
| id | doaj.art-b6b1469480d74eeea9157357e78ee757 |
| institution | Directory Open Access Journal |
| issn | 2224-2708 |
| language | English |
| last_indexed | 2024-03-09T16:13:10Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj.art-b6b1469480d74eeea9157357e78ee7572023-11-24T16:04:07ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082022-12-011148410.3390/jsan11040084Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management SystemMohammed Al Masarweh0Tariq Alwada’n1Waleed Afandi2Department of Management Information System, College of Business in Rabigh, King Abdulaziz University, Jeddah 25732, Saudi ArabiaSchool of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UKDepartment of Management Information System, College of Business in Rabigh, King Abdulaziz University, Jeddah 25732, Saudi ArabiaCloud 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.https://www.mdpi.com/2224-2708/11/4/84cloud service brokerquality of serviceround robinweighted fair queuingfog computingconstrained application protocol |
| spellingShingle | Mohammed Al Masarweh Tariq Alwada’n Waleed Afandi Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System Journal of Sensor and Actuator Networks cloud service broker quality of service round robin weighted fair queuing fog computing constrained application protocol |
| title | Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System |
| title_full | Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System |
| title_fullStr | Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System |
| title_full_unstemmed | Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System |
| title_short | Fog Computing, Cloud Computing and IoT Environment: Advanced Broker Management System |
| title_sort | fog computing cloud computing and iot environment advanced broker management system |
| topic | cloud service broker quality of service round robin weighted fair queuing fog computing constrained application protocol |
| url | https://www.mdpi.com/2224-2708/11/4/84 |
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