Proposing a Matrix Model in Fog Computing for Expanding the Efficiency of Computing Frameworks
By: Qurash, Shahazad Niwazi
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Contributor(s): Mishra, Awakash.
Publisher: Tamil Nadu i-manager's 2022Edition: Vol,9(2),Jul-Dec.Description: 1-12p.Subject(s): Computer EngineeringOnline resources: Click here
In:
i-manager's journal on cloud computing (JCC)Summary: og computing systems, by design, have a high degree of redundancy in terms of computing and storage resources. To make the most of this redundancy, coding techniques can be used to transform the data being transferred and processed. Two specific coding ideas that have been proposed for use in fog computing are minimum bandwidth codes and minimum latency codes. These codes have the potential to significantly reduce data transfer capacity utilization and computation inactivity. Minimum bandwidth codes focus on reducing the amount of data that needs to be transferred, while minimum latency codes focus on reducing the amount of time it takes for data to be processed. These two coding methods can be combined in a linked coding structure that allows for a trade-off between computation inactivity and communication load, leading to improved system performance. Fog computing has been proposed as a solution to meet the management requirements of the growing Internet of Things (IoT) and smart networks. This research breaks down the capabilities and challenges of fog computing in smart networks, presents the state-of-theart in the field, defines a fog computing-based smart grid, and provides a use case scenario for the proposed model
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-0951 |
og computing systems, by design, have a high degree of redundancy in terms of computing and storage resources. To make the most of this redundancy, coding techniques can be used to transform the data being transferred and processed. Two specific coding ideas that have been proposed for use in fog computing are minimum bandwidth codes and minimum latency codes. These codes have the potential to significantly reduce data transfer capacity utilization and computation inactivity. Minimum bandwidth codes focus on reducing the amount of data that needs to be transferred, while minimum latency codes focus on reducing the amount of time it takes for data to be processed. These two coding methods can be combined in a linked coding structure that allows for a trade-off between computation inactivity and communication load, leading to improved system performance. Fog computing has been proposed as a solution to meet the management requirements of the growing Internet of Things (IoT) and smart networks. This research breaks down the capabilities and challenges of fog computing in smart networks, presents the state-of-theart in the field, defines a fog computing-based smart grid, and provides a use case scenario for the proposed model
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