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Erschienen in:
2018 | OriginalPaper | Buchkapitel
An Efficient Framework for Improved Task Offloading in Edge Computing
verfasst von : Amanjot Kaur, Ramandeep Kaur
Erschienen in: Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments
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Abstract
In cloud environment the efficient techniques to balance the load are needed to equally distribute the load between available data centers to save some of the nodes from getting over loaded while others getting lightly loaded or free. The loads in cloud data centers should be mapped on to available resources in such a way that energy utilization in edge computing should be optimized. With the use of load balancing, utilization of resources can be optimized which can significantly decrease energy consumption and can even reduce carbon release along with cooling necessities in cloud data centers. In this paper, a novel game theoretic approach has been proposed to improve the throughput of the edge computing. Also, an effort is made to reduce the energy consumed during the offloading in the edge computing. Extensive analysis shows that the performance of proposed technique consumes lesser energy and provide faster response to edge users.