Improving quality‐of‐service in fog computing through efficient resource allocation. (13th February 2020)

• Record Type: Journal Article
• Authors: Mani, Sathish Kumar; Meenakshisundaram, Iyapparaja
• Is Part Of: Computational intelligence. Volume 36:Number 4(2020)
• Page Start: 1527
• Page End: 1547
• Publication Date: 2020-02-13
• Subjects: CloudSim -- fog computing -- light‐weight computing device -- resource allocation -- virtual machine; Artificial intelligence -- Periodicals; Computational linguistics -- Periodicals; 006.3
• DOI: 10.1111/coin.12285
• Languages: English
• ISSNs: 0824-7935

Abstract

Abstract: In today's world, large group migration of applications to the fog computing is registered in the information technology world. The main issue in fog computing is providing enhanced quality of service (QoS). QoS management consists of various method used for allocating fog‐user applications in the virtual environment and selecting suitable method for allocating virtual resources to physical resource. The resources allocation in effective manner in the fog environment is also a major problem in fog computing; it occurs when the infrastructure is build using light‐weight computing devices. In this article, the allocation of task and placement of virtual machine problems is explained in the single fog computing environment. The experiment is done and the result shows that the proposed framework improves QoS in fog environment.