Abstract
Fog computing has become a new trend in the Internet of things domain and cloud computing applications. It is a novel model to achieve the availability, flexibility and better responding time. In spite of that, there is so many challenges facing computing environments such as the misuse of the resources and load-balancing between them, which has a major effect on performance. The requirement of effective and robust load-balancing algorithms is one of the most significant interest in this field. Many researchers suggested various load-balancing algorithms in fog computing, but there is still inefficiency in the system performance and misalignment in load-balancing. This paper will provide a description of numerous concepts such as computing fog, fog nodes, load balancing and then we recommend a load-balancing algorithm to enhance the fog-computing environment performance, which is a hybrid algorithm benefits from the optimizing processing time (OPT) algorithms. In order to explore the proposed algorithm performance, a comparison made with other algorithms. Results indicates that using the proposed optimizing processing time algorithm in load-balancing algorithm has superior response and processing time than the compared algorithms to user requests, and the data total cost centre’s as well.
Highlights
There is a huge data used to the expansion of Internet of things which is influences storage capacity and cloud computing, many applications are growing day by day relying on the Internet of things
We shall examine and explain various fundamental topics in this work, including computing fog, fog nodes, load balancing to propose a load-balancing algorithm that relay on optimizing processing time (OPT) algorithm in order to improve the performance with efficient manner in a fog-computing environment by using three parameters: the processor speed, the allotted load of the Virtual Machine (VM), and the network bandwidth
Analyzing the performance of three VM load balancing algorithm by our experimental results .The results obtained by using matlab R2014a and connecting this with iFogSim to find out the best resource to the request
Summary
There is a huge data used to the expansion of Internet of things which is influences storage capacity and cloud computing, many applications are growing day by day relying on the Internet of things. In the workload functioning of distribution systems on computing resources, load balancing is an effective approach. Load balancing is a strategy for dividing a workload among numerous computing resources such as computers, hard drives, and networks. This fair distribution of client request resources is attempted to achieve within the best possible to ensure proper resource usage. We shall examine and explain various fundamental topics in this work, including computing fog, fog nodes, load balancing to propose a load-balancing algorithm that relay on optimizing processing time (OPT) algorithm in order to improve the performance with efficient manner in a fog-computing environment by using three parameters: the processor speed, the allotted load of the Virtual Machine (VM), and the network bandwidth.
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