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Efficient Solution for Load Balancing in Fog Computing Utilizing Artificial Bee Colony

Efficient Solution for Load Balancing in Fog Computing Utilizing Artificial Bee Colony

Shivi Sharma, Hemraj Saini
Copyright: © 2019 |Volume: 10 |Issue: 4 |Pages: 18
ISSN: 1941-6237|EISSN: 1941-6245|EISBN13: 9781522565093|DOI: 10.4018/IJACI.2019100104
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MLA

Sharma, Shivi, and Hemraj Saini. "Efficient Solution for Load Balancing in Fog Computing Utilizing Artificial Bee Colony." IJACI vol.10, no.4 2019: pp.60-77. http://doi.org/10.4018/IJACI.2019100104

APA

Sharma, S. & Saini, H. (2019). Efficient Solution for Load Balancing in Fog Computing Utilizing Artificial Bee Colony. International Journal of Ambient Computing and Intelligence (IJACI), 10(4), 60-77. http://doi.org/10.4018/IJACI.2019100104

Chicago

Sharma, Shivi, and Hemraj Saini. "Efficient Solution for Load Balancing in Fog Computing Utilizing Artificial Bee Colony," International Journal of Ambient Computing and Intelligence (IJACI) 10, no.4: 60-77. http://doi.org/10.4018/IJACI.2019100104

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Abstract

Fog computing is a set of mobile cloudlets which can fulfil the demand of the user who is already considered a mobile job in this architecture. The main aim of Fog computing is to provide the user with an optimal solution which is quick and cost-efficient. This article focuses on a load balancing mechanism for cloudlets along with keeping the cost-effectiveness as an optimal selection parameter. This article utilizes the Artificial Bee Colony (ABC) in order to prioritize the user demand using a fitness function. This work evaluates quality of service (QoS) parameters such as schedule length runtime (SLR), schedule length vm ratio (SLVMR), energy consumed (EC) and energy consumption ratio (ECR) and shows the effectiveness of proposed work.

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