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Artificial Bee Colony algorithm used for load balancing in cloud computing: Review
Author(s) -
Arif Ullah
Publication year - 2019
Publication title -
iaes international journal of artificial intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 7
eISSN - 2252-8938
pISSN - 2089-4872
DOI - 10.11591/ijai.v8.i2.pp156-167
Subject(s) - computer science , load balancing (electrical power) , cloud computing , workload , distributed computing , swarm intelligence , artificial bee colony algorithm , robustness (evolution) , algorithm , flexibility (engineering) , particle swarm optimization , artificial intelligence , operating system , mathematics , geometry , statistics , gene , biochemistry , chemistry , grid
Cloud computing is emerging technology in IT land. But it still faces challenges like load balancing. It is a technique which dynamic distributed workload among various nodes equally in a situation where some nodes are under load and some are overload.  Main achievements of load balancing are resource consumption and reduce energy. Swarm intelligence provides an important role in the field of those problems which cannot easily solve and they need classical and mathematical technique. An artificial bee colony is a foraging behavior inspires algorithm it established by karaboga in 2005.  It has fast convergence, strong, robustness, and high flexibility. The different researcher used ABC algorithm for improvement in load balancing. This survey paper is a comprehensive study about load balancing in cloud computing using the ABC algorithm. It also defines some basic concept about swarm intelligent and its property .

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