Mendeley
TY  _  JOUR
ID  -  1401120841386
TI  -  A review of the application of meta-heuristic algorithms in load balancing in cloud computing
JO  -  Journal of Information and Communication Technology
JA  -  ES
LA  -  fa
SN  -  2717-0411
AU  -  Morsali Mehdi
AU  -  Toroghi Haghighat Abolfazl
AU  -  Hosseinali-Zade Sasan
AD  -  دانشکده مهندسی برق،کامپیوتر و فناوری اطلاعات، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران
AD  -  دانشکده مهندسی برق، کامپیوتر و فناوری اطلاعات، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران
AD  -  
Y1  -  2023
PY  -  2023
VL  -  53
IS  -  
SP  -  200
EP  -  223
KW  -  Cloud computing
KW  -   load babancing
KW  -   Metaheuristic methods
KW  -  overloading
KW  -   underloading
DO  -  
N2  -  By widespread use of cloud computing, the need to improve performance and reduce latency in the cloud increases. One of the problems of distributed environments, especially clouds, is unbalanced load which results in reducing speed and efficiency and increasing delay in data storage and retrieval time. Various methods for load balancing in the cloud environment have been proposed, each of which has addressed the issue from its own perspective and has its advantages and disadvantages. In this research, we first provide some criteria for measuring load balance in the cloud and then examine the use of Metaheuristic methods in load balancing in the cloud environment. After introducing Metaheuristic load balancing methods, we have compared them based on the aforementioned criteria and discussed the advantages and disadvantages of each. Ant Colony Algorithms, Artificial Ant Colony, Bee Colony, Artificial Bee Colony, Bee Foraging Algorithm, Particle Swarm, Cat Swarm, Simulated Annealing, Genetic Algorithm, Tabu Search, Fish Swarm and Hybrid Algorithms and etc. examined in this research.
UR  - rimag.ir/en/Article/41386
L1  - rimag.ir/en/Article/Download/41386
ER  -  
