Bio-inspired algorithms for cloud computing: A review

被引：0
作者：
Balusamy, Balamurugan [1 ]
Sridhar, Jayashree [1 ]
Dhamodaran, Divya [1 ]
Krishna, P. Venkata [2 ]
机构：
[1] School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore
[2] School of Computer Science and Engineering (SCSE), Vellore Institute of Technology (VIT), Vellore
来源：
International Journal of Innovative Computing and Applications | 2015年 / 6卷 / 3-4期
关键词：
ACO; Ant colony optimisation; Bio-inspired algorithms; Cloud computing; Evolutionary algorithm; Genetic algorithm;
D O I：
10.1504/ijica.2015.073007
中图分类号：
学科分类号：
摘要：
Cloud computing provides internet-based services to access different kind of service or resources, eliminating the need for centralised data access. There are several challenges available in cloud computing, where specific issues like resource provisioning, load imbalance and performance improvement can be solved using bio-inspired algorithms. Bio-inspired algorithms have the tendency to solve various kinds of problems naturally by providing optimised solutions. Though it is not used in cloud computing to a greater extent, it is applicable in networking, pattern recognition, data mining, wireless sensor networks, etc. The adaptability influences the use of bio-inspired algorithms to solve the major issues in cloud computing. The paper provides an extensive survey of bio-inspired algorithms for solving and optimising problems related to resource scheduling, load balancing, file searching and security in cloud computing. The work compares the performance, response time and cost optimisation of each algorithm applicable for cloud computing environment.
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页码：181 / 202
页数：21
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