Review on Multiobjective Task Scheduling in Cloud Computing using Nature Inspired Algorithms
2018 ◽
Vol 6
(8)
◽
pp. 282
Keyword(s):
In cloud computing huge pool of resources are available and shared through internet. The scheduling is a core technique which determines the performance of a cloud computing system. The goal of scheduling is to allocate task to appropriate machine to achieve one or more QOS. To find the suitable resource among pool of resources to achieve the goal is an NP Complete problem. A new class of algorithm called nature inspired algorithm came into existence to find optimal solution. In this paper we provide a survey as well as a comparative analysis of various existing nature inspired scheduling algorithms which are based on genetic algorithm and ant colony optimization algorithm.
2014 ◽
Vol 03
(10)
◽
pp. 16879-16885
◽
2018 ◽
Vol 6
(7)
◽
pp. 765-771
2010 ◽
Vol 20
(5)
◽
pp. 1337-1348
◽
2017 ◽
Vol 26
(1)
◽
pp. 129-152
◽
Keyword(s):
2016 ◽
Vol 11
(1)
◽
pp. 72-80