Efficient Task Scheduling Over Cloud Computing with An Improved Firefly Algorithm

  Parminder Singh,  Amandeep Kaur

With the increase in the number of systems in the world it becomes necessary to provide those systems to process faster jobs with the same configuration. To achieve such complexities, computation should be performed somewhere on other system with high configuration, for that technology is shifting toward cloud. Cloud is the internet work of high configuration machines where all such computation is performed. But with the increase number of users it become necessary to provide them the result in real time, for that scheduling is must over the cloud. Many scheduling algorithms had been proposed and is being proposed in this area to achieve better and better result. Initially it was started with FCFS, SJF later on scheduler is shifted toward the meta-heuristic algorithm like ACO. Here we have proposed Adaptive or Improved firefly algorithm and compared its result with ACO.

Keywords- cloud computing, job scheduling, cloud sim

Unique Identification Number - IJEDR1602271
Page Number(s) - 1514-1518
Pubished in - Volume 4 | Issue 2 | June 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Parminder Singh,  Amandeep Kaur,   "Efficient Task Scheduling Over Cloud Computing with An Improved Firefly Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1514-1518, June 2016, Available at :http://www.ijedr.org/papers/IJEDR1602271.pdf