Abstract

It has always been a key topic in the current research how to make rational resource scheduling in the cloud computing environment. In this paper, the status of cloud computing resources is first analyzed, to point out the existing problems, and then combined with the characteristics of resource scheduling in cloud computing, the Shuffled Frog Leaping Algorithm is introduced. First, in its stage of subgroups classification, the chaos strategy is introduced and in the internal search the positive learning strategy is introduced, which makes the improved frog leaping algorithm gain good convergence, reduces the time of global search and optimization. Through the CloudSim platform, it shows that this algorithm can improve the efficiency of task processing and make the resource scheduling in cloud computing rational and effective.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.