Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony
The fundamental issue with cloud computing is task scheduling and decreasing system performance. An efficient task-scheduling technique is essential to increase system performance. Existing task-scheduling algorithms are primarily concerned with task resource requirements, CPU memory, execution time...
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| Format: | Academic Exercise |
| Language: | English English |
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2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/33271/1/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20GENETIC%20ALGORITHM%20AND%20ARTIFICIAL%20BEE%20COLONY.24pages.pdf https://eprints.ums.edu.my/id/eprint/33271/2/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20GENETIC%20ALGORITHM%20AND%20ARTIFICIAL%20BEE%20COLONY.pdf |
Internet
https://eprints.ums.edu.my/id/eprint/33271/1/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20GENETIC%20ALGORITHM%20AND%20ARTIFICIAL%20BEE%20COLONY.24pages.pdfhttps://eprints.ums.edu.my/id/eprint/33271/2/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20GENETIC%20ALGORITHM%20AND%20ARTIFICIAL%20BEE%20COLONY.pdf