{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T12:02:26Z","timestamp":1747224146362,"version":"3.40.5"},"reference-count":22,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:p>Load balancing is a major research discipline in Cloud computing. The services are provided to users on pay as you go manner. Although a lot of algorithms have been proposed for load balancing, but performance is still an issue. The authors have proposed a new hybrid algorithm H_FAC to optimize the performance in cloud computing. The hybrid technique combines cuckoo search along with the Firefly algorithm of swarm intelligence. The benefit of using hybridization technique is that strength of one algorithm will overcome the shortcomings of other algorithms. Blockchain ID based Signature technique is used to ensure the authenticity of cloud service provider. The experimental results of H_FAC minimize the standard deviation, execution time significantly and improved throughput thereby optimizing the performance. The hybrid algorithm is also compared with other algorithms like ant colony optimization, artificial bee colony, round robin, FCFS and modified throttled. This approach helps the users to get the resources from authentic resource providers with a reduced execution time.<\/jats:p>","DOI":"10.4018\/ijec.2020040105","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T14:55:57Z","timestamp":1582296957000},"page":"65-81","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing the Capability of Load Management Techniques in Cloud Using H_FAC Algorithm Optimization"],"prefix":"10.4018","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9389-424X","authenticated-orcid":true,"given":"Shadab","family":"Siddiqui","sequence":"first","affiliation":[{"name":"BBD University, Lucknow, India"}]},{"given":"Manuj","family":"Darbari","sequence":"additional","affiliation":[{"name":"BBD University, Lucknow, India"}]},{"given":"Diwakar","family":"Yagyasen","sequence":"additional","affiliation":[{"name":"BBD University, Lucknow, India"}]}],"member":"2432","reference":[{"issue":"3","key":"IJeC.2020040105-0","first-page":"1185","article-title":"Cuckoo search and genetic algorithm hybrid schemes for optimization problems.","volume":"10","author":"M.Abdel-Baset","year":"2016","journal-title":"Applications of Mathematics"},{"key":"IJeC.2020040105-1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28031-8_6"},{"key":"IJeC.2020040105-2","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36288-6_2"},{"key":"IJeC.2020040105-3","doi-asserted-by":"publisher","DOI":"10.1109\/CCEM.2013.6684434"},{"key":"IJeC.2020040105-4","doi-asserted-by":"publisher","DOI":"10.1515\/mcma-2018-0003"},{"key":"IJeC.2020040105-5","first-page":"579","article-title":"Bio-inspired load balancing algorithm in cloud computing.","author":"M.Gamal","year":"2017","journal-title":"International Conference on Advanced Intelligent Systems and Informatics"},{"key":"IJeC.2020040105-6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.01.025"},{"key":"IJeC.2020040105-7","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.07.007"},{"key":"IJeC.2020040105-8","doi-asserted-by":"publisher","DOI":"10.7815\/ijorcs.21.2011.011"},{"key":"IJeC.2020040105-9","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2015.07.003"},{"key":"IJeC.2020040105-10","unstructured":"Samal, P., & Mishra, P. 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