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It builds the resource allocation model through distributed computing and virtualization to emphasize the scalability of cloud services. However, to manage the demand of user creates a complex issue in the on-demand resource allocation framework. Therefore, an effective optimization algorithm named Sunflower Whale Optimization Algorithm (SFWOA) is proposed to solve the issues in the resource allocation model. The concept of virtualization helps to execute the tasks based on the availability of resources and reduces the response time. The tasks are allocated to the virtual machine in a distributed manner to balance the workload in cloud. The proposed SFWOA uses the hunting strategy and the foraging behavior of humpback whale along with the peculiar behavior of sunflower to achieve the effective resource allocation. The performance enhancement of the proposed SFWOA is revealed through the performance measures such that the proposed method attained a maximum resource utilization of 0.942 using 20 virtual machines, maximum memory utilization of 0.215, and maximum CPU utilization of 0.269 using 15 virtual machines, and minimum skewness of 0.001 using 25 virtual machines.", "subjects" : [ { "otype" : "Classification", "mtid" : 10880, "link" : "/api/classification/10880", "label" : "Villamosmérnöki és informatikai tudományok", "published" : true, "snippet" : true } ], "keywords" : [ { "otype" : "Keyword", "mtid" : 1201291, "link" : "/api/keyword/1201291", "label" : "Cloud computing", "published" : true, "oldId" : 1201291, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1272445, "link" : "/api/keyword/1272445", "label" : "virtualization", "published" : true, "oldId" : 1272445, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1670142, "link" : "/api/keyword/1670142", "label" : "Cloud Services", "published" : true, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1840399, "link" : "/api/keyword/1840399", "label" : "whale optimization algorithm", "published" : true, "snippet" : true }, { "otype" : "Keyword", "mtid" : 2210776, "link" : "/api/keyword/2210776", "label" : "Sunflower optimization", "published" : true, "snippet" : true } ], "digital" : null, "printed" : null, "sourceYear" : 2020, "foreignEdition" : true, "foreignLanguage" : true, "fullPublication" : true, "conferencePublication" : false, "nationalOrigin" : null, "missingAuthor" : false, "oaType" : "NONE", "oaCheckDate" : "2023-05-24", "oaFree" : false, "citationCount" : 0, "citationCountUnpublished" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "doiCitationCount" : 0, "wosCitationCount" : 0, "scopusCitationCount" : 0, "independentCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "unhandledCitingPubCount" : 0, "citedPubCount" : 3, "citedCount" : 3, "ratings" : [ { "otype" : "SjrRating", "mtid" : 10771357, "link" : "/api/sjrrating/10771357", "label" : "sjr:Q3 (2020) Scopus - Computer Science Applications WIRELESS PERSONAL COMMUNICATIONS 0929-6212 1572-834X", "listPos" : 408, "rankValue" : 0.74, "type" : "journal", "ratingType" : { "otype" : "RatingType", "mtid" : 10002, "link" : "/api/ratingtype/10002", "label" : "sjr", "code" : "sjr", "published" : true, "snippet" : true }, "subject" : { "otype" : "ClassificationExternal", "mtid" : 1706, "link" : "/api/classificationexternal/1706", "label" : "Scopus - Computer Science Applications", "published" : true, "oldId" : 1706, "snippet" : true }, "ranking" : "Q3", "calculation" : "DIRECT", "published" : true, "snippet" : true } ], "ratingsForSort" : "Q3", "hasCitationDuplums" : false, "directInstitutesForSort" : "", "ownerAuthorCount" : 5, "ownerInstituteCount" : 26, "directInstituteCount" : 0, "authorCount" : 2, "contributorCount" : 0, "hasQualityFactor" : true, "link" : "/api/publication/31707129", "label" : "Subhash Ligade Sunil et al. 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