An innovative approach for QoS-aware Web Service Composition Using Whale Optimization Algorithm

An innovative approach for QoS-aware Web Service Composition Using Whale Optimization Algorithm | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article An innovative approach for QoS-aware Web Service Composition Using Whale Optimization Algorithm Fadl Dahan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4884233/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract With the proliferation of services and the vast amount of data produced by the Internet, numerous services with comparable functionalities but varying Quality of Service (QoS) attributes are potential candidates for meeting user needs. Consequently, the selection of the most suitable services has become increasingly challenging. To address this issue, a synthesis of multiple services is conducted through a composition process to create more sophisticated services. In recent years, there has been a growing interest in QoS uncertainty, given its potential impact on determining an optimal composite service, where each service is characterized by multiple QoS properties (e.g., response time and cost) that are frequently subject to change primarily due to environmental factors. Here, we introduce a novel approach that depends on the Multi-Agent Whale Optimization Algorithm (MA-WOA) for web service composition problem. Our proposed algorithm utilizes a multi-agent system for the representation and control of potential services, utilizing MA-WOA to identify the optimal composition that meets the user's requirements. It accounts for multiple quality factors and employs a weighted aggregation function to combine them into a cohesive fitness function. The efficiency of the suggested method is evaluated using a real and artificial web service composition dataset (comprising a total of 52,000 web services), with results indicating its superiority over other state-of-the-art methods in terms of composition quality and computational effectiveness. Therefore, the proposed strategy presents a feasible and effective solution to the web service composition challenge, representing a significant advancement in the field of service-oriented computing. Physical sciences/Mathematics and computing/Computer science Physical sciences/Mathematics and computing/Information technology Multi-Agent Whale Optimization Algorithm Service-Oriented Computing Web Service Composition Whale Optimization Algorithm Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 30 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 30 Aug, 2024 Reviews received at journal 29 Aug, 2024 Reviews received at journal 27 Aug, 2024 Reviewers agreed at journal 16 Aug, 2024 Reviewers agreed at journal 16 Aug, 2024 Reviewers invited by journal 16 Aug, 2024 Editor assigned by journal 16 Aug, 2024 Editor invited by journal 12 Aug, 2024 Submission checks completed at journal 10 Aug, 2024 First submitted to journal 09 Aug, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4884233","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":347113153,"identity":"bc5284a8-fb38-4771-bd8a-2549553276fb","order_by":0,"name":"Fadl Dahan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA10lEQVRIie3QsQqCQBzH8b8IuZzNN3Wv8AdBhKJeJRFqEREEZ6daBNe2XqHeQHEVWwUXp6YGR4eCLmvudAu6LyI4fPjdCSCT/WBaxF8UF5/PyQBC0p5sxhKAfAwBPWst/+KxfYHQhjmwfSoiU4dSrAMsXFQOZQ5YrL+TFRB8EfsELqr6jhMQEALE6CiW9jG5ofrghCWNkJh8JbWjiq8onEAlWlGJaVF0AqyufhaXW4KVaEWLjZrelx5LnHPThfMZSwQroPKHwvvKaX/SISktiP6STCaT/XVPE6o8uQeMCc0AAAAASUVORK5CYII=","orcid":"","institution":"Prince Sattam bin Abdulaziz University","correspondingAuthor":true,"prefix":"","firstName":"Fadl","middleName":"","lastName":"Dahan","suffix":""}],"badges":[],"createdAt":"2024-08-09 04:21:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4884233/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4884233/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-024-73414-8","type":"published","date":"2024-09-30T15:57:48+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":66097630,"identity":"46f471e0-1716-4318-af0d-4f5e2746ee53","added_by":"auto","created_at":"2024-10-07 16:14:51","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":907649,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4884233/v1_covered_ec06e623-bc1d-40d4-8cd3-354c39937898.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An innovative approach for QoS-aware Web Service Composition Using Whale Optimization Algorithm","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Multi-Agent Whale Optimization Algorithm, Service-Oriented Computing, Web Service Composition, Whale Optimization Algorithm","lastPublishedDoi":"10.21203/rs.3.rs-4884233/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4884233/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWith the proliferation of services and the vast amount of data produced by the Internet, numerous services with comparable functionalities but varying Quality of Service (QoS) attributes are potential candidates for meeting user needs. 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