{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/qos-aware-big-service-composition-using","title":"QoS-aware Big Service Composition using Distributed Co-Evolutionary Algorithm","arxiv_id":null,"date":"2021-09-14","proceeding":"Concurrency and Computation Practice and Experience 2021 9","authors":["Avik Dutta","Chandrashekar Jatoth","G R Gangadharan","Ugo Fiore"],"abstract":"Big services are collections of interrelated web services across virtual and physical domains, processing Big Data. Existing service selection and composition algorithms fail to achieve the global optimum solution in a reasonable time. In this paper, we design an efficient quality of service‐aware big service composition methodology using a distributed co‐evolutionary algorithm. In our proposed model, we develop a distributed NSGA‐III for finding the optimal Pareto front and a distributed multi‐objective Jaya algorithm for enhancing the diversity of solutions. The distributed co‐evolutionary algorithm finds the near‐optimal solution in a fast and scalable way.","url_abs":"https://onlinelibrary.wiley.com/doi/10.1002/cpe.6362","url_pdf":"https://onlinelibrary.wiley.com/share/author/NKUW9XJGQQ4WEXWI9XZI?target=10.1002/cpe.6362","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"qos-aware-big-service-composition-using","repo_url":"https://github.com/avikdutta111191/Spark_MOEA","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":"multiobjective-optimization","task_name":"Multiobjective Optimization"},{"task_slug":"service-composition","task_name":"Service Composition"}],"methods":[{"method_slug":null,"method_name":null}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}