{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:52:56Z","timestamp":1780638776102,"version":"3.54.1"},"reference-count":23,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T00:00:00Z","timestamp":1750982400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["ICT Express"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1016\/j.icte.2025.06.018","type":"journal-article","created":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T16:10:27Z","timestamp":1751386227000},"page":"275-282","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["A highly scalable improved multi-objective hybrid load balancing (IMH_LB) algorithm"],"prefix":"10.1016","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5319-5847","authenticated-orcid":false,"given":"Darakhshan","family":"Syed","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ghulam","family":"Muhammad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Safdar","family":"Ali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.icte.2025.06.018_bib0001","article-title":"Multitask oriented virtual resource integration and optimal scheduling in cloud manufacturing","volume":"2014","author":"Cheng","year":"2014","journal-title":"J. Appl. Math."},{"key":"10.1016\/j.icte.2025.06.018_bib0002","series-title":"Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center","first-page":"15","article-title":"Global data center energy demand and strategies to conserve energy","author":"Lei","year":"2021"},{"key":"10.1016\/j.icte.2025.06.018_bib0003","doi-asserted-by":"crossref","first-page":"41731","DOI":"10.1109\/ACCESS.2021.3065308","article-title":"A load balancing algorithm for the data centres to optimize cloud computing applications","volume":"9","author":"Shafiq","year":"2021","journal-title":"IEEE Access"},{"issue":"2","key":"10.1016\/j.icte.2025.06.018_bib0004","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.jer.2023.10.031","article-title":"Strategies for efficient resource management in federated cloud environments supporting Infrastructure as a Service (IAAS)","volume":"12","author":"Samha","year":"2024","journal-title":"J. Eng. Res."},{"issue":"4","key":"10.1016\/j.icte.2025.06.018_bib0005","doi-asserted-by":"crossref","first-page":"2871","DOI":"10.1007\/s10586-020-03053-x","article-title":"Efficient dynamic resource allocation method for cloud computing environment","volume":"23","author":"Belgacem","year":"2020","journal-title":"Clust. Comput."},{"issue":"1","key":"10.1016\/j.icte.2025.06.018_bib0006","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/TCC.2017.2737628","article-title":"A resource usage intensity aware load balancing method for virtual machine migration in cloud datacenters","volume":"8","author":"Shen","year":"2017","journal-title":"IEEE Transact. Cloud Comput."},{"key":"10.1016\/j.icte.2025.06.018_bib0007","doi-asserted-by":"crossref","first-page":"134517","DOI":"10.1109\/ACCESS.2023.3337146","article-title":"Load balancing in cloud environment: A state-of-the-art review","volume":"11","author":"Lohumi","year":"2023","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.icte.2025.06.018_bib0008","doi-asserted-by":"crossref","DOI":"10.32604\/iasc.2024.050681","article-title":"Systematic review: load balancing in cloud computing by using metaheuristic based dynamic algorithms","volume":"39","author":"Syed","year":"2024","journal-title":"Intell. Automat. Soft Comput."},{"issue":"1","key":"10.1016\/j.icte.2025.06.018_bib0009","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1186\/s13677-023-00453-3","article-title":"Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing","volume":"12","author":"Zhou","year":"2023","journal-title":"J. Cloud Comput."},{"key":"10.1016\/j.icte.2025.06.018_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.jpdc.2023.104766","article-title":"Task scheduling optimization in heterogeneous cloud computing environments: a hybrid GA-GWO approach","volume":"183","author":"Behera","year":"2024","journal-title":"J. Parall. Distrib. Comput."},{"issue":"1","key":"10.1016\/j.icte.2025.06.018_bib0011","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-96364-1","article-title":"A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques","volume":"15","author":"Lilhore","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.icte.2025.06.018_bib0012","series-title":"2025 International Conference on New Trends in Computing Sciences (ICTCS)","article-title":"Hybrid metaheuristic-based cloud task scheduling using genetic algorithm and salp swarm algorithm","author":"Yousef","year":"2025"},{"issue":"2","key":"10.1016\/j.icte.2025.06.018_bib0013","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1007\/s42979-024-03577-8","article-title":"Hybrid Adam_POA: hybrid Adam_Pufferfish optimization algorithm based load balancing in cloud computing","volume":"6","author":"Hegde","year":"2025","journal-title":"SN Comput. Sci."},{"issue":"1","key":"10.1016\/j.icte.2025.06.018_bib0014","first-page":"23","article-title":"CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms","volume":"41","author":"Calheiros","year":"2011","journal-title":"Softw.: Pract. Exper."},{"issue":"15","key":"10.1016\/j.icte.2025.06.018_bib0015","doi-asserted-by":"crossref","first-page":"8785","DOI":"10.3390\/app13158785","article-title":"A systematic parameter analysis of cloud simulation tools in cloud computing environments","volume":"13","author":"Shahid","year":"2023","journal-title":"Appl. Sci."},{"key":"10.1016\/j.icte.2025.06.018_bib0016","doi-asserted-by":"crossref","first-page":"130500","DOI":"10.1109\/ACCESS.2020.3009184","article-title":"A comprehensive study of load balancing approaches in the cloud computing environment and a novel fault tolerance approach","volume":"8","author":"Shahid","year":"2020","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.icte.2025.06.018_bib0017","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1007\/s42044-024-00183-y","article-title":"A comprehensive examination of load balancing algorithms in cloud environments: a systematic literature review, comparative analysis, taxonomy, open challenges, and future trends","volume":"7","author":"Prity","year":"2024","journal-title":"Iran J. Comput. Sci."},{"issue":"10","key":"10.1016\/j.icte.2025.06.018_bib0018","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1007\/s10462-024-10925-w","article-title":"A systematic literature review for load balancing and task scheduling techniques in cloud computing","volume":"57","author":"Devi","year":"2024","journal-title":"Artif. Intell. Rev."},{"issue":"2","key":"10.1016\/j.icte.2025.06.018_bib0019","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1007\/s42044-023-00163-8","article-title":"Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects","volume":"7","author":"Prity","year":"2024","journal-title":"Iran J. Comput. Sci."},{"key":"10.1016\/j.icte.2025.06.018_bib0020","series-title":"2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS)","article-title":"A systematic literature review on dynamic load balancing techniques in cloud computing environment: techniques, challenges, and future prospects","author":"Divya","year":"2025"},{"issue":"1","key":"10.1016\/j.icte.2025.06.018_bib0021","doi-asserted-by":"crossref","first-page":"86","DOI":"10.33317\/ssurj.608","article-title":"Systematic review: particle swarm optimization (PSO) based load balancing for Cloud Computing","volume":"14","author":"Syed","year":"2024","journal-title":"Sir Syed Univer. Res. J. Eng. Technol."},{"issue":"7","key":"10.1016\/j.icte.2025.06.018_bib0022","doi-asserted-by":"crossref","first-page":"3988","DOI":"10.1016\/j.jksuci.2020.10.016","article-title":"A novel load balancing technique for cloud computing platform based on PSO","volume":"34","author":"Pradhan","year":"2022","journal-title":"J. King Saud Univers.-Comput. Inform. Sci."},{"key":"10.1016\/j.icte.2025.06.018_bib0023","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/978-3-319-56393-0_4","article-title":"Lyapunov stability theory","author":"Nguyen","year":"2018","journal-title":"Model-Referen. Adapt. Control: A Prim."}],"container-title":["ICT Express"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405959525000992?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405959525000992?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T21:44:36Z","timestamp":1773351876000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2405959525000992"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":23,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["S2405959525000992"],"URL":"https:\/\/doi.org\/10.1016\/j.icte.2025.06.018","relation":{},"ISSN":["2405-9595"],"issn-type":[{"value":"2405-9595","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A highly scalable improved multi-objective hybrid load balancing (IMH_LB) algorithm","name":"articletitle","label":"Article Title"},{"value":"ICT Express","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.icte.2025.06.018","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences.","name":"copyright","label":"Copyright"}]}}