{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:14Z","timestamp":1772119874426,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T00:00:00Z","timestamp":1709683200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T00:00:00Z","timestamp":1709683200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"General Directorate for Scientific Research and Technological Development, Ministry of Higher Education and Scientific Research DGRSDT, Algeria."}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1007\/s11227-024-05990-5","type":"journal-article","created":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T13:01:51Z","timestamp":1709730111000},"page":"13434-13474","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A novel multi-level hybrid load balancing and tasks scheduling algorithm for cloud computing environment"],"prefix":"10.1007","volume":"80","author":[{"given":"Nadim","family":"Elsakaan","sequence":"first","affiliation":[]},{"given":"Kamal","family":"Amroun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,6]]},"reference":[{"key":"5990_CR1","unstructured":"Gopala M, Sriram K (2022) Edge computing vs. cloud computing: an overview of big data challenges and opportunities for large enterprises"},{"key":"5990_CR2","doi-asserted-by":"crossref","unstructured":"Kavitha T, Hemalatha S, Saravanan T, Singh AK, Alam MI, Warshi S (2022) Survey on cloud computing security and scheduling. 1\u20134","DOI":"10.1109\/ICCCI54379.2022.9740932"},{"key":"5990_CR3","doi-asserted-by":"crossref","unstructured":"Alazzam H, Mardini W, Alsmady A, Enizat A (2019) Load balancing in cloud computing using water flow-like algorithm. In: ACM International Conference Proceeding Series","DOI":"10.1145\/3368691.3368720"},{"key":"5990_CR4","doi-asserted-by":"publisher","first-page":"71853","DOI":"10.1109\/ACCESS.2022.3188645","volume":"10","author":"TM Tawfeeg","year":"2022","unstructured":"Tawfeeg TM, Yousif A, Hassan A, Alqhtani SM, Hamza R, Bashir MB, Ali A (2022) Cloud dynamic load balancing and reactive fault tolerance techniques: a systematic literature review (SLR). IEEE Access 10:71853\u201371873","journal-title":"IEEE Access"},{"key":"5990_CR5","doi-asserted-by":"crossref","unstructured":"Kumar P, Kumar R (2019) Issues and challenges of load balancing techniques in cloud computing: a survey. ACM Comput Surv 51","DOI":"10.1145\/3281010"},{"key":"5990_CR6","doi-asserted-by":"publisher","first-page":"26149","DOI":"10.1109\/ACCESS.2022.3157435","volume":"10","author":"S Souravlas","year":"2022","unstructured":"Souravlas S, Anastasiadou SD, Tantalaki N, Katsavounis S (2022) A fair, dynamic load balanced task distribution strategy for heterogeneous cloud platforms based on Markov process modeling. IEEE Access 10:26149\u201326162","journal-title":"IEEE Access"},{"key":"5990_CR7","doi-asserted-by":"publisher","first-page":"6302","DOI":"10.1007\/s11227-019-02816-7","volume":"76","author":"SMG Kashikolaei","year":"2020","unstructured":"Kashikolaei SMG, Hosseinabadi AAR, Saemi B, Shareh MB, Sangaiah AK, Bian GB (2020) An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm. J Supercomput 76:6302\u20136329","journal-title":"J Supercomput"},{"key":"5990_CR8","doi-asserted-by":"publisher","first-page":"98","DOI":"10.51846\/vol6iss1pp98-105","volume":"6","author":"F Qaisar","year":"2023","unstructured":"Qaisar F, Shahab H, Iqbal M, Sargana H, Aqeel M, Qayyum M (2023) Recent trends in cloud computing and IoT platforms for it management and development: a review. Pak J Eng Technol 6:98\u2013105","journal-title":"Pak J Eng Technol"},{"key":"5990_CR9","doi-asserted-by":"crossref","unstructured":"Hong J, Dreibholz T, Schenkel JA, Hu JA (2019) An overview of multi-cloud computing. 1055\u20131068","DOI":"10.1007\/978-3-030-15035-8_103"},{"key":"5990_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jnca.2019.06.006","volume":"143","author":"M Kumar","year":"2019","unstructured":"Kumar M, Sharma SC, Goel A, Singh SP (2019) A comprehensive survey for scheduling techniques in cloud computing. J Netw Comput Appl 143:1\u201333","journal-title":"J Netw Comput Appl"},{"key":"5990_CR11","doi-asserted-by":"publisher","first-page":"63422","DOI":"10.1109\/ACCESS.2022.3182211","volume":"10","author":"AU Rehman","year":"2022","unstructured":"Rehman AU, Aguiar RL, Barraca JP (2022) Fault-tolerance in the scope of cloud computing. IEEE Access 10:63422\u201363441","journal-title":"IEEE Access"},{"key":"5990_CR12","doi-asserted-by":"crossref","unstructured":"Deepa T, Cheelu DD (2017) A comparative study of static and dynamic load balancing algorithms in cloud computing. In: Proceedings of International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS-2017)","DOI":"10.1109\/ICECDS.2017.8390086"},{"key":"5990_CR13","first-page":"975","volume":"20","author":"T Kokilavani","year":"2011","unstructured":"Kokilavani T, Amalarethinam DIG (2011) Load balanced min\u2013min algorithm for static meta-task scheduling in grid computing. Int J Comput Appl 20:975\u20138887","journal-title":"Int J Comput Appl"},{"key":"5990_CR14","first-page":"47","volume":"191","author":"G Liu","year":"2012","unstructured":"Liu G, Li J, Xu J (2012) An improved min-min algorithm in cloud computing. AISC 191:47\u201352","journal-title":"AISC"},{"key":"5990_CR15","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1016\/j.future.2020.09.016","volume":"115","author":"Z Miao","year":"2021","unstructured":"Miao Z, Yong P, Mei Y, Quanjun Y, Xu X (2021) A discrete pso-based static load balancing algorithm for distributed simulations in a cloud environment. Future Gener Comput Syst 115:497\u2013516","journal-title":"Future Gener Comput Syst"},{"key":"5990_CR16","doi-asserted-by":"publisher","first-page":"3735","DOI":"10.1007\/s12652-019-01655-x","volume":"12","author":"V Arulkumar","year":"2021","unstructured":"Arulkumar V, Bhalaji N (2021) Performance analysis of nature inspired load balancing algorithm in cloud environment. J Ambient Intell Hum Comput 12:3735\u20133742","journal-title":"J Ambient Intell Hum Comput"},{"key":"5990_CR17","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.cor.2019.05.022","volume":"110","author":"ST Milan","year":"2019","unstructured":"Milan ST, Rajabion L, Ranjbar H, Navimipour NJ (2019) Nature inspired meta-heuristic algorithms for solving the load-balancing problem in cloud environments. Comput Oper Res 110:159\u2013187","journal-title":"Comput Oper Res"},{"key":"5990_CR18","first-page":"67","volume-title":"Enhanced bee colony algorithm for efficient load balancing and scheduling in cloud","author":"KRR Babu","year":"2016","unstructured":"Babu KRR, Samuel P (2016) Enhanced bee colony algorithm for efficient load balancing and scheduling in cloud, vol 424. Springer, Berlin, pp 67\u201378"},{"key":"5990_CR19","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.jnca.2018.12.010","volume":"128","author":"M Adhikari","year":"2019","unstructured":"Adhikari M, Nandy S, Amgoth T (2019) Meta heuristic-based task deployment mechanism for load balancing in IAAS cloud. J Netw Comput Appl 128:64\u201377","journal-title":"J Netw Comput Appl"},{"key":"5990_CR20","doi-asserted-by":"publisher","first-page":"41731","DOI":"10.1109\/ACCESS.2021.3065308","volume":"9","author":"DA Shafiq","year":"2021","unstructured":"Shafiq DA, Jhanjhi NZ, Abdullah A, Alzain MA (2021) A load balancing algorithm for the data centres to optimize cloud computing applications. IEEE Access 9:41731\u201341744","journal-title":"IEEE Access"},{"key":"5990_CR21","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.compeleceng.2016.11.001","volume":"57","author":"M Vanitha","year":"2017","unstructured":"Vanitha M, Marikkannu P (2017) Effective resource utilization in cloud environment through a dynamic well-organized load balancing algorithm for virtual machines. Comput Electric Eng 57:199\u2013208","journal-title":"Comput Electric Eng"},{"key":"5990_CR22","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.compeleceng.2017.11.018","volume":"69","author":"M Kumar","year":"2018","unstructured":"Kumar M, Sharma SC (2018) Deadline constrained based dynamic load balancing algorithm with elasticity in cloud environment. Comput Electric Eng 69:395\u2013411","journal-title":"Comput Electric Eng"},{"key":"5990_CR23","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.asoc.2018.12.021","volume":"76","author":"V Priya","year":"2019","unstructured":"Priya V, Kumar CS, Kannan R (2019) Resource scheduling algorithm with load balancing for cloud service provisioning. Appl Soft Comput J 76:416\u2013424","journal-title":"Appl Soft Comput J"},{"key":"5990_CR24","doi-asserted-by":"publisher","first-page":"1170","DOI":"10.1016\/j.ins.2019.10.035","volume":"512","author":"Z Tong","year":"2020","unstructured":"Tong Z, Chen H, Deng X, Li K, Li K (2020) A scheduling scheme in the cloud computing environment using deep q-learning. Inf Sci 512:1170\u20131191","journal-title":"Inf Sci"},{"key":"5990_CR25","first-page":"2332","volume":"34","author":"UK Jena","year":"2022","unstructured":"Jena UK, Das PK, Kabat MR (2022) Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment. J King Saud Univ Comput Inf Sci 34:2332\u20132342","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"5990_CR26","doi-asserted-by":"publisher","first-page":"42735","DOI":"10.1109\/ACCESS.2019.2907615","volume":"7","author":"M Gamal","year":"2019","unstructured":"Gamal M, Rizk R, Mahdi H, Elnaghi BE (2019) Osmotic bio-inspired load balancing algorithm in cloud computing. IEEE Access 7:42735\u201342744","journal-title":"IEEE Access"},{"key":"5990_CR27","doi-asserted-by":"publisher","first-page":"3975","DOI":"10.1007\/s12652-019-01631-5","volume":"11","author":"A Ragmani","year":"2020","unstructured":"Ragmani A, Elomri A, Abghour N, Moussaid K, Rida M (2020) Faco: a hybrid fuzzy ant colony optimization algorithm for virtual machine scheduling in high-performance cloud computing. J Ambient Intell Hum Comput 11:3975\u20133987","journal-title":"J Ambient Intell Hum Comput"},{"key":"5990_CR28","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.asoc.2019.105627","volume":"83","author":"D Chaudhary","year":"2019","unstructured":"Chaudhary D, Kumar B (2019) Cost optimized hybrid genetic-gravitational search algorithm for load scheduling in cloud computing. Appl Soft Comput J 83:10","journal-title":"Appl Soft Comput J"},{"key":"5990_CR29","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.compeleceng.2017.12.032","volume":"69","author":"A Satpathy","year":"2018","unstructured":"Satpathy A, Addya SK, Turuk AK, Majhi B, Sahoo G (2018) Crow search based virtual machine placement strategy in cloud data centers with live migration. Comput Electric Eng 69:334\u2013350","journal-title":"Comput Electric Eng"},{"key":"5990_CR30","doi-asserted-by":"publisher","first-page":"3335","DOI":"10.1016\/j.asej.2017.11.006","volume":"9","author":"AS Abohamama","year":"2018","unstructured":"Abohamama AS, Alrahmawy MF, Elsoud MA (2018) Improving the dependability of cloud environment for hosting real time applications. Ain Shams Eng J 9:3335\u20133346","journal-title":"Ain Shams Eng J"},{"key":"5990_CR31","doi-asserted-by":"publisher","first-page":"18616","DOI":"10.1109\/ACCESS.2018.2810214","volume":"6","author":"H Han","year":"2018","unstructured":"Han H, Bao W, Zhu X, Feng X, Zhou W (2018) Fault-tolerant scheduling for hybrid real-time tasks based on CPB model in cloud. IEEE Access 6:18616\u201318629","journal-title":"IEEE Access"},{"key":"5990_CR32","doi-asserted-by":"publisher","first-page":"77987","DOI":"10.1109\/ACCESS.2020.2977089","volume":"8","author":"H Sun","year":"2020","unstructured":"Sun H, Yu H, Fan G, Chen L (2020) Qos-aware task placement with fault-tolerance in the edge-cloud. IEEE Access 8:77987\u201378003","journal-title":"IEEE Access"},{"key":"5990_CR33","doi-asserted-by":"publisher","first-page":"14637","DOI":"10.1007\/s10586-018-2375-9","volume":"22","author":"S Chinnathambi","year":"2019","unstructured":"Chinnathambi S, Santhanam A, Rajarathinam J, Senthilkumar M (2019) Scheduling and checkpointing optimization algorithm for byzantine fault tolerance in cloud clusters. Clust Comput 22:14637\u201314650","journal-title":"Clust Comput"},{"key":"5990_CR34","doi-asserted-by":"publisher","first-page":"2049","DOI":"10.1007\/s00607-020-00813-w","volume":"102","author":"A Ghasemi","year":"2020","unstructured":"Ghasemi A, Haghighat AT (2020) A multi-objective load balancing algorithm for virtual machine placement in cloud data centers based on machine learning. Computing 102:2049\u20132072","journal-title":"Computing"},{"key":"5990_CR35","doi-asserted-by":"publisher","first-page":"6172","DOI":"10.1109\/TII.2019.2959258","volume":"16","author":"X Xu","year":"2020","unstructured":"Xu X, Mo R, Dai F, Lin W, Wan S, Dou W (2020) Dynamic resource provisioning with fault tolerance for data-intensive meteorological workflows in cloud. IEEE Trans Ind Inform 16:6172\u20136181","journal-title":"IEEE Trans Ind Inform"},{"key":"5990_CR36","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"5990_CR37","doi-asserted-by":"publisher","first-page":"3566","DOI":"10.1016\/j.proeng.2012.06.412","volume":"38","author":"T Goyal","year":"2012","unstructured":"Goyal T, Singh A, Agrawal A (2012) Cloudsim: simulator for cloud computing infrastructure and modeling. Proc Eng 38:3566\u20133572","journal-title":"Proc Eng"},{"key":"5990_CR38","unstructured":"Filho MC, Oliveira RL, Monteiro CC, In\u00e1cio PR, Freire MM (2017) Cloudsim plus: A cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness. In: Proceedings of the IM 2017\u20132017 IFIP\/IEEE International Symposium on Integrated Network and Service Management"},{"key":"5990_CR39","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.future.2014.11.019","volume":"51","author":"MA Vasile","year":"2015","unstructured":"Vasile MA, Pop F, Tutueanu RI, Cristea V, Ko\u0142odziej J (2015) Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing. Future Gener Comput Syst 51:61\u201371","journal-title":"Future Gener Comput Syst"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-024-05990-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-024-05990-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-024-05990-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T06:52:10Z","timestamp":1717483930000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-024-05990-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,6]]},"references-count":39,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["5990"],"URL":"https:\/\/doi.org\/10.1007\/s11227-024-05990-5","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3088655\/v1","asserted-by":"object"}]},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,6]]},"assertion":[{"value":"9 February 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 March 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This declaration is not applicable for the purpose of our work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors have no competing interests as defined by Springer or other interests that might be perceived to influence the results and\/or discussion reported in this paper.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}