{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T18:18:32Z","timestamp":1783102712327,"version":"3.54.6"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"23","license":[{"start":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T00:00:00Z","timestamp":1726272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T00:00:00Z","timestamp":1726272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-024-19887-1","type":"journal-article","created":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T02:02:42Z","timestamp":1726279362000},"page":"26977-26996","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Adaptive Tasmanian Devil Optimization algorithm based efficient task scheduling for big data application in a cloud computing environment"],"prefix":"10.1007","volume":"84","author":[{"given":"Ashis Kumar","family":"Mishra","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Subasis","family":"Mohapatra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pradip Kumar","family":"Sahu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,9,14]]},"reference":[{"issue":"1","key":"19887_CR1","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1155\/2023\/6516482","volume":"2023","author":"SP Praveen","year":"2023","unstructured":"Praveen SP, Ghasempoor H, Shahabi N, Izanloo F (2023) A hybrid gravitational emulation local search-based algorithm for task scheduling in cloud computing. Math Probl Eng 2023(1):9. https:\/\/doi.org\/10.1155\/2023\/6516482","journal-title":"Math Probl Eng"},{"issue":"7","key":"19887_CR2","doi-asserted-by":"publisher","first-page":"4294","DOI":"10.1109\/TGRS.2018.2890513","volume":"57","author":"J Sun","year":"2019","unstructured":"Sun J, Zhang Y, Wu Z, Zhu Y, Yin X, Ding Z, Wei Z, Plaza J, Plaza A (2019) An efficient and scalable framework for processing remotely sensed big data in cloud computing environments. IEEE Trans Geosci Remote Sens 57(7):4294\u20134308","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"19887_CR3","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.procs.2021.03.016","volume":"184","author":"S Swarup","year":"2021","unstructured":"Swarup S, Shakshuki EM, Yasar A (2021) Task scheduling in cloud using deep reinforcement learning. Procedia Comput Sci 184:42\u201351","journal-title":"Procedia Comput Sci"},{"key":"19887_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2022\/4290382","volume":"2022","author":"Z Peng","year":"2022","unstructured":"Peng Z, Pirozmand P, Motevalli M, Esmaeili A (2022) Genetic algorithm-based task scheduling in cloud computing using mapreduce framework. Math Probl Eng 2022:1\u201311. https:\/\/doi.org\/10.1155\/2022\/4290382","journal-title":"Math Probl Eng"},{"issue":"2","key":"19887_CR5","doi-asserted-by":"publisher","first-page":"e5442","DOI":"10.1002\/cpe.5442","volume":"32","author":"MZ Hasan","year":"2020","unstructured":"Hasan MZ, Al-Rizzo H (2020) Task scheduling in Internet of Things cloud environment using a robust particle swarm optimization. Concurr Comput Pract Exp 32(2):e5442","journal-title":"Concurr Comput Pract Exp"},{"key":"19887_CR6","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1016\/j.future.2019.11.019","volume":"110","author":"G Rjoub","year":"2020","unstructured":"Rjoub G, Bentahar J, Wahab OA (2020) BigTrustScheduling: trust-aware big data task scheduling approach in cloud computing environments. Futur Gener Comput Syst 110:1079\u20131097","journal-title":"Futur Gener Comput Syst"},{"key":"19887_CR7","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.future.2015.08.006","volume":"56","author":"M Abdullahi","year":"2016","unstructured":"Abdullahi M, Ngadi MA (2016) Symbiotic organism search optimization based task scheduling in cloud computing environment. Futur Gener Comput Syst 56:640\u2013650","journal-title":"Futur Gener Comput Syst"},{"key":"19887_CR8","series-title":"Springer","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/978-3-642-25789-6_32","volume-title":"Recent advances in computer science and information engineering: volume 2","author":"G Ming","year":"2012","unstructured":"Ming G, Li H (2012) An improved algorithm based on max-min for cloud task scheduling. In: Qian Z, Cao L, Weilian S, Wang T, Yang H (eds) Recent advances in computer science and information engineering: volume 2. Springer. Berlin Heidelberg, Berlin, pp 217\u2013223. https:\/\/doi.org\/10.1007\/978-3-642-25789-6_32"},{"issue":"4","key":"19887_CR9","first-page":"259","volume":"2","author":"U Bhoi","year":"2013","unstructured":"Bhoi U, Ramanuj PN (2013) Enhanced max-min task scheduling algorithm in cloud computing. Int J Appl Innov Eng Manag (IJAIEM) 2(4):259\u2013264","journal-title":"Int J Appl Innov Eng Manag (IJAIEM)"},{"issue":"8","key":"19887_CR10","doi-asserted-by":"publisher","first-page":"1166","DOI":"10.3923\/itj.2007.1166.1170","volume":"6","author":"EU Munir","year":"2007","unstructured":"Munir EU, Li J, Shi S (2007) QoSsufferage heuristic for independent task scheduling in grid. Inf Technol J 6(8):1166\u20131170","journal-title":"Inf Technol J"},{"issue":"23","key":"19887_CR11","doi-asserted-by":"publisher","first-page":"e5919","DOI":"10.1002\/cpe.5919","volume":"33","author":"G Rjoub","year":"2021","unstructured":"Rjoub G, Bentahar J, Abdel Wahab O, Saleh Bataineh A (2021) Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurr Comput Pract Exp 33(23):e5919","journal-title":"Concurr Comput Pract Exp"},{"key":"19887_CR12","doi-asserted-by":"publisher","first-page":"49412","DOI":"10.1109\/ACCESS.2022.3168288","volume":"10","author":"D Mukherjee","year":"2022","unstructured":"Mukherjee D, Ghosh S, Pal S, Aly AA, Le DN (2022) Adaptive scheduling algorithm based task loading in cloud data centers. IEEE Access 10:49412\u201349421","journal-title":"IEEE Access"},{"issue":"4","key":"19887_CR13","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1007\/s10586-018-2811-x","volume":"21","author":"H Ben Alla","year":"2018","unstructured":"Ben Alla H, Ben Alla S, Touhafi A, Ezzati A (2018) A novel task scheduling approach based on dynamic queues and hybrid meta-heuristic algorithms for cloud computing environment. Clust Comput 21(4):1797\u20131820","journal-title":"Clust Comput"},{"key":"19887_CR14","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1007\/s10586-019-02983-5","volume":"23","author":"X Huang","year":"2020","unstructured":"Huang X, Li C, Chen H, An D (2020) Task scheduling in cloud computing using particle swarm optimization with time varying inertia weight strategies. Clust Comput 23:1137\u20131147","journal-title":"Clust Comput"},{"issue":"3","key":"19887_CR15","doi-asserted-by":"publisher","first-page":"1242","DOI":"10.3390\/s22031242","volume":"22","author":"PK Bal","year":"2022","unstructured":"Bal PK, Mohapatra SK, Das TK, Srinivasan K, Hu YC (2022) A joint resource allocation, security with efficient task scheduling in cloud computing using hybrid machine learning techniques. Sensors 22(3):1242","journal-title":"Sensors"},{"issue":"6","key":"19887_CR16","doi-asserted-by":"publisher","first-page":"5104","DOI":"10.3390\/su15065104","volume":"15","author":"S Pal","year":"2023","unstructured":"Pal S, Jhanjhi NZ, Abdulbaqi AS, Akila D, Alsubaei FS, Almazroi AA (2023) An intelligent task scheduling model for hybrid internet of things and cloud environment for big data applications. Sustainability 15(6):5104","journal-title":"Sustainability"},{"key":"19887_CR17","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.future.2020.02.018","volume":"108","author":"D Ding","year":"2020","unstructured":"Ding D, Fan X, Zhao Y, Kang K, Yin Q, Zeng J (2020) Q-learning based dynamic task scheduling for energy-efficient cloud computing. Futur Gener Comput Syst 108:361\u2013371","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"19887_CR18","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1007\/s10586-021-03432-y","volume":"25","author":"A Belgacem","year":"2022","unstructured":"Belgacem A, Beghdad-Bey K (2022) Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost. Clust Comput 25(1):579\u2013595","journal-title":"Clust Comput"},{"issue":"7","key":"19887_CR19","doi-asserted-by":"publisher","first-page":"5605","DOI":"10.1007\/s11831-022-09778-9","volume":"29","author":"S Sharma","year":"2022","unstructured":"Sharma S, Kumar V (2022) A comprehensive review on multi-objective optimization techniques: past, present and future. Arch Comput Methods Eng 29(7):5605\u20135633","journal-title":"Arch Comput Methods Eng"},{"key":"19887_CR20","doi-asserted-by":"publisher","first-page":"9599","DOI":"10.1007\/s13369-019-03817-7","volume":"44","author":"M Khanna","year":"2019","unstructured":"Khanna M, Chaudhary A, Toofani A, Pawar A (2019) Performance comparison of multi-objective algorithms for test case prioritization during web application testing. Arab J Sci Eng 44:9599\u20139625","journal-title":"Arab J Sci Eng"},{"issue":"3","key":"19887_CR21","doi-asserted-by":"publisher","first-page":"81","DOI":"10.4018\/IJAMC.2021070104","volume":"12","author":"M Khanna","year":"2021","unstructured":"Khanna M, Chauhan N, Sharma DK, Singh LK (2021) A multi-objective approach for test suite reduction during testing of web applications: a search-based approach. Int J Appl Metaheuristic Comput (IJAMC) 12(3):81\u2013122","journal-title":"Int J Appl Metaheuristic Comput (IJAMC)"},{"issue":"6","key":"19887_CR22","doi-asserted-by":"publisher","first-page":"17773","DOI":"10.1007\/s11042-023-16236-6","volume":"83","author":"MunishKhanna","year":"2024","unstructured":"MunishKhanna, Singh LK, Garg H (2024) A novel approach for human diseases prediction using nature inspired computing & machine learning approach. Multimed Tools Appl 83(6):17773\u201317809","journal-title":"Multimed Tools Appl"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19887-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-19887-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19887-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T00:16:17Z","timestamp":1757117777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-19887-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,14]]},"references-count":22,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["19887"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-19887-1","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,14]]},"assertion":[{"value":"24 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 September 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interests"}}]}}