{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T18:41:51Z","timestamp":1781376111620,"version":"3.54.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T00:00:00Z","timestamp":1642896000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T00:00:00Z","timestamp":1642896000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100006760","name":"Centre for Teaching and Learning, Universiti Teknologi Malaysia","doi-asserted-by":"publisher","award":["UTM\/RUG\/04G80"],"award-info":[{"award-number":["UTM\/RUG\/04G80"]}],"id":[{"id":"10.13039\/501100006760","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s12652-021-03632-9","type":"journal-article","created":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T00:04:21Z","timestamp":1642896261000},"page":"8839-8850","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["An adaptive symbiotic organisms search for constrained task scheduling in cloud computing"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7844-9527","authenticated-orcid":false,"given":"Mohammed","family":"Abdullahi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Md Asri","family":"Ngadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salihu Idi","family":"Dishing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shafi\u2019i Muhammad","family":"Abdulhamid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,23]]},"reference":[{"key":"3632_CR1","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.jnca.2019.02.005","volume":"133","author":"M Abdullahi","year":"2019","unstructured":"Abdullahi M, Ngadi MA, Dishing SI, Abdulhamid SM, Ahmad BI (2019) An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment. J Netw Comput Appl 133:60\u201374. https:\/\/doi.org\/10.1016\/j.jnca.2019.02.005","journal-title":"J Netw Comput Appl"},{"key":"3632_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.12.010","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. https:\/\/doi.org\/10.1016\/j.jnca.2018.12.010","journal-title":"J Netw Comput Appl"},{"key":"3632_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02730-4","author":"M Agarwal","year":"2021","unstructured":"Agarwal M, Srivastava GMS (2021) Opposition-based learning inspired particle swarm optimization (OPSO) scheme for task scheduling problem in cloud computing. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-020-02730-4","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"3632_CR4","doi-asserted-by":"publisher","DOI":"10.14569\/ijacsa.2017.081110","author":"N Almezeini","year":"2017","unstructured":"Almezeini N, Hafez A (2017) Task scheduling in cloud computing using lion optimization algorithm. Int J Adv Comput Sci Appl. https:\/\/doi.org\/10.14569\/ijacsa.2017.081110","journal-title":"Int J Adv Comput Sci Appl"},{"key":"3632_CR5","unstructured":"Amazon (2021) Amazon Web Service. Amazon EC2 Spot Instances Pricing. https:\/\/aws.amazon.com\/ec2\/spot\/pricing\/"},{"key":"3632_CR6","doi-asserted-by":"publisher","unstructured":"Ayala HVH, Klein CE, Mariani VC, dos Santos Coelho L (2017) Multi-objective symbiotic search algorithm approaches for electromagnetic optimization. IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation. https:\/\/doi.org\/10.1109\/CEFC.2016.7815989","DOI":"10.1109\/CEFC.2016.7815989"},{"key":"3632_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113907","author":"YA Baysal","year":"2021","unstructured":"Baysal YA, Ketenci S, Altas IH, Kayikcioglu T (2021) Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2020.113907","journal-title":"Expert Syst Appl"},{"key":"3632_CR8","doi-asserted-by":"publisher","DOI":"10.1061\/(asce)cp.1943-5487.0000163","author":"M-Y Cheng","year":"2012","unstructured":"Cheng M-Y, Lien L-C (2012) Hybrid artificial intelligence-based pba for benchmark functions and facility layout design optimization. J Comput Civ Eng. https:\/\/doi.org\/10.1061\/(asce)cp.1943-5487.0000163","journal-title":"J Comput Civ Eng"},{"key":"3632_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2014.03.007","author":"MY Cheng","year":"2014","unstructured":"Cheng MY, Prayogo D (2014) Symbiotic organisms search: a new metaheuristic optimization algorithm. Comput Struct. https:\/\/doi.org\/10.1016\/j.compstruc.2014.03.007","journal-title":"Comput Struct"},{"key":"3632_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.01.005","author":"A Choudhary","year":"2018","unstructured":"Choudhary A, Gupta I, Singh V, Jana PK (2018) A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing. Futur Gener Comput Syst. https:\/\/doi.org\/10.1016\/j.future.2018.01.005","journal-title":"Futur Gener Comput Syst"},{"key":"3632_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-4409-5_11","author":"D Cui","year":"2021","unstructured":"Cui D, Peng Z, Li Q, He J, Zheng L, Yuan Y (2021) A survey on cloud workflow collaborative adaptive scheduling. Adv Intell Syst Comput. https:\/\/doi.org\/10.1007\/978-981-15-4409-5_11","journal-title":"Adv Intell Syst Comput"},{"key":"3632_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45356-3_83","author":"K Deb","year":"2000","unstructured":"Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Lecture Notes Comput Sci. https:\/\/doi.org\/10.1007\/3-540-45356-3_83","journal-title":"Lecture Notes Comput Sci"},{"key":"3632_CR13","doi-asserted-by":"publisher","DOI":"10.1109\/4235996017","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput. https:\/\/doi.org\/10.1109\/4235996017","journal-title":"IEEE Trans Evol Comput"},{"key":"3632_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.01.023","author":"MA Elaziz","year":"2019","unstructured":"Elaziz MA, Xiong S, Jayasena KPN, Li L (2019) Task scheduling in cloud computing based on hybrid moth search algorithm and differential evolution. Knowl-Based Syst. https:\/\/doi.org\/10.1016\/j.knosys.2019.01.023","journal-title":"Knowl-Based Syst"},{"key":"3632_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-017-9419-y","author":"SS Gill","year":"2018","unstructured":"Gill SS, Buyya R, Chana I, Singh M, Abraham A (2018) BULLET: particle swarm optimization based scheduling technique for provisioned cloud resources. J Netw Syst Manag. https:\/\/doi.org\/10.1007\/s10922-017-9419-y","journal-title":"J Netw Syst Manag"},{"key":"3632_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-020-09533-z","author":"M Hosseinzadeh","year":"2020","unstructured":"Hosseinzadeh M, Ghafour MY, Hama HK, Vo B, Khoshnevis A (2020) Multi-Objective task and workflow scheduling approaches in cloud computing: a comprehensive review. J Grid sComput. https:\/\/doi.org\/10.1007\/s10723-020-09533-z","journal-title":"J Grid sComput"},{"key":"3632_CR17","unstructured":"HPC2N (2015) The HPC2N Seth log. HPC2N Workload Log. https:\/\/www.cs.huji.ac.il\/labs\/parallel\/workload\/l_hpc2n\/index.html"},{"key":"3632_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.10.008","author":"L Jiao","year":"2014","unstructured":"Jiao L, Luo J, Shang R, Liu F (2014) A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems. Appl Soft Comput J. https:\/\/doi.org\/10.1016\/j.asoc.2013.10.008","journal-title":"Appl Soft Comput J"},{"key":"3632_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2481-7","author":"M Kenan Dosoglu","year":"2018","unstructured":"Kenan Dosoglu M, Guvenc U, Duman S, Sonmez Y, Tolga Kahraman H (2018) Symbiotic organisms search optimization algorithm for economic\/emission dispatch problem in power systems. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-016-2481-7","journal-title":"Neural Comput Appl"},{"key":"3632_CR20","doi-asserted-by":"publisher","DOI":"10.4018\/ijmfmp.2015010104","author":"J Kennedy","year":"1995","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. IEEE Int Conf Neural Netw Conf Proc. https:\/\/doi.org\/10.4018\/ijmfmp.2015010104","journal-title":"IEEE Int Conf Neural Netw Conf Proc"},{"key":"3632_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-020-09577-2","author":"JK Konjaang","year":"2021","unstructured":"Konjaang JK, Xu L (2021) Meta-heuristic approaches for effective scheduling in infrastructure as a service cloud: a systematic review. J Netw Syst Manag. https:\/\/doi.org\/10.1007\/s10922-020-09577-2","journal-title":"J Netw Syst Manag"},{"key":"3632_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03005-2","author":"N Malarvizhi","year":"2021","unstructured":"Malarvizhi N, Aswini J, Sasikala S, Chakravarthy MH, Neeba EA (2021) Multi-parameter optimization for load balancing with effective task scheduling and resource sharing. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-021-03005-2","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"3632_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-021-09599-4","author":"A Mohammadzadeh","year":"2021","unstructured":"Mohammadzadeh A, Masdari M, Gharehchopogh FS (2021) Energy and cost-aware workflow scheduling in cloud computing data centers using a multi-objective optimization algorithm. J Netw Syst Manag. https:\/\/doi.org\/10.1007\/s10922-021-09599-4","journal-title":"J Netw Syst Manag"},{"key":"3632_CR24","unstructured":"NASA (2011) The NASA Ames iPSC\/860 log. NASA Ames IPSC\/860. https:\/\/www.cs.huji.ac.il\/labs\/parallel\/workload\/l_nasa_ipsc\/"},{"key":"3632_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.icte.2018.07.002","author":"G Natesan","year":"2019","unstructured":"Natesan G, Chokkalingam A (2019) Task scheduling in heterogeneous cloud environment using mean grey wolf optimization algorithm. ICT Express. https:\/\/doi.org\/10.1016\/j.icte.2018.07.002","journal-title":"ICT Express"},{"key":"3632_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.11.002","author":"P Paknejad","year":"2021","unstructured":"Paknejad P, Khorsand R, Ramezanpour M (2021) Chaotic improved PICEA-g-based multi-objective optimization for workflow scheduling in cloud environment. Futur Gener Comput Syst. https:\/\/doi.org\/10.1016\/j.future.2020.11.002","journal-title":"Futur Gener Comput Syst"},{"key":"3632_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.04.030","author":"A Panda","year":"2016","unstructured":"Panda A, Pani S (2016) A symbiotic organisms search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems. Appl Soft Comput J. https:\/\/doi.org\/10.1016\/j.asoc.2016.04.030","journal-title":"Appl Soft Comput J"},{"key":"3632_CR28","doi-asserted-by":"crossref","unstructured":"Pham DT, Ghanbarzadeh KE, Otri S, Rahim S, Zaidi M (2011) The bees algorithm\u2013a novel tool for complex optimisation. Intelligent Production Machines and Systems-2nd I* PROMS Virtual International Conference 3\u201314 July 2006.","DOI":"10.1016\/B978-008045157-2\/50081-X"},{"key":"3632_CR29","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2008.927706","author":"AK Qin","year":"2009","unstructured":"Qin AK, Huang VL, Suganthan PN (2009) Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evol Comput. https:\/\/doi.org\/10.1109\/TEVC.2008.927706","journal-title":"IEEE Trans Evol Comput"},{"key":"3632_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02138-0","author":"S Ramamoorthy","year":"2020","unstructured":"Ramamoorthy S, Ravikumar G, Saravana Balaji B, Balakrishnan S, Venkatachalam K (2020) MCAMO: multi constraint aware multi-objective resource scheduling optimization technique for cloud infrastructure services. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-020-02138-0","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"3632_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05080-6","author":"S Saha","year":"2021","unstructured":"Saha S, Mukherjee V (2021) A novel multi-objective modified symbiotic organisms search algorithm for optimal allocation of distributed generation in radial distribution system. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05080-6","journal-title":"Neural Comput Appl"},{"key":"3632_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.jestch.2019.11.002","author":"MS Sanaj","year":"2020","unstructured":"Sanaj MS, Joe Prathap PM (2020) Nature inspired chaotic squirrel search algorithm (CSSA) for multi objective task scheduling in an IAAS cloud computing atmosphere. Eng Sci Technol Int J. https:\/\/doi.org\/10.1016\/j.jestch.2019.11.002","journal-title":"Eng Sci Technol Int J"},{"key":"3632_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.01.036","author":"F Tao","year":"2014","unstructured":"Tao F, Feng Y, Zhang L, Liao TW (2014) CLPS-GA: A case library and Pareto solution-based hybrid genetic algorithm for energy-aware cloud service scheduling. Appl Soft Comput J. https:\/\/doi.org\/10.1016\/j.asoc.2014.01.036","journal-title":"Appl Soft Comput J"},{"key":"3632_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.01.068","author":"GG Tejani","year":"2019","unstructured":"Tejani GG, Pholdee N, Bureerat S, Prayogo D, Gandomi AH (2019) Structural optimization using multi-objective modified adaptive symbiotic organisms search. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2019.01.068","journal-title":"Expert Syst Appl"},{"key":"3632_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.11.016","author":"DH Tran","year":"2016","unstructured":"Tran DH, Cheng MY, Prayogo D (2016) A novel multiple objective symbiotic organisms search (MOSOS) for time-cost-labor utilization tradeoff problem. Knowl-Based Syst. https:\/\/doi.org\/10.1016\/j.knosys.2015.11.016","journal-title":"Knowl-Based Syst"},{"key":"3632_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcde.2017.11.008","author":"DH Tran","year":"2018","unstructured":"Tran DH, Luong-Duc L, Duong MT, Le TN, Pham AD (2018) Opposition multiple objective symbiotic organisms search (OMOSOS) for time, cost, quality and work continuity tradeoff in repetitive projects. J Comput Des Eng. https:\/\/doi.org\/10.1016\/j.jcde.2017.11.008","journal-title":"J Comput Des Eng"},{"key":"3632_CR37","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02614-7","author":"X Wei","year":"2020","unstructured":"Wei X (2020) Task scheduling optimization strategy using improved ant colony optimization algorithm in cloud computing. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-020-02614-7","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"3632_CR38","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2063-8","author":"G Yao","year":"2017","unstructured":"Yao G, Ding Y, Jin Y, Hao K (2017) Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system. Soft Comput. https:\/\/doi.org\/10.1007\/s00500-016-2063-8","journal-title":"Soft Comput"},{"key":"3632_CR39","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2446459","author":"Z Zhu","year":"2016","unstructured":"Zhu Z, Zhang G, Li M, Liu X (2016) Evolutionary multi-objective workflow scheduling in cloud. IEEE Trans Parallel Distrib Syst. https:\/\/doi.org\/10.1109\/TPDS.2015.2446459","journal-title":"IEEE Trans Parallel Distrib Syst"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-03632-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-021-03632-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-03632-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T21:47:16Z","timestamp":1686088036000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-021-03632-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,23]]},"references-count":39,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["3632"],"URL":"https:\/\/doi.org\/10.1007\/s12652-021-03632-9","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,23]]},"assertion":[{"value":"25 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 December 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}