{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T00:36:06Z","timestamp":1786149366870,"version":"3.56.0"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:00:00Z","timestamp":1670457600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:00:00Z","timestamp":1670457600000},"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":["Innovations Syst Softw Eng"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s11334-022-00508-9","type":"journal-article","created":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T17:03:01Z","timestamp":1670518981000},"page":"81-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["A novel hybrid multi-resource load balancing approach using ant colony optimization with Tabu search for cloud computing"],"prefix":"10.1007","volume":"19","author":[{"given":"Jyotsna P.","family":"Gabhane","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7409-9814","authenticated-orcid":false,"given":"Sunil","family":"Pathak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nita M.","family":"Thakare","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,12,8]]},"reference":[{"key":"508_CR1","doi-asserted-by":"publisher","unstructured":"Patidar S, Rane D, Jain P (2012) A survey paper on cloud computing. In: 2012 second international conference on advanced computing and communication technologies, Rohtak, Haryana, India, pp. 394\u2013398. https:\/\/doi.org\/10.1109\/ACCT.2012.15","DOI":"10.1109\/ACCT.2012.15"},{"key":"508_CR2","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.future.2017.09.020","volume":"79","author":"B Varghese","year":"2018","unstructured":"Varghese B, Buyya R (2018) Next generation cloud computing: New trends and research directions. Future Gener Comput Syst 79:849\u2013861. https:\/\/doi.org\/10.1016\/j.future.2017.09.020","journal-title":"Future Gener Comput Syst"},{"key":"508_CR3","doi-asserted-by":"publisher","unstructured":"Shaw SB, Singh AK (2014) A survey on scheduling and load balancing techniques in cloud computing environment. In: 2014 international conference on computer and communication technology (ICCCT), Allahabad, India, pp 87\u201395. https:\/\/doi.org\/10.1109\/ICCCT.2014.7001474","DOI":"10.1109\/ICCCT.2014.7001474"},{"key":"508_CR4","doi-asserted-by":"crossref","unstructured":"Hussain N, Rani P (2020) Comparative studied based on attack resilient and efficient protocol with intrusion detection system based on deep neural network for vehicular system security. In: Distributed artificial intelligence, CRC Press, pp 217\u2013236","DOI":"10.1201\/9781003038467-13"},{"key":"508_CR5","doi-asserted-by":"crossref","unstructured":"Hussain N, Rani P, Chouhan H, Gaur US (2022) Cyber security and privacy of connected and automated vehicles (CAVs)-based federated learning: challenges, opportunities, and open issues. In: Federated learning for IoT applications. Springer, pp 169\u2013183","DOI":"10.1007\/978-3-030-85559-8_11"},{"key":"508_CR6","doi-asserted-by":"publisher","unstructured":"Rani P, Hussain N, Khan RAH, Sharma Y, Shukla PK (2021) Vehicular intelligence system: time-based vehicle next location prediction in software-defined internet of vehicles (SDN-IOV) for the smart cities. In: Al-Turjman F, Nayyar A, Devi A, Shukla PK (eds) Intelligence of things: AI-IOT based critical-applications and innovations. Springer, Cham, pp 35\u201354. https:\/\/doi.org\/10.1007\/978-3-030-82800-4_2","DOI":"10.1007\/978-3-030-82800-4_2"},{"issue":"11","key":"508_CR7","doi-asserted-by":"publisher","first-page":"4785","DOI":"10.1007\/s12652-020-01747-z","volume":"11","author":"A Jyoti","year":"2020","unstructured":"Jyoti A, Shrimali M, Tiwari S, Singh HP (2020) Cloud computing using load balancing and service broker policy for IT service: a taxonomy and survey. J Ambient Intell Hum Comput 11(11):4785\u20134814. https:\/\/doi.org\/10.1007\/s12652-020-01747-z","journal-title":"J Ambient Intell Hum Comput"},{"issue":"1","key":"508_CR8","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1186\/s13677-019-0146-7","volume":"8","author":"S Afzal","year":"2019","unstructured":"Afzal S, Kavitha G (2019) Load balancing in cloud computing: a hierarchical taxonomical classification. J Cloud Comput 8(1):22. https:\/\/doi.org\/10.1186\/s13677-019-0146-7","journal-title":"J Cloud Comput"},{"key":"508_CR9","doi-asserted-by":"publisher","unstructured":"Ren H, Lan Y, Yin C (2012) The load balancing algorithm in cloud computing environment. In: Proceedings of 2012 2nd international conference on computer science and network technology, Changchun, China, pp 925\u2013928. https:\/\/doi.org\/10.1109\/ICCSNT.2012.6526078","DOI":"10.1109\/ICCSNT.2012.6526078"},{"issue":"3","key":"508_CR10","doi-asserted-by":"publisher","first-page":"64","DOI":"10.5815\/ijmecs.2016.03.08","volume":"8","author":"M Mesbahi","year":"2016","unstructured":"Mesbahi M, Rahmani AM (2016) Load balancing in cloud computing: a state of the art survey. Int J Mod Educ Comput Sci 8(3):64","journal-title":"Int J Mod Educ Comput Sci"},{"issue":"12","key":"508_CR11","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4123","volume":"29","author":"M Xu","year":"2017","unstructured":"Xu M, Tian W, Buyya R (2017) A survey on load balancing algorithms for virtual machines placement in cloud computing: a survey on load balancing algorithms for VM placement in cloud computing. Concurr Comput Pract Exp 29(12):e4123. https:\/\/doi.org\/10.1002\/cpe.4123","journal-title":"Concurr Comput Pract Exp"},{"issue":"3","key":"508_CR12","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1007\/s10586-015-0460-x","volume":"18","author":"JO Gutierrez-Garcia","year":"2015","unstructured":"Gutierrez-Garcia JO, Ramirez-Nafarrate A (2015) Agent-based load balancing in cloud data centers. Clust Comput 18(3):1041\u20131062. https:\/\/doi.org\/10.1007\/s10586-015-0460-x","journal-title":"Clust Comput"},{"key":"508_CR13","doi-asserted-by":"publisher","unstructured":"Kerr A, Diamos G, Yalamanchili S (2009) A characterization and analysis of PTX kernels. In: 2009 IEEE international symposium on workload characterization (IISWC), Austin, TX, USA, pp. 3\u201312. https:\/\/doi.org\/10.1109\/IISWC.2009.5306801.","DOI":"10.1109\/IISWC.2009.5306801"},{"key":"508_CR14","doi-asserted-by":"publisher","unstructured":"Gabhane JP, Pathak S, Thakare NM (2021) Metaheuristics algorithms for virtual machine placement in cloud computing environments\u2014a review. In: Pandian A, Fernando X, Islam SMS (eds) Computer networks, big data and IoT. Lecture notes on data engineering and communications technologies, vol 66. Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-16-0965-7_28","DOI":"10.1007\/978-981-16-0965-7_28"},{"issue":"1","key":"508_CR15","first-page":"28","volume":"1","author":"R Maheshwari","year":"2013","unstructured":"Maheshwari R, Pathak S (2013) An optimal framework for safe data transmission in cloud environment without disturbing IP Layer. Inernation J Curr Issues Comput Sci 1(1):28\u201335","journal-title":"Inernation J Curr Issues Comput Sci"},{"key":"508_CR16","doi-asserted-by":"publisher","first-page":"118135","DOI":"10.1109\/ACCESS.2020.3003825","volume":"8","author":"M Junaid","year":"2020","unstructured":"Junaid M, Sohail A, Ahmed A, Baz A, Khan IA, Alhakami H (2020) A hybrid model for load balancing in cloud using file type formatting. IEEE Access 8:118135\u2013118155. https:\/\/doi.org\/10.1109\/ACCESS.2020.3003825","journal-title":"IEEE Access"},{"issue":"3","key":"508_CR17","first-page":"569","volume":"14","author":"Y Fahim","year":"2018","unstructured":"Fahim Y et al (2018) Load balancing in cloud computing using meta-heuristic algorithm. J Inf Process Syst 14(3):569\u2013589","journal-title":"J Inf Process Syst"},{"key":"508_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2020.01.012","author":"UK Jena","year":"2020","unstructured":"Jena UK, Das PK, Kabat MR (2020) Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment. J King Saud Univ Comput Inf Sci. https:\/\/doi.org\/10.1016\/j.jksuci.2020.01.012","journal-title":"J King Saud Univ Comput Inf Sci."},{"key":"508_CR19","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.6513","author":"MN Aktan","year":"2021","unstructured":"Aktan MN, Bulut H (2021) Metaheuristic task scheduling algorithms for cloud computing environments. Concurr Comput Pract Exp. https:\/\/doi.org\/10.1002\/cpe.6513","journal-title":"Concurr Comput Pract Exp"},{"issue":"4","key":"508_CR20","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/s10922-021-09602-y","volume":"29","author":"S Janakiraman","year":"2021","unstructured":"Janakiraman S, Priya MD (2021) Improved artificial bee colony using monarchy butterfly optimization algorithm for load balancing (IABC-MBOA-LB) in cloud environments. J Netw Syst Manag 29(4):39. https:\/\/doi.org\/10.1007\/s10922-021-09602-y","journal-title":"J Netw Syst Manag"},{"key":"508_CR21","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.jpdc.2020.03.022","volume":"142","author":"AFS Devaraj","year":"2020","unstructured":"Devaraj AFS, Elhoseny M, Dhanasekaran S, Lydia EL, Shankar K (2020) Hybridization of firefly and improved multi-objective particle swarm optimization algorithm for energy efficient load balancing in cloud computing environments. J Parallel Distrib Comput 142:36\u201345. https:\/\/doi.org\/10.1016\/j.jpdc.2020.03.022","journal-title":"J Parallel Distrib Comput"},{"issue":"3","key":"508_CR22","doi-asserted-by":"publisher","first-page":"353","DOI":"10.18280\/isi.240316","volume":"24","author":"A Gade","year":"2019","unstructured":"Gade A, Bhat M, Thakare N (2019) Adaptive league championship algorithm (ALCA) for independent task scheduling in cloud computing. Ing Syst Inf 24(3):353\u2013359. https:\/\/doi.org\/10.18280\/isi.240316","journal-title":"Ing Syst Inf"},{"issue":"1","key":"508_CR23","first-page":"64","volume":"8","author":"MA Alsaih","year":"2013","unstructured":"Alsaih MA, Latip R, Abdullah A, Subramaniam SK (2013) A Taxonomy of load balancing techniques in cloud computing. Int Rev Comput Softw 8(1):64\u201376","journal-title":"Int Rev Comput Softw"},{"key":"508_CR24","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3560167","author":"BP Mulla","year":"2020","unstructured":"Mulla BP, Krishna CR, Tickoo RK (2020) Load balancing algorithm for efficient VM allocation in heterogeneous cloud. SSRN Electron J. https:\/\/doi.org\/10.2139\/ssrn.3560167","journal-title":"SSRN Electron J"},{"key":"508_CR25","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. https:\/\/doi.org\/10.1109\/ACCESS.2021.3065308","journal-title":"IEEE Access"},{"key":"508_CR26","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.jnca.2017.04.007","volume":"88","author":"EJ Ghomi","year":"2017","unstructured":"Ghomi EJ, Rahmani AM, Qader NN (2017) Load-balancing algorithms in cloud computing: a survey. J Netw Comput Appl 88:50\u201371","journal-title":"J Netw Comput Appl"},{"issue":"6","key":"508_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3281010","volume":"51","author":"P Kumar","year":"2019","unstructured":"Kumar P, Kumar R (2019) Issues and challenges of load balancing techniques in cloud computing: a survey. ACM Comput Surv 51(6):1\u201335. https:\/\/doi.org\/10.1145\/3281010","journal-title":"ACM Comput Surv"},{"issue":"2","key":"508_CR28","doi-asserted-by":"publisher","first-page":"737","DOI":"10.24297\/ijct.v4i2C2.4194","volume":"4","author":"AK Sidhu","year":"2013","unstructured":"Sidhu AK, Kinger S (2013) Analysis of load balancing techniques in cloud computing. Int J Comput Technol 4(2):737\u2013741","journal-title":"Int J Comput Technol"},{"key":"508_CR29","unstructured":"Alkhatib AA, Alsabbagh A, Maraqa R, Alzubi S Load balancing techniques in cloud computing: extensive review"},{"key":"508_CR30","doi-asserted-by":"crossref","unstructured":"Mohanty SP, Patra K, Ray M, Mohapatra S (2021) A novel meta-heuristic approach for load balancing in cloud computing. In: Research anthology on architectures, frameworks, and integration strategies for distributed and cloud computing, IGI Global, pp 504\u2013526","DOI":"10.4018\/978-1-7998-5339-8.ch023"},{"key":"508_CR31","doi-asserted-by":"publisher","first-page":"2687","DOI":"10.1109\/ACCESS.2015.2508940","volume":"3","author":"L Zuo","year":"2015","unstructured":"Zuo L, Shu L, Dong S, Zhu C, Hara T (2015) A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing. IEEE Access 3:2687\u20132699. https:\/\/doi.org\/10.1109\/ACCESS.2015.2508940","journal-title":"IEEE Access"},{"key":"508_CR32","doi-asserted-by":"publisher","unstructured":"Dewantoro RW, Sihombing P, Sutarman (2019) The combination of ant colony optimization (ACO) and Tabu search (TS) algorithm to solve the traveling salesman problem (TSP). In: 2019 3rd international conference on electrical, telecommunication and computer engineering (ELTICOM), Medan, Indonesia, pp 160\u2013164. https:\/\/doi.org\/10.1109\/ELTICOM47379.2019.8943832","DOI":"10.1109\/ELTICOM47379.2019.8943832"},{"key":"508_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2021\/1856734","volume":"2021","author":"MA Noman","year":"2021","unstructured":"Noman MA, Alatefi M, Al-Ahmari AM, Ali T (2021) Tabu search algorithm based on lower bound and exact algorithm solutions for minimizing the Makespan in non-identical parallel machines scheduling. Math Probl Eng 2021:1\u20139. https:\/\/doi.org\/10.1155\/2021\/1856734","journal-title":"Math Probl Eng"},{"key":"508_CR34","doi-asserted-by":"publisher","unstructured":"Buyya R, Ranjan R, Calheiros RN (2009) Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: challenges and opportunities. In: 2009 international conference on high performance computing and simulation, Leipzig, Germany, pp 1\u201311. https:\/\/doi.org\/10.1109\/HPCSIM.2009.5192685.","DOI":"10.1109\/HPCSIM.2009.5192685"},{"key":"508_CR35","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.asoc.2018.02.018","volume":"66","author":"S Lu","year":"2018","unstructured":"Lu S, Liu X, Pei J, Thai MT, Pardalos PM (2018) A hybrid ABC-TS algorithm for the unrelated parallel-batching machines scheduling problem with deteriorating jobs and maintenance activity. Appl Soft Comput 66:168\u2013182. https:\/\/doi.org\/10.1016\/j.asoc.2018.02.018","journal-title":"Appl Soft Comput"},{"issue":"2","key":"508_CR36","doi-asserted-by":"publisher","first-page":"252","DOI":"10.3844\/jcssp.2013.252.263","volume":"9","author":"IA Mohialdeen","year":"2013","unstructured":"Mohialdeen IA (2013) Comparative study of scheduling al-gorithms in cloud computing environment. J Comput Sci 9(2):252\u2013263","journal-title":"J Comput Sci"}],"container-title":["Innovations in Systems and Software Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11334-022-00508-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11334-022-00508-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11334-022-00508-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,25]],"date-time":"2023-03-25T17:03:10Z","timestamp":1679763790000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11334-022-00508-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,8]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["508"],"URL":"https:\/\/doi.org\/10.1007\/s11334-022-00508-9","relation":{},"ISSN":["1614-5046","1614-5054"],"issn-type":[{"value":"1614-5046","type":"print"},{"value":"1614-5054","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,8]]},"assertion":[{"value":"26 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 November 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}