{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:02:42Z","timestamp":1781107362673,"version":"3.54.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T00:00:00Z","timestamp":1718323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T00:00:00Z","timestamp":1718323200000},"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":["Computing"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s00607-024-01301-1","type":"journal-article","created":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T12:02:09Z","timestamp":1718366529000},"page":"3837-3878","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Reliability and performance of resource efficiency in dynamic optimization scheduling using multi-agent microservice cloud-fog on IoT applications"],"prefix":"10.1007","volume":"106","author":[{"given":"Ragi","family":"Krishnan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Selvam","family":"Durairaj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,14]]},"reference":[{"issue":"1","key":"1301_CR1","first-page":"18","volume":"16","author":"O Hioual","year":"2023","unstructured":"Hioual O, Hioual O, Hemam S, Maifi L (2023) A method based on multi-agent systems and passive replication technique for predicting failures in cloud computing. Recent Adv Comput Sci Commun 16(1):18\u201332","journal-title":"Recent Adv Comput Sci Commun"},{"issue":"4","key":"1301_CR2","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1587\/transinf.2016EDP7346","volume":"100","author":"H Jiang","year":"2017","unstructured":"Jiang H, Song M (2017) Dynamic scheduling of workflow for makespan and robustness improvement in the IAAS cloud. IEICE Trans Inf Syst 100(4):813\u2013821","journal-title":"IEICE Trans Inf Syst"},{"key":"1301_CR3","first-page":"8887","volume":"975","author":"M Rekha","year":"2010","unstructured":"Rekha M, Venugopal M, Selvam M (2010) Resource management in ambient network using network processor. Int J Comput Appl 975:8887","journal-title":"Int J Comput Appl"},{"key":"1301_CR4","doi-asserted-by":"crossref","unstructured":"Durairaj S, Sridhar R (2023) Mom-vmp: multi-objective mayfly optimization algorithm for vm placement supported by principal component analysis (pca) in cloud data center. Cluster Comput 1\u20139","DOI":"10.21203\/rs.3.rs-2185603\/v1"},{"issue":"24","key":"1301_CR5","doi-asserted-by":"publisher","first-page":"7236","DOI":"10.1002\/cpe.7236","volume":"34","author":"S Durairaj","year":"2022","unstructured":"Durairaj S, Sridhar R (2022) Task scheduling to a virtual machine using a multi-objective mayfly approach for a cloud environment. Concurr Comput Pract Exp 34(24):7236","journal-title":"Concurr Comput Pract Exp"},{"key":"1301_CR6","doi-asserted-by":"crossref","unstructured":"Kontos G, Soumplis P, Kokkinos PC, Varvarigos EA (2023) Cloud-native applications\u2019 workload placement over the edge-cloud continuum. In: CLOSER, pp 57\u201366","DOI":"10.5220\/0011850100003488"},{"issue":"2","key":"1301_CR7","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1007\/s11277-023-10337-z","volume":"130","author":"S Khurana","year":"2023","unstructured":"Khurana S, Sharma G, Kumar M, Goyal N, Sharma B (2023) Reliability based workflow scheduling on cloud computing with deadline constraint. Wireless Pers Commun 130(2):1417\u20131434","journal-title":"Wireless Pers Commun"},{"key":"1301_CR8","doi-asserted-by":"crossref","unstructured":"Tong G, Meng C, Song S, Pan M, Yu Y (2023) Gma: graph multi-agent microservice autoscaling algorithm in edge-cloud environment. In: 2023 IEEE international conference on web services (ICWS), pp 393\u2013404. IEEE","DOI":"10.1109\/ICWS60048.2023.00058"},{"key":"1301_CR9","doi-asserted-by":"crossref","unstructured":"Tshakwanda PM, Arzo ST, Devetsikiotis M (2023) Multi-agent-based simulation of intelligent network system. In: 2023 IEEE 13th annual computing and communication workshop and conference (CCWC), pp 0813\u20130819. IEEE","DOI":"10.1109\/CCWC57344.2023.10099195"},{"issue":"5","key":"1301_CR10","first-page":"1036","volume":"47","author":"P Zhou","year":"2019","unstructured":"Zhou P, Yin B, Qiu X-S, Guo S-Y, Meng L-M (2019) Service reliability oriented cloud resource scheduling method. Acta Electon Sin 47(5):1036","journal-title":"Acta Electon Sin"},{"issue":"6","key":"1301_CR11","doi-asserted-by":"publisher","first-page":"12924","DOI":"10.1111\/exsy.12924","volume":"39","author":"Z Liu","year":"2022","unstructured":"Liu Z, Fan G, Yu H, Chen L (2022) Modelling and analysing the reliability for microservice-based cloud application based on predicate petri net. Expert Syst 39(6):12924","journal-title":"Expert Syst"},{"issue":"4","key":"1301_CR12","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.1109\/TSMC.2017.2747146","volume":"50","author":"G Fan","year":"2017","unstructured":"Fan G, Chen L, Yu H, Liu D (2017) Modeling and analyzing dynamic fault-tolerant strategy for deadline constrained task scheduling in cloud computing. IEEE Trans Syst Man Cybern Syst 50(4):1260\u20131274","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"1","key":"1301_CR13","doi-asserted-by":"publisher","first-page":"10192","DOI":"10.48084\/etasr.5570","volume":"13","author":"H Reffad","year":"2023","unstructured":"Reffad H, Alti A, Almuhirat A (2023) A dynamic adaptive bio-inspired multi-agent system for healthcare task deployment. Eng Technol Appl Sci Res 13(1):10192\u201310198","journal-title":"Eng Technol Appl Sci Res"},{"key":"1301_CR14","doi-asserted-by":"crossref","unstructured":"Meng S, Luo L, Qiu X, Sun P (2021) A reliability optimization framework for public cloud services based on markov process and hierarchical correlation modeling. In: 2021 7th international symposium on system and software reliability (ISSSR), pp 86\u201390. IEEE","DOI":"10.1109\/ISSSR53171.2021.00034"},{"issue":"2","key":"1301_CR15","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1109\/TR.2017.2678480","volume":"66","author":"P Sun","year":"2017","unstructured":"Sun P, Dai Y, Qiu X (2017) Optimal scheduling and management on correlating reliability, performance, and energy consumption for multiagent cloud systems. IEEE Trans Reliab 66(2):547\u2013558","journal-title":"IEEE Trans Reliab"},{"issue":"2","key":"1301_CR16","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1109\/TR.2022.3154651","volume":"71","author":"S Meng","year":"2022","unstructured":"Meng S, Luo L, Qiu X, Dai Y (2022) Service-oriented reliability modeling and autonomous optimization of reliability for public cloud computing systems. IEEE Trans Reliab 71(2):527\u2013538","journal-title":"IEEE Trans Reliab"},{"key":"1301_CR17","doi-asserted-by":"crossref","unstructured":"Bai Y, Zhang H, Fu Y (2016) Reliability modeling and analysis of cloud service based on complex network. In: 2016 Prognostics and system health management conference (PHM-Chengdu), pp 1\u20135. IEEE","DOI":"10.1109\/PHM.2016.7819907"},{"issue":"1","key":"1301_CR18","first-page":"52","volume":"14","author":"K Yuejuan","year":"2021","unstructured":"Yuejuan K, Zhuojun L, Weihao O (2021) Task scheduling algorithm based on reliability perception in cloud computing. Recent Adv Electr Electron Eng 14(1):52\u201358","journal-title":"Recent Adv Electr Electron Eng"},{"key":"1301_CR19","first-page":"1","volume":"2021","author":"Z Liu","year":"2021","unstructured":"Liu Z, Fan G, Yu H, Chen L (2021) An approach to modeling and analyzing reliability for microservice-oriented cloud applications. Wirel Commun Mobile Comput 2021:1\u20137","journal-title":"Wirel Commun Mobile Comput"},{"issue":"10","key":"1301_CR20","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1049\/cmu2.12371","volume":"16","author":"Z Liu","year":"2022","unstructured":"Liu Z, Yu H, Fan G, Chen L (2022) Reliability modelling and optimization for microservice-based cloud application using multi-agent system. IET Commun 16(10):1182\u20131199","journal-title":"IET Commun"},{"key":"1301_CR21","doi-asserted-by":"publisher","first-page":"2578","DOI":"10.1109\/ACCESS.2021.3138931","volume":"10","author":"I Eroshkin","year":"2021","unstructured":"Eroshkin I, Vojtech L, Neruda M (2021) Resource efficient real-time reliability model for multi-agent iot systems. IEEE Access 10:2578\u20132590","journal-title":"IEEE Access"},{"issue":"2","key":"1301_CR22","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1007\/s11277-023-10337-z","volume":"130","author":"S Khurana","year":"2023","unstructured":"Khurana S, Sharma G, Kumar M, Goyal N, Sharma B (2023) Reliability based workflow scheduling on cloud computing with deadline constraint. Wirel Pers Commun 130(2):1417\u20131434","journal-title":"Wirel Pers Commun"},{"issue":"2","key":"1301_CR23","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1109\/JIOT.2019.2955311","volume":"7","author":"S Hu","year":"2019","unstructured":"Hu S, Li G (2019) Dynamic request scheduling optimization in mobile edge computing for iot applications. IEEE Internet Things J 7(2):1426\u20131437","journal-title":"IEEE Internet Things J"},{"key":"1301_CR24","doi-asserted-by":"crossref","unstructured":"Walia GK, Kumar M, Gill SS (2023) Ai-empowered fog\/edge resource management for iot applications: a comprehensive review, research challenges and future perspectives. IEEE Commun Surv Tutor","DOI":"10.1109\/COMST.2023.3338015"},{"key":"1301_CR25","doi-asserted-by":"crossref","unstructured":"Kumar M, Walia GK, Shingare H, Singh S, Gill SS (2023) Ai-based sustainable and intelligent offloading framework for iiot in collaborative cloud-fog environments. IEEE Trans Consum Electron","DOI":"10.1109\/TCE.2023.3320673"},{"issue":"2","key":"1301_CR26","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1109\/TSUSC.2021.3110245","volume":"7","author":"M Kumar","year":"2021","unstructured":"Kumar M, Kishor A, Abawajy J, Agarwal P, Singh A, Zomaya AY (2021) Arps: an autonomic resource provisioning and scheduling framework for cloud platforms. IEEE Trans Sustain Comput 7(2):386\u2013399","journal-title":"IEEE Trans Sustain Comput"},{"key":"1301_CR27","doi-asserted-by":"crossref","unstructured":"Kumar M, Kishor A, Samariya JK, Zomaya AY (2023) An autonomic workload prediction and resource allocation framework for fog enabled industrial iot. IEEE Internet Things J","DOI":"10.1109\/JIOT.2023.3235107"},{"key":"1301_CR28","doi-asserted-by":"crossref","unstructured":"Gao Z-M, Zhao J, Li S-R, Hu Y-R (2020) The improved mayfly optimization algorithm. In: Journal of physics: conference series, vol 1684, p 012077. IOP Publishing","DOI":"10.1088\/1742-6596\/1684\/1\/012077"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01301-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-024-01301-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01301-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T14:07:39Z","timestamp":1730988459000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-024-01301-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,14]]},"references-count":28,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1301"],"URL":"https:\/\/doi.org\/10.1007\/s00607-024-01301-1","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,14]]},"assertion":[{"value":"4 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2024","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"}},{"value":"Not Applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval and consent to participate"}},{"value":"Not Applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and animal rights statement"}},{"value":"Not Applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}