{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:13:31Z","timestamp":1740158011645,"version":"3.37.3"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T00:00:00Z","timestamp":1598227200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T00:00:00Z","timestamp":1598227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s12652-020-02474-1","type":"journal-article","created":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T18:03:40Z","timestamp":1598292220000},"page":"3151-3167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["BeeM-NN: An efficient workload optimization using Bee Mutation Neural Network in federated cloud environment"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5555-6319","authenticated-orcid":false,"given":"S. R.","family":"Shishira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Kandasamy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,24]]},"reference":[{"key":"2474_CR1","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.jnca.2017.01.016","volume":"82","author":"M Amiri","year":"2017","unstructured":"Amiri M, Mohammad-Khanli L (2017) Survey on prediction models of applications for resources provisioning in cloud. J Netw Comput Appl 82:93\u2013113","journal-title":"J Netw Comput Appl"},{"issue":"1","key":"2474_CR2","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3233\/JIFS-151445","volume":"32","author":"M Amiri","year":"2017","unstructured":"Amiri M, Feizi-Derakhshi M-R, Mohammad-Khanli L (2017) IDS fitted Q improvement using fuzzy approach for resource provisioning in cloud. J Intell Fuzzy Syst 32(1):229\u2013240","journal-title":"J Intell Fuzzy Syst"},{"key":"2474_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/9270802","volume":"2018","author":"MK Amjad","year":"2018","unstructured":"Amjad MK, Butt SI, Kousar R, Ahmad R, Agha MH, Faping Z, Anjum N, Asgher U (2018) Recent research trends in genetic algorithm based flexible job shop scheduling problems. Math Prob Eng 2018:1\u201332","journal-title":"Math Prob Eng"},{"key":"2474_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01655-x","author":"V Arulkumar","year":"2020","unstructured":"Arulkumar V, Bhalaji N (2020) Performance analysis of nature inspired load balancing algorithm in cloud environment. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-019-01655-x","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"2474_CR5","doi-asserted-by":"crossref","unstructured":"Beloglazov A, Buyya R (2010) Energy efficient resource management in virtualized cloud data centers. In: Tenth IEEE\/ACM International Conference on cluster, cloud and grid computing, pp 826\u2013831","DOI":"10.1109\/CCGRID.2010.46"},{"key":"2474_CR6","unstructured":"Github (2019), Azure\/AzurePublicDataset, https:\/\/github.com\/AzurePublicDataset"},{"key":"2474_CR7","doi-asserted-by":"crossref","unstructured":"Gupta S, Dinesh DA (2017) Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks. In: IEEE International Conference on advanced networks and telecommunications systems (ANTS), pp 1\u20136","DOI":"10.1109\/ANTS.2017.8384098"},{"key":"2474_CR8","doi-asserted-by":"crossref","unstructured":"Gupta S, Muthiyan N, Kumar S, Nigam A, Dinesh DA (2017) A supervised deep learning framework for proactive anomaly detection in cloud workloads. In: 14th IEEE India Council International Conference (INDICON), pp 1\u20136","DOI":"10.1109\/INDICON.2017.8488109"},{"key":"2474_CR9","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8584252","author":"Z Huang","year":"2017","unstructured":"Huang Z, Peng J, Lian H, Guo J, Qiu W (2017) Deep recurrent model for server load and performance prediction in data center. J Complex. https:\/\/doi.org\/10.1155\/2017\/8584252","journal-title":"J Complex"},{"key":"2474_CR10","doi-asserted-by":"crossref","unstructured":"Hu R, Jiang J, Liu G, Wang L (2013) Cpu load prediction using support vector regression and kalman smoother for cloud. In: IEEE 33rd International Conference on Distributed Computing Systems Workshops, pp 88\u201392","DOI":"10.1109\/ICDCSW.2013.60"},{"key":"2474_CR11","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.comcom.2018.07.031","volume":"129","author":"A Levin","year":"2018","unstructured":"Levin A, Lorenz D, Merlino G, Panarello A, Puliafito A, Tricomi G (2018) Hierarchical load balancing as a service for federated cloud networks. Comput Commun 129:125\u2013137","journal-title":"Comput Commun"},{"key":"2474_CR12","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5635673","author":"Y Lu","year":"2016","unstructured":"Lu Y, Panneerselvam J, Liu L, Wu Y (2016) RVLBPNN: a workload forecasting model for smart cloud computing. Sci Programm. https:\/\/doi.org\/10.1155\/2016\/5635673","journal-title":"Sci Programm"},{"issue":"4","key":"2474_CR13","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1145\/1721654.1721672","volume":"53","author":"A Michael","year":"2010","unstructured":"Michael A, Armando F, Rean G, Joseph Anthony D, Randy K, Andy K, Gunho L, David P, Ariel R, Ion S (2010) A view of cloud computing. Commun ACM 53(4):50\u201358","journal-title":"Commun ACM"},{"key":"2474_CR14","doi-asserted-by":"crossref","unstructured":"Peng C, Li Y, Yu Y, Zhou Y, Du S (2018) Multi-step-ahead host load prediction with gru based encoder-decoder in cloud computing. In: IEEE Tenth International Conference on Knowledge and Smart Technology (KST), pp 186\u2013191","DOI":"10.1109\/KST.2018.8426104"},{"issue":"3","key":"2474_CR15","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/TEVC.2011.2161090","volume":"16","author":"C Pizzuti","year":"2011","unstructured":"Pizzuti C (2011) A multiobjective genetic algorithm to find communities in complex networks. IEEE Trans Evol Comput 16(3):418\u2013430","journal-title":"IEEE Trans Evol Comput"},{"key":"2474_CR16","doi-asserted-by":"crossref","unstructured":"Qiu F, Zhang B, Guo J (2016) A deep learning approach for vm workload prediction in the cloud. In: 17th IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD), pp 319\u2013324","DOI":"10.1109\/SNPD.2016.7515919"},{"issue":"3","key":"2474_CR17","doi-asserted-by":"publisher","first-page":"47","DOI":"10.3390\/robotics7030047","volume":"7","author":"O Saha","year":"2018","unstructured":"Saha O, Dasgupta P (2018) A comprehensive survey of recent trends in cloud robotics architectures and applications. Robotics 7(3):47","journal-title":"Robotics"},{"key":"2474_CR18","unstructured":"Sahi SK, Dhaka VS (2016) A survey paper on workload prediction requirements of cloud computing. In: Third International Conference on Computing for Sustainable Global Development (INDIACom), pp 254\u2013258"},{"key":"2474_CR19","unstructured":"Salehinejad H, Sankar S, Barfett J, Colak E, Valaee S (2017) Recent advances in recurrent neural networks. arXiv preprint arXiv:1801.01078"},{"issue":"2","key":"2474_CR20","first-page":"146","volume":"1","author":"OL Sathappan","year":"2011","unstructured":"Sathappan OL, Chitra P, Venkatesh P, Prabhu M (2011) Modified genetic algorithm for multiobjective task scheduling on heterogeneous computing system. Int J Inf Technol Commun Converg 1(2):146\u2013158","journal-title":"Int J Inf Technol Commun Converg"},{"key":"2474_CR21","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.jnca.2016.03.002","volume":"65","author":"GK Shyam","year":"2016","unstructured":"Shyam GK, Manvi SS (2016) Virtual resource prediction in cloud environment: a bayesian approach. J Netw Comput Appl 65:144\u2013154","journal-title":"J Netw Comput Appl"},{"issue":"12","key":"2474_CR22","doi-asserted-by":"publisher","first-page":"6554","DOI":"10.1007\/s11227-017-2044-4","volume":"74","author":"B Song","year":"2018","unstructured":"Song B, Yu Y, Zhou Y, Wang Z, Du S (2018) Host load prediction with long shortterm memory in cloud computing. J Supercomput 74(12):6554\u20136568","journal-title":"J Supercomput"},{"key":"2474_CR23","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1016\/j.cie.2017.12.001","volume":"115","author":"M Tavana","year":"2018","unstructured":"Tavana M, Shahdi-Pashaki S, Teymourian E, Santos-Arteaga FJ, Komaki M (2018) A discrete cuckoo optimization algorithm for consolidation in cloud computing. Comput Ind Eng 115:495\u2013511","journal-title":"Comput Ind Eng"},{"key":"2474_CR24","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1109\/TPDS.2012.283","volume":"24","author":"Z Xiao","year":"2012","unstructured":"Xiao Z, Song W, Chen Q (2012) Dynamic resource allocation using virtual machines for cloud computing environment. IEEE Trans Parallel Distrib Syst 24:1107\u20131117","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"2474_CR25","doi-asserted-by":"crossref","unstructured":"Xu Y, Fan P, Yuan L (2013) A simple and efficient artificial bee colony algorithm. Math Prob Eng, pp 1\u20139","DOI":"10.1155\/2013\/526315"},{"issue":"1","key":"2474_CR26","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/s10796-013-9459-0","volume":"16","author":"J Yang","year":"2014","unstructured":"Yang J, Liu C, Shang Y, Cheng B, Mao Z, Liu C, Niu L, Chen J (2014) A costaware auto-scaling approach using the workload prediction in service clouds. Inf Syst Front 16(1):7\u201318","journal-title":"Inf Syst Front"},{"issue":"5","key":"2474_CR27","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1109\/TMI.2014.2305394","volume":"33","author":"N Zeng","year":"2014","unstructured":"Zeng N, Wang Z, Zineddin B, Li Y, Du M, Xiao L, Liu X, Young T (2014) Image-based quantitative analysis of gold immunochromatographic strip via cellular neural network approach. IEEE Trans Med Imaging 33(5):1129\u20131136","journal-title":"IEEE Trans Med Imaging"},{"issue":"2","key":"2474_CR28","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/s12559-016-9396-6","volume":"8","author":"N Zeng","year":"2016","unstructured":"Zeng N, Wang Z, Zineddin B, Li Y, Du M, Xiao L, Liu X, Young T (2016) A novel switching delayed PSO algorithm for estimating unknown parameters of lateral flow immunoassay. Cogn Comput 8(2):143\u2013152","journal-title":"Cogn Comput"},{"key":"2474_CR29","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1109\/TNANO.2019.2932271","volume":"18","author":"N Zeng","year":"2019","unstructured":"Zeng N, Wang Z, Zhang H, Kim KE, Li Y, Liu X (2019) An improved particle filter with a novel hybrid proposal distribution for quantitative analysis of gold immunochromatographic strips. IEEE Trans Nanotechnol 18:819\u2013829","journal-title":"IEEE Trans Nanotechnol"},{"issue":"6","key":"2474_CR30","doi-asserted-by":"publisher","first-page":"2073","DOI":"10.1109\/TCYB.2018.2819360","volume":"49","author":"Y Zhou","year":"2018","unstructured":"Zhou Y, Xiang Y, Chen Z, He J, Wang J (2018) A scalar projection and angle-based evolutionary algorithm for many-objective optimization problems. IEEE Trans Cybernet 49(6):2073\u20132084","journal-title":"IEEE Trans Cybernet"},{"issue":"1","key":"2474_CR31","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1186\/s13638-019-1605-z","volume":"2019","author":"Y Zhu","year":"2019","unstructured":"Zhu Y, Zhang W, Chen Y, Gao H (2019) A novel approach to workload prediction using attention-based LSTM encoder-decoder network in cloud environment. EURASIP J Wirel Commun Netw 2019(1):274","journal-title":"EURASIP J Wirel Commun Netw"},{"key":"2474_CR32","doi-asserted-by":"crossref","unstructured":"Zou W, Zhu Y, Chen H, Zhang B (2011) Solving multiobjective optimization problems using artificial bee colony algorithm. Discrete Dyn Nat Soc 2011","DOI":"10.1155\/2011\/569784"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02474-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-020-02474-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02474-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:53:14Z","timestamp":1629766394000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-020-02474-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,24]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["2474"],"URL":"https:\/\/doi.org\/10.1007\/s12652-020-02474-1","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"type":"print","value":"1868-5137"},{"type":"electronic","value":"1868-5145"}],"subject":[],"published":{"date-parts":[[2020,8,24]]},"assertion":[{"value":"3 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}