{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T22:52:08Z","timestamp":1767912728650,"version":"3.49.0"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,2,14]],"date-time":"2022-02-14T00:00:00Z","timestamp":1644796800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,2,14]],"date-time":"2022-02-14T00:00:00Z","timestamp":1644796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the international cooperation and exchange program of national natural science foundation of china","award":["No.62061136006"],"award-info":[{"award-number":["No.62061136006"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Reliable Intell Environ"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s40860-022-00173-6","type":"journal-article","created":{"date-parts":[[2022,2,14]],"date-time":"2022-02-14T13:36:27Z","timestamp":1644845787000},"page":"35-47","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Task-load aware and predictive-based workflow scheduling in cloud-edge collaborative environment"],"prefix":"10.1007","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0255-9425","authenticated-orcid":false,"given":"Mingzhu","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zhongguo","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jiahao","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Sikandar","family":"Ali","sequence":"additional","affiliation":[]},{"given":"Weilong","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Guiling","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,14]]},"reference":[{"issue":"4","key":"173_CR1","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/s10619-013-7130-x","volume":"31","author":"M Dayarathna","year":"2013","unstructured":"Dayarathna M, Suzumura T (2013) Automatic optimization of stream programs via source program operator graph transformations. Distrib Parallel Databases 31(4):543\u2013599. https:\/\/doi.org\/10.1007\/s10619-013-7130-x","journal-title":"Distrib Parallel Databases"},{"key":"173_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.05.022","author":"X-Q Zeng","year":"2014","unstructured":"Zeng X-Q, Li G-Z (2014) Incremental partial least squares analysis of big streaming data. Pattern Recogn. https:\/\/doi.org\/10.1016\/j.patcog.2014.05.022","journal-title":"Pattern Recogn"},{"key":"173_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ACCESS.2016.2549982","volume":"4","author":"S Salinas","year":"2016","unstructured":"Salinas S, Chen X, Ji J, Li P (2016) A tutorial on secure outsourcing of large-scale computations for big data. IEEE Access 4:1\u20131. https:\/\/doi.org\/10.1109\/ACCESS.2016.2549982","journal-title":"IEEE Access"},{"key":"173_CR4","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.future.2019.03.005","volume":"97","author":"Y Xie","year":"2019","unstructured":"Xie Y et al (2019) A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud-edge environment. Futur Gener Comput Syst 97:361\u2013378. https:\/\/doi.org\/10.1016\/j.future.2019.03.005","journal-title":"Futur Gener Comput Syst"},{"key":"173_CR5","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1016\/j.future.2020.05.036","volume":"112","author":"M Barika","year":"2020","unstructured":"Barika M, Garg S, Ranjan R (2020) Cost effective stream workflow scheduling to handle application structural changes. Futur Gener Comput Syst 112:348\u2013361. https:\/\/doi.org\/10.1016\/j.future.2020.05.036","journal-title":"Futur Gener Comput Syst"},{"key":"173_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TNSM.2017.2728863","volume":"PP","author":"S Hou","year":"2017","unstructured":"Hou S et al (2017) A distributed deployment algorithm of process fragments with uncertain traffic matrix. IEEE Trans Netw Serv Manage PP:1\u20131. https:\/\/doi.org\/10.1109\/TNSM.2017.2728863","journal-title":"IEEE Trans Netw Serv Manage"},{"key":"173_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ACCESS.2018.2869827","volume":"PP","author":"W Li","year":"2018","unstructured":"Li W, Xia Y, Zhou M, Sun X, Zhu Q (2018) Fluctuation-aware and predictive workflow scheduling in cost-effective infrastructure-as-a-service clouds. IEEE Access PP:1\u20131. https:\/\/doi.org\/10.1109\/ACCESS.2018.2869827","journal-title":"IEEE Access"},{"issue":"2","key":"173_CR8","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1007\/s11036-019-01450-0","volume":"25","author":"Y Pan","year":"2020","unstructured":"Pan Y et al (2020) A novel approach to scheduling workflows upon cloud resources with fluctuating performance. Mob Netw Appl 25(2):690\u2013700. https:\/\/doi.org\/10.1007\/s11036-019-01450-0","journal-title":"Mob Netw Appl"},{"key":"173_CR9","doi-asserted-by":"crossref","unstructured":"Pan Y et al (2020) A stochastic-performance-distribution-based approach to cloud workflow scheduling with fluctuating performance. In: Ku W-S, Kanemasa Y, Serhani MA, Zhang L-J (eds) Web Services\u2014ICWS 2020, Lecture Notes in Computer Science. Springer International Publishing, Cham, pp 33\u201348","DOI":"10.1007\/978-3-030-59618-7_3"},{"key":"173_CR10","doi-asserted-by":"crossref","unstructured":"Liu H et al (2020) Scheduling multi-workflows over edge computing resources with time-varying performance, a novel probability-mass function and DQN-based approach. In: Ku W-S, Kanemasa Y, Serhani MA, Zhang L-J (edsWeb Services\u2014ICWS 2020, Lecture Notes in Computer Science. Springer International Publishing, Cham, pp 197\u2013209","DOI":"10.1007\/978-3-030-59618-7_13"},{"key":"173_CR11","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.future.2019.08.012","volume":"102","author":"G Ismayilov","year":"2020","unstructured":"Ismayilov G, Topcuoglu HR (2020) Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing. Futur Gener Comput Syst 102:307\u2013322. https:\/\/doi.org\/10.1016\/j.future.2019.08.012","journal-title":"Futur Gener Comput Syst"},{"key":"173_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ACCESS.2018.2881538","volume":"PP","author":"X-F Liu","year":"2018","unstructured":"Liu X-F, Zhan Z-H, Zhang J (2018) Neural network for change direction prediction in dynamic optimization. IEEE Access PP:1\u20131. https:\/\/doi.org\/10.1109\/ACCESS.2018.2881538","journal-title":"IEEE Access"},{"key":"173_CR13","unstructured":"Barika M, Garg S, Ranjan R (2019) Adaptive scheduling for efficient execution of dynamic stream workflows. Tech. Rep. 2019 arXiv:1912.08397"},{"key":"173_CR14","doi-asserted-by":"crossref","unstructured":"Xu X, Fu S, Yuan Y, Qi L, Dou W (2018) Energy-efficient computation offloading in cloudlet-based mobile cloud using NSGA-II, pp 1\u20136","DOI":"10.23919\/ICMU.2018.8653606"},{"key":"173_CR15","doi-asserted-by":"publisher","unstructured":"Cho K et al (2014) Learning phrase representations using RNN encoder-decoder for statistical machine translation. https:\/\/doi.org\/10.3115\/v1\/D14-1179","DOI":"10.3115\/v1\/D14-1179"},{"key":"173_CR16","doi-asserted-by":"publisher","first-page":"107094","DOI":"10.1016\/j.knosys.2021.107094","volume":"224","author":"Y Xiao","year":"2021","unstructured":"Xiao Y et al (2021) History-based attention in Seq2Seq model for multi-label text classification. Knowl-Based Syst 224:107094. https:\/\/doi.org\/10.1016\/j.knosys.2021.107094","journal-title":"Knowl-Based Syst"},{"issue":"9","key":"173_CR17","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1016\/j.ress.2005.11.018","volume":"91","author":"A Konak","year":"2006","unstructured":"Konak A, Coit DW, Smith AE (2006) Multi-objective optimization using genetic algorithms: a tutorial. Reliabil Eng Syst Saf 91(9):992\u20131007. https:\/\/doi.org\/10.1016\/j.ress.2005.11.018","journal-title":"Reliabil Eng Syst Saf"},{"key":"173_CR18","doi-asserted-by":"crossref","unstructured":"Chen W, Deelman E (2012) WorkflowSim: a toolkit for simulating scientific workflows in distributed environments, pp 1\u20138","DOI":"10.1109\/eScience.2012.6404430"},{"issue":"3","key":"173_CR19","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1016\/j.future.2012.08.015","volume":"29","author":"G Juve","year":"2013","unstructured":"Juve G et al (2013) Characterizing and profiling scientific workflows. Futur Gener Comput Syst 29(3):682\u2013692. https:\/\/doi.org\/10.1016\/j.future.2012.08.015","journal-title":"Futur Gener Comput Syst"}],"container-title":["Journal of Reliable Intelligent Environments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40860-022-00173-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40860-022-00173-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40860-022-00173-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T13:23:36Z","timestamp":1646832216000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40860-022-00173-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,14]]},"references-count":19,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["173"],"URL":"https:\/\/doi.org\/10.1007\/s40860-022-00173-6","relation":{},"ISSN":["2199-4668","2199-4676"],"issn-type":[{"value":"2199-4668","type":"print"},{"value":"2199-4676","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,14]]},"assertion":[{"value":"22 June 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 February 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}