{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:39:35Z","timestamp":1781797175863,"version":"3.54.5"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2020B010165002"],"award-info":[{"award-number":["2020B010165002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272495"],"award-info":[{"award-number":["62272495"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic and Applied Basic Research of Guangzhou","award":["202002030328"],"award-info":[{"award-number":["202002030328"]}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023B1515020054"],"award-info":[{"award-number":["2023B1515020054"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CCF-Lenovo Blue Ocean Research Fund"},{"name":"Project of Core Blockchain of Ministry of Education of China","award":["2020KJ010801"],"award-info":[{"award-number":["2020KJ010801"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002402","name":"Sun Yat-sen University","doi-asserted-by":"publisher","award":["22qntd1004"],"award-info":[{"award-number":["22qntd1004"]}],"id":[{"id":"10.13039\/501100002402","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Serv. Comput."],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1109\/tsc.2023.3274769","type":"journal-article","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T01:01:08Z","timestamp":1683766868000},"page":"3332-3347","source":"Crossref","is-referenced-by-count":19,"title":["FaaSDeliver: Cost-Efficient and QoS-Aware Function Delivery in Computing Continuum"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6195-9088","authenticated-orcid":false,"given":"Guangba","family":"Yu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0972-6900","authenticated-orcid":false,"given":"Pengfei","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7872-7718","authenticated-orcid":false,"given":"Zibin","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1455-7817","authenticated-orcid":false,"given":"Jingrun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5730-2972","authenticated-orcid":false,"given":"Xiaoyun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7963-082X","authenticated-orcid":false,"given":"Zilong","family":"He","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SEC.2018.00029"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD55607.2022.00019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2008.36"},{"key":"ref56","article-title":"AWS compute optimizer","year":"2023"},{"key":"ref15","first-page":"2546","article-title":"Algorithms for hyper-parameter optimization","author":"bergstra","year":"2011","journal-title":"Proc Neural Inf Process Syst Found"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3028841"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155363"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796962"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3343737.3343750"},{"key":"ref52","first-page":"419","article-title":"Firecracker: Lightweight virtualization for serverless applications","author":"agache","year":"2020","journal-title":"Proc 17th USENIX Symp Netw Syst Des Implementation"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2022.3144645"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IC2E.2018.00039"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2020.2975168"},{"key":"ref54","first-page":"57","article-title":"SOCK: Rapid task provisioning with serverless-optimized containers","author":"oakes","year":"2018","journal-title":"Proc USENIX Conf USENIX Annu Tech Conf"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2021.3075988"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2021.3066637"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2019.00023"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3472883.3487002"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3447786.3456239"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2021.3113940"},{"key":"ref46","first-page":"1778","article-title":"Bayesian optimization in high dimensions via random embeddings","author":"wang","year":"2013","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref45","first-page":"3735","article-title":"Bayesopt: A Bayesian optimization library for nonlinear optimization, experimental design and bandits","volume":"15","author":"martinez-cantin","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref48","article-title":"Azure cloud functions trace 2019 v2 (invocations per function md anon d01","year":"2022"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3026019"},{"key":"ref42","article-title":"Azure VM comparison","year":"2018"},{"key":"ref41","article-title":"Control groups","author":"menage","year":"2022"},{"key":"ref44","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3542929.3563475"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2019.2944360"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2021.3128603"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/spe.2966"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2022.3166553"},{"key":"ref3","article-title":"Google cloud functions","year":"2022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2021.3116280"},{"key":"ref5","first-page":"711","article-title":"xAFCL: Run scalable function choreographies across multiple FaaS systems","volume":"16","author":"ristov","year":"2023","journal-title":"IEEE Trans Serv Comput"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358296"},{"key":"ref35","first-page":"115","article-title":"Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures","author":"bergstra","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref34","first-page":"1","article-title":"Continuous control with deep reinforcement learning","author":"lillicrap","year":"2016","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref37","first-page":"1436","article-title":"BOHB: Robust and efficient hyperparameter optimization at scale","author":"falkner","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012771025575"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2541940.2541941"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid49817.2020.00-89"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2451116.2451125"},{"key":"ref74","first-page":"70","article-title":"QoS aware FaaS for heterogeneous edge-cloud continuum","author":"s k r","year":"2022","journal-title":"Proc IEEE 15th Int Conf Cloud Comput"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3389817"},{"key":"ref32","first-page":"469","article-title":"Cherrypick: Adaptively unearthing the best cloud configurations for Big Data analytics","author":"alipourfard","year":"2017","journal-title":"Proc 14th USENIX Symp Netw Syst Des Implementation"},{"key":"ref2","article-title":"Azure cloud functions","year":"2022"},{"key":"ref1","article-title":"AWS lambda","author":"lambda","year":"2022"},{"key":"ref39","first-page":"12751","article-title":"Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning","author":"perrone","year":"2019","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-2070(99)00007-2"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2747214"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-021-09570-2"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3226644"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid54584.2022.00101"},{"key":"ref24","article-title":"Medtronic makes diabetes management easier with real-time insights from IBM streams","author":"kumar","year":"2022"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD49709.2020.00090"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00090"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2017.2911430"},{"key":"ref26","article-title":"Serverless functions, made simple","year":"2022"},{"key":"ref25","article-title":"Enterprise-grade serverless on your own terms","year":"2022"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW52791.2021.00018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322406"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i18.17870"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3423211.3425680"},{"key":"ref22","first-page":"1","article-title":"Towards a serverless platform for edge AI","author":"rausch","year":"2019","journal-title":"Proc 2nd USENIX Workshop Hot Topics Edge Comput"},{"key":"ref66","article-title":"EdgeFaaS: A function-based framework for edge computing","volume":"abs 2210 1410","author":"jin","year":"2022","journal-title":"CoRR"},{"key":"ref21","first-page":"205","article-title":"Serverless in the wild: Characterizing and optimizing the serverless workload at a large cloud provider","author":"shahrad","year":"2020","journal-title":"Proc USENIX Conf USENIX Annu Tech Conf"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3431379.3460646"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00197"},{"key":"ref27","first-page":"133","article-title":"Peeking behind the curtains of serverless platforms","author":"wang","year":"2018","journal-title":"Proc USENIX Conf USENIX Annu Tech Conf"},{"key":"ref29","article-title":"Resource provisioning of web applications in heterogeneous clouds","author":"jiang","year":"2011","journal-title":"Proc Conf Web Appl Develop"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.14778\/3547305.3547313"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3229710.3229742"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3078468.3078497"}],"container-title":["IEEE Transactions on Services Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4629386\/10274114\/10122727.pdf?arnumber=10122727","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T19:14:32Z","timestamp":1698693272000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10122727\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":75,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsc.2023.3274769","relation":{},"ISSN":["1939-1374","2372-0204"],"issn-type":[{"value":"1939-1374","type":"electronic"},{"value":"2372-0204","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9]]}}}