{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:17:05Z","timestamp":1776889025172,"version":"3.51.2"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100013296","name":"EIT Digital IVZW through the Real-Time Flow Project","doi-asserted-by":"publisher","award":["18387\u2013SGA201"],"award-info":[{"award-number":["18387\u2013SGA201"]}],"id":[{"id":"10.13039\/100013296","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"EPSRC IAA Project AGELink","doi-asserted-by":"publisher","award":["EP\/R511791\/1"],"award-info":[{"award-number":["EP\/R511791\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872084"],"award-info":[{"award-number":["61872084"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2985282","type":"journal-article","created":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T21:14:38Z","timestamp":1585862078000},"page":"70150-70161","source":"Crossref","is-referenced-by-count":34,"title":["Enabling Serverless Deployment of Large-Scale AI Workloads"],"prefix":"10.1109","volume":"8","author":[{"given":"Angelos","family":"Christidis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0164-8322","authenticated-orcid":false,"given":"Sotiris","family":"Moschoyiannis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ching-Hsien","family":"Hsu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roy","family":"Davies","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-018-0088-x"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/DEST.2008.4635166"},{"key":"ref33","first-page":"1","article-title":"Service-oriented computing roadmap","author":"papazoglou","year":"2006","journal-title":"Proc Dagshtul Seminar Service-Oriented Comput (SOC)"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3233\/FI-2015-1222"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/PACRIM.2013.6625441"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WAINA.2015.19"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.10.050"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1643823.1643886"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02818-2_32"},{"key":"ref34","first-page":"267","article-title":"Concurrency control and recovery management for open e-business transactions","author":"razavi","year":"2007","journal-title":"Proc Commun Process Archit (CPA)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99906-7_21"},{"key":"ref40","article-title":"AWeb-based tool for identifying strategic intervention points in complex systems","author":"moschoyiannis","year":"2016","journal-title":"Proc Games Synthesis Complex Syst (CASSTING ETAPS)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3243176.3243190"},{"key":"ref12","first-page":"613","article-title":"Clipper: A low-latency online prediction serving system","author":"crankshaw","year":"2017","journal-title":"Proc 9th USENIX Conf Netw Syst Design Implement (NSDI)"},{"key":"ref13","article-title":"AI pipeline&#x2014;Bringing AI to you. End-to-end integration of data, algorithms and deployment tools","author":"de prado","year":"2019","journal-title":"Proc Emerg Deep Learn Accel (EDLA) Workshop HiPEAC"},{"key":"ref14","year":"2020","journal-title":"Caffe2 Documentation Integrating Caffe2 on iOS\/Android"},{"key":"ref15","year":"2020","journal-title":"Open Neural Network Exchange |(ONNX) Documentation"},{"key":"ref16","article-title":"Sionnx: Automatic unit test generator for ONNX conformance","author":"cai","year":"2019","journal-title":"arXiv 1906 05676"},{"key":"ref17","year":"2020","journal-title":"AWS Amazon DynamoDB Online Documentation"},{"key":"ref18","author":"matthew","year":"2008","journal-title":"Beginning Linux Programming"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2683200"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCSW.2017.36"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3360575"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2019.00090"},{"key":"ref3","year":"2020","journal-title":"AWS Lambda Developer Guide AWS Lambda Limits"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SOCA.2019.00016"},{"key":"ref29","article-title":"The missing piece in complex analytics: Low latency, scalable model management and serving with velox","author":"crankshaw","year":"2014","journal-title":"arXiv 1409 3809"},{"key":"ref5","first-page":"721","article-title":"Learning to control random Boolean networks: A deep reinforcement learning approach","volume":"881","author":"papagiannis","year":"2019","journal-title":"Science of Complex Networks"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-55007-6"},{"key":"ref7","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc 31st Conf Neural Inf Process Syst (NIPS) Workshop Autodiff Decision"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-5026-8_1"},{"key":"ref9","article-title":"Fine tuning run parameter values in rule-based machine learning","volume":"2438","author":"moschoyiannis","year":"2019","journal-title":"Proc 13th RuleML Challenge RuleML+RR (CEUR-WS)"},{"key":"ref1","article-title":"Status of serverless computing and Function-as-a-Service(FaaS) in industry and research","author":"fox","year":"2017","journal-title":"arXiv 1708 08028"},{"key":"ref46","first-page":"7265","article-title":"Training deep models faster with robust, approximate importance sampling","author":"johnson","year":"2018","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref20","year":"2020","journal-title":"Amazon API Gateway REST API Reference"},{"key":"ref45","article-title":"Software-defined design space exploration for an efficient AI accelerator architecture","author":"yu","year":"2019","journal-title":"arXiv 1903 07676"},{"key":"ref22","year":"2015","journal-title":"Traveller Needs and UK Capability Study&#x2014;&#x2018;Supporting the Realisation of Intelligent Mobility in the UK&#x2019;"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICII.2018.00034"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3106237.3117767"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IC2E.2018.00052"},{"key":"ref41","article-title":"Customer segmentation of wireless trajectory data","author":"karlsen","year":"2019"},{"key":"ref23","first-page":"6","year":"2019","journal-title":"Rail Factsheet"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765695"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/PDP2018.2018.00090"},{"key":"ref43","year":"2020","journal-title":"AWS Lambda Layers AWS Documentation 2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/I2CT.2018.8529465"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09055400.pdf?arnumber=9055400","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:56:32Z","timestamp":1642002992000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9055400\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2985282","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}