{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T09:42:46Z","timestamp":1730281366242,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T00:00:00Z","timestamp":1605571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T00:00:00Z","timestamp":1605571200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T00:00:00Z","timestamp":1605571200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,17]]},"DOI":"10.1109\/mascots50786.2020.9285944","type":"proceedings-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T18:22:16Z","timestamp":1608574936000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Performance Prediction for Data-driven Workflows on Apache Spark"],"prefix":"10.1109","author":[{"given":"Andrea","family":"Gulino","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arif","family":"Canakoglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Ceri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danilo","family":"Ardagna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-56982-6_4"},{"journal-title":"Hemingway Modeling distributed optimization algorithms","year":"0","author":"pan","key":"ref10"},{"key":"ref11","article-title":"Cherrypick: Adaptively unearthing the best cloud configurations for big data analytics","author":"alipourfard","year":"0","journal-title":"14th NSDI"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2019.00028"},{"journal-title":"Scientific workflows Past present and future","year":"2017","author":"atkinson","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-012-9577-7"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-013-9272-5"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.is.2018.10.002","article-title":"Metadata management for scientific databases","volume":"81","author":"pinoli","year":"0","journal-title":"Information Systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btv048"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2018.2854880"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(99)00041-2"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1541003","DOI":"10.1142\/S0129626415410030","article-title":"On-line task resource consumption prediction for scientific workflows","volume":"25","author":"da silva","year":"2015","journal-title":"Parallel Processing Letters"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa8685"},{"key":"ref27","article-title":"Predicting workflow task execution time in the cloud using a two-stage machine learning approach","author":"pham","year":"2017","journal-title":"IEEE Transactions on Cloud Computing"},{"journal-title":"Big Data and Health Analytics","year":"0","author":"kulkarni","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3184407.3184420"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/UCC.2018.00018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/71.80155"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1998582.1998637"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-012-0227-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.08.039"},{"key":"ref9","article-title":"Ernest: Efficient performance prediction for large-scale advanced analytics","author":"venkataraman","year":"2016","journal-title":"13th NSDI"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/08874417.2016.1220239"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/12.2213"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/71.852402"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/71.80155"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132766"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1145\/1530873.1530877","article-title":"Jmt: performance engineering tools for system modeling","volume":"36","author":"bertoli","year":"0","journal-title":"ACM Sigmetrics Performance Evaluation Review"},{"key":"ref26","first-page":"381","article-title":"Scientific workflows as productivity tools for drug discovery","volume":"11","author":"shon","year":"0","journal-title":"Curr Opin Drug Discov Devel"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2018.03.006"}],"event":{"name":"2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)","start":{"date-parts":[[2020,11,17]]},"location":"Nice, France","end":{"date-parts":[[2020,11,19]]}},"container-title":["2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9285930\/9285931\/09285944.pdf?arnumber=9285944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:50:47Z","timestamp":1656438647000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9285944\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,17]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/mascots50786.2020.9285944","relation":{},"subject":[],"published":{"date-parts":[[2020,11,17]]}}}