{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:42Z","timestamp":1740169122871,"version":"3.37.3"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2939805","type":"journal-article","created":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T15:57:31Z","timestamp":1567785451000},"page":"127904-127919","source":"Crossref","is-referenced-by-count":0,"title":["Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5668-6086","authenticated-orcid":false,"given":"Yasaman","family":"Amannejad","sequence":"first","affiliation":[]},{"given":"Diwakar","family":"Krishnamurthy","sequence":"additional","affiliation":[]},{"given":"Behrouz","family":"Far","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Quantitative System Performance Computer System Analysis Using Queuing Network Models","year":"1984","author":"lazowska","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.4108\/ICST.VALUETOOLS2009.7988"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17358-5_26"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IWQOS.2008.9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SOSE.2015.11"},{"key":"ref30","first-page":"99","article-title":"A combination approach to QoS prediction of Web services","author":"yu","year":"2012","journal-title":"Proc Int Conf Service-Oriented Comput"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2934872.2934882"},{"key":"ref36","first-page":"143","article-title":"WebProphet: Automating performance prediction for Web services","volume":"10","author":"li","year":"2010","journal-title":"Proc NSDI"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2017.08.004"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2017.12.012"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2015.2407877"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2014.2381611"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2015.2479228"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2011.87"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2011.65"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/588160.588162"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2015.7140339"},{"key":"ref21","first-page":"145","article-title":"To auto scale or not to auto scale","author":"mickulicz","year":"2013","journal-title":"Proc 10th Int Conf Auton Comput (ICAC)"},{"journal-title":"Haproxy The Reliable High Performance Tcp\/http Load Balancer","year":"0","key":"ref24"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1145\/2644865.2541941","article-title":"Quasar: Resource-efficient and QoS-aware cluster management","volume":"49","author":"delimitrou","year":"2014","journal-title":"ACM SIGPLAN Notices"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2011.59"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2010.52"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MASCOT.2004.1348316"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/350391.350416"},{"key":"ref53","first-page":"16","article-title":"Correlating instrumentation data to system states: A building block for automated diagnosis and control","volume":"4","author":"cohen","year":"2004","journal-title":"Proc OSDI"},{"key":"ref52","first-page":"1","article-title":"CHAMELEON: A self-evolving, fully-adaptive resource arbitrator for storage systems","author":"uttamchandani","year":"2005","journal-title":"Proc USENIX Annu Tech Conf (ATEC)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2014.2350475"},{"key":"ref11","first-page":"1127","article-title":"Hourly server workload forecasting up to 168 hours ahead using seasonal ARIMA model","author":"debusschere","year":"2012","journal-title":"Proc IEEE Int Conf Ind Technol"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.peva.2010.08.003"},{"key":"ref12","first-page":"43","article-title":"Empirical analysis of predictive algorithms for collaborative filtering","author":"breese","year":"1998","journal-title":"Proc 14th Conf Uncertainty Artif Intell"},{"key":"ref13","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","volume":"1","author":"macqueen","year":"1967","journal-title":"Proc 5th Berkeley Symp Math Statist Probab"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/306225.306235"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2365864.2151028"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4236\/jsea.2011.47046"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CNSM.2010.5691343"},{"key":"ref18","first-page":"137","article-title":"Performance evaluation of virtualization technologies for server consolidation","author":"padala","year":"2007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3014812.3014857"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511754098"},{"key":"ref3","volume":"3","author":"draper","year":"1966","journal-title":"Applied regression analysis"},{"journal-title":"RUBiS Rice University Bidding System","year":"2019","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3"},{"key":"ref8","first-page":"1","article-title":"Response-time modeling for resource allocation and energy-informed SLAs","author":"bod?k","year":"2007","journal-title":"Proc Workshop Stat Learn Techn Solving Syst Problems (MLSys)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1809049.1809067"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2008.30"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CNSM.2016.7818402"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2015.2474367"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2371536.2371545"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.4108\/ICST.VALUETOOLS2009.7526"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.15.6.B280"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2017.2655505"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2011.07.017"},{"key":"ref44","first-page":"1","article-title":"The tail at scale: How to predict it?","author":"nguyen","year":"2016","journal-title":"Proc of 2nd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-6472-4_14"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08826252.pdf?arnumber=8826252","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:00Z","timestamp":1641987060000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8826252\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2939805","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}