{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T16:14:51Z","timestamp":1764260091816,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.23919\/spects.2019.8823508","type":"proceedings-article","created":{"date-parts":[[2019,9,5]],"date-time":"2019-09-05T23:30:47Z","timestamp":1567726247000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Influence of the trace resolution and length in the cost optimization process in cloud computing"],"prefix":"10.23919","author":[{"given":"Javier","family":"GarcIa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JoaquIn","family":"Entrialgo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose Luis","family":"DIaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"GarcIa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel F.","family":"GarcIa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"The Internet Traffic Archives WorldCup98","year":"1998","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68066-8_12"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.02.004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2015.2390413"},{"journal-title":"Analytics\/data\/pagecounts-raw &#x2014; Wikitech","year":"2015","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2248487.2150982"},{"key":"ref11","first-page":"196211","article-title":"Bigdatabench: An open-source big data benchmark suite","volume":"39","author":"zhan","year":"2016","journal-title":"Chinese Journal of Computers"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2017.123"},{"journal-title":"Spec cloud&#x00AE; iaas 2016","year":"2019","key":"ref13"},{"journal-title":"Spec cloud&#x00AE; iaas 2018","year":"2019","key":"ref14"},{"journal-title":"Rain A Workload Generation Toolkit for Cloud Computing Applications","year":"2010","author":"beitch","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4236\/jsea.2011.47046"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.08.016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2016.03.024"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/10798587.2016.1152774"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2014.97"},{"journal-title":"Google Compute Engine","year":"2019","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2012.103"},{"journal-title":"Microsoft azure virtual machines","year":"2019","key":"ref3"},{"journal-title":"Announcing amazon EC2 per second billing","year":"2017","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2014.2326409"},{"journal-title":"Extending per second billing in google cloud","year":"2017","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-30599-8_20"},{"journal-title":"Azure - linux virtual machines pricing","year":"2019","key":"ref7"},{"journal-title":"Amazon EC2","year":"2019","key":"ref2"},{"journal-title":"List of workloads traces and models for distributed systems","year":"2019","key":"ref9"},{"journal-title":"Amazon EC2 Instance Types","year":"2019","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2007.4362193"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISADS.2015.17"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MASCOTS.2011.59"},{"journal-title":"More Google Cluster Data","year":"2011","author":"wilkes","key":"ref24"},{"key":"ref23","first-page":"452","article-title":"Clustering cloud workload traces to improve the performance of cloud data centers","author":"yousif","year":"2017","journal-title":"Proceedings of the World Congress on Engineering 2017"},{"journal-title":"Workload Classification for Efficient Auto-scaling of Cloud Resources","year":"2013","author":"ali-eldin","key":"ref26"},{"journal-title":"Google Cluster-Usage Traces Format + Schema","year":"2011","author":"reiss","key":"ref25"}],"event":{"name":"2019 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)","start":{"date-parts":[[2019,7,22]]},"location":"Berlin, Germany","end":{"date-parts":[[2019,7,24]]}},"container-title":["2019 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8820095\/8823165\/08823508.pdf?arnumber=8823508","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:43:09Z","timestamp":1569901389000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8823508\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":34,"URL":"https:\/\/doi.org\/10.23919\/spects.2019.8823508","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}