{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T17:22:47Z","timestamp":1791220967675,"version":"4.1.0"},"reference-count":42,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/bigdata.2016.7840628","type":"proceedings-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T21:46:59Z","timestamp":1486504019000},"page":"390-397","source":"Crossref","is-referenced-by-count":9,"title":["Managing hot metadata for scientific workflows on multisite clouds"],"prefix":"10.1109","author":[{"given":"Luis","family":"Pineda-Morales","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandru","family":"Costan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Esther","family":"Pacitti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel","family":"Antoniu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Valduriez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marta","family":"Mattoso","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2014.7004214"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MASS.2003.1194865"},{"key":"ref33","article-title":"Giraffa","year":"0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/eScience.2010.51"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1851476.1851567"},{"key":"ref30","first-page":"153","article-title":"Spyglass: Fast, scalable metadata search for large-scale storage systems","volume":"9","author":"leung","year":"2009","journal-title":"FAST"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8191(97)00008-2"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/233557.233558"},{"key":"ref35","article-title":"Lustre - OpenSFS","year":"0"},{"key":"ref34","article-title":"Apache HBase","year":"0"},{"key":"ref10","article-title":"CalvinFS: consistent wan replication and scalable metadata management for distributed file systems","author":"thomson","year":"2015","journal-title":"Proc USENIX Conf File and Storage Technologies"},{"key":"ref40","article-title":"Parallel execution of workflows driven by a distributed database management system","author":"souza","year":"2015","journal-title":"ACM\/IEEE Conference on Supercomputing Poster"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2159352.2159356"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1165389.945450"},{"key":"ref13","article-title":"GPFS: A shared-disk file system for large computing clusters","author":"schmuck","year":"2002","journal-title":"Proc of the 1 st USENIX Conference on File and Storage Technologies ser FAST '02"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1328","DOI":"10.14778\/3402755.3402766","article-title":"An algebraic approach for data-centric scientific workflows","volume":"4","author":"ogasawara","year":"2011","journal-title":"Proc of VLDB Endowment"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2012.08.015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/E-SCIENCE.2006.261098"},{"key":"ref17","article-title":"USGS ANSS - Advanced National Seismic System","year":"0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2015.49"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2013.6544811"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1807167.1807232"},{"key":"ref4","article-title":"Amazon Elastic Compute Cloud","year":"0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2005.1"},{"key":"ref3","article-title":"Microsoft Azure Cloud","year":"0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2008.06.012"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920991"},{"key":"ref5","article-title":"Google Cloud Platform","year":"0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkt328"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1155\/2005\/128026"},{"key":"ref2","article-title":"Alice Collaboration","year":"0"},{"key":"ref9","article-title":"Scientific workflow scheduling with provenance support in multi site cloud","author":"liu","year":"2016","journal-title":"High Performance Computing for Computational Science - VECPAR"},{"key":"ref1","article-title":"Resource Quotas - Google Cloud Platform","year":"0"},{"key":"ref20","author":"gibson","year":"2012","journal-title":"Is Your Big Data Hot Warm or Cold?"},{"key":"ref22","article-title":"Azure Speed Test","year":"0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WORKS.2008.4723958"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1023\/A:1007652502315","article-title":"Spade: An efficient algorithm for mining frequent sequences","volume":"42","author":"zaki","year":"0","journal-title":"Machine Learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2008.5217932"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2013.6702685"},{"key":"ref23","article-title":"Microsoft Azure Service Bus","year":"0"},{"key":"ref26","first-page":"1150","article-title":"The end of an architecturalera: Time for a complete rewrite","author":"stonebraker","year":"0","journal-title":"VLDB '07 Proc of the 33rd Inter Conf on Very Large Data Bases"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2013.6691567"}],"event":{"name":"2016 IEEE International Conference on Big Data (Big Data)","location":"Washington DC,USA","start":{"date-parts":[[2016,12,5]]},"end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7818133\/7840573\/07840628.pdf?arnumber=7840628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T01:37:27Z","timestamp":1601602647000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7840628\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2016.7840628","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}