{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:13:02Z","timestamp":1730200382108,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622425","type":"proceedings-article","created":{"date-parts":[[2019,1,25]],"date-time":"2019-01-25T03:07:18Z","timestamp":1548385638000},"page":"1302-1307","source":"Crossref","is-referenced-by-count":3,"title":["dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems"],"prefix":"10.1109","author":[{"given":"Niyazi","family":"Sorkunlu","sequence":"first","affiliation":[]},{"given":"Duc Thanh","family":"Anh Luong","sequence":"additional","affiliation":[]},{"given":"Varun","family":"Chandola","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SRDS.2016.017"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-1904-8","author":"jolliffe","year":"1986","journal-title":"Principal Component Analysis"},{"key":"ref12","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.132"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2015.68"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/HiPC.2014.7116903"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2017.70"},{"key":"ref17","first-page":"4","article-title":"Mining console logs for large-scale system problem detection","author":"xu","year":"2008","journal-title":"SysML"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1137\/S003614450037906X","article-title":"Atomic decomposition by basis pursuit","volume":"43","author":"chen","year":"2001","journal-title":"SIAM Rev"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2012.6263926"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SRDS.2013.20"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/HiPC.2016.035"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.60"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/HUST.2014.7"},{"key":"ref2","article-title":"Unsupervised feature learning and deep learning: A review and new perspectives","volume":"abs 1206 5538","author":"bengio","year":"2012","journal-title":"CoRR"},{"key":"ref1","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","volume":"16","author":"abadi","year":"2016","journal-title":"OSDI"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/HIPC.2010.5713169"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2018,12,10]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08622425.pdf?arnumber=8622425","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:26:26Z","timestamp":1643239586000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622425\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622425","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}