{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:30:28Z","timestamp":1761863428465,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1109\/bigdata.2014.7004315","type":"proceedings-article","created":{"date-parts":[[2015,1,13]],"date-time":"2015-01-13T15:04:23Z","timestamp":1421161463000},"page":"854-862","source":"Crossref","is-referenced-by-count":5,"title":["Astro: A predictive model for anomaly detection and feedback-based scheduling on Hadoop"],"prefix":"10.1109","author":[{"given":"Chaitali","family":"Gupta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mayank","family":"Bansal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tzu-Cheng","family":"Chuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ranjan","family":"Sinha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sami","family":"Ben-romdhane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"19","article-title":"SALSa: Analyzing logs as state machines","author":"tan","year":"2008","journal-title":"Proceedings of the First USENIX Conference on Analysis of System Logs"},{"key":"17","article-title":"Disk Failures in Real World: What Does MTTF of 1,000,000 Hours mean to you?","author":"schroeder","year":"2007","journal-title":"Proceedings of the 5th USENIX Conference on File and Storage Technologies"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081927"},{"year":"0","key":"33"},{"key":"15","first-page":"783","article-title":"Machine learning methods for predicting failures in hard Drives: A multiple-instance application","volume":"6","author":"murray","year":"2005","journal-title":"J Mach Learn Res"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956799"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2008.232"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2007.46"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1145\/2523616.2523633"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1145\/1177080.1177099"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2007.370345"},{"key":"20","article-title":"Pip: Detecting the unexpected in Distributed systems","author":"reynolds","year":"2006","journal-title":"Proceedings of the 3rd Conference on Networked Systems Design &Implementation-Volume 3"},{"key":"22","article-title":"Blind men and the elephant: Piecing together hadoop for Diagnosis","author":"pan","year":"2009","journal-title":"Proceedings of ISSRE"},{"key":"23","article-title":"Kahuna: Problem Diagnosis for mapreduce-based cloud computing environments","author":"tan","year":"2010","journal-title":"Proc IEEE\/IFIP Network Operations and Management Symp"},{"year":"0","key":"24"},{"year":"0","key":"25"},{"year":"0","key":"26"},{"year":"0","key":"27"},{"year":"0","key":"28"},{"year":"0","key":"29"},{"journal-title":"Map-Reduce Meets Wider Varieties of Applications","year":"2008","author":"chen","key":"3"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"year":"0","key":"10"},{"year":"0","key":"1"},{"year":"0","key":"30"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1145\/2517349.2522737"},{"key":"6","article-title":"Scientific discovery at the exascale: Report from the doe ascr","author":"ahern","year":"2011","journal-title":"Workshop on Exascale Data Management Analysis and Visualization"},{"key":"32","article-title":"A Comparison of mcc and cen error measures in multi-class prediction","author":"giuseppe","year":"2012","journal-title":"PLoS ONE"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1145\/1996109.1996119"},{"year":"0","key":"31"},{"key":"4","article-title":"A performance comparison of massively parallel sequence matching computations on cloud computing platforms and hpc clusters using hadoop","author":"cannon","year":"2009","journal-title":"Using Clouds for Parallel Computations in Systems Biology Workshop Held at SC09"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.parco.2004.04.001"},{"year":"0","key":"8"}],"event":{"name":"2014 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2014,10,27]]},"location":"Washington, DC, USA","end":{"date-parts":[[2014,10,30]]}},"container-title":["2014 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6973861\/7004197\/07004315.pdf?arnumber=7004315","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T00:58:59Z","timestamp":1490317139000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7004315\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2014.7004315","relation":{},"subject":[],"published":{"date-parts":[[2014,10]]}}}