{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:03:20Z","timestamp":1786979000982,"version":"build-2736575974"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319712727","type":"print"},{"value":"9783319712734","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-71273-4_6","type":"book-chapter","created":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T04:12:26Z","timestamp":1514520746000},"page":"64-76","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters"],"prefix":"10.1007","author":[{"given":"You-Luen","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Da-Cheng","family":"Juan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan-An","family":"Tseng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Ting","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shih-Chieh","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,12,30]]},"reference":[{"key":"6_CR1","unstructured":"2016 cost of data center outages report. https:\/\/goo.gl\/OeNM4U"},{"key":"6_CR2","unstructured":"Google cluster data - discussions (2011). https:\/\/groups.google.com\/forum\/#!forum\/googleclusterdata-discuss"},{"issue":"3","key":"6_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00516ED2V01Y201306CAC024","volume":"8","author":"LA Barroso","year":"2013","unstructured":"Barroso, L.A., Clidaras, J., H\u00f6lzle, U.: The datacenter as a computer: an introduction to the design of warehouse-scale machines. Synth. Lect. Comput. Archit. 8(3), 1\u2013154 (2013)","journal-title":"Synth. Lect. Comput. Archit."},{"key":"6_CR4","series-title":"Information Science and Statistics","volume-title":"Pattern Recognition and Machine Learning","author":"C Bishop","year":"2006","unstructured":"Bishop, C.: Pattern Recognition and Machine Learning. Information Science and Statistics. Springer, New York (2006)"},{"key":"6_CR5","volume-title":"Time Series Analysis: Forecasting and Control","author":"GE Box","year":"2015","unstructured":"Box, G.E., Jenkins, G.M., Reinsel, G.C., Ljung, G.M.: Time Series Analysis: Forecasting and Control. Wiley, New York (2015)"},{"issue":"1","key":"6_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Chen, X., Lu, C.-D., Pattabiraman, K.: Failure analysis of jobs in compute clouds: a Google cluster case study. In: 2014 IEEE 25th International Symposium on Software Reliability Engineering, pp. 167\u2013177. IEEE (2014)","DOI":"10.1109\/ISSRE.2014.34"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Guan, Q., Fu, S.: Adaptive anomaly identification by exploring metric subspace in cloud computing infrastructures. In: 2013 IEEE 32nd International Symposium on Reliable Distributed Systems (SRDS), pp. 205\u2013214. IEEE (2013)","DOI":"10.1109\/SRDS.2013.29"},{"key":"6_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/978-3-319-06605-9_17","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"D-C Juan","year":"2014","unstructured":"Juan, D.-C., Li, L., Peng, H.-K., Marculescu, D., Faloutsos, C.: Beyond poisson: modeling inter-arrival time of requests in a datacenter. In: Tseng, V.S., Ho, T.B., Zhou, Z.-H., Chen, A.L.P., Kao, H.-Y. (eds.) PAKDD 2014. LNCS (LNAI), vol. 8444, pp. 198\u2013209. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-06605-9_17"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Liu, Z., Cho, S.: Characterizing machines and workloads on a Google cluster. In: 2012 41st International Conference on Parallel Processing Workshops, pp. 397\u2013403. IEEE (2012)","DOI":"10.1109\/ICPPW.2012.57"},{"key":"6_CR11","unstructured":"Miller, T.D., Crawford Jr., I.L.: Terminating a non-clustered workload in response to a failure of a system with a clustered workload. US Patent 7,653,833, 26 January 2010"},{"issue":"1","key":"6_CR12","first-page":"37","volume":"2","author":"DM Powers","year":"2011","unstructured":"Powers, D.M.: Evaluation: from precision, recall and f-measure to ROC, informedness, markedness and correlation. J. Mach. Learn. Technol. 2(1), 37\u201363 (2011)","journal-title":"J. Mach. Learn. Technol."},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Reiss, C., Tumanov, A., Ganger, G.R., Katz, R.H., Kozuch, M.A.: Heterogeneity and dynamicity of clouds at scale: Google trace analysis. In: SOCC, p. 7. ACM (2012)","DOI":"10.1145\/2391229.2391236"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Reiss, C., Wilkes, J., Hellerstein, J.L.: Google cluster-usage traces: format + schema. Technical report, Google Inc., Mountain View, CA, USA, version 2.1, November 2011. https:\/\/github.com\/google\/cluster-data. Accessed 17 Nov 2014","DOI":"10.1145\/2820468.2820470"},{"issue":"11","key":"6_CR15","doi-asserted-by":"publisher","first-page":"2758","DOI":"10.1109\/78.650102","volume":"45","author":"B Scholkopf","year":"1997","unstructured":"Scholkopf, B., Sung, K.-K., Burges, C.J., Girosi, F., Niyogi, P., Poggio, T., Vapnik, V.: Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. 45(11), 2758\u20132765 (1997)","journal-title":"IEEE Trans. Signal Process."},{"key":"6_CR16","volume-title":"Information Retrieval","author":"C van Rijsbergen","year":"1979","unstructured":"van Rijsbergen, C.: Information Retrieval, 2nd edn. Butterworths, London (1979)","edition":"2"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Verma, A., Pedrosa, L., Korupolu, M., Oppenheimer, D., Tune, E., Wilkes, J.: Large-scale cluster management at Google with Borg. In: Proceedings of the Tenth European Conference on Computer Systems, p. 18. ACM (2015)","DOI":"10.1145\/2741948.2741964"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-71273-4_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T05:09:23Z","timestamp":1751173763000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-71273-4_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319712727","9783319712734"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-71273-4_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"30 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Skopje","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Macedonia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ecmlpkdd2017.ijs.si\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}