{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:51:06Z","timestamp":1740099066812,"version":"3.37.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319920399"},{"type":"electronic","value":"9783319920405"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-92040-5_8","type":"book-chapter","created":{"date-parts":[[2018,5,28]],"date-time":"2018-05-28T07:55:05Z","timestamp":1527494105000},"page":"144-162","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Zeno: A Straggler Diagnosis System for Distributed Computing Using Machine Learning"],"prefix":"10.1007","author":[{"given":"Huanxing","family":"Shen","sequence":"first","affiliation":[]},{"given":"Cong","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,29]]},"reference":[{"key":"8_CR1","unstructured":"Ananthanarayanan, G., Ghodsi, A., Shenker, S., Stoica, I.: Effective straggler mitigation: attack of the clones. In: Proceedings of the 10th USENIX Conference on Networked Systems Design and Implementation (NSDI 2013), pp. 185\u2013198 (2013)"},{"issue":"4","key":"8_CR2","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1109\/TSMC.1978.4309958","volume":"8","author":"T Bailey","year":"1978","unstructured":"Bailey, T., Jain, A.K.: A note on distance-weighted k-nearest neighbor rules. IEEE Trans. Syst. Man Cybern. 8(4), 311\u2013313 (1978)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"6","key":"8_CR3","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/0020-0190(87)90114-1","volume":"24","author":"A Blumer","year":"1987","unstructured":"Blumer, A., Ehrenfeucht, A., Haussler, D., Warmuth, M.: Occam\u2019s razor. Inf. Process. Lett. 24(6), 377\u2013380 (1987)","journal-title":"Inf. Process. Lett."},{"issue":"1","key":"8_CR4","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":"8_CR5","unstructured":"Bremer, P.T., Mohr, B., Pascucci, V., Schulz, M. (eds.): Proceedings of the 2nd Workshop on Visual Performance Analysis (VPA 2015) (2015)"},{"key":"8_CR6","unstructured":"Bremer, P.T., Gimenez, J., Levine, J.A., Schulz, M. (eds.): Proceedings of the 3rd International Workshop on Visual Performance Analysis (VPA 2016) (2016)"},{"issue":"3","key":"8_CR7","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"8_CR8","unstructured":"Dean, J., Ghemawat, S.: Mapreduce: simplified data processing on large clusters. In: Proceedings of the 6th Symposium on Operating System Design and Implementation (OSDI 2004), pp. 137\u2013150 (2004)"},{"key":"8_CR9","unstructured":"Garraghan, P., Ouyang, X., Yang, R., McKee, D., Xu, J.: Straggler root-cause and impact analysis for massive-scale virtualized cloud datacenters. IEEE Trans. Serv. Comput. (2017). https:\/\/ieeexplore.ieee.org\/document\/7572191\/"},{"key":"8_CR10","unstructured":"Gupta, S., Fritz, C., Price, R., Hoover, R., de Kleer, J., Witteveen, C.: ThroughputScheduler: learning to schedule on heterogeneous Hadoop clusters. In: Proceedings of the 10th International Conference on Autonomic Computing (ICAC 2013), pp. 159\u2013165 (2013)"},{"key":"8_CR11","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/B978-1-55860-247-2.50035-8","volume-title":"Machine Learning Proceedings 1992","author":"Wayne Iba","year":"1992","unstructured":"Iba, W., Langley, P.: Induction of one-level decision trees. In: Proceedings of the 9th International Workshop on Machine Learning (ML 1992), pp. 233\u2013240 (1992)"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Isard, M., Prabhakaran, V., Currey, J., Wieder, U., Talwar, K., Goldberg, A.: Quincy: fair scheduling for distributed computing clusters. In: Proceedings of the ACM SIGOPS 22nd Symposium on Operating Systems Principles (SOSP 2009), pp. 261\u2013276 (2009)","DOI":"10.1145\/1629575.1629601"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Li, C., Shen, H., Huang, T.: Learning to diagnose stragglers in distributed computing. In: Proceedings of the 9th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS 2016), pp. 1\u20136 (2016)","DOI":"10.1109\/MTAGS.2016.04"},{"issue":"2","key":"8_CR14","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"SP Lloyd","year":"1982","unstructured":"Lloyd, S.P.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Ng, A.Y.: Feature selection, $$L_1$$L1 vs. $$L_2$$L2 regularization, and rotational invariance. In: Proceedings of the 21st International Conference on Machine Learning (ICML 2004) (2004)","DOI":"10.1145\/1015330.1015435"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Ouyang, X., Garraghan, P., McKee, D., Townend, P., Xu, J.: Straggler detection in parallel computing systems through dynamic threshold calculation. In: Proceedings of the 30th International Conference on Advanced Information Networking and Applications, (AINA 2016), pp. 414\u2013421 (2000)","DOI":"10.1109\/AINA.2016.84"},{"key":"8_CR17","unstructured":"Pelleg, D., Moore, A.W.: X-means: Extending k-means with efficient estimation of the number of clusters. In: Proceedings of the 17th International Conference on Machine Learning (ICML 2000), pp. 727\u2013734 (2000)"},{"issue":"1","key":"8_CR18","first-page":"81","volume":"1","author":"JR Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81\u2013106 (1986)","journal-title":"Mach. Learn."},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Vavilapalli, V.K., Murthy, A.C., Douglas, C., Agarwal, S., Konar, M., Evans, R., Graves, T., Lowe, J., Shah, H., Seth, S., Saha, B., Curino, C., O\u2019Malley, O., Radia, S., Reed, B., Baldeschwieler, E.: Apache Hadoop YARN: yet another resource negotiator. In: Proceedings of the 4th Annual Symposium on Cloud Computing (SOCC 2013) (2013)","DOI":"10.1145\/2523616.2523633"},{"key":"8_CR20","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 10th European Conference on Computer Systems (EuroSys 2015) (2015)","DOI":"10.1145\/2741948.2741964"},{"issue":"1","key":"8_CR21","first-page":"3692","volume":"17","author":"NJ Yadwadkar","year":"2016","unstructured":"Yadwadkar, N.J., Hariharan, B., Gonzalez, J.E., Katz, R.: Multi-task learning for straggler avoiding predictive job scheduling. J. Mach. Learn. Res. 17(1), 3692\u20133728 (2016)","journal-title":"J. Mach. Learn. Res."},{"key":"8_CR22","unstructured":"Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 2010) (2010)"},{"issue":"13","key":"8_CR23","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.14778\/2733004.2733012","volume":"7","author":"Z Zhang","year":"2014","unstructured":"Zhang, Z., Li, C., Tao, Y., Yang, R., Tang, H., Xu, J.: Fuxi: a fault-tolerant resource management and job scheduling system at internet scale. Proc. VLDB Endow. 7(13), 1393\u20131404 (2014)","journal-title":"Proc. VLDB Endow."}],"container-title":["Lecture Notes in Computer Science","High Performance Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92040-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T13:56:57Z","timestamp":1571407017000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-92040-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319920399","9783319920405"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92040-5_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}