{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:09:21Z","timestamp":1750306161378,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,8,25]],"date-time":"2016-08-25T00:00:00Z","timestamp":1472083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Anna Centenary Research Fellowship (ACRF)","award":["CFR\/ACRF\/2015\/15"],"award-info":[{"award-number":["CFR\/ACRF\/2015\/15"]}]},{"name":"Microsoft Azure sponsorship Award"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,8,25]]},"DOI":"10.1145\/2980258.2980461","type":"proceedings-article","created":{"date-parts":[[2016,11,2]],"date-time":"2016-11-02T12:22:17Z","timestamp":1478089337000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["AEGEUS"],"prefix":"10.1145","author":[{"given":"Vimalkumar","family":"Kumaresan","sequence":"first","affiliation":[{"name":"College of Engineering Guindy, Anna University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Baskaran","sequence":"additional","affiliation":[{"name":"College of Engineering Guindy, Anna University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,8,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Puma: Purdue mapreduce benchmarks suite","author":"Ahmad F.","year":"2012","unstructured":"F. Ahmad , S. Lee , M. Thottethodi , and T. Vijaykumar . Puma: Purdue mapreduce benchmarks suite . 2012 . F. Ahmad, S. Lee, M. Thottethodi, and T. Vijaykumar. Puma: Purdue mapreduce benchmarks suite. 2012."},{"key":"e_1_3_2_1_2_1","first-page":"24","volume-title":"OSDI","volume":"10","author":"Ananthanarayanan G.","year":"2010","unstructured":"G. Ananthanarayanan , S. Kandula , A. G. Greenberg , I. Stoica , Y. Lu , B. Saha , and E. Harris . Reining in the outliers in map-reduce clusters using mantri . In OSDI , volume 10 , page 24 , 2010 . G. Ananthanarayanan, S. Kandula, A. G. Greenberg, I. Stoica, Y. Lu, B. Saha, and E. Harris. Reining in the outliers in map-reduce clusters using mantri. In OSDI, volume 10, page 24, 2010."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2014.2350972"},{"key":"e_1_3_2_1_4_1","unstructured":"M. Company. http:\/\/www.mckinsey.com\/business-functions\/business-technology\/our-insights\/the-need-to-lead-in-data-and-analytics. visited 10-may-2016.  M. Company. http:\/\/www.mckinsey.com\/business-functions\/business-technology\/our-insights\/the-need-to-lead-in-data-and-analytics. visited 10-may-2016."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2013.43"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2608020.2608021"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2595634"},{"key":"e_1_3_2_1_9_1","unstructured":"A. Hadoop. https:\/\/hadoop.apache.org\/.  A. Hadoop. https:\/\/hadoop.apache.org\/."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom.2011.87"},{"key":"e_1_3_2_1_11_1","first-page":"37","volume-title":"ICML","author":"Hsu D.","year":"2014","unstructured":"D. Hsu and S. Sabato . Heavy-tailed regression with a generalized median-of-means . In ICML , pages 37 -- 45 , 2014 . D. Hsu and S. Sabato. Heavy-tailed regression with a generalized median-of-means. In ICML, pages 37--45, 2014."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom.2010.25"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213840"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2014.6848141"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-015-9362-8"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2015.7140272"},{"key":"e_1_3_2_1_17_1","first-page":"469","volume-title":"Advances in Neural Information Processing Systems","author":"Sabato S.","year":"2014","unstructured":"S. Sabato and R. Munos . Active regression by stratification . In Advances in Neural Information Processing Systems , pages 469 -- 477 , 2014 . S. Sabato and R. Munos. Active regression by stratification. In Advances in Neural Information Processing Systems, pages 469--477, 2014."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2523616.2523633"},{"key":"e_1_3_2_1_19_1","unstructured":"vCloud. http:\/\/www.vcloudnews.com\/every-day-big-data-statistics-2-5-quintillion-bytes-of-data-created-daily. visited 10-may-2016.  vCloud. http:\/\/www.vcloudnews.com\/every-day-big-data-statistics-2-5-quintillion-bytes-of-data-created-daily. visited 10-may-2016."},{"key":"e_1_3_2_1_20_1","first-page":"189","volume-title":"11th International Conference on Autonomic Computing (ICAC 14)","author":"Zaheilas N.","year":"2014","unstructured":"N. Zaheilas and V. Kalogeraki . Real-time scheduling of skewed mapreduce jobs in heterogeneous environments . In 11th International Conference on Autonomic Computing (ICAC 14) , pages 189 -- 200 , 2014 . N. Zaheilas and V. Kalogeraki. Real-time scheduling of skewed mapreduce jobs in heterogeneous environments. In 11th International Conference on Autonomic Computing (ICAC 14), pages 189--200, 2014."}],"event":{"name":"ICIA-16: International Conference on Informatics and Analytics","acronym":"ICIA-16","location":"Pondicherry India"},"container-title":["Proceedings of the International Conference on Informatics and Analytics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2980258.2980461","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2980258.2980461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:39:51Z","timestamp":1750217991000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2980258.2980461"}},"subtitle":["An online partition skew mitigation algorithm for mapreduce"],"short-title":[],"issued":{"date-parts":[[2016,8,25]]},"references-count":20,"alternative-id":["10.1145\/2980258.2980461","10.1145\/2980258"],"URL":"https:\/\/doi.org\/10.1145\/2980258.2980461","relation":{},"subject":[],"published":{"date-parts":[[2016,8,25]]},"assertion":[{"value":"2016-08-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}