{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:30:56Z","timestamp":1750221056991,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T00:00:00Z","timestamp":1539216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,11]]},"DOI":"10.1145\/3267809.3267812","type":"proceedings-article","created":{"date-parts":[[2018,9,28]],"date-time":"2018-09-28T18:00:41Z","timestamp":1538157641000},"page":"14-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Dynamic and Decentralized Global Analytics via Machine Learning"],"prefix":"10.1145","author":[{"given":"Hao","family":"Wang","sequence":"first","affiliation":[{"name":"University of Toronto"}]},{"given":"Di","family":"Niu","sequence":"additional","affiliation":[{"name":"University of Alberta"}]},{"given":"Baochun","family":"Li","sequence":"additional","affiliation":[{"name":"University of Toronto"}]}],"member":"320","published-online":{"date-parts":[[2018,10,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/2228298.2228327"},{"key":"e_1_3_2_1_2_1","volume-title":"Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI).","author":"Alipourfard Omid","year":"2017","unstructured":"Omid Alipourfard , Hongqiang Harry Liu , Jianshu Chen , Shivaram Venkataraman , Minlan Yu , and Ming Zhang . 2017 . CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics . In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI). Omid Alipourfard, Hongqiang Harry Liu, Jianshu Chen, Shivaram Venkataraman, Minlan Yu, and Ming Zhang. 2017. CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI)."},{"key":"e_1_3_2_1_3_1","unstructured":"Apache. 2016. Apache Hadoop Official Website. http:\/\/hadoop.apache.org\/. {Online; accessed 1-May-2016}.  Apache. 2016. Apache Hadoop Official Website. http:\/\/hadoop.apache.org\/. {Online; accessed 1-May-2016}."},{"volume-title":"Apache HBase Official Website. https:\/\/hbase.apache.org. {Online","year":"2016","key":"e_1_3_2_1_4_1","unstructured":"Apache. 2016. Apache HBase Official Website. https:\/\/hbase.apache.org. {Online ; accessed 1- May - 2016 }. Apache. 2016. Apache HBase Official Website. https:\/\/hbase.apache.org. {Online; accessed 1-May-2016}."},{"volume-title":"Apache Hive Official Website. https:\/\/hive.apache.org. {Online","year":"2016","key":"e_1_3_2_1_5_1","unstructured":"Apache. 2016. Apache Hive Official Website. https:\/\/hive.apache.org. {Online ; accessed 1- May - 2016 }. Apache. 2016. Apache Hive Official Website. https:\/\/hive.apache.org. {Online; accessed 1-May-2016}."},{"volume-title":"Apache Phoenix: OLTP and Operational Analytics for Apache Hadoop. https:\/\/phoenix.apache.org. {Online","year":"2017","key":"e_1_3_2_1_6_1","unstructured":"Apache. 2017 . Apache Phoenix: OLTP and Operational Analytics for Apache Hadoop. https:\/\/phoenix.apache.org. {Online ; accessed 1-September-2017}. Apache. 2017. Apache Phoenix: OLTP and Operational Analytics for Apache Hadoop. https:\/\/phoenix.apache.org. {Online; accessed 1-September-2017}."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2742797"},{"key":"e_1_3_2_1_8_1","volume-title":"Amazon EC2 and Amazon Virtual Private Cloud. https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/using-vpc.html. {Online","author":"AWS.","year":"2018","unstructured":"AWS. 2016. Amazon EC2 and Amazon Virtual Private Cloud. https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/using-vpc.html. {Online ; accessed 30- January - 2018 }. AWS. 2016. Amazon EC2 and Amazon Virtual Private Cloud. https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/using-vpc.html. {Online; accessed 30-January-2018}."},{"key":"e_1_3_2_1_9_1","volume-title":"AWS Global Infrastructure. https:\/\/aws.amazon.com\/about-aws\/global-infrastructure\/. {Online","author":"AWS.","year":"2016","unstructured":"AWS. 2016. AWS Global Infrastructure. https:\/\/aws.amazon.com\/about-aws\/global-infrastructure\/. {Online ; accessed 1- July - 2016 }. AWS. 2016. AWS Global Infrastructure. https:\/\/aws.amazon.com\/about-aws\/global-infrastructure\/. {Online; accessed 1-July-2016}."},{"key":"e_1_3_2_1_10_1","volume-title":"AWS RedShift Official Website. https:\/\/aws.amazon.com\/redshift\/. {Online","author":"AWS.","year":"2016","unstructured":"AWS. 2016. AWS RedShift Official Website. https:\/\/aws.amazon.com\/redshift\/. {Online ; accessed 1- May - 2016 }. AWS. 2016. AWS RedShift Official Website. https:\/\/aws.amazon.com\/redshift\/. {Online; accessed 1-May-2016}."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3190662"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/275487.275492"},{"key":"e_1_3_2_1_13_1","unstructured":"Transaction Processing Performance Council. 201"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2541940.2541941"},{"volume-title":"Facebook Latest Datacenter Construction. https:\/\/www.facebook.com\/notes\/clonee-data-center\/breaking-ground-at-clonee\/675009992639648. {Online","year":"2016","key":"e_1_3_2_1_15_1","unstructured":"Facebook. 2016. Facebook Latest Datacenter Construction. https:\/\/www.facebook.com\/notes\/clonee-data-center\/breaking-ground-at-clonee\/675009992639648. {Online ; accessed 1- July - 2016 }. Facebook. 2016. Facebook Latest Datacenter Construction. https:\/\/www.facebook.com\/notes\/clonee-data-center\/breaking-ground-at-clonee\/675009992639648. {Online; accessed 1-July-2016}."},{"key":"e_1_3_2_1_16_1","series-title":"Springer series in statistics New York","volume-title":"The Elements of Statistical Learning","author":"Friedman Jerome","unstructured":"Jerome Friedman , Trevor Hastie , and Robert Tibshirani . 2001. The Elements of Statistical Learning . Springer series in statistics New York . Jerome Friedman, Trevor Hastie, and Robert Tibshirani. 2001. The Elements of Statistical Learning. Springer series in statistics New York."},{"key":"e_1_3_2_1_17_1","unstructured":"Google. 2016. Google Datacenter Locations. http:\/\/www.google.com\/about\/datacenters\/inside\/locations\/. {Online; accessed 1-July-2016}.  Google. 2016. Google Datacenter Locations. http:\/\/www.google.com\/about\/datacenters\/inside\/locations\/. {Online; accessed 1-July-2016}."},{"volume-title":"Google Cloud Compute Engine Regions and Zones. https:\/\/cloud.google.com\/compute\/docs\/regions-zones\/regions-zones. {Online","year":"2017","key":"e_1_3_2_1_18_1","unstructured":"Google. 2017. Google Cloud Compute Engine Regions and Zones. https:\/\/cloud.google.com\/compute\/docs\/regions-zones\/regions-zones. {Online ; accessed 1- September - 2017 }. Google. 2017. Google Cloud Compute Engine Regions and Zones. https:\/\/cloud.google.com\/compute\/docs\/regions-zones\/regions-zones. {Online; accessed 1-September-2017}."},{"volume-title":"Google Cloud Platform for Data Center Professionals: Networking. https:\/\/cloud.google.com\/docs\/compare\/data-centers\/networking. {Online","year":"2018","key":"e_1_3_2_1_19_1","unstructured":"Google. 2018. Google Cloud Platform for Data Center Professionals: Networking. https:\/\/cloud.google.com\/docs\/compare\/data-centers\/networking. {Online ; accessed 30- January - 2018 }. Google. 2018. Google Cloud Platform for Data Center Professionals: Networking. https:\/\/cloud.google.com\/docs\/compare\/data-centers\/networking. {Online; accessed 30-January-2018}."},{"key":"e_1_3_2_1_20_1","volume-title":"Proc. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI).","author":"Grandl Robert","year":"2016","unstructured":"Robert Grandl , Srikanth Kandula , Sriram Rao , Aditya Akella , and Janardhan Kulkarni . 2016 . Graphene: Packing and dependency-aware scheduling for data-parallel clusters . In Proc. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI). Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, and Janardhan Kulkarni. 2016. Graphene: Packing and dependency-aware scheduling for data-parallel clusters. In Proc. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1247480.1247569"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806777.2806780"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/356924.356928"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610531"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.14778\/2850583.2850594"},{"key":"e_1_3_2_1_26_1","unstructured":"Alberto Leon-Garcia and Vladimiro Cirillo. 2018. The SAVI Testbed. http:\/\/www.savinetwork.ca\/about-savi\/. {Online; accessed 1-Jan-2018}.  Alberto Leon-Garcia and Vladimiro Cirillo. 2018. The SAVI Testbed. http:\/\/www.savinetwork.ca\/about-savi\/. {Online; accessed 1-Jan-2018}."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3005745.3005750"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1007568.1007642"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2785956.2787505"},{"volume-title":"Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI).","author":"Rabkin A.","key":"e_1_3_2_1_30_1","unstructured":"A. Rabkin , M. Arye , S. Sen , V. Pai , and M. Freedman . 2014. Aggregation and Degradation in JetStream: Streaming Analytics in the Wide Area . In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI). A. Rabkin, M. Arye, S. Sen, V. Pai, and M. Freedman. 2014. Aggregation and Degradation in JetStream: Streaming Analytics in the Wide Area. In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687553.1687609"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3064029"},{"key":"e_1_3_2_1_33_1","volume-title":"Proc. 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI).","author":"Venkataraman Shivaram","year":"2016","unstructured":"Shivaram Venkataraman , Zongheng Yang , Michael Franklin , Benjamin Recht , and Ion Stoica . 2016 . Ernest: efficient performance prediction for large-scale advanced analytics . In Proc. 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI). Shivaram Venkataraman, Zongheng Yang, Michael Franklin, Benjamin Recht, and Ion Stoica. 2016. Ernest: efficient performance prediction for large-scale advanced analytics. In Proc. 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI)."},{"key":"e_1_3_2_1_34_1","volume-title":"Proc. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI).","author":"Viswanathan Raajay","year":"2016","unstructured":"Raajay Viswanathan , Ganesh Ananthanarayanan , and Aditya Akella . 2016 . Clarinet: WAN-Aware Optimization for Analytics Queries . In Proc. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI). Raajay Viswanathan, Ganesh Ananthanarayanan, and Aditya Akella. 2016. Clarinet: WAN-Aware Optimization for Analytics Queries. In Proc. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI)."},{"volume-title":"Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI).","author":"Vulimiri A.","key":"e_1_3_2_1_35_1","unstructured":"A. Vulimiri , C. Curino , P. Godfrey , T. Jungblut , J. Padhye , and G. Varghese . 2015. Global Analytics in the Face of Bandwidth and Regulatory Constraints . In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI). A. Vulimiri, C. Curino, P. Godfrey, T. Jungblut, J. Padhye, and G. Varghese. 2015. Global Analytics in the Face of Bandwidth and Regulatory Constraints. In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI)."},{"volume-title":"Proc. Conference on Innovative Data Systems Research (CIDR).","author":"Vulimiri A.","key":"e_1_3_2_1_36_1","unstructured":"A. Vulimiri , C. Curino , P. Godfrey , K. Karanasos , and G. Varghese . 2015. WANalytics: Analytics for A Geo-Distributed Data-Intensive World . In Proc. Conference on Innovative Data Systems Research (CIDR). A. Vulimiri, C. Curino, P. Godfrey, K. Karanasos, and G. Varghese. 2015. WANalytics: Analytics for A Geo-Distributed Data-Intensive World. In Proc. Conference on Innovative Data Systems Research (CIDR)."},{"key":"e_1_3_2_1_37_1","volume-title":"Proc. the 9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17)","author":"Wang Hao","year":"2017","unstructured":"Hao Wang and Baochun Li . 2017 . Lube: Mitigating Bottlenecks in Wide Area Data Analytics . In Proc. the 9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17) . Hao Wang and Baochun Li. 2017. Lube: Mitigating Bottlenecks in Wide Area Data Analytics. In Proc. the 9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17)."},{"volume-title":"Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI).","author":"Zaharia M.","key":"e_1_3_2_1_38_1","unstructured":"M. Zaharia , M. Chowdhury , T. Das , A. Dave , J. Ma , M. McCauley , M. Franklin , S. Shenker , and I. Stoica . 2012. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing . In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI). M. Zaharia, M. Chowdhury, T. Das, A. Dave, J. Ma, M. McCauley, M. Franklin, S. Shenker, and I. Stoica. 2012. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. In Proc. USENIX Symposium on Networked Systems Design and Implementation (NSDI)."}],"event":{"name":"SoCC '18: ACM Symposium on Cloud Computing","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGOPS ACM Special Interest Group on Operating Systems"],"location":"Carlsbad CA USA","acronym":"SoCC '18"},"container-title":["Proceedings of the ACM Symposium on Cloud Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3267809.3267812","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3267809.3267812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:44:30Z","timestamp":1750207470000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3267809.3267812"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,11]]},"references-count":38,"alternative-id":["10.1145\/3267809.3267812","10.1145\/3267809"],"URL":"https:\/\/doi.org\/10.1145\/3267809.3267812","relation":{},"subject":[],"published":{"date-parts":[[2018,10,11]]},"assertion":[{"value":"2018-10-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}