{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T07:57:46Z","timestamp":1791187066924,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2011,11,12]],"date-time":"2011-11-12T00:00:00Z","timestamp":1321056000000},"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":[[2011,11,12]]},"DOI":"10.1145\/2063384.2063462","type":"proceedings-article","created":{"date-parts":[[2011,11,8]],"date-time":"2011-11-08T13:32:09Z","timestamp":1320759129000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":120,"title":["Purlieus"],"prefix":"10.1145","author":[{"given":"Balaji","family":"Palanisamy","sequence":"first","affiliation":[{"name":"College of Computing Georgia Tech"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aameek","family":"Singh","sequence":"additional","affiliation":[{"name":"IBM Research - Almaden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computing Georgia Tech"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bhushan","family":"Jain","sequence":"additional","affiliation":[{"name":"IBM India Software Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2011,11,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Cloud-Computing Budgets Are Growing and Shifting","author":"User Survey Analysis B.","year":"2010","unstructured":"B. Igou \" User Survey Analysis : Cloud-Computing Budgets Are Growing and Shifting ; Traditional IT Services Providers Must Prepare or Perish\". Gartner Report , 2010 B. Igou \"User Survey Analysis: Cloud-Computing Budgets Are Growing and Shifting; Traditional IT Services Providers Must Prepare or Perish\". Gartner Report, 2010"},{"key":"e_1_3_2_1_2_1","unstructured":"http:\/\/en.wikipedia.org\/wiki\/Loop_device  http:\/\/en.wikipedia.org\/wiki\/Loop_device"},{"key":"e_1_3_2_1_3_1","volume-title":"OSDI","author":"Dean J.","year":"2004","unstructured":"J. Dean and S. Ghemawat . Mapreduce: Simplified data processing on large clusters . In OSDI , 2004 . J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters. In OSDI, 2004."},{"key":"e_1_3_2_1_4_1","volume-title":"OSDI","author":"Ananthanarayanan G.","year":"2010","unstructured":"G. Ananthanarayanan , S. Kandula , A. Greenberg , I. Stoica , Y. Lu , B. Saha and E. Harris . Reining in the Outliers inMap-Reduce Clusters using Mantri . In OSDI , 2010 . G. Ananthanarayanan, S. Kandula, A. Greenberg, I. Stoica, Y. Lu, B. Saha and E. Harris. Reining in the Outliers inMap-Reduce Clusters using Mantri. In OSDI, 2010."},{"key":"e_1_3_2_1_5_1","unstructured":"http:\/\/en.wikipedia.org\/wiki\/Big-data  http:\/\/en.wikipedia.org\/wiki\/Big-data"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807128.1807150"},{"key":"e_1_3_2_1_7_1","unstructured":"http:\/\/en.wikipedia.org\/wiki\/Clickstream  http:\/\/en.wikipedia.org\/wiki\/Clickstream"},{"key":"e_1_3_2_1_8_1","volume-title":"HotCloud","author":"Kambatla K.","year":"2009","unstructured":"K. Kambatla , A. Pathak and H. Pucha . Towards Optimizing Hadoop Provisioning in the Cloud . In HotCloud , 2009 . K. Kambatla, A. Pathak and H. Pucha. Towards Optimizing Hadoop Provisioning in the Cloud. In HotCloud, 2009."},{"key":"e_1_3_2_1_9_1","unstructured":"Cloudera. http:\/\/www.cloudera.com\/blog\/2010\/08\/hadoop-for-fraud-detection-and-prevention\/  Cloudera. http:\/\/www.cloudera.com\/blog\/2010\/08\/hadoop-for-fraud-detection-and-prevention\/"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2010.5447919"},{"key":"e_1_3_2_1_11_1","unstructured":"Hadoop DFS User Guide. http:\/\/hadoop.apache.org\/.  Hadoop DFS User Guide. http:\/\/hadoop.apache.org\/."},{"key":"e_1_3_2_1_12_1","volume-title":"NSDI","author":"Wood T.","year":"2007","unstructured":"T. Wood , P. Shenoy , A. Venkataramani and M. Yousif . Black-box and Gray-box Strategies for Virtual Machine Migration . In NSDI , 2007 . T. Wood, P. Shenoy, A. Venkataramani and M. Yousif. Black-box and Gray-box Strategies for Virtual Machine Migration. In NSDI, 2007."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1592681.1592693"},{"key":"e_1_3_2_1_14_1","unstructured":"Amazon Elastic MapReduce. http:\/\/aws.amazon.com\/elasticmapreduce\/  Amazon Elastic MapReduce. http:\/\/aws.amazon.com\/elasticmapreduce\/"},{"key":"e_1_3_2_1_15_1","unstructured":"Amazon Elastic Compute Cloud. http:\/\/aws.amazon.com\/ec2\/  Amazon Elastic Compute Cloud. http:\/\/aws.amazon.com\/ec2\/"},{"key":"e_1_3_2_1_16_1","unstructured":"Amazon Simple Storage Service. http:\/\/aws.amazon.com\/s3\/  Amazon Simple Storage Service. http:\/\/aws.amazon.com\/s3\/"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom.2010.107"},{"key":"e_1_3_2_1_18_1","volume-title":"STEAMEngine: Optimizing MapReduce provisioning in the cloud. Dept. of CSE","author":"Cardosa M.","year":"2010","unstructured":"M. Cardosa , P. Narang , A. Chandra , H. Pucha and A. Singh . STEAMEngine: Optimizing MapReduce provisioning in the cloud. Dept. of CSE , Univ. of Minnesota , 2010 . M. Cardosa, P. Narang, A. Chandra, H. Pucha and A. Singh. STEAMEngine: Optimizing MapReduce provisioning in the cloud. Dept. of CSE, Univ. of Minnesota, 2010."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1402958.1402967"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1402958.1402968"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1592568.1592576"},{"key":"e_1_3_2_1_22_1","volume-title":"NSDI","author":"Al-Fares M.","year":"2010","unstructured":"M. Al-Fares , S. Radhakrishnan , B. Raghavan , N. Huang , A. Vahdat . Hedera : Dynamic Flow Scheduling for Data Center Networks . In NSDI , 2010 . M. Al-Fares, S. Radhakrishnan, B. Raghavan, N. Huang, A. Vahdat. Hedera: Dynamic Flow Scheduling for Data Center Networks. In NSDI, 2010."},{"key":"e_1_3_2_1_23_1","unstructured":"Hadoop. http:\/\/hadoop.apache.org.  Hadoop. http:\/\/hadoop.apache.org."},{"key":"e_1_3_2_1_24_1","volume-title":"OSDI","author":"Zaharia M.","year":"2008","unstructured":"M. Zaharia , A. Konwinski , A. D. Joseph , R. Katz , I. Stoica . Improving MapReduce Performance in Heterogeneous Environments . In OSDI , 2008 . M. Zaharia, A. Konwinski, A. D. Joseph, R. Katz, I. Stoica. Improving MapReduce Performance in Heterogeneous Environments. In OSDI, 2008."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1629575.1629601"},{"key":"e_1_3_2_1_26_1","volume-title":"MASCOTS","author":"Wang G.","year":"2009","unstructured":"G. Wang , A. Butt , P. Pandey , K. Gupta . A Simulation Approach to Evaluating Design Decisions in MapReduce Setups . MASCOTS , 2009 . G. Wang, A. Butt, P. Pandey, K. Gupta. A Simulation Approach to Evaluating Design Decisions in MapReduce Setups. MASCOTS, 2009."},{"key":"e_1_3_2_1_27_1","volume-title":"Quality and Quantity","author":"Mokken R. J.","year":"1973","unstructured":"R. J. Mokken . Cliques, clubs and clans . In Quality and Quantity , 1973 . R. J. Mokken. Cliques, clubs and clans. In Quality and Quantity, 1973."},{"key":"e_1_3_2_1_28_1","volume-title":"Computers and Intractability: A Guide to the Theory of NP-Completeness","author":"Garey M. R.","unstructured":"M. R. Garey , D. S. Johnson . Computers and Intractability: A Guide to the Theory of NP-Completeness . W. H. Freeman . ISBN 0-7167-1045-5. M. R. Garey, D. S. Johnson. Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman. ISBN 0-7167-1045-5."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1555271.1555282"},{"key":"e_1_3_2_1_30_1","volume-title":"HotCloud","author":"Kambatla K.","year":"2009","unstructured":"K. Kambatla , A. Pathak , and H. Pucha . Towards optimizing hadoop provisioning in the cloud . In HotCloud , 2009 . K. Kambatla, A. Pathak, and H. Pucha. Towards optimizing hadoop provisioning in the cloud. In HotCloud, 2009."},{"key":"e_1_3_2_1_31_1","volume-title":"CIDR","author":"Herodotou H.","year":"2011","unstructured":"H. Herodotou , H. Lim , G. Luo , N. Borisov , L. Dong , F. B. Cetin , S. Babu Starfish : A Selftuning System for Big Data Analytics . In CIDR , 2011 . H. Herodotou, H. Lim, G. Luo, N. Borisov, L. Dong, F. B. Cetin, S. Babu Starfish: A Selftuning System for Big Data Analytics. In CIDR, 2011."},{"key":"e_1_3_2_1_32_1","volume-title":"NOMS","author":"Khanna G.","year":"2006","unstructured":"G. Khanna , K. Beaty , G. Kar , and A. Kochut . Application performance management in virtualized server environments . In NOMS , 2006 . G. Khanna, K. Beaty, G. Kar, and A. Kochut. Application performance management in virtualized server environments. In NOMS, 2006."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1555349.1555384"},{"key":"e_1_3_2_1_34_1","unstructured":"Scheduling in hadoop. http:\/\/www.cloudera.com\/blog\/tag\/scheduling\/.  Scheduling in hadoop. http:\/\/www.cloudera.com\/blog\/tag\/scheduling\/."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/1413370.1413424"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/1496950.1496966"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1592568.1592604"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1851276.1851278"}],"event":{"name":"SC '11: International Conference for High Performance Computing, Networking, Storage and Analysis","location":"Seattle Washington","acronym":"SC '11","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture","IEEE-CS Computer Society"]},"container-title":["Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2063384.2063462","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2063384.2063462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T10:06:08Z","timestamp":1750241168000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2063384.2063462"}},"subtitle":["locality-aware resource allocation for MapReduce in a cloud"],"short-title":[],"issued":{"date-parts":[[2011,11,12]]},"references-count":38,"alternative-id":["10.1145\/2063384.2063462","10.1145\/2063384"],"URL":"https:\/\/doi.org\/10.1145\/2063384.2063462","relation":{},"subject":[],"published":{"date-parts":[[2011,11,12]]},"assertion":[{"value":"2011-11-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}