{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:18:13Z","timestamp":1750306693031,"version":"3.41.0"},"reference-count":15,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2014,4,17]],"date-time":"2014-04-17T00:00:00Z","timestamp":1397692800000},"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":["SIGMETRICS Perform. Eval. Rev."],"published-print":{"date-parts":[[2014,4,17]]},"abstract":"<jats:p>The term Big Data was recently coined as the amount of generated and stored digital data has grown so rapidly that it has become very hard to store, manage and analyze without coming up with new techniques that can cope with such challenges. Finding innovative approaches to support big data analysis has become a priority as both the research community and the industry are trying to make use of these huge amounts of available data. In this paper we introduce a new approach to enhance the overall big data analysis performance. The approach calls for utilizing data set replication, parallel download, and parallel processing over multiple compute nodes. The main concept calls for simultaneously parallelizing the download of the data (in partitions) from multiple replicated sites to multiple compute nodes that will also perform the analysis in parallel. Then the results are given to the client that requested the analysis.<\/jats:p>","DOI":"10.1145\/2627534.2627564","type":"journal-article","created":{"date-parts":[[2014,5,27]],"date-time":"2014-05-27T12:56:59Z","timestamp":1401195419000},"page":"98-101","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dual direction big data download and analysis"],"prefix":"10.1145","volume":"41","author":[{"given":"Jameela","family":"Al-Jaroodi","sequence":"first","affiliation":[{"name":"Middleware Technologies Lab., Bahrain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nader","family":"Mohamed","sequence":"additional","affiliation":[{"name":"College of Information Technology, UAEU, Al Ain UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdulla","family":"Eid","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana, Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,4,17]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2429376.2429382"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid.2011.32"},{"key":"e_1_2_1_3_1","volume-title":"web link: http:\/\/en.wikipedia.org\/wiki\/Big_data, viewed","author":"Big Data","year":"2013","unstructured":"Big Data , web link: http:\/\/en.wikipedia.org\/wiki\/Big_data, viewed March 6, 2013 . Big Data, web link: http:\/\/en.wikipedia.org\/wiki\/Big_data, viewed March 6, 2013."},{"key":"e_1_2_1_4_1","volume-title":"December","author":"Bryant R. E.","year":"2008","unstructured":"Bryant , R. E. , R. H. Katz and Edward D . Lazowska, \"Big-Data Computing: Creating revolutionary breakthroughs in commerce, science, and society,\" white paper , December 2008 , web link: http:\/\/cra.org\/ccc\/docs\/init\/Big_Data.pdf Bryant, R. E., R. H. Katz and Edward D. Lazowska, \"Big-Data Computing: Creating revolutionary breakthroughs in commerce, science, and society,\" white paper, December 2008, web link: http:\/\/cra.org\/ccc\/docs\/init\/Big_Data.pdf"},{"key":"e_1_2_1_5_1","volume-title":"IEEE High Performance Extreme Computing Conference (HPEC)","author":"Byun C.","year":"2012","unstructured":"Byun , C. , W. Arcand , D. Bestor , B. Bergeron , M. Hubbell , J. Kepner , A. McCabe , P. Michaleas , J. Mullen , D. O'Gwynn , A. Prout , A. Reuther , A. Rosa and C. Yee , \" Driving big data with big compute,\" in proc . IEEE High Performance Extreme Computing Conference (HPEC) , Waltham, MA USA , September 2012 . Byun, C., W. Arcand, D. Bestor, B. Bergeron, M. Hubbell, J. Kepner, A. McCabe, P. Michaleas, J. Mullen, D. O'Gwynn, A. Prout, A. Reuther, A. Rosa and C. Yee, \"Driving big data with big compute,\" in proc. IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA USA, September 2012."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.203"},{"issue":"6025","key":"e_1_2_1_7_1","first-page":"60","volume":"332","author":"Hilbert M.","year":"2011","unstructured":"Hilbert , M. and P. L\u00f3pez , \"The World's Technological Capacity to Store, Communicate, and Compute Information,\" in Science , Vol. 332 , no. 6025 , pp: 60 -- 65 , April 2011 . Hilbert, M. and P. L\u00f3pez, \"The World's Technological Capacity to Store, Communicate, and Compute Information,\" in Science, Vol. 332, no. 6025, pp:60--65, April 2011.","journal-title":"\"The World's Technological Capacity to Store, Communicate, and Compute Information,\" in Science"},{"volume-title":"Web Link: http:\/\/www-01.ibm.com\/software\/data\/bigdata\/enterprise.html, viewed","year":"2013","key":"e_1_2_1_8_1","unstructured":"IBM big data platform , Web Link: http:\/\/www-01.ibm.com\/software\/data\/bigdata\/enterprise.html, viewed March 2013 . IBM big data platform, Web Link: http:\/\/www-01.ibm.com\/software\/data\/bigdata\/enterprise.html, viewed March 2013."},{"key":"e_1_2_1_9_1","volume-title":"Web Link: http:\/\/istcbigdata.org\/#&panel1-2, viewed","author":"Big Data","year":"2013","unstructured":"ISTC for Big Data , Web Link: http:\/\/istcbigdata.org\/#&panel1-2, viewed March 2013 . ISTC for Big Data, Web Link: http:\/\/istcbigdata.org\/#&panel1-2, viewed March 2013."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCC.2011.39"},{"key":"e_1_2_1_11_1","volume-title":"A Dual-Direction Technique for Fast File Downloads with Dynamic Load Balancing in the Cloud,\" to appear in The Journal of Network and Computer Applications","author":"Mohamed M.","year":"2013","unstructured":"Mohamed , M. , J. Al-Jaroodi and A. Eid , \" A Dual-Direction Technique for Fast File Downloads with Dynamic Load Balancing in the Cloud,\" to appear in The Journal of Network and Computer Applications , Elsevier , 2013 . Mohamed, M., J. Al-Jaroodi and A. Eid, \"A Dual-Direction Technique for Fast File Downloads with Dynamic Load Balancing in the Cloud,\" to appear in The Journal of Network and Computer Applications, Elsevier, 2013."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1177\/1094342003173005"},{"key":"e_1_2_1_13_1","volume-title":"Web Link: http:\/\/www.inc.com\/ss\/bestindustries-2012\/jj-mccorvey\/big-data-5-companiescapitalizing-on-this-business-opportunity#0, viewed","author":"Sources","year":"2013","unstructured":"Sources of Big Data , Web Link: http:\/\/www.inc.com\/ss\/bestindustries-2012\/jj-mccorvey\/big-data-5-companiescapitalizing-on-this-business-opportunity#0, viewed March 2013 . Sources of Big Data, Web Link: http:\/\/www.inc.com\/ss\/bestindustries-2012\/jj-mccorvey\/big-data-5-companiescapitalizing-on-this-business-opportunity#0, viewed March 2013."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/88.219861"},{"key":"e_1_2_1_15_1","volume-title":"Grid Computing Environments Workshop, pp: 99--106","author":"Foster I.","year":"2008","unstructured":"Foster , I. , Y. Zhao , I. Raicu and S. Lu , \" Cloud Computing and Grid Computing 360-degree compared,\" in proc . Grid Computing Environments Workshop, pp: 99--106 , 2008 . Foster, I., Y. Zhao, I. Raicu and S. Lu, \"Cloud Computing and Grid Computing 360-degree compared,\" in proc. Grid Computing Environments Workshop, pp: 99--106, 2008."}],"container-title":["ACM SIGMETRICS Performance Evaluation Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2627534.2627564","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2627534.2627564","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:01:36Z","timestamp":1750230096000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2627534.2627564"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,4,17]]},"references-count":15,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2014,4,17]]}},"alternative-id":["10.1145\/2627534.2627564"],"URL":"https:\/\/doi.org\/10.1145\/2627534.2627564","relation":{},"ISSN":["0163-5999"],"issn-type":[{"type":"print","value":"0163-5999"}],"subject":[],"published":{"date-parts":[[2014,4,17]]},"assertion":[{"value":"2014-04-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}