{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T07:38:39Z","timestamp":1782373119937,"version":"3.54.5"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Commun."],"published-print":{"date-parts":[[2019,8,1]]},"DOI":"10.1587\/transcom.2018ebp3243","type":"journal-article","created":{"date-parts":[[2019,2,3]],"date-time":"2019-02-03T22:27:39Z","timestamp":1549232859000},"page":"1617-1625","source":"Crossref","is-referenced-by-count":1,"title":["Delay Distribution Based Remote Data Fetch Scheme for Hadoop Clusters in Public Cloud"],"prefix":"10.23919","volume":"E102.B","author":[{"given":"Ravindra Sandaruwan","family":"RANAWEERA","sequence":"first","affiliation":[{"name":"Graduate School of Informatics and Engineering, The University of Electro-Communications"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eiji","family":"OKI","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Kyoto University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nattapong","family":"KITSUWAN","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics and Engineering, The University of Electro-Communications"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] R.S. Ranaweera, E. Oji, and N. Kitsuwan, \u201cNon-local data fetch scheme based on delay distribution for Hadoop clusters in public cloud,\u201d 4th IEEE International Conference on High Performance and Smart Computing (IEEE HPSC 2018), May 2018. 10.1109\/bds\/hpsc\/ids18.2018.00049","DOI":"10.1109\/BDS\/HPSC\/IDS18.2018.00049"},{"key":"2","unstructured":"[2] \u201cApache Hadoop,\u201d http:\/\/hadoop.apache.org\/, accessed July 2017."},{"key":"3","unstructured":"[3] J. Dean and S. Ghemawat, \u201cMapReduce: Simplified data processing on large clusters,\u201d USENIX Symposium on Operating Systems Design and Implementation, pp.137-150, San Francisco, CA, Dec. 2004."},{"key":"4","unstructured":"[4] \u201cPowered by Apache Hadoop,\u201d https:\/\/wiki.apache.org\/hadoop\/PoweredBy, accessed July 2017."},{"key":"5","unstructured":"[5] \u201cCompleting the Netflix Cloud Migration,\u201d https:\/\/media.netflix.com\/en\/company-blog\/completing-the-netflix-cloud-migration, accessed July 2018."},{"key":"6","unstructured":"[6] \u201cA new collaboration with Google Cloud,\u201d https:\/\/blog.twitter.com\/engineering\/en_us\/topics\/infrastructure\/2018\/a-new-collaboration-with-google-cloud.html, accessed July 2018."},{"key":"7","unstructured":"[7] \u201cHadoop Expansion Boosts Cloud and Unsupported On-Premises Deployments,\u201d https:\/\/www.gartner.com\/doc\/3124018\/hadoop-expansion-boosts-cloud-unsupported, accessed July 2017."},{"key":"8","unstructured":"[8] \u201cThe digital universe in 2020,\u201d http:\/\/idcdocserv.com\/1414, accessed July 2017."},{"key":"9","unstructured":"[9] \u201cAmazon EMR,\u201d https:\/\/aws.amazon.com\/emr\/, accessed July 2017."},{"key":"10","unstructured":"[10] \u201cHDInsight,\u201d https:\/\/azure.microsoft.com\/en-us\/services\/hdinsight\/, accessed July 2017."},{"key":"11","unstructured":"[11] \u201cCLOUD DATAPROC,\u201d https:\/\/cloud.google.com\/dataproc, accessed March 2018."},{"key":"12","unstructured":"[12] \u201cIBM BigInsights on Cloud,\u201d https:\/\/www.ibm.com\/analytics\/hadoop, accessed July 2017."},{"key":"13","unstructured":"[13] \u201cHortonworks Cloud Solutions,\u201d https:\/\/hortonworks.com\/products\/data-platforms\/cloud\/, accessed Jan. 2018."},{"key":"14","unstructured":"[14] https:\/\/www.cloudera.com\/products\/cloud.html, accessed Jan. 2018."},{"key":"15","unstructured":"[15] \u201cMapR Orbit Cloud Suite,\u201d https:\/\/mapr.com\/products\/orbit-cloud\/, accessed Jan. 2018."},{"key":"16","unstructured":"[16] A. Sheih, S. Kandula, A. Greenberg, C. Kim, B. Saha, \u201cSharing the Data Center Network,\u201d USENIX conference on Networked systems design and implementation, pp.309-322, Boston, USA, 2011."},{"key":"17","unstructured":"[17] \u201cHDFS Architecture,\u201d https:\/\/hadoop.apache.org\/docs\/stable\/hadoop-project-dist\/hadoop-hdfs\/HdfsDesign.html, accessed July 2017."},{"key":"18","unstructured":"[18] T. White, Hadoop: The Definitive Guide, 4th ed., O'reilly, April 2015."},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] S. Ibrahim, H. Jin, L. Lu, B. He, G. Antoniu, and S. Wu, \u201cMaestro: Replica-aware map scheduling for MapReduce,\u201d 12th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.435-442, Canada, 2012. 10.1109\/ccgrid.2012.122","DOI":"10.1109\/CCGrid.2012.122"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] H. Jin, X. Yang, X.H. Sun, and I. Raicu, \u201cADAPT: Availability-aware MapReduce data placement for non-dedicated distributed computing,\u201d IEEE International Conference on Distributed Computing Systems, pp.516-525, Macau, China, 2012. 10.1109\/icdcs.2012.48","DOI":"10.1109\/ICDCS.2012.48"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] W. Dai, I. Ibrahim, and M. Bassiouni, \u201cA new replica placement policy for Hadoop distributed file system,\u201d 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), pp.262-267, New York, USA, 2016. 10.1109\/bigdatasecurity-hpsc-ids.2016.30","DOI":"10.1109\/BigDataSecurity-HPSC-IDS.2016.30"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] M.Y. Eltabakh, Y. Tian, F. Ozcan, R. Gemulla, A. Krettek, and J. McPherson, \u201cCoHadoop: Flexible data placement and its exploitation in Hadoop,\u201d Proc. VLDB Endow., vol.4, no.9, pp.575-585, June 2011. 10.14778\/2002938.2002943","DOI":"10.14778\/2002938.2002943"},{"key":"23","unstructured":"[23] https:\/\/wiki.apache.org\/hadoop\/\/topology_rack_awareness_scripts, accessed July 2017."},{"key":"24","unstructured":"[24] https:\/\/docs.openstack.org\/sahara\/latest\/, accessed Jan. 2018."},{"key":"25","unstructured":"[25] https:\/\/issues.apache.org\/jira\/browse\/HADOOP-8468, accessed Jan. 2018."},{"key":"26","doi-asserted-by":"publisher","unstructured":"[26] C.E. Leiserson, \u201cFat-trees: Universal networks for hardware-efficient supercomputing,\u201d IEEE Trans. Comput., vol.34, no.10, pp.892-901, Oct. 1985. 10.1109\/tc.1985.6312192","DOI":"10.1109\/TC.1985.6312192"},{"key":"27","unstructured":"[27] C.C. Holt, \u201cForecasting seasonals and trends by exponentially weighted moving averages,\u201d (O.N.R. Memorandum no.52). Carnegie Institute of Technology, Pittsburgh USA, 1957."},{"key":"28","unstructured":"[28] R.G. Brown, Statistical Forecasting for Inventory Control, McGraw\/Hill, 1959."},{"key":"29","unstructured":"[29] \u201cForecasting Principles and Practice,\u201d https:\/\/otexts.org\/fpp2\/expsmooth.html, accessed November 2018."},{"key":"30","unstructured":"[30] \u201cCDH Packaging and Tarball information,\u201d https:\/\/www.cloudera.com\/documentation\/enterprise\/release-notes\/topics\/cdh_vd_cdh_package_tarball_511.html#concept_vvq_42n_yk, accessed Sept. 2017."},{"key":"31","unstructured":"[31] \u201cAmazon EC2 Instance Types,\u201d https:\/\/aws.amazon.com\/ec2\/instance-types\/, accessed Jan. 2018."},{"key":"32","unstructured":"[32] \u201cMetrics Guide,\u201d https:\/\/hadoop.apache.org\/docs\/r2.6.5\/hadoop-project-dist\/hadoop-common\/Metrics.html"}],"container-title":["IEICE Transactions on Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E102.B\/8\/E102.B_2018EBP3243\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T15:01:39Z","timestamp":1704898899000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E102.B\/8\/E102.B_2018EBP3243\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,1]]},"references-count":32,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2019]]}},"URL":"https:\/\/doi.org\/10.1587\/transcom.2018ebp3243","relation":{},"ISSN":["0916-8516","1745-1345"],"issn-type":[{"value":"0916-8516","type":"print"},{"value":"1745-1345","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,1]]}}}