{"created":"2020-09-01T14:42:26.648311+00:00","id":4405,"links":{},"metadata":{"_buckets":{"deposit":"bd5090ed-d579-404e-9b00-11aba64f8d17"},"_deposit":{"id":"4405","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4405"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4405","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Merging Small Files Based on Agglomerative Hierarchical Clustering on HDFS for Cloud Storage","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Hadoop distributed file system (HDFS) wasoriginally designed for large files. HDFS stores eachsmall file as one separate block although the size ofseveral small files is lesser than the size of block size.Therefore, a large number of blocks are created withmassive small files. When the large number of smallfiles is accessed, NameNode often becomes thebottleneck. The problem of storing and accessinglarge number of small files is named as small fileproblem. In order to solve this issue in HDFS, anapproach of merging small files on HDFS isproposed. In this paper, small files are merged into alarger file based on the agglomerative hierarchicalclustering mechanism to reduce NameNode memoryconsumption. This approach will provide small filesfor cloud storage."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-03"}],"displaytype":"preview","filename":"34-39.pdf","filesize":[{"value":"238 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4405/files/34-39.pdf"},"version_id":"c231abd3-d078-4192-aac6-28417e9dbaba"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Sixteenth International Conferences on Computer Applications(ICCA 2018)","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Wai, Khin Su Su"},{"subitem_authors_fullname":"Myint, Julia"},{"subitem_authors_fullname":"Yee, Tin Tin"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2018-02-22"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/234"},"item_title":"Merging Small Files Based on Agglomerative Hierarchical Clustering on HDFS for Cloud Storage","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-03","publish_status":"0","recid":"4405","relation_version_is_last":true,"title":["Merging Small Files Based on Agglomerative Hierarchical Clustering on HDFS for Cloud Storage"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T01:53:00.598686+00:00"}