{"_buckets": {"deposit": "07663ccd-0c99-4c57-8726-db71cfe0db4a"}, "_deposit": {"id": "3533", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3533"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3533", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "The Efficient Multi-Tired Storage System on Private Cloud", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The widespread popularity of Cloudcomputing as a preferred platform for thedeployment of web applications has resulted in anenormous number of applications moving to thecloud, and the huge success of cloud serviceproviders. The distributed file system plays a veryimportant role in cloud computing environments aswell as it is necessary to store and manage data onlow cost storage servers in which storage spacecan be reduced. Today’s businesses are challengedwith managing and protecting the ever-increasingamounts of data that is created on a daily and evenhourly basis. To counteract this issue, this systemproposes a method of Multi-tired storage system.The advantage of Multi-tired storage system cancontrol and manage service levels to get betterstorage costs in different types of applicationenvironment."}]}, "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": "2019-07-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "psc2010paper (73).pdf", "filesize": [{"value": "28 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 28000.0, "url": {"url": "https://meral.edu.mm/record/3533/files/psc2010paper (73).pdf"}, "version_id": "03eb4873-8148-429a-85ae-8372e9009d50"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifth Local Conference on Parallel and Soft Computing", "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": "Khaing, Cho Cho"}, {"subitem_authors_fullname": "Naing, Thinn"}]}]}, "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": "2010-12-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1274"}, "item_title": "The Efficient Multi-Tired Storage System on Private Cloud", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003533", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-25"}, "publish_date": "2019-07-25", "publish_status": "0", "recid": "3533", "relation": {}, "relation_version_is_last": true, "title": ["The Efficient Multi-Tired Storage System on Private Cloud"], "weko_shared_id": -1}