{"_buckets": {"deposit": "b645f14f-2edd-4759-a97d-b2f407fd3e6f"}, "_deposit": {"id": "4525", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4525"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4525", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Best Resource Node Selection in Grid Environment", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Grid computing can provide abundantresources to assist many studies and it can beemployed in more and more projects that have sofar yielded numerous findings. However, in gridenvironment, many distributed resources areintegrated in different sites and resources areoften shared by multiple user communities andcan vary greatly in performance and loadcharacteristics. Therefore, a central problem ingrid environment is the selection of computationnodes for execution. Automatic selection of nodeis complex as the best choice depends on the userrequest structure as well as the expectedavailability of computation and communicationresources. This paper considers the ongoingresearch on Rough Sets based selecting the bestresource node in computational grid. Our nodeselection method is based on the CPU capacity,communication bandwidth and memory and diskavailability on the resource nodes. The goal ofthis paper is to enable the automatically selectthe best available resource node on the networkfor execution within a reasonable time. In thispaper, random data is used to test the validity ofproposed method. The result showed that thismethod can provide the suitable probability ofthe best resource selection."}]}, "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", "download_preview_message": "", "file_order": 0, "filename": "9085.pdf", "filesize": [{"value": "74 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 74000.0, "url": {"url": "https://meral.edu.mm/record/4525/files/9085.pdf"}, "version_id": "babbef6f-f2b0-47be-9d66-d377faf43363"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Ninth International Conference On Computer Applications (ICCA 2011)", "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": "Phyo, Zar Lwin"}]}]}, "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": "2011-05-05"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/245"}, "item_title": "Best Resource Node Selection in Grid Environment", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004525", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4525", "relation": {}, "relation_version_is_last": true, "title": ["Best Resource Node Selection in Grid Environment"], "weko_shared_id": -1}