{"_buckets": {"deposit": "8268763c-34c5-41b8-b6c8-2bf3fec0b7d9"}, "_deposit": {"id": "3920", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3920"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3920", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Green Aware Datacenter Selection", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Datacenters have been the key systeminfrastructure for cloud computing. The demand fordatacenter computing has increased significantly inrecent years resulting in huge energy consumption.Renewable energy resources, such as wind and solarpower are rapidly becoming generation technologiesof significance in the United States and around theworld. The integration of renewable energy resourcesis usually very challenging because of theirintermittency and inter-temporal variations. The highenergy footprint of datacenters leads to seriousenvironmental issues. Energy expenditure has becomea significant fraction of datacenter operating costs.The proposed system is explicitly modeled theintermittent generation of renewable energy (WindPower Model and Solar Power Model) with respect tovarying weather conditions in the geographicallocation of each datacenter. Renewable energyresources datacenter selection framework is proposedto reduce the environmental impact and the systemtakes into account the benefit from the locationdiversity of different types of available renewableenergy resources and an efficient datacenter selection algorithm is proposed major concern of broader researchcommunity participating both from academia andindustry in the recent years.Large Internet companies (e.g. Google andMicrosoft) have significantly improved the energyefficiency of their multi-megawatt datacenters.However, the majority of the energy consumed bydatacenters is actually due to countless small andmedium-sized datacenters, which are much lessefficient. These facilities range from a few dozenservers housed in a machine room to several hundredsof servers housed in a large enterprise installation.These cost, infrastructure, and environmentalconcerns have prompted some datacenter operator togenerate their own solar/wind energy of draw powerdirectly from a nearby solar/wind farm. Green energysources promise to mitigate the issues surroundingnon-renewable generation, but their output is verysusceptible to environmental changes."}]}, "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": "12062.pdf", "filesize": [{"value": "1240 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1240000.0, "url": {"url": "https://meral.edu.mm/record/3920/files/12062.pdf"}, "version_id": "0ddad47f-6887-4ab9-b1af-928c28ba56f1"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Twelfth International Conference On Computer Applications (ICCA 2014)", "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": "Myint, Khin Swe Swe"}, {"subitem_authors_fullname": "Thein, Thandar"}]}]}, "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": "2014-02-17"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/164"}, "item_title": "Green Aware Datacenter Selection", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003920", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "3920", "relation": {}, "relation_version_is_last": true, "title": ["Green Aware Datacenter Selection"], "weko_shared_id": -1}