{"_buckets": {"deposit": "2ebcb4c8-e1ce-4f0b-92b0-00592335975f"}, "_deposit": {"id": "4618", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4618"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4618", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Improving Hadoop MapReduce Performance Using Speculative Execution Strategy in a Heterogeneous Environment", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "MapReduce is currently a parallel computingframework for distributed processing of large-scaledata intensive application. The most importantperformance metric is job execution time but it canbe seriously impacted by straggler machines.Speculative execution is a common approach for thisproblem by backing up slow tasks on alternativemachines. Some schedulers with speculativeexecution have been proposed but they have someweaknesses:(i) they cannot calculate the progressrate accurately because the progress scores of thephases are set to constant values which may betotally different for heterogeneous environment, (ii)they define the stragglers by specifying a staticthreshold value which calculates the temporaldifference between an individual task and theaverage task progression. To get the betterperformance, this paper proposes an algorithmidentifying the stragglers by the more accurateprogress of each job based on its own historicalinformation and using a dynamic threshold valueadjusting the continuously varying environmentautomatically."}]}, "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": "77-82.pdf", "filesize": [{"value": "237 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 237000.0, "url": {"url": "https://meral.edu.mm/record/4618/files/77-82.pdf"}, "version_id": "1942bbb7-b5e1-4291-bd5d-dbff3bc282fd"}]}, "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": "Oo, Zar Zar"}, {"subitem_authors_fullname": "Phyu, Sabai"}]}]}, "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/123456789/257"}, "item_title": "Improving Hadoop MapReduce Performance Using Speculative Execution Strategy in a Heterogeneous Environment", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004618", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4618", "relation": {}, "relation_version_is_last": true, "title": ["Improving Hadoop MapReduce Performance Using Speculative Execution Strategy in a Heterogeneous Environment"], "weko_shared_id": -1}