{"_buckets": {"deposit": "6c5e2677-2af4-4e69-89a5-76bcfe34c25f"}, "_deposit": {"id": "4718", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4718"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4718", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Software Aging Prediction and Availability Analysis", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The \u0027software aging\u0027, is characterized by progressiveperformance degradation due to the exhaustion ofoperating system resources. Software rejuvenationshould be planned and initiated in the face of the actualsystem behavior which requires measurement, analysisand prediction of system resource usage. In this paper,we present availability analysis and prediction forsoftware aging in virtualized environment. The difficultyis that it can be due to two or more resourcessimultaneously involved in the service failure. So, wedecide to evaluate the use of powerful MachineLearning algorithms to predict the time to crash (TTC)of a system which suffers from software agingphenomena. We also present time dependent softwarerejuvenation (TDSR) policy that can be applied withpredictable data in virtualized environment. Thebehavior of the system is represented through aStochastic Petri Net (SPN) model. Numerical analysis ofthe system availability is carried out the SHARPE toolsimulation."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "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": "Nhway, Ohnmar"}]}]}, "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": "2012-01-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/423"}, "item_title": "Software Aging Prediction and Availability Analysis", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004718", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-04"}, "publish_date": "2019-07-04", "publish_status": "0", "recid": "4718", "relation": {}, "relation_version_is_last": true, "title": ["Software Aging Prediction and Availability Analysis"], "weko_shared_id": -1}