{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00145130","sets":["1164:2735:7896:8334"]},"path":["8334"],"owner":"11","recid":"145130","title":["Method of Minimizing Costs in Consideration of System Backup Intervals and Expected Costs for Information Infrastructure of University"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-09-22"},"_buckets":{"deposit":"cc8a7b98-c977-4c50-9984-e48d8490f9e4"},"_deposit":{"id":"145130","pid":{"type":"depid","value":"145130","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Method of Minimizing Costs in Consideration of System Backup Intervals and Expected Costs for Information Infrastructure of University","author_link":["222314","222316","222311","222308","222317","222312","222309","222313","222310","222315"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Method of Minimizing Costs in Consideration of System Backup Intervals and Expected Costs for Information Infrastructure of University"},{"subitem_title":"Method of Minimizing Costs in Consideration of System Backup Intervals and Expected Costs for Information Infrastructure of University","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2015-09-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Shizuoka Institute of Science and Tecnology"},{"subitem_text_value":"Shizuoka Professional Training College of Industrial Tecnology"},{"subitem_text_value":"Shizuoka University"},{"subitem_text_value":"Shizuoka University"},{"subitem_text_value":"Shizuoka University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Shizuoka Institute of Science and Tecnology","subitem_text_language":"en"},{"subitem_text_value":"Shizuoka Professional Training College of Industrial Tecnology","subitem_text_language":"en"},{"subitem_text_value":"Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Shizuoka University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/145130/files/IPSJ-MPS15105012.pdf","label":"IPSJ-MPS15105012.pdf"},"date":[{"dateType":"Available","dateValue":"2017-09-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS15105012.pdf","filesize":[{"value":"1.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"bace80d7-fe30-4b56-b01f-8eba97443003","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shinya, Mizuno"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Miki, Shinohara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Haruki, Inoue"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takahiro, Hasegawa"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naokazu, Yamaki"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shinya, Mizuno","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Miki, Shinohara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Haruki, Inoue","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takahiro, Hasegawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naokazu, Yamaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In addition to the evolution of today's digital society, which includes the spread of the Internet and the invasion of smart devices, we are now clearly in the age of big data and are, therefore, seeing an explosion in the volume of unstructured data. Corporate data is growing by approximately 60% per year, and is expected to grow further in the future. Viewed from another angle, the huge size of this data means that massive damage will occur if the data is lost. If data loss occurs due to human error, computer viruses, machine failure, natural disasters, or terrorism, significant losses will occur, either due to payment of compensation or lost opportunities due to the need to suspend operations. In order to prevent this, an appropriate backup system is required. This does not mean just saving data, but maintenance and replacement of servers and network devices is also necessary. However, whereas reliability will certainly be increased if these devices are regularly replaced, costs will also skyrocket. It is necessary to use not only experience, but appropriate indicators when maintaining information devices. At this time, systems should be designed by estimating a backup interval that will minimize expected costs based on the relationship between system loss probability, system loss costs, and system backup costs. In this study, we will model the relationship between system loss, system loss costs, and backup costs, and derive a recommended value for the backup interval as an optimized solution. Furthermore, we will add the probability distribution for system loss and verify this from multiple angles including system configuration. Current information devices rarely operate alone, and are often in multi-device configurations such as RAID. In this study, we will also model cases involving multi-device configurations. Finally, we propose the management of backup for information infrastructure of University.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In addition to the evolution of today's digital society, which includes the spread of the Internet and the invasion of smart devices, we are now clearly in the age of big data and are, therefore, seeing an explosion in the volume of unstructured data. Corporate data is growing by approximately 60% per year, and is expected to grow further in the future. Viewed from another angle, the huge size of this data means that massive damage will occur if the data is lost. If data loss occurs due to human error, computer viruses, machine failure, natural disasters, or terrorism, significant losses will occur, either due to payment of compensation or lost opportunities due to the need to suspend operations. In order to prevent this, an appropriate backup system is required. This does not mean just saving data, but maintenance and replacement of servers and network devices is also necessary. However, whereas reliability will certainly be increased if these devices are regularly replaced, costs will also skyrocket. It is necessary to use not only experience, but appropriate indicators when maintaining information devices. At this time, systems should be designed by estimating a backup interval that will minimize expected costs based on the relationship between system loss probability, system loss costs, and system backup costs. In this study, we will model the relationship between system loss, system loss costs, and backup costs, and derive a recommended value for the backup interval as an optimized solution. Furthermore, we will add the probability distribution for system loss and verify this from multiple angles including system configuration. Current information devices rarely operate alone, and are often in multi-device configurations such as RAID. In this study, we will also model cases involving multi-device configurations. Finally, we propose the management of backup for information infrastructure of University.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2015-09-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"2015-MPS-105"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":145130,"updated":"2025-01-20T18:28:35.010503+00:00","links":{},"created":"2025-01-19T00:20:48.432311+00:00"}