{"created":"2025-01-19T00:50:40.051939+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00183116","sets":["6164:6165:6561:9228"]},"path":["9228"],"owner":"11","recid":"183116","title":["Energy-Efficient Allocation of Periodic Real-Time Tasks for Heterogeneous System by Execution-Variance"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-08-17"},"_buckets":{"deposit":"c692cdb1-bf27-4c4c-af7f-40b3b2d8c432"},"_deposit":{"id":"183116","pid":{"type":"depid","value":"183116","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Energy-Efficient Allocation of Periodic Real-Time Tasks for Heterogeneous System by Execution-Variance","author_link":["400814","400818","400819","400815","400811","400812","400813","400816","400817","400820"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Energy-Efficient Allocation of Periodic Real-Time Tasks for Heterogeneous System by Execution-Variance"},{"subitem_title":"Energy-Efficient Allocation of Periodic Real-Time Tasks for Heterogeneous System by Execution-Variance","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"モデルベース，電力（Work-in-Progress論文）","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2017-08-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science, Nagoya University"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University"},{"subitem_text_value":"Graduate School of Information Science, Nagoya University"},{"subitem_text_value":"Graduate School of Information Science, Nagoya University"},{"subitem_text_value":"Graduate School of Information Science, Nagoya University"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science, Nagoya University","subitem_text_language":"en"}]},"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/183116/files/IPSJ-ESS2017011.pdf","label":"IPSJ-ESS2017011.pdf"},"date":[{"dateType":"Available","dateValue":"2019-08-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ESS2017011.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"330","billingrole":"42"},{"tax":["include_tax"],"price":"330","billingrole":"44"}],"accessrole":"open_date","version_id":"62c329a3-8051-4ab3-a87d-3d1304563790","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yang, Qin"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Gang, Zeng"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryo, Kurachi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yutaka, Matsubara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroaki, Takada"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yang, Qin","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Gang, Zeng","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryo, Kurachi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yutaka, Matsubara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroaki, Takada","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"The research of energy-efficient heterogeneous multiprocessor scheduling is becoming more and more popular today. The problem can be addressed as allocating tasks to the right core and set the appropriate operating frequency. In this paper, we present a task allocation algorithm for a single-ISA heterogeneous system consisted of two different types of cores: high-performance core and energy-efficient core. Based on the execution-variance of two types of cores, a heuristic that approximate the optimal load distribution is proposed. We experimentally simulate our method and compare it to state-of-the-art solutions, resulting average in about 20% less energy consumption (and up to 48% for some cases) with guaranteeing the deadline of all tasks.","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The research of energy-efficient heterogeneous multiprocessor scheduling is becoming more and more popular today. The problem can be addressed as allocating tasks to the right core and set the appropriate operating frequency. In this paper, we present a task allocation algorithm for a single-ISA heterogeneous system consisted of two different types of cores: high-performance core and energy-efficient core. Based on the execution-variance of two types of cores, a heuristic that approximate the optimal load distribution is proposed. We experimentally simulate our method and compare it to state-of-the-art solutions, resulting average in about 20% less energy consumption (and up to 48% for some cases) with guaranteeing the deadline of all tasks.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"46","bibliographic_titles":[{"bibliographic_title":"組込みシステムシンポジウム2017論文集"}],"bibliographicPageStart":"43","bibliographicIssueDates":{"bibliographicIssueDate":"2017-08-17","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2017"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":183116,"updated":"2025-01-20T03:47:51.334163+00:00","links":{}}