Cited 10 time in
Reducing Dynamic Power Consumption in Mixed-Critical Real-Time Systems
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ali, Ijaz | - |
| dc.contributor.author | Jo, Yong-Il | - |
| dc.contributor.author | Lee, Seonah | - |
| dc.contributor.author | Lee, Wan Yeon | - |
| dc.contributor.author | Kim, Kyong Hoon | - |
| dc.date.accessioned | 2022-12-26T12:17:55Z | - |
| dc.date.available | 2022-12-26T12:17:55Z | - |
| dc.date.issued | 2020-10 | - |
| dc.identifier.issn | 2076-3417 | - |
| dc.identifier.issn | 2076-3417 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/6105 | - |
| dc.description.abstract | In this paper, we study energy minimization consumption of a mixed criticality real-time system on uni-core. Our focus is on a new scheduling scheme to decrease the frequency level in order to conserve power. Since many systems are equipped with dynamic power and frequency level memory, power can be saved by decreasing the system frequency. In this paper, we provide new dynamic energy minimization consumption in mixed-criticality real-time systems. Recent research has been done on low-criticality mode for power reduction. Thus, the proposed scheme can reduce the energy both in high-criticality and low-criticality modes. The effectiveness of our proposed scheme in energy reduction is clearly shown through simulations results. | - |
| dc.format.extent | 19 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | Reducing Dynamic Power Consumption in Mixed-Critical Real-Time Systems | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/app10207256 | - |
| dc.identifier.scopusid | 2-s2.0-85092764294 | - |
| dc.identifier.wosid | 000585243600001 | - |
| dc.identifier.bibliographicCitation | APPLIED SCIENCES-BASEL, v.10, no.20, pp 1 - 19 | - |
| dc.citation.title | APPLIED SCIENCES-BASEL | - |
| dc.citation.volume | 10 | - |
| dc.citation.number | 20 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 19 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordPlus | ALGORITHM | - |
| dc.subject.keywordAuthor | mixed-criticality | - |
| dc.subject.keywordAuthor | power-aware | - |
| dc.subject.keywordAuthor | real-time scheduling | - |
| dc.subject.keywordAuthor | DVFS | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
