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Performance Evaluation of In-storage Processing Architectures for Diverse Applications and Benchmarks
Performance Evaluation of In-storage Processing Architectures for Diverse Applications and Benchmarks
상세정보
- 자료유형
- 학위논문
- Control Number
- 0014999511
- International Standard Book Number
- 9780438351363
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Minglani, Manas.
- Publication, Distribution, etc. (Imprint
- [Sl] : University of Minnesota, 2018
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2018
- Physical Description
- 115 p
- General Note
- Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
- General Note
- Adviser: David J. Lilja.
- Dissertation Note
- Thesis (Ph.D.)--University of Minnesota, 2018.
- Summary, Etc.
- 요약As we inch towards the future, the storage needs of the world are going to be massive and diversied. To tackle the needs of the next generation, the storage systems are required to be studied and require innovative solutions. These solutions nee
- Summary, Etc.
- 요약To keep the energy signature under control we devised a new architecture called Storage Processing Unit (SPU). For the modeling of this architecture we incorporate a processing element inside the storage medium to limit the data movement between
- Summary, Etc.
- 요약Moreover, to understand the diverse nature of the applications and newer technologies, we tried the concept of in-storage processing for unstructured data. This type of data is demonstrating huge amount of growth and would continue to do so. Sea
- Summary, Etc.
- 요약Finally, large number of these devices are needed for huge amounts of data. To demonstrate that Kinetic Drives reduce the management complexity for large-scale deployment, we conducted a study. We allocated large amounts of data on Kinetic Drive
- Summary, Etc.
- 요약In conclusion, in-storage processing architectures bring an interesting aspect where processing is moved closer to the data. This leads to a paradigm shift which often results in a major software and hardware architectural changes. Furthermore,
- Subject Added Entry-Topical Term
- Computer science
- Subject Added Entry-Topical Term
- Computer engineering
- Added Entry-Corporate Name
- University of Minnesota Electrical/Computer Engineering
- Host Item Entry
- Dissertation Abstracts International. 80-01B(E).
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:554213
MARC
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■1001 ▼aMinglani, Manas.
■24510▼aPerformance Evaluation of In-storage Processing Architectures for Diverse Applications and Benchmarks
■260 ▼a[Sl]▼bUniversity of Minnesota▼c2018
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2018
■300 ▼a115 p
■500 ▼aSource: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
■500 ▼aAdviser: David J. Lilja.
■5021 ▼aThesis (Ph.D.)--University of Minnesota, 2018.
■520 ▼aAs we inch towards the future, the storage needs of the world are going to be massive and diversied. To tackle the needs of the next generation, the storage systems are required to be studied and require innovative solutions. These solutions nee
■520 ▼aTo keep the energy signature under control we devised a new architecture called Storage Processing Unit (SPU). For the modeling of this architecture we incorporate a processing element inside the storage medium to limit the data movement between
■520 ▼aMoreover, to understand the diverse nature of the applications and newer technologies, we tried the concept of in-storage processing for unstructured data. This type of data is demonstrating huge amount of growth and would continue to do so. Sea
■520 ▼aFinally, large number of these devices are needed for huge amounts of data. To demonstrate that Kinetic Drives reduce the management complexity for large-scale deployment, we conducted a study. We allocated large amounts of data on Kinetic Drive
■520 ▼aIn conclusion, in-storage processing architectures bring an interesting aspect where processing is moved closer to the data. This leads to a paradigm shift which often results in a major software and hardware architectural changes. Furthermore,
■590 ▼aSchool code: 0130.
■650 4▼aComputer science
■650 4▼aComputer engineering
■690 ▼a0984
■690 ▼a0464
■71020▼aUniversity of Minnesota▼bElectrical/Computer Engineering.
■7730 ▼tDissertation Abstracts International▼g80-01B(E).
■773 ▼tDissertation Abstract International
■790 ▼a0130
■791 ▼aPh.D.
■792 ▼a2018
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T14999511▼nKERIS
■980 ▼a201812▼f2019
