자료유형 | 학위논문 |
---|---|
서명/저자사항 | Performance Evaluation of In-storage Processing Architectures for Diverse Applications and Benchmarks. |
개인저자 | Minglani, Manas. |
단체저자명 | University of Minnesota. Electrical/Computer Engineering. |
발행사항 | [S.l.]: University of Minnesota., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 115 p. |
기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
ISBN | 9780438351363 |
학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: David J. Lilja. |
요약 | As 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 |
요약 | To 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 |
요약 | Moreover, 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 |
요약 | Finally, 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 |
요약 | In 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, |
일반주제명 | Computer science. Computer engineering. |
언어 | 영어 |
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