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목록storage system (8)
Happy to visit my research note ^^

Chap 1 Our need for timely data analysis in increasing 1. Microsecond/millisecond analysis 2. Gigabytes, terabytes, petabytes per query 3. Scalability, distributed systems 4. Energy and efficiency needs at the end of the day, how fast can you read and write your data from storage device ㅡ> this is what we will be studing if far from the CPU, latency and throughput get worse but capacity will be ..
Jian Ouyang Shiding Lin Baidu, Inc. Song Jiang ∗ Peking University and Wayne State University Zhenyu Hou Yong Wang Yuanzheng Wang Baidu, Inc ASPLOS '14: Proceedings of the 19th international conference on Architectural support for programming languages and operating systems February 2014 Pages 471–484 https://doi.org/10.1145/2541940.2541959 Abstract 지난 몇 년간, 중국 최대 internet search company인 Baidu의..
Redwan Ibne Seraj Khan and Ahmad Hossein Yazdani, Virginia Tech; Yuqi Fu, University of Virginia; Arnab K. Paul, BITS Pilani; Bo Ji and Xun Jian, Virginia Tech; Yue Cheng, University of Virginia; Ali R. Butt, Virginia Tech February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Deep learning training (DLT) applications는 stor..
Ruiming Lu1*, Erci Xu3,1*, Yiming Zhang2†, Fengyi Zhu3 , Zhaosheng Zhu3 , Mengtian Wang3 , Zongpeng Zhu3 , Guangtao Xue1†, Jiwu Shu2 , Minglu Li1,4 , and Jiesheng Wu3 1Shanghai Jiao Tong University, 2Xiamen University, 3Alibaba Inc., and 4Zhejiang Normal University February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract 본 논문..
Iwona Kotlarska, Andrzej Jackowski, Krzysztof Lichota, Michal Welnicki, and Cezary Dubnicki, 9LivesData, LLC; Konrad Iwanicki, University of Warsaw February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Cloud tiering은 최근 backup solution에서 중요해진 on-premise storage에서 선택한 data를 cloud로 이동시키는 과정을 말한다. 한번 backup이 일어나고 그다음에 일어나는 ba..
Xiaolu Li† , Keyun Cheng‡ , Kaicheng Tang‡ , Patrick P. C. Lee‡ , Yuchong Hu† , Dan Feng† , Jie Li∗ , and Ting-Yi Wu∗ †Huazhong University of Science and Technology ‡The Chinese University of Hong Kong ∗Huawei Technologies Co., Ltd., Hong Kong February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Minimum-storage regenerati..
Saurabh Kadekodi∗ , Shashwat Silas∗ , David Clausen, Arif Merchant Google February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Large-scale storage clusters의 대부분 data는 # erasure coding이 사용된다. # Exascale에서는 # low storage overhead, efficient reconstruction, and easy deployment를 위해 erasure code를 최적화하는 것이 중요하다. (+참고 1) Locally..

1. Definition Cache Block The basic unit for cache storage. May contain multiple bytes/words of data. Cache Line Same as cache block. Note that this is not the same thing as a "row" of cache Cache Set A "row" in the cache. The number of blocks per set is determined by the layout of the cache (e.g., direct mapped, set-associative, or fully associative) Tag A unique identifier for a group of data...