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목록분류 전체보기 (58)
Happy to visit my research note ^^
Xiaobin He1 , Bin Yang2 1∗ , Jie Gao1 , Wei Xiao1 , Qi Chen2 , Shupeng Shi1 , Dexun Chen1 , Weiguo Liu4 , Wei Xue2 3 1, Zuo-ning Chen5† 1National Supercomputing Center in Wuxi, 2Tsinghua University, Dept. of C.S, 3Tsinghua University, BNRist.,4Shandong University, 5Chinese Academy of Engineering February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Sto..
Joontaek Oh, Seung Won Yoo, and Hojin Nam, KAIST; Changwoo Min, Virginia Tech; Youjip Won, KAIST February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract 본 논문에서는 Concurrent Journaling Filesystem(CJFS)을 제안한다. CJFS는 EXT4를 확장하며, EXT4 journaling design의 근본적인 한계를 해결한다. 이러한 한계가 EXT4의 scalability를 떨어뜨리는 주요 원인이 된다. Heavy-weight EXT4 ..
Lei Liu1∗ , Xinglei Dou2 , Yuetao Chen2 1Beihang University; 2 ICT, CAS; Sys-Inventor Lab February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Latency-critical services는 cloud environments에서 널리 배포되어 있다. cost-efficiency를 위해, multiple services는 일반적으로 server에 co-located한다. 따라서, runtime resource scheduling은 이러한 complicated co..
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..
Juncheng Yang, Carnegie Mellon University; Ziming Mao, Yale University; Yao Yue, Pelikan Foundation; K. V. Rashmi, Carnegie Mellon University February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Web applications는 low-latency, high-throughput services를 위해 software cache에 매우 의존한다. 변화하는 workloads에 대응하기 위해, 최근 몇 년간 learned ca..
Jiacheng Shen1 ∗ , Pengfei Zuo2 , Xuchuan Luo3 , Tianyi Yang1 , Yuxin Su4 , Yangfan Zhou3 , and Michael R. Lyu1 1The Chinese University of Hong Kong, 2Huawei Cloud, 3Fudan University, 4Sun Yat-sen University February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Distributed in-memory key-value (KV) stores는 더 높은 resource uti..
Jinghuan Yu, City University of Hong Kong; Sam H. Noh, UNIST & Virginia Tech; Young-ri Choi, UNIST; Chun Jason Xue, City University of Hong Kong February 21–23, 2023 • Santa Clara, CA, USA USENIX Association 21st USENIX Conference on File and Storage Technologies Abstract Log-Structure Merge-tree (LSM) based Key-Value (KV) system은 널리 사용되고 있다. 그러나 LSM-KV system에서는 write operation에 대한 압력이 커지면 perf..
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..