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Accepted Papers

We are delighted to announce the following accepted papers for HotStorage 2024.

1. Is Low Similarity Threshold A Bad Idea in Delta Compression?
Hongming Huang (City University of Hong Kong), Chun Jason Xue (Mohamed bin Zayed University of Artificial Intelligence), Nan Guan (City University of Hong Kong), Hong Xu (The Chinese University of Hong Kong)

2. Dictionary Based Cache Line Compression
Daniel Cohen, Sarel Cohen, Dalit Naor (The Academic College of Tel Aviv-Yaffo, Israel), Daniel Waddington (IBM Research), Moshik Hershcovitch (Tel-Aviv University & IBM Research)

3. Shadow Filesystems: Recovering from Filesystem Runtime Errors via Robust Alternative Execution
Jing Liu, Xiangpeng Hao, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau, Tej Chajed (UW-Madison)

4. Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning
Jiyu Hu, Jack Kosaian, K. V. Rashmi (Carnegie Mellon University)

5. Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux
Dongjoo Seo (University of California, Irvine), Yongsoo Joo (Kookmin University), Nikil Dutt (University of California, Irvine)

6. Secure Archival is Hard... Really Hard
Christopher Smith, Maliha Tabassum, Soumya Chowdary Daruru, Gaurav Kulhare, Arvin Wang (Stony Brook University), Ethan L. Miller (Pure Storage / University of California, Santa Cruz), Erez Zadok (Stony Brook University)

7. Can Storage Devices be Power Adaptive?
Dedong Xie, Theano Stavrinos, Kan Zhu, Simon Peter, Baris Kasikci, Thomas E. Anderson (University of Washington)

8. Can ZNS SSDs be Better Storage Devices for Persistent Cache?
Chongzhuo Yang, Zhang Cao, Chang Guo, Ming Zhao, Zhichao Cao (Arizona State University)

9. A Selective Preprocessing Offloading Framework for Reducing Data Traffic in DL Training
Meng Wang, Gus Waldspurger (University of Chicago), Swaminathan Sundararaman (IBM Research)

10. Quantitative Analysis of Storage Requirement for Autonomous Vehicles
Yuxin Wang, Yuankai He (University of Delaware), Ruijun Wang (Ford Motor Company), Weisong Shi (University of Delaware)

11. Life-after-Death: Exploring Thermal Annealing Conditions to Enhance 3D NAND SSD Endurance
Matchima Buddhanoy, Sudeep Pasricha, Biswajit Ray (Colorado State University)

12. ION: Navigating HPC I/O Optimization Journey using Large Language Models
Chris Egersdoerfer, Arnav Sareen (University of North Carolina at Charlotte), Jean Luca Bez (Lawrence Berkeley National Laboratory), Suren Byna (The Ohio State University), Dong Dai (University of North Carolina at Charlotte)

13. Revisiting Erasure Codes: A Configuration Perspective
Runzhou Han, Chao Shi, Tabassum Mahmud (Iowa State University), Zeren Yang (University of Wisconsin-Madison), Vladislav Esaulov, Lipeng Wan (Georgia State University), Yong Chen, Jim Wayda, Matthew Wolf (Samsung), Mai Zheng (Iowa State University)

14. Asymmetric RAID: Rethinking RAID for SSD Heterogeneity
Ziyang Jiao, Bryan S. Kim (Syracuse University)

15. Breaking Barriers: Expanding GPU Memory with Sub-Two Digit Nanosecond Latency CXL Controller
Donghyun Gouk (Panmnesia), Seungkwan Kang, Hanyeoreum Bae (KAIST), Eojin Ryu, Sangwon Lee, Dongpyung Kim (Panmnesia), Junhyeok Jang (KAIST), Myoungsoo Jung (Panmnesia and KAIST)

16. Can Modern LLMs Tune and Configure LSM-based Key-Value Stores?
SK Hynix Best Paper Award Winner!
Viraj Thakkar, Madhumitha Sukumar, Jiaxin Dai, Kaushiki Singh, Zhichao Cao (Arizona State University)

17. Advocating for Key-Value Stores with Workload Pattern Aware Dynamic Compaction
Heejin Yoon, Jin Yang, Juyoung Bang (UNIST), Sam H. Noh (Virginia Tech), Young-ri Choi (UNIST)

18. Context-aware Prefetching for Near-Storage Accelerators
Jian Zhang (Rutgers University), Marie Nguyen (Samsung), Sanidhya Kashyap (EPFL), Sudarsun Kannan (Rutgers University)