![]() ![]() Shiqin Yan, Huaicheng Li, Mingzhe Hao, and Hao Tong, University of Chicago Swaminathan Sundararaman, Paralllel Machines Andrew A. ![]() Tiny-Tail Flash: Near-Perfect Elimination of Garbage Collection Tail Latencies in NAND SSDs The Logic of Physical Garbage Collection in Deduplicating Storageįred Douglis, Abhinav Duggal, Philip Shilane, and Tony Wong, Dell EMC Shiqin Yan, University of Chicago Fabiano Botelho, Rubrik, Inc. Weiping He and David Du, University of Minnesota (Refereed Paper Poster) SMaRT: An Approach to Shingled Magnetic Recording Translation Zhen Cao, Stony Brook University Vasily Tarasov and Dean Hildebrand, IBM Research-Almaden Erez Zadok, Stony Brook University (Refereed Paper Poster) On the Performance Variation in Modern Storage Stacks ![]() David Du, University of Minnesota (Refereed Paper Poster) On the Accuracy and Scalability of Intensive I/O Workload ReplayĪlireza Haghdoost and Weiping He, University of Minnesota Jerry Fredin, NetApp Inc. Matias Bjørling and Javier Gonzalez, CNEX Labs Philippe Bonnet, IT University of Copenhagen (Refereed Paper Poster) LightNVM: The Linux Open-Channel SSD Subsystem Chen, and Jason Flinn, University of Michigan (Refereed Paper Poster) Salman Niazi, Mahmoud Ismail, Jim Dowling, and Seif Haridi, Royal Institute of Technology Steffen Grohsschmiedt, Spotify AB Mikael Ronström, Oracle (Refereed Paper Poster) HopsFS: Scaling Hierarchical File System Metadata Using NewSQL Databases Qureshi, Georgia Institute of Technology (Refereed Paper Poster) Jian Huang, Georgia Institute of Technology Anirudh Badam, Microsoft Research Laura Caulfield, Microsoft Suman Nath and Sudipta Sengupta, Microsoft Research Bikash Sharma, Microsoft Moinuddin K. Porter, The University of North Carolina at Chapel Hill Jun Yuan, Farmingdale State College of SUNY Martin Farach-Colton, Rutgers University (Refereed Paper Poster)įlashBlox: Achieving Both Performance Isolation and Uniform Lifetime for Virtualized SSDs Kuzmaul, Oracle Corporation and Massachusetts Institute of Technology Donald E. Bender, William Jannen, and Rob Johnson, Stony Brook University Bradley C. Yin Li and Hao Wang, Rensselaer Polytechnic Institute Xuebin Zhang, EMC Ning Zheng, Rensselaer Polytechnic Institute Shafa Dahandeh, Western Digital Tong Zhang, Rensselaer Polytechnic Institute (Refereed Paper Poster)įile Systems Fated for Senescence? Nonsense, Says Science!Īlexander Conway and Ainesh Bakshi, Rutgers University Yizheng Jiao and Yang Zhan, The University of North Carolina at Chapel Hill Michael A. ![]() Sangwook Kim, Sungkyunkwan University Hwanju Kim, EMC Joonwon Lee and Jinkyu Jeong, Sungkyunkwan University (Refereed Paper Poster)Ībutalib Aghayev, Carnegie Mellon University Theodore Ts’o, Google Garth Gibson, Carnegie Mellon University Peter Desnoyers, Northeastern University (Refereed Paper Poster)įacilitating Magnetic Recording Technology Scaling for Data Center Hard Disk Drives through Filesystem-Level Transparent Local Erasure Coding Zhaoyan Shen, Hong Kong Polytechnic University Feng Chen and Yichen Jia, Louisiana State University Zili Shao, Hong Kong Polytechnic University (Refereed Paper Poster)Įnlightening the I/O Path: A Holistic Approach for Application Performance Yuvraj Patel, University of Wisconsin-Madison (Refereed Paper Poster)ĭIDACache: A Deep Integration of Device and Application for Flash-Based Key-Value Caching Ram Kesavan, Rohit Singh, and Travis Grusecki, NetApp, Inc. The following posters will be presented during the reception on Tuesday, February 28, 6:00 pm–8:00 pm, in the Santa Clara Ballroom.Īlgorithms and Data Structures for Efficient Free Space Reclamation in WAFL Then this to create the config file and "activate" it.Poster Session and Reception I | Poster Session and Reception II Poster Session and Reception I It can be used to also theme your Spotify and add multiple features, you can find all the info in the GitHub about it. Perez! In case you use this and appreciate the guys work he has a Buy Me A Coffee link.Īlso, for anyone who's a bit worried about logging in through this app, you can find the source code on GitHub.Īnd for anyone who deeply hates the shuffle algorithm, there is a solution for that as well. I used it and it doesn't even trigger the issues in which if you remove one of the duplicates it removes the other as well. Once the analysis is over (shouldn't take long) you will have lists with all the duplicates from all the playlists and you can simply press "Remove Duplicates" The script checks your playlists and saved songs It's called Spotify Deduplicator and it's pretty straight forward and totally free: I was just about to start sorting my 3k+ liked songs by name and trying to remove each duplicate one by one, but after some digging on the internet I found this really cool project. ![]()
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