Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29967
Title: NVOverlay: Enabling efficient and scalable high-frequency snapshotting to NVM
Authors: Wang, Ziqi 
Choo, Chul Hwan 
Kozuch, Michael A. 
Mowry, Todd C. 
Pekhimenko, Gennady 
Seshadri, Vivek 
Skarlatos, Dimitrios 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Nonvolatile memory;Sockets;Scalability;Subspace constraints;Memory management;Bandwidth;Debugging
Issue Date: 14-Jun-2021
Source: Proceedings of ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), 2021, 14-18 June, Valencia, Spain, pp. 498-511
Start page: 498
End page: 511
Conference: ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) 
Abstract: The ability to capture frequent (per millisecond) persistent snapshots to NVM would enable a number of compelling use cases. Unfortunately, existing NVM snapshotting techniques suffer from a combination of persistence barrier stalls, write amplification to NVM, and/or lack of scalability beyond a single socket. In this paper, we present NVOverlay, which is a scalable and efficient technique for capturing frequent persistent snapshots to NVM such that they can be randomly accessed later. NVOverlay uses Coherent Snapshot Tracking to efficiently track changes to memory (since the previous snapshot) across multi-socket parallel systems, and it uses Multi-snapshot NVM Mapping to store these snapshots to NVM while avoiding excessive write amplification. Our experiments demonstrate that NVOverlay successfully hides the overhead of capturing these snapshots while reducing write amplification by 29%-47% compared with state-of-the-art logging-based snapshotting techniques.
URI: https://hdl.handle.net/20.500.14279/29967
ISBN: 9781665433334
DOI: 10.1109/ISCA52012.2021.00046
Rights: © Copyright IEEE - All rights reserved.
Attribution-NonCommercial-ShareAlike 4.0 International
Type: Conference Papers
Affiliation : Carnegie Mellon University 
Samsung Electronics 
Intel Labs 
University of Toronto 
Microsoft Research India 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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