Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74905
Title: On-line memorry defragmentation for NVM-based persistent heaps
Authors: Li, L
Jiang, W
Pan, R
Zhan, J
Shao, Z 
Xiong, X
Keywords: Memory Defragmentation
NVM
Persistent heaps
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: NVMSA 2017 - 6th IEEE Non-Volatile Memory Systems and Applications Symposium, 2017, 8064471 How to cite?
Abstract: Due to the durability of NVM, we are facing the great challenge of performing efficient memory defragmentation on persistent heaps. To address the problem, we propose an Online Persistent Memory Defragmentation (OPMD) method to manage persistent heaps. Employing two segment trees to track memory allocation and deallocation operations, our method can amortize the cost of global scan, and determine the most valuable objects needed to be moved in logarithmic time. OPMD adopts software transactional memory to move objects and updates object references in constant time using object metadata. We conduct extensive experiments to test the impact of OPMD on the throughput of the operations of linked list and hash table.
Description: 6th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2017, Hsinchu, Taiwan, 16-18 August, 2017
URI: http://hdl.handle.net/10397/74905
ISBN: 9781538617687
DOI: 10.1109/NVMSA.2017.8064471
Appears in Collections:Conference Paper

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