An Analysis of Bugs In Persistent Memory Application

Autor:	Hasan, Jahid
Rok vydání:	2023
Předmět:	Computer Science - Software Engineering Computer Science - Cryptography and Security Computer Science - Information Theory
Druh dokumentu:	Working Paper
Popis:	Over the years of challenges on detecting the crash consistency of non-volatile persistent memory (PM) bugs and developing new tools to identify those bugs are quite stretching due to its inconsistent behavior on the file or storage systems. In this paper, we evaluated an open-sourced automatic bug detector tool (i.e. AGAMOTTO) to test NVM level hashing PM application to identify performance and correctness PM bugs in the persistent (main) memory. Furthermore, our faithful validation tool able to discovered 65 new NVM level hashing bugs on PMDK library and it outperformed the number of bugs (i.e. 40 bugs) that WITCHER framework was able to identified. Finally, we will propose a Deep-Q Learning search heuristic algorithm over the PM-Aware search algorithm in the state selection process to improve the searching strategy efficiently. Comment: 8 pages, 4 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.10493 Zobrazit plný text záznamu View this record from Arxiv