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NAFS : Stackable Filesystem for Maximizing Local Access in a NUMA System
Seungjun Ha, Hobin Woo, Euiseong Seo, Beomseok Nam
http://doi.org/10.5626/JOK.2021.48.6.612
Intel Optane DC Persistent Memory has read/write latencies comparable to DRAM but ensures data persistence as in block devices such as SSD. However, Optane DC PM modules are installed in DIMM slots of NUMA nodes but legacy block devices are installed in PCIe or SATA. Therefore, Optane DC PMs are known to suffer from the NUMA effects, and the performance of a multithreaded application depends on the NUMA locality. In this paper, we propose a novel stackable file system, NUMA-Aware Filesystem (NAFS). NAFS divides a file into segment units such that I/Os can be performed in local NUMA nodes where each application thread runs. To enable this feature, NAFS duplicates the file metadata across all NUMA nodes if the number of remote I/Os exceeds a certain threshold. Our performance study shows NAFS reduces the number of accesses to remote NUMA nodes significantly, improving the performance of multithreaded applications.
LFA-SkipList: Optimizing SkipList by Reducing Access in a NUMA-Aware System
Sunghwan Ahn, Yujin Jang, Seungjun Ha, Beomseok Nam
http://doi.org/10.5626/JOK.2021.48.1.1
Intel"s Optane DC Persistent Memory is a non-volatile memory that works faster than storage devices and stores data persistently. However, in the NUMA system, it takes a longer latency to access the remote memory of another CPU socket than for local NUMA access. Therefore, performance is degraded when configuring the SkipList in multiple non-volatile memories. In this paper, an LFA-SkipList was proposed to solve this problem. The LFA-SkipList has a newly added local pointer and uses it to access the local node first and then the remote node, thereby reducing unnecessary remote node access and improving performance. The study found the LFA-SkipList demonstrated a much shorter search time than that of the legacy SkipList.
Identification of Attack Group using Malware and Packer Detection
Heaeun Moon, Joonyoung Sung, Hyunsik Lee, Gyeongik Jang, Kiyong Kwak, Sangtae Woo
http://doi.org/10.5626/JOK.2018.45.2.106
Recently, the number of cyber attacks using malicious code has increased. Various types of malicious code detection techniques have been researched for several years as the damage has increased. In recent years, profiling techniques have been used to identify attack groups. This paper focuses on the identification of attack groups using a detection technique that does not involve malicious code detection. The attacker is identified by using a string or a code signature of the malicious code. In addition, the detection rate is increased by adding a technique to confirm the packing file. We use Yara as a detection technique. We have research about RAT (remote access tool) that is mainly used in attack groups. Further, this paper develops a ruleset using malicious code and packer main feature signatures for RAT which is mainly used by the attack groups. It is possible to detect the attacker by detecting RAT based on the newly created ruleset.
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