• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.33-34
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• 2008

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.293-295
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• 2012

가상화 기술은 물리적 컴퓨팅 자원을 사용자에게 논리적으로 제공하여 시스템의 효율성을 높이고 유연성을 향상시키기 위한 기술로 서버 통합이나 아마존 EC2와 같은 클라우드 컴퓨팅 환경에서 사용되고 있다. 이러한 가상화 환경에서는 다수의 가상머신들의 동시적인 I/O 수행으로 인해 저장장치에 병목현상이 발생된다. 또한 각 가상머신들의 중복된 데이터들을 저장하기 위해 불필요한 쓰기 비용이 발생하여 시스템의 성능 저하가 발생하게 된다. 본 논문에서는 이러한 가상화 환경에서의 I/O비용을 감소시키기 위해 SSD를 캐시로 사용하는 중복 제거 기법을 제안한다. 제안된 기법은 중복된 데이터를 제거하여 불필요한 디스크에 대한 I/O 수행을 감소시키며, 중복 발생 패턴의 특성을 고려하여 SSD의 빠른 쓰기 성능을 효과적으로 사용할 수 있는 캐시 구조 모델을 통해 가상화 환경에서 I/O 성능을 향상 시킬 수 있음을 보인다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.368-373
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• 2010

플래시 메모리의 집적도가 높아지고 가격이 저렴해 짐에 따라 낸드 플래시 기반의 SSD의 사용이 확산 되고 있다. 플래시 메모리 기반 SSD는 기존의 하드디스크와 비교하여 여러 가지 장점을 가지지만 덮어 쓰기가 불가능한 특성상 쓰기 공간 확보를 위해 가비지 컬렉션이 수행되어야 하는 단점을 가진다. 이러한 단점을 개선하기 위해 다양한 연구들이 제안되었다. 이 중, 운영체제의 페이지 캐시에 대한 연구가 상반된 주장을 보이고 있는 점[11, 12, 13]에 착안하여 실험을 통해 이를 재확인하였다. 실험 결과, 큰 용량의 페이지 캐시가 SSD를 스토리지로 갖는 시스템에서 파일 입출력 성능을 크게 향상시키는 것을 확인 할 수 있었다.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1151-1158
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• 2020

In order to investigate the speed profile of data I/O of HDD, we have developed an utility program. The application to HDD reveals the detail properties of the speed profile of HDD and the relation between the cylinder structure of HDD and the velocity profile. For the extent application, the experiment of the large volume storage was performed, and the profile of SSD media, which is known as the new rapid media, was measured. The new M.2 NVME SSD, which has the ability of over 10Gbps, we can compare the velocities between cp under linux O/S and the utility, and shows that the performance of the utility can be reliable.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.11-18
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• 2021

The flash translation layer(FTL) of SSD maps the logical page number requested from the host to the actual recorded flash memory page number. It is very important to reduce the amount of RAM used to manage the mapping information. In the existing demand-based FTLs, two-level method is applied in which mapping information is also recorded in flash memory pages and only their addresses are managed as a table in RAM. As the capacities of SSDs are growing to tens of terabytes, the amount of RAM for mapping table becomes too large. In this paper, ML-FTL was proposed as a method of managing mapping information in three levels to reduce the amount of RAM required drastically. From an evaluation, the increase in overhead was minimal compared to the conventional two-level method by properly utilizing cache.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.45-52
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• 2020

This paper proposes a solution for storage and retrieval problems for Resource Description Framework (RDF) data utilizing a key-value Solid State Device (SSD), considering storage, retrieval performance, and security. We propose a two-step compression algorithm to separate logical relationship and true values from RDF data-sets using the key-value SSD. This improves not only compression and storage efficiency but also storage security. We also propose a hybrid retrieval structure based on R∗-tree to enhance retrieval efficiency and implement a sort-merge join algorithm, and discuss factors affecting R∗-tree retrieval efficiency. Finally, we show the proposed approach is superior to current compression, storage, and retrieval approaches, obtaining target results faster while requiring less space, and competitive in terms of versatility, flexibility and security.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.838-846
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• 2004

In the case where both a camera and a target are moving at the same time, the image background is successively changed, and the overlap with other moving objects is apt to be generated. The snake algorithms have been variously used in tracking the object, but it is difficult to be applied in the excessive overlap with other objects and the large bias between the snake and the target. To solve this problem, this paper presents an extended snake model. It includes an additional energy function which considers the temporal variation rate of the snake's area and a SSD algorithm which generates the template adaptive to the snake detected in the previous frame. The new energy function prevents the snake from over-shrinking or stretching and the SSD algorithm with adaptively changing template allows the prediction of the target's position in the next frame. The experimental results have shown that the proposed algorithm successfully tracks the target even when the target is temporarily occluded by other objects.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39A no.2
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• pp.100-108
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• 2014

In this paper, we design SSD(simultaneous single band duplex) system using RF(radio frequency) cancellation and digital cancellation. we analyze characteristic of residual self-interference after RF Cancellation signal when error of phase shifter occur in RF cancellation. When phase shifter error of $0^{\circ}$, $0.5^{\circ}$, $1^{\circ}$ and $2^{\circ}$ occur in RF cancellation, residual self-interference signal power after RF cancellation is bigger than desired signal power of distant station. So, it is impossible to receive transmit data of distant station. but we confirm that it is possible to receive transmit data of distant station by digital cancellation with frame structure. Also, in digital cancellation with frame structure, if residual self-interference signal after RF cancellation is too large then LMS algorithm requires more time to estimate self-interference channel. That is, performance degradation occurs because self-interference channel estimation has not completed in estimation frame.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.6
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• pp.542-550
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• 2015

Usually, a new SSD (Solide State Drive) product is developed based on the software platform of the previous product. Therefore, when using the same test case was used to evaluate the previous generation evaluation of new products are a number of advantages may be, but a priority or weight is the inefficiency exists in the use of the evaluation resources due to not considered. A new method is proposed to prevent the waste of testing resources. Through the analysis of the evaluation data for the previous products, the combinations of testing cases with the highest probability for defect detections are identified. When the software is to be reused, most part of the base software platform is rarely modified and only some modules are added or modified. So, the whole software system may have similar types of defects with the previous products. By utilizing the evaluation data for the previous proucts, we can detect defects at an early stage.

• Journal of KIISE
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• v.43 no.1
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• pp.27-33
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• 2016

Virtualization has become one of the most helpful techniques in computing systems, and today it is prevalent in several computing environments including desktops, data-centers, and enterprises. However, since I/O layers are implemented to be oblivious to the I/O behaviors on virtual machines (VM), there still exists an I/O scalability issue in virtualized systems. In particular, when a multi-queue solid state drive (SSD) is used as a secondary storage, each system reveals a semantic gap that degrades the overall performance of the VM. This is due to two key problems, accelerated lock contentions and the I/O parallelism issue. In this paper, we propose a novel approach, including the design of virtual CPU (vCPU)-dedicated queues and I/O threads, which efficiently distributes the lock contentions and addresses the parallelism issue of Virtio-blk-data-plane in virtualized environments. Our approach is based on the above principle, which allocates a dedicated queue and an I/O thread for each vCPU to reduce the semantic gap. Our experimental results with various I/O traces clearly show that our design improves the I/O operations per second (IOPS) in virtualized environments by up to 155% over existing QEMU-based systems.