• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.19-24
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• 2009

When a dynamic method is applied at the time of occurrence of an client's connection request for most of the online gaming server engine, the gaming server is processing a session connection, it's initialization. Yet, such a method will cause a lot of loading and bottle-neck in the gaming server at the same time. Therefore we propose the object polling scheme to minimizes a memory fragmentation and loading of the initialization on the client using a static allocation method for an efficient On-lin gaming serverin this paper. We implement the gaming server applying to our proposed scheme, and we show an improvement in our proposed scheme by performance analysis in this paper.

• Journal of Advanced Navigation Technology
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• v.14 no.5
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• pp.767-774
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• 2010

Due to advantages of NAND flash memory such as non-volatility, low access latency, low energy consumption, light weight, small size and shock resistance, it has become a better alternative over traditional magnetic disk drives, and has been widely used. Traditional DBMSs including mobile DBMSs may run on flash memory without any modification by using Flash Translation Layer (FTL), which emulates a random access block device to hide the characteristics of flash memory such as "erase-before-update". However, most existing FTLs are optimized for file systems, not for DBMSs, and traditional DBMSs are not aware of them. Also, traditional DBMSs do not consider the characteristics of flash memory. In this paper, we propose a flash-conscious storage system for DBMSs that utilizes flash memory as a main storage medium, and carefully put the characteristics of flash memory into considerations. The proposed flash-conscious storage system exploits log records to avoid costly update operations. It is shown that the proposed storage system outperforms the state.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.346-348
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• 2000

전통적일 파일 캐쉬나 가상 메모리 시스템과 웹 캐쉬는 다르다. 웹 캐쉬는 WWW상에서 작게는 수백 바이트에서 크게는 수십 메가바이트에 이르는 다양한 크기의 개체를 다루어야 한다. 다양한 크기의 개체를 다루는데 따른 문제점은 캐쉬 성능을 판단하는 매트릭스가 단순한 hit rate가 아니라는 것이다. 기본적인 웹 캐쉬의 성능 매트릭스로는 HR(cache hit rate)와 BHR(byte cache hit rate)가 있으며, 기존에 제시된 캐쉬 정책들은 두 가지 중 하나만을 만족하거나 아니면 어느 것도 만족하지 않는 경우가 대부분이다. 트레이스 드리븐 방식을 이용한 시뮬레이션을 통하여, 기존에 우수성이 입증된 캐쉬 대체 정책과 우리가 제시한 TYPE 대체 정책을 HR과 BHR을 기준으로 비교한다. 우리가 제시한, 파일 타입에 대해 동적으로 할당된 캐쉬 공간을 갖는 캐쉬 대체기법은 각각의 두 성능 매트릭스에 대해서 골고루 우수한 성능을 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.295-297
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• 2003

실시간 운영체제는 여러 개의 독립적인 태스크가 동시에 실행될 수 있는 멀티태스킹 환경을 제공한다. 이러한 독립적인 태스크들 사이에 정보를 주고받기 위해서는 태스크들 사이의 통신이 필요하며 이러한 ITC(Inter-Task Communication)를 지원하는 방법에는 Global Variable과 Message 전송 두 가지 방법이 있다. Global Variable 은 Data Corruption 의 위험이 있기 때문에 보통의 실시간 운영체제에서는 Message 전송 방식을 주로 사용하는데 이러한 방식에는 메시지 큐, 메시지 메일박스, 메시지 포트 등이 있다. 본 논문에서는 태스크들 간에 또는 태스크와 ISR(Interrupt Service Routine)이 여러 개의 메시지를 서로 전달할 수 있는 메시지 큐에 대해서 설명하고 있다. 또한 태스크 또는 ISR 이 메시지 큐로부터 메시지를 주고받을 때 메모리의 동적 할당을 보다 효과적으로 처리함으로써 효율적인 메시지 큐 제어기법에 대해서 제시하고 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.467-470
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• 2011

일반 PC의 메인 메모리에 올릴 수 없는 거대 용량의 데이터의 경우 가시화를 통한 해석을 수행하는데 어려움이 많다. 본 논문에서는 이러한 거대 용량의 데이터를 실시간으로 처리하기 위한 분산 환경에서의 가시화 서버의 설계를 제안한다. 본 논문에서 제안하는 가시화 서버는 가시화 관리자, 네트워크 관리자, 데이터 관리자로 구분되며 이들 관리자를 통해 복수의 사용자에 대한 가시화 서비스 제공, 거대 데이터의 실시간 동적 데이터 분할 및 할당 및 실시간 가시화를 지원한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.6
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• pp.1375-1382
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• 2019

The latest version of commercial protector, Themida, has been updated, it is impossible to apply a normalized unpacking mechanism from previous studies by disable the use of a virtual memory allocation that provides initial data to be tracked. In addition, compared to the previous version, which had many values that determined during execution and easy to track dynamically, it is difficult to track dynamically due to values determined at the time of applying the protector. We will look at how the latest version of Themida make it difficult to normalize the API wrapping process by adopted techniques and examine the possibilities of applying the unpacking techniques to further develop an automated unpacking system.

• Journal of KIISE
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• v.43 no.7
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• pp.725-735
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• 2016

Smart TV uses Webkit as a web browser engine to provide contents such as web surfing, VOD watching, and games. Webkit uses web resources, such as HTML, CSS, JavaScript, and images, in order to run applications. At the start of an application, Webkit loads resources to the memory and creates DOM tree and render tree, which is a time consuming process. However, DOM tree and render tree created by the smart TV application do not change over time because the smart TV application uses web resources stored in a disk. If DOM tree and render tree can be stored and reused, it is possible to reduce loading time of an application. In this paper, we propose FastIO technique that selectively adds persistency to dynamically allocated memory. FastIO reduces overall application loading time by eliminating the process of loading resources from storage, parsing the HTML documents, and creating DOM tree and render tree. Comparison of the application resource loading times indicates that the web browser with FastIO is 7.9x, 44.8x, and 2.9x faster than the legacy web browser in an SSD, Ramdisk, and eMMC environment, respectively.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.5
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• pp.219-230
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• 2017

General-Purpose Graphics Processing Units (GPGPUs) build massively parallel architecture and apply multithreading technology to explore parallelism. By using programming models like CUDA, and OpenCL, GPGPUs are becoming the best in exploiting plentiful thread-level parallelism caused by parallel applications. Unfortunately, modern GPGPU cannot efficiently utilize its available hardware resources for numerous general-purpose applications. One of the primary reasons is the inefficiency of existing warp/thread block schedulers in hiding long latency instructions, resulting in lost opportunity to improve the performance. This paper studies the effects of hardware thread scheduling policy on GPGPU performance. We propose a novel warp scheduling policy that can alleviate the drawbacks of the traditional round-robin policy. The proposed warp scheduler first classifies the warps of a thread block into two groups, warps with long latency and warps with short latency and then schedules the warps with long latency before the warps with short latency. Furthermore, to support the proposed warp scheduler, we also propose a supplemental technique that can dynamically reduce the number of streaming multiprocessors to which will be assigned thread blocks when encountering a high contention degree at the memory and interconnection network. Based on our experiments on a 15-streaming multiprocessor GPGPU platform, the proposed warp scheduling policy provides an average IPC improvement of 7.5% over the baseline round-robin warp scheduling policy. This paper also shows that the GPGPU performance can be improved by approximately 8.9% on average when the two proposed techniques are combined.

• The KIPS Transactions:PartD
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• v.10D no.7
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• pp.1067-1076
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• 2003

Database sharing system (DSS) refers to a system for high performance transaction processing. In DSS, the processing nodes are locally coupled via a high speed network and share a common database at the disk level. Each node has a local memory and a separate copy of operating system. To reduce the number of disk accesses, the node caches database pages in its local memory buffer. In this paper, we propose a dynamic transaction routing algorithm to balance the load of each node in the DSS. The proposed algorithm is novel in the sense that it can support node-specific locality of reference by utilizing the primary copy authority assigned to each node; hence, it can achieve better cache hit ratios and thus fewer disk I/Os. Furthermore, the proposed algorithm avoids a specific node being overloaded by considering the current workload of each node. To evaluate the performance of the proposed algorithm, we develop a simulation model of the DSS, and then analyze the simulation results. The results show that the proposed algorithm outperforms the existing algorithms in the transaction processing rate. Especially the proposed algorithm shows better performance when the number of concurrently executed transactions is high and the data page access patterns of the transactions are not equally distributed.

• The Transactions of the Korea Information Processing Society
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• v.7 no.7
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• pp.2204-2218
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• 2000

This paper proposes a dynamic storage allocation algorithm, QHF(quick-half-fit) for real-time systems. The proposed algorithm manages a free block list per each worked size for memory requests of small size, and a free block list per each power of 2 size for memory requests of large size. This algorithms uses the exact-fit policy for small sie requests and provides high memory utilization. The proposed algorithm also has the time complexity O(I) and enables us to easily estimate the worst case execution time (WCET). In order to confirm efficiency of the proposed algorithm, we compare he memory utilization of proposed algorithm with that of half-fit and binary buddy system that have also time complexity O(I). The simulation result shows that the proposed algorithm guarantees the constant WCET regardless of the system memory size and provides lower fragmentation ratio and allocation failure ratio thant other two algorithms.