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RISS 인기검색어
- 검색키워드
- 발행기관 : Graduate School of Convergence IT, Korea Universit (검색결과 152 건)
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Evaluation of storage systems in cloud computing
전세환 Graduate School of Convergence IT, Korea Universit 2011 국내석사
Hadoop is a standard framework for distributed system. Hadoop Distributed File Systems (HDFS) in Hadoop is not quite suitable for Cloud Storage Service (CCS), because it has only one master node called a namenode that manages all information of files in HDFS. The HDFS architecture makes some problems. Especially, memory usage sharply increases for many small files. For this reason, there needs to be a mechanism between General File Systems and Hadoop HDFS to get rid of the problem. The new layer called Block Filtering Systems of Agent that reduced namespace of a namenode, and this operation made more space for files’ metadata. Many small files could be stored in HDFS without physical limitations, but trade-off occurred between packaging time and memory usage. The purpose of this article is to show the performance measurements of both original HDFS file I/O and Agent HDFS file I/O, and the ways to use HDFS with high efficiency and low systems overheads.
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GPHTex : the GPHT with run-length monitoring
최재원 Graduate School of Convergence IT, Korea Universit 2013 국내석사
Up to this point, many researches had studied the DVFS (Dynamic Voltage and Frequency Scaling) to reduce power consumption of processors. The GPHT (Global Phase History Table) is a result of one such study that had presented an effective prediction mechanism for the utilization of the DVFS. However, the GPTH was not without a flaw. Because of its method to employ a fixed table for the prediction of the next DVFS option, the GPHT systematically cause two prediction misses when a same DVFS option repeats more than the window_size of the table. In order to solve this systematical problem, this paper introduces the GPHTex, the GPHT supplemented with run-length monitoring ability. This study has confirmed that the GPHTex indeed supplemented the GPHT with run-length monitoring ability without hindering the original prediction capability of the GPHT. This study, in its experiment, also confirmed that the GPHTex improves the prediction accuracy of the GPHT 8.98% at most and 3.28% at average. 현재까지 DVFS(Dynamic Voltage and Frequency Scaling)을 이용하여 프로세서의 전력소비량은 줄이기 위해 많은 연구가 진행되었다. DVFS를 효과적으로 사용하기 위해 최적의 DVFS설정의 예측 적중률을 향상시킨 GPHT (Global Phase History Table)또한 그런 연구의 결과물중 하나이다. 그러나 기존의 예측기법보다 상당히 높은 예측 적중률은 가지는 GPHT도 결점이 없지 않았다. 고정된 크기의 표를 만들고 그 표에 이전에 관측된 패턴과 패턴직후에 관측된 최적의 DVFS 값을 기록하여 이후의 예측에 사용하는 현재의 GPHT경우, 고정된 표의 Window_size보다 많은 수의 같은 DVFS값이 반복적으로 관측될 경우 최소 2번의 예측 miss를 만드는 구조적인 결함이 있다. 이와 같은 GPHT의 구조적 문제를 해결하기 위해 본 논문은 기존 GPHT에 Run-Length Monitoring 기능을 추가하여 GPHT를 보완한 GPHTex를 소개한다. 본 논문은 실험을 통하여 GPHTex가 GPHT 기존의 예측 적중률을 잃지 않으면서 성공적으로 GPHT의 문제점을 해결 하였다는 것을 확인하였다. 또한, 본 논문은 GPHTex가 기존 GPHT의 예측 적중률은 최대 8.98%, 평균 3.28% 향상시킨다는 것을 확인하였다.
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Vision algorithm for multi-core mobile devices
김은아 Graduate School of Convergence IT, Korea Universit 2012 국내석사
The recent emergence of multi-core processors and GPU has been enabled mobile device to employ various applications which are traditionally well known with heavy computation requirement such as vision application and mobile games. Computer vision (CV) applications such as video surveillance, camera-assisted intelligent driving are representative CV examples to take advantage of adopting high performance chipset for mobile platform as well. This report will explore that: (1) the characteristics of mobile applications; (2) introducing parallelization techniques that can be run improving performance both of multi-core CPU and GPU; (3); Eigenface recognition via accuracy improved PCA (Principle Component Analysis) [1]; (4) the summary of technologies that can be used in Tegra2[2]; (5) performance improvement by parallelizing matrix computation in Eigenface algorithm. The speed up by parallelizing face recognition software to use both of two cores in NVIDIA Tegra2 was overall 80% on Android [3].
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Adaptive geographical routing in vehicular Ad Hoc networks
유정환 Graduate School of Convergence IT, Korea Universit 2013 국내석사
There has been considerable research for greedy geographical routing protocols which are promising in Vehicular Ad Hoc Networks where uses wireless communication technology. While greedy geographical routing protocols such as GPSR use fix hello message interval, 1.5 second, in VANETs, presented method is adaptive hello message which changes hello message interval to the number of neighbor table entry increases delivery rate up to 22%.
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Effects of bluetooth SBC encoder base on CUDA in mobile environment
정지항 Graduate School of Convergence IT, Korea Universit 2011 국내석사
Traditionally, in mobile environment, Bluetooth subband codec (SBC) encoder has been executed on Digital Signal Processor (DSP) in order to distribute loads on Central Processing Unit (CPU). Similarly, the Bluetooth SBC encoder based on Compute Unified Device Architecture (CUDA) can assist CPU. However, unfortunately, any mobile GPU does not support the CUDA. In this paper, we propose software architecture of the SBC encoder based on the CUDA and also provide a method of predicting performance of this encoder via reference platforms. Our results showed that overall performance of this encoder was approximately 5 times higher than that of the encoder based on the DSP.
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(The) fast memory and File Management System (FMFS) for real-time applications
장진혁 Graduate School of Convergence IT, Korea Universit 2011 국내석사
In order to improve the performance of application, an optimization of algorithm, structure, and sequence typically used in application is used. However, such an optimization requires huge effort and time, and depends on the application, and therefore, a series of re-optimization should proceed in order to optimize other applications. In contrast, we introduce “The Fast Memory and File management System (FMFS) for real-time applications” that shows satisfactory performance in terms of memory and file processing without additional optimization of most of applications. As FMFS pre-allocates memory and file in sufficient size for an application before or immediately after the operation of an application and immediately performs service request of memory and file of an application on its run-time, it reduces overheads spent for the processing of memory and file allocation occurred on run-time and helps to improve the performance of an application.
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Precise QoS for SIP-based video applications in mobile equipment
이용희 Graduate School of Convergence IT, Korea Universit 2011 국내석사
Transmitting large packets over wireless networks, SIP based application such as Video telephony or Voice over IP have strong demands to be guaranteed quality-of-service (QoS). Significant efforts have been made recently in network frameworks side, but these approaches could not satisfy agile resilience for multimedia data in humble mobile environments. In this paper, our new QoS approach show accurate delivery quality of SIP based app over 3G mobile networks.
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