• KIISE Transactions on Computing Practices
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• v.23 no.8
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• pp.510-515
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• 2017

It is important to speed up the loading time of web applications. Parsing is a loading process that contributes to an increased loading time. To address this issue, the optimization called Concurrent Parsing has been proposed which handles the parsing process in parallel by using additional threads. However, Concurrent Parsing has a limitation that it does not consider the priority order of parsing. In this paper, we propose heuristics that exploit priorities of parsing to improve the Concurrent Parsing. For parsing priority, we empirically investigate the sequence of function calls, classify functions into 3 categories, and extract function call probabilities. If a function has high call probability, we give a high priority and if a function has low probability, we give a low priority. We evaluate this priority heuristics on real web applications and get the 2.6% decrease of loading time on average.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.10A
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• pp.886-895
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• 2005

As the networked media technology have been grown in recent, there have been many research works to deliver high-quality video such as HDV and HDTV over the Internet. To realize high-quality media service over the Internet, however, the network adaptive streaming scheme is required to adopt to the dynamic fluctuation of underlying networks. In this paper, we design and implement the network-adaptive HD(high definition) MPEG-2 streaming system employing the frame-based prioritized packetization. Delivered video is inputted from the JVC HDV camera to the streaming sewer in real-time. It has a bit-rate of 19.2 Mbps and is multiplexed to the MPEG-2 TS (MPEG-2 MP@HL). For the monitoring of network status, the packet loss rate and the average jitter are measured by using parsing of RTP packet header in the streaming client and they are sent to the streaming server periodically The network adaptation manager in the streaming server estimates the current network status from feedback packets and adaptively adjusts the sending rate by frame dropping. For this, we propose the real-time parsing and the frame-based prioritized packetization of the TS packet. The proposed system is implemented in software and evaluated over the LAN testbed. The experimental results show that the proposed system can enhance the end-to-end QoS of HD video streaming over the best-effort network.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.462-466
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• 2007

본 논문에서는 데이터 방송 환경에서의 DSM-CC 관련 Object Carousel Manager를 구현하고, 성능향상을 위한 캐싱 기법을 제안한다. Object Carousel Manger 구현은 다음과 같은 순서로 이루어진다. 먼저, 방송스트림에서 해당 PID별로 얻어온 모듈을 캐시에 저장한 후, 모듈에서 BIOP 메세지 오브젝트별로 분석한 뒤 파싱 한다. 그런 후, 파싱된 BIOP 메시지 오브젝트를 해당 서비스 게이트웨이, 디렉터리. 파일로 변환해준다. 마지막으로, 변환된 파일시스템에서 해당하는 Xlet Application을 실행시켜 주게 된다. 시스템성능 향상을 위해서 제안하는 캐싱 기법은 다음과 같다. DII의 Caching Priority Descriptor를 이용하여, Object들을 포함하고 있는 각각의 모듈에 대해서 Version Number를 Checking하는 주기인 Transparency_level을 부여하고, Application 실행 시 보여 주는 화면 순서대로 필요한 모듈에 대해 우선순위를 부여하여, 캐시에 업데이트 시 이를 반영하여, 시스템 전체의 성능을 향상시킨다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.4A
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• pp.421-430
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• 2006

In this paper, we propose a practical implementation of network-adaptive HD(high definition) MPEG-2 video streaming with a cross-layered channel monitoring(CLM) over the IEEE 802.11a WLAN(wireless local area network). For wireless channel monitoring, AP(access point) periodically measures the MAC(medium access control) layer transmission information and sends the monitoring information to a streaming server. This makes that the streaming server reacts more quickly as well as efficiently to the fluctuated wireless channel than that of the end-to-end monitoring(E2EM) scheme for the video adaptation. The streaming sewer dynamically performs the priority-based frame dropping to adjust the video sending rate according to the measured wireless channel condition. For this purpose, our streaming system nicely provides frame-based prioritized packetization by using a real-time stream parsing module. Various evaluation results over an IEEE 802.11a WLAM testbed are provided to verify the intended QoS adaptation capability The experimental results show that the proposed system can effectively mitigate the quality degradation of video streaming caused by the fluctuations of time-varying wireless channel condition.