• Proceedings of the Korea Multimedia Society Conference
• /
• 2003.11b
• /
• pp.921-924
• /
• 2003

본 논문은 인터넷 상에서 서비스되는 스트리밍 미디어를 캐쉬 서버에서 캐슁할 때 적용할 수 있는 재배치 정책에 관한 것이다. 스트리밍 미디어의 특성에 적합한 재배치 기준을 제시하고, 그에 따라 미디어 데이터를 캐슁하고 재배치하는 방법을 제안한다. 또한, 제안한 재배치 정책과 기존의 알려진 방법들에 대한 성능 비교 분석을 수행 한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.10c
• /
• pp.109-111
• /
• 2001

본 논문은 RTP/RTCP 표준 프로토콜을 이용하는 멀티미디어 스트리밍 환경에서 콘텐츠 특성에 영향받지 않고 프로토콜 수준의 캐슁을 지원하는 캐쉬 서버에 대하여 지술한다. 또한 RTP 패킷 단위로 캐슁된 콘텐츠에 대한 스트리밍 기법과 캐쉬 제어 기법을 기술한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.10c
• /
• pp.79-81
• /
• 2001

본 논문은 멀티미디어 스트리밍 환경에서 RTSP 표준화 프로토콜을 기반한 스트리밍 캐쉬 서버를 설계하고 구현한다. 또한 기존의 스트리밍 시스템과 호환성을 유지하기 위해 캐쉬 서버의 On-Demand 스트리밍 서비스를 지원하는 RTSP 세션 제어 기능의 응용과 절차에 대하여 기술한다.

• Journal of KIISE:Computer Systems and Theory
• /
• v.31 no.11
• /
• pp.658-672
• /
• 2004

Multimedia applications are required to process the huge amount of data at high speed in real time. The memory reference instructions such as loads and stores are the main factor which limits the high speed execution of processor. To enhance the memory reference speed, cache prefetch schemes are used so as to reduce the cache miss ratio and the total execution time by previously fetching data into cache that is expected to be referenced in the future. In this study, we present an advanced data cache prefetching scheme that improves the conventional RPT (reference prediction table) based scheme. We considers the cache line size in calculation of the address stride referenced by the same instruction, and enhances the prefetching algorithm so that the effect of prefetching could be maintained even if an irregular address stride is inserted into the series of uniform strides. According to experiment results on multimedia benchmark programs, the cache miss ratio has been improved 29% in average compared to the conventional RPT scheme while the bus usage has increased relatively small amount (0.03%).

• Journal of Advanced Navigation Technology
• /
• v.15 no.3
• /
• pp.355-363
• /
• 2011

Transcoding in the wireless mobile network is an important mechanism that reduces the delay time and improves the stream processing capacity. Wireless mobile streaming media services, however, have such problems as congestion, interference and delay due to narrow network bandwidth and limited resources. These problems degrade not only Quality of Service (QoS) but also responsiveness of the streaming media service. To solve this problem, this paper proposes a object version transcoding method. The proposed method analyzes the object versions to construct the transcoding graph. This paper utilizes a reference rate-based control function for an efficient streaming, and measures MVDS(Multiple Version Delay Saving) for an efficient delay savings. The simulation results show that the proposed mechanism achieves improved performance in delay rate and cache hit rate compared with those of other existing methods.

• Journal of Digital Convergence
• /
• v.10 no.4
• /
• pp.199-206
• /
• 2012

Increment of mobile client's information request in wireless mobile networks requires a new method to manage and serve the streaming media object. This paper proposes a new object segment grouping method for enhancing the performance of streaming media services in wireless mobile networks. The proposed method performs the similarity metric for the partitioned object segments, and it process the disjunction, conjunction, and filtering for these metrics. This paper was to decided the partitioned group of object segments for these operation metrics, and it decided the performance of streaming media services. The simulation result showed that the proposed method has better performance in throughput, average startup latency, and cache hit ratio.

• Journal of KIISE:Computer Systems and Theory
• /
• v.34 no.4
• /
• pp.138-144
• /
• 2007

With recent proliferation of video-on-demand services, caching in a multimedia streaming server is becoming increasingly important. Previous studies have shown that request interval based caching and its extension for considering different video popularity performs well in various streaming environments. In this paper, we show that block level refinement of this existing scheme can further improve the performance of streaming servers. Trace driven simulations with real world VOD traces have shown that the proposed scheme improves the cache hit rate and the startup latency.

• Journal of Broadcast Engineering
• /
• v.25 no.1
• /
• pp.94-104
• /
• 2020

Currently media consumption over fixed/mobile Internet is mostly conducted by adaptive media streaming technology such as DASH (Dynamic Adaptive Streaming over HTTP), which is an ISO/IEC MPEG (Moving Picture Experts Group) standard, or some other technologies similar to DASH. All these heavily depend on the HTTP caches that ISPs (Internet Service Providers) are obliged to provide sufficiently to make sure fast enough Web services. As a result, as the number of media streaming users increases, ISPs' burden for HTTP cache has been greatly increased rather than CDN (Content Delivery Network) providers' server burden. Hence ISPs charge traffic cost to CDN providers to compensate for the increased cost of HTTP caches. Recently in order to reduce the traffic cost of CDN providers, P2P (Peer-to-Peer)-assisted DASH system was proposed and a peer selection algorithm that maximally reduces CDN provides' traffic cost was investigated for this system. This algorithm, however, tends to concentrate the burden upon the selected peer. This paper proposes a new peer selection algorithm that distributes the burden among multiple peers while maintaining the proper reduction level of the CDN providers' cost. Through implementation of the new algorithm in a Web-based media streaming system using WebRTC (Web Real-Time Communication) standard APIs, it demonstrates its effectiveness with experimental results.

• The KIPS Transactions:PartA
• /
• v.11A no.1
• /
• pp.11-20
• /
• 2004

Multimedia data processing in streaming pattern contains high spatial locality and low temporal locality. This paper has proposed a dynamic data prefetching scheme that fully exploits the regularity between memory addresses referred consecutively. Compared to the existing data Prefetching scheme, the Proposed scheme can reduce data Prefetching error when an application divides an way into smaller blocks and processes them block by block. Experimental results on various media benchmark programs show the proposed scheme predicts memory addresses more accurately and results in better performance than existing prefetching schemes.

• The KIPS Transactions:PartA
• /
• v.11A no.3
• /
• pp.163-172
• /
• 2004

Multimedia applications tend to access their data as a streaming pattern with regular intervals. This characteristic can be utilized in prefetching the multimedia data into cache memory so as to reduce their execution speeds. The reference-prediction prefetch algorithm predicts the memory address that seems to be used in the next time based on the previous history of memory references stored in the prediction reference table. This paper proposes a strategy to manipulate the reference prediction table which contains all of the data reference instructions to scalar and streaming data. We have recognized that the scalar reference instructions do not contribute to the data prefetching algorithm. Therefore, when replacing an element in the reference prediction table, the proposed algorithm preferentially selects the scalar reference instruction before the stream reference instruction. It makes the stream reference instruction to stay for a long time compared to the FIFO replacement policy, and eventually improves the performance of data prefetching.