A caching and streaming framework for mulitmedia

Abstract

In this paper, we explore the convergence of the caching and streaming technologies for Internet multimedia. The paper describes a design for a streaming and caching architecture to be deployed on broadband networks. The basis of the work is the proposed Internet standard, Real Time Streaming Protocol (RTSP), likely to be the de-facto standard for web-based A/V caching and streaming, in the near future. The proxies are all managed by an 'intelligent Agent' or 'Broker' -this has been designed as an enhanced RTSP proxy server that maintains the state information that is so essential in streaming of media data. In addition, all the caching algorithms run on the broker. Having an intelligent agent or broker ensures that the 'simple' caching servers can be easily embedded into the network. However, RTSP does not have the right model for doing broker based streaming/caching architecture. The work reported here is an attempt to contribute towards that end.

Profile Data Deploying Strategy for Efficient Cooperative Reasoning on Ontology

“…To maintain the freshness and effectiveness of the data, we should profile data adaptively. We use the term 'weight' of data to describe its relative importance as compared to the other data as proposed in [13]. The higher the weight, the lower is the probability of the clip being replaced.…”

QBIX-G: a transcoding multimedia proxy

“…Related work in this area mostly relies on layered coded videos, which reduces adaptation to the simple case of deleting the highest available enhancement layer. Examples are periodic caching of layered coded videos [3], combination of replacement strategies and layered coded videos [6], quality adjusted caching of GoPs (group of pictures) [9], adaptive caching of layered coded videos in combination with congestion control [8] or simple replacement strategies (patterns) for videos consisting of different quality steps [7]. Most of these proposals rely on simulation to evaluate the performance of the caching techniques.…”

Architecture of a quality based intelligent proxy (QBIX) for MPEG-4 videos

“…Other authors propose to cache the whole video but adapt the quality of the videos according to some criteria. Examples are periodic caching of layered coded videos [13], combination of replacement strategies and layered coded videos [21], quality adjusted caching of GoPs (group of pictures) [25], adaptive caching of layered coded videos in combination with congestion control [24] or simple replacement strategies (patterns) for videos consisting of different quality steps [23]. Most of these proposals rely on simulation to evaluate the performance of the caching techniques.…”