As the usage of wireless packet data services increases, wireless
carriers today are faced with the challenge of offering multimedia
applications with QoS requirements within current 3G data networks. End-to-end QoS requires support at the application, network, link and medium access control (MAC) layers. We discuss existing CDMA2000 network architecture and show its shortcomings that prevent supporting multiple classes of traffic at the Radio Access Network
(RAN). We then propose changes in RAN within the standards framework that enable support for multiple traffic classes. In addition, we discuss how Session Initiation Protocol (SIP) can be augmented with QoS signaling for supporting end-to-end QoS. We also review state of the art scheduling algorithms at the base station and provide possible extensions to these algorithms to support different classes of traffic as well as different classes of users.
In the current Internet, web content is increasingly being cached closer to the end-user to reduce network and web server load and therefore improve performance and user perceived quality. Existing web caching systems typically cache entire web documents and attempt to keep them consistent with the origin server. This approach works well for text and images; for bandwidth intensive multimedia data such as audio and video, caching entire documents is not cost effective and does not scale. An alternative approach is to cache parts of the multimedia stream on different caches in the network and coordinate stream playback from these caches. In such a case, the collection of cooperating distributed caches act as a single cache that is both scalable and fault-tolerant. This paper focuses on the design and the evaluation of novel data placement and replacement techniques for such distributed caches. Specifically, we propose schemes that work together: (1) RCache, a family of easy-to-implement, fault-tolerant multimedia data layout schemes that incorporate novel intra- and inter-clip replication controls, (2) TwoD, a two-dimensional local data replacement scheme based on the concept of segment popularity used for data replacement ordering at each cache. Our schemes optimize storage space, start-up latency, server load, network bandwidth usage, and overhead from playback switch-overs. Our simulation results show that the RCache schemes provide 4 - 9 times higher cache hit ratio than a comparable traditional web caching system with the same amount of storage space.
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