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In this paper, we describe WiLo, a Rate Determination Algorithm (RDA) for HTTP Adaptive Streaming (HAS) applications. We demonstrate that WiLo delivers stable video output and avoids buffer starvation, even in highly dynamic wireless networks where existing algorithms often struggle. We also show WiLo to be effective with very small buffers, making it useful for live streaming applications where delay is a concern.

The introduction of HTTP Adaptive Streaming enabled high quality video delivery over IP networks. The continued rapid growth in video traffic poses new challenges at the network management level. Consequently, there is a demand for more control capability by content providers. We present a novel video delivery architecture which meets this need. The architecture supports adaptation to time-varying channels and flexibility in content personalization. In addition, it provides new means for efficient network resource management, including scheduled content delivery. The viability of this approach is demonstrated by an implementation that performs well in a variety of test scenarios.

There are many interacting issues which must be investigated fully before a multiprocessor system for signal processing applications is integrated. Among the most important of these issues are the system architecture, system configuration, and the implementation technology. A methodology for the simulation of systems under which these issues can be examined independantly is presented and shown to be applicable to a variety of architectures. The methodology used is simple and can be a valuable system design tool. The usefulness of the approach is illustrated with an example.