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Image Application Redux

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This document outlines a robust architecture for streaming video using Redux, focusing on Quality of Service (QoS) management. The receiver subscribes to a video stream and must maintain a balanced load from the video server, avoiding both starvation and flooding. Key components include distributed QoS code, TCP communication for connection management, and sender-receiver feedback channels. The sender application pulls images, and the receiver processes them, ensuring adherence to Service Level Agreements (SLA) while monitoring CPU usage and managing timing effectively.

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Image Application Redux

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Presentation Transcript

  1. Image Application Redux • Still: receiver subscribes to stream from video source • And: Receiver must not be swamped or starved by video server • Things to note: • Code for QoS gets distributed • QoS code interleaved

  2. Base Code Just TCP communication Binding, connecting, marshalling, etc. No application code No QoS

  3. Sender Control • Sender-side Feedback channel • MUXs control messages • Binds, connects • TCP transport

  4. Sender SLA Implements SLA pieces for sender Param’ed by the SLA Can send messages over the control channel Responds to receiver feedback

  5. Sender Application • Pulls image from source • Uses Infopipe to send image

  6. Receiver Control • Receiver-side feedback channel • DeMUXs control messages • Binds, connects • TCP transport • Mirrors sender’s control code

  7. Timing Code • Inserts variables for time • Inserts system timing calls

  8. CPU Monitor • Calls system for resource usage • Uses timing from timing aspect • Calculates CPU use %

  9. Receiver SLA • Implements Receiver end of SLA • Returns feedback via control channel • Acts based on CPU % usage data

  10. Receiver Application • Processes images received off network by Infopipe

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