Single Video Performance Analysis for Video-on-Demand Systems

TL;DR

This paper analyzes content placement in cache-based video-on-demand systems to minimize server load and maximize cache usage, proposing a hybrid placement method that achieves near-optimal performance with low complexity.

Contribution

It introduces a novel analysis approach reducing multi-video placement to single-video systems and proposes a hybrid placement technique for improved efficiency.

Findings

Hybrid placement achieves near-optimal server load reduction.

Decoupled single-video analysis simplifies multi-video content placement.

Proposed method has low computational complexity.

Abstract

We study the content placement problem for cache delivery video-on-demand systems under static random network topologies with fixed heavy-tailed video demand. The performance measure is the amount of server load; we wish to minimize the total download rate for all users from the server and maximize the rate from caches. Our approach reduces the analysis for multiple videos to consideration of decoupled systems with a single video each. For each placement policy, insights gained from the single video analysis carry back to the original multiple video content placement problem. Finally, we propose a hybrid placement technique that achieves near optimal performance with low complexity.