Abstract:

The global surge in demand for real-time video

content has exposed the limitations of conventional

streaming systems, which often struggle to maintain a

consistent and high-quality viewing experience across

diverse and fluctuating network conditions. The core

challenge lies in designing a system that can

dynamically adapt to variable bandwidth and latency

while serving a massive concurrent user base. This

paper introduces VividStream, a novel real-time video

streaming architecture engineered to overcome these

hurdles. The system is founded on a containerized

microservices framework that cleanly separates the

processes of video ingestion, processing, and

distribution into independent, scalable components. Its

primary innovations include a context-aware adaptive

bitrate algorithm that synthesizes real-time network

throughput with client buffer status for superior

decision-making, a multi-codec encoding ladder that

optimizes bandwidth utilization across different

device profiles, and an intelligent edge delivery

network that minimizes latency through geolocation-

based routing. Empirical performance evaluations

confirm the system's capability to sustain end-to-end

latency figures below two seconds for live content,

achieve exceptional service reliability of 99.95

percent, and reduce viewer-side rebuffering incidents

by over ninety percent when benchmarked against

traditional adaptive streaming methodologies.