project-proposal-2025

TTV - A Streaming Media Platform

Abstract

TTV, an innovative streaming media platform designed to revolutionize the way audiences experience content. TTV delivers unparalleled streaming quality, personalized recommendations, real-time hotspot information notification, and an expansive library of diverse content.

Author

Name: Haotian Liu

Student number: 47412475

Functionality

1. Intelligent Personalization

   • Our AI-driven recommendation engine learns viewer preferences, delivering tailored and popular content suggestions that enhance user engagement and satisfaction.

2. Cross-Platform Accessibility

   • TTV offers a seamless experience across devices—smart TVs, tablets, and smartphones—allowing users to enjoy their favorite content anytime, anywhere.

3. Real-time Content Notification

   • Real-time content information is updated and pushed to regional users according to regional popularity.

4. User-Friendly Interface

   • Designed with an intuitive layout, TTV allows for easy navigation, making it simple for users to discover and enjoy new content.

Scope

The Minimum Viable Product (MVP) for our streaming media platform, TTV, will focus on delivering core functionalities that ensure high availability and effective content delivery via a Content Delivery Network (CDN). Below are the fundamental functionalities included in the MVP:

User Registration and Authentication

• Account Creation: Users can create accounts via email or social media logins.
• Secure Authentication: Implement secure password storage to protect user information.

Content Catalog

• Basic Library: A curated selection of popular movies, TV shows, and original content.
• Search and Filter: Users can search for specific titles or filter content by genre, release year, and popularity.

Streaming Playback

• Adaptive Bitrate Streaming: Ensure smooth playback across varying network conditions by adjusting video quality in real time.

Content Delivery Network (CDN) Integration

• Large-scale CDN Deployment: Utilize a robust CDN to ensure low latency and high availability, minimizing buffering and maximizing uptime.
• Load Balancing: Efficiently distribute traffic across multiple servers to handle high demand and improve performance.

Quality Attributes

1. Availability

   • The core services of the platform are available to users at any time and place. Users must be able to access the services, and the platform must not crash.

2. Scalability

   • The system must support a large number of concurrent users accessing simultaneously. If there is a significant fluctuation in user requests during a certain period, the system must ensure normal user access.

3. Reliability

   • The system should provide stable services. Even with high latency, it should still allow customers to continue operating.

Availability vs. Scalability Trade-off Priority is given to availability in high concurrency scenarios to ensure normal services. Scalability refers to maintaining accessibility during expansion.

Evaluation

1. Availability

• Uptime Percentage: The platform should aim for high uptime, commonly 99.9% or higher (often referred to as the “Service Level Agreement” or SLA).
• Redundancy: The platform should have redundant systems and servers in place (e.g., multiple data centers, load balancing) to minimize downtime during failures.
• Maintenance Windows: Scheduled maintenance and updates should have minimal impact on users, with a clear communication plan during these times.

Tools & Techniques: a. Use of uptime monitoring services (e.g., Pingdom, UptimeRobot). b. Implement load balancing across multiple servers or regions.

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2. Scalability

• Cloud Infrastructure: Leverage cloud technologies (e.g., AWS, Azure, GCP) for elastic scaling based on demand.
• Load Testing & Stress Testing: Perform tests under high traffic conditions with performance benchmarks.
• Content Delivery Network (CDN): Use CDNs to handle geographically distributed users and reduce latency.

Tools & Techniques: a. Auto-scaling policies within cloud environments. b. Timer-based measurements to record the time from the start of the client request to the response. c. CDN integration for efficient media delivery (e.g., Akamai, Cloudflare).

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3. Reliability

• Error Rates: Monitor how often users experience errors such as failed media loads, interrupted streams, or inaccessible content. Define acceptable error thresholds.
• Recovery Time (MTTR): Measure the platform’s average time to recover from failures (Mean Time to Repair).
• Monitoring and Logging: Maintain comprehensive logs for identifying failures and troubleshooting. Proactively identify system failures or slowdowns.

Tools & Techniques: a. Health checks and failover systems to ensure service continuity. b. Error tracking and logging systems. c. Incident management systems for tracking outages and performance degradation.