Functional Requirements

• Users should be able to create a meeting with a title, date, time, duration, and participants.
• Integrate with popular calendar services (e.g., Google Calendar, Outlook).
• Support time zone conversion for global participants.
• Send notifications and reminders through email or push notifications.
• Allow participants to propose new times and vote on them.
• Offer features to modify or cancel a meeting.

Non-Functional Requirements

• Ensure high availability and low latency in meeting scheduling operations.
• The system should be scalable to handle thousands of concurrent users.
• Data consistency must be maintained, especially during updates or cancellations.
• Provide a secure authentication and authorization mechanism.

Time and Resource Estimation

Based on the requirements, we can break down the system into several key components each requiring dedicated resources:

• Frontend Development: 3-4 weeks, involving UI design and development of calendar integration features.
• Backend Development: 4-6 weeks for API development, database design, user authentication, and notification systems.
• Integration Testing: 2 weeks for comprehensive testing with various calendar APIs and user scenarios.

Assuming a 3-member development team, the project can be estimated to take around 10-12 weeks, factoring in development sprints and iteration cycles.

API Design

• POST /meetings - Create a new meeting. Body: { title, date, time, duration, participants }
• GET /meetings/{id} - Retrieve meeting details. Response contains { title, date, time, participants, status }.
• PUT /meetings/{id} - Modify meeting details. Body should include modified fields.
• DELETE /meetings/{id} - Cancel a meeting.
• POST /meetings/{id}/propose - Allow users to propose new time suggestions.

This API design adheres to RESTful principles, ensuring stateless interactions between the client and server for efficient meeting management.

Database Schema

The database can be structured using three main entities: Users, Meetings, and Proposals.

This schema supports the core functionalities of the Collaborative Meeting Scheduler and enables extension for future improvements.

High-Level Architecture

The architecture is designed to be modular, ensuring scalability and performance:

This architecture separates concerns effectively, where the Meeting Service manages core functionalities while the Notification Service handles user communications.

Main Request Flow

The interaction between components is straightforward. When a user creates a meeting, the flow is:

This flow demonstrates the essential interactions from request to final notification, encapsulating the core functionality of scheduling and notifying.

Component Breakdown

The key components of the system include:

• Client: Web or mobile application interface for user interactions.
• Load Balancer: To distribute incoming HTTP requests to backend services.
• Meeting Service: Core logic for scheduling and managing meetings.
• Notification Service: For sending reminders and notifications to participants.
• Database: For persistent storage of users, meetings, and proposals.
• Cache: To enhance performance and reduce database load.

By structuring the system this way, we enhance maintainability and scalability, each component can be independently scaled based on demand.

Trade-offs in Design

Choosing a microservices approach for the Collaborative Meeting Scheduler offers scalability and flexibility but introduces overhead in communication between services. Consideration of eventual consistency vs. strong consistency is pivotal; while eventual consistency might provide better performance, it may lead to transient states where meeting times appear conflicting.

Using a load balancer improves request handling but adds an additional network hop, potentially increasing latency. A cache system enhances performance but raises complexity in terms of cache invalidation strategies, especially when updates occur frequently.

Failure Scenarios and Mitigation

Several potential failures should be considered, such as:

• Database Failure: Implement replication and failover strategies to ensure high availability.
• API Rate Limiting: External calendar API may throttle requests. Implement a retry mechanism and exponential backoff strategy.
• Service Downtime: Use health checks and circuit breakers to revert to a read-only mode when the Meeting Service is down, allowing users to view details but not schedule.

By preparing for these failures, the system can maintain functional integrity even during adverse scenarios.

Future Improvements

As the system evolves, several enhancements can be applied:

• Machine Learning: Implement algorithms to suggest optimal meeting times based on historical data and user preferences.
• Integrations: Expand integrations with additional calendar platforms and communication tools like Slack or Teams.
• User Analytics: Track user engagement and meeting effectiveness to provide insights into scheduling habits.

These enhancements will not only enrich user experience but also reinforce the system's value proposition in a competitive market.