Cloud-Based Task Execution Marketplace

Summary

This project is a cloud-based task execution marketplace that enables users to run compute-intensive workflows without needing technical expertise. It provides an abstraction layer over scalable cloud infrastructure, allowing users to submit tasks, provision temporary compute environments, execute workloads, and retrieve results through a simple web interface.

The platform combines a marketplace model with on-demand cloud computing to support tasks such as video processing, content generation, and other resource-heavy workloads.

---

System Overview

Frontend

• Web interface for task submission and workspace interaction
• Real-time job status tracking
• Output visualization and delivery

Backend

• API layer for authentication, task routing, and job scheduling
• Handles marketplace logic, payments, and data management
• Interfaces between frontend and cloud compute layer

Cloud Compute Layer

• On-demand virtual machines or containerized environments
• Executes user-submitted workloads
• Automatically scales based on demand
• Returns processed outputs and terminates resources after completion

---

Workflow

1. User submits or selects a task via the web interface
2. Backend routes the task to the compute system
3. A cloud workspace is provisioned
4. Task executes in an isolated environment
5. Results are stored and returned to the user
6. Workspace is terminated to optimize cost and resources

---

Project Timeline (9–12 Months)

Phase 1: Problem Validation (Month 1)

• Identify target users and validate use cases
• Define MVP requirements
• Establish pricing and market assumptions

Phase 2: System Design (Month 2)

• Define full system architecture
• Select technology stack
• Create system design documentation

Phase 3: Core Infrastructure (Month 3)

• Set up cloud and backend environment
• Implement authentication and base APIs
• Establish database systems

Phase 4: Compute Engine (Months 4–5)

• Build virtual workspace provisioning
• Implement task execution pipeline
• Enable file transfer workflows

Phase 5: Frontend Development (Months 6–7)

• Build UI dashboard
• Connect frontend to backend APIs
• Implement job tracking system

Phase 6: Marketplace System (Months 7–8)

• Build task marketplace and job queue
• Integrate pricing and payment systems
• Enable automated task execution flow

Phase 7: Optimization (Month 9)

• Improve performance and reduce compute costs
• Implement auto-scaling and load balancing
• Conduct stress testing

Phase 8: Testing & Launch (Months 10–12)

• Run beta testing with users
• Fix system issues and refine UX
• Collect metrics and prepare final demo

---

Team

• Joyce Lin
• Kevin Dang
• Princeden Hom
• Amber Wang

Mentors

• Chris Chen
• Professor Hakim Weatherspoon

---

Tech Stack (Planned)

• Frontend: React
• Backend: FastAPI / Python
• Cloud: Scalable VM or container-based infrastructure
• Database: TBD