1. Introduction
  - Background and Significance
  - Objectives of the Project
2. Literature Review
  - Distributed Computing Algorithms
  - Challenges in Large-Scale Data Processing
  - Existing Approaches to Distributed Algorithm Optimization
3. System Architecture and Design
  - Requirements Analysis for Distributed Algorithm Optimization
  - Selection of Algorithms for Optimization
  - Integration with Distributed Data Processing Framework
4. Implementation
  - Development Environment and Tools
  - Algorithm Optimization Techniques
  - Integration with Distributed Computing Platform
5. Testing and Evaluation
  - Test Scenarios and Methodology
  - Performance Evaluation
  - Scalability and Fault Tolerance Testing