Grid Computing Scheduling Research

Broad Category: Tabulated Analytics + Optimization

Project Focus: Scheduling and resource allocation for distributed grid computing systems.

Overview

This research investigated scheduling problem variants in grid computing, identifying efficient metaheuristic approaches for distributed resource management.

Key Contributions

• Surveyed grid computing scheduling literature and algorithmic frameworks.
• Proposed solution architectures for scheduling jobs on distributed compute resources.
• Performed comparative evaluation of metaheuristic scheduling algorithms.
• Presented findings during the internship at GE John F. Welch Technology Centre.

Technology

Metaheuristics, scheduling algorithms, resource allocation, research architecture.

Outcome

The project produced a structured approach to grid scheduling and provided practical guidance for distributed optimization in large-scale compute environments.