Cost-Aware Resource Allocation and Execution Scheduler (Cares)

This paper presents CARES (Cost-Aware Resource Allocation and Execution Scheduler), a distributed computing platform engineered to optimize function execution across a dynamic cluster of nodes. CARES introduces a cost-aware scheduling algorithm that leverages real-time CPU and memory metrics to achieve efficient load balancing and reduce operational costs. Built in Go, the system integrates Docker for containerized execution, gRPC for inter-node communication, and a modern Terminal User Interface (TUI) for real-time monitoring. CARES demonstrates advanced concepts in distributed systems, including service discovery, dynamic resource allocation, and fault tolerance, providing both a practical orchestration solution and an educational tool for understanding the complexities of distributed architectures.