Optimizing Distributed Communication: A Comparison of Load Balancing Strategies in gRPC and Apache Thrift
Subhiksha Suresh Rao, Sahil Mishra, Samarth Seshadri, Sreebha Bhaskaran · 2024
Efficient load balancing is essential for distributed systems to have outstanding performance and scalability. This study compares the load balancing strategies of two popular distributed application frameworks, gRPC and Apache Thrift. The features of each algorithm are examined, along with their advantages and disadvantages. To give a helpful evaluation, the performance of these algorithms is tested using key factors like throughput, latency, resource utilisation, and scalability. The comparison looks at the trade-offs involved in selecting different algorithms for distributed system load balancing and identifies the scenarios in which one method might be more suitable.