“Due to its improved response time, availability, and efficiency, load balancing emerged as an essential framework for designing high-performance distributed computing systems. This paper introduces a unified testing platform that objectively compares load balancing algorithms and measures their performance. It employs various request patterns and load types to simulate real-world conditions. We evaluate a selection of static and dynamic algorithms on throughput, response time, and failure rate metrics. The results show that most, but not all, dynamic algorithms perform better than static ones.”

Find the paper and list of authors in the International Conference on Computing, Networking and Communications proceedings.