On fair traffic allocation and efficient utilization of network resources based on MARLстатья
Статья опубликована в высокорейтинговом журнале
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Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 10 июля 2024 г.
Аннотация:The problem of traffic balancing in a data network environment is considered in relation to Network Powered by Computing (NPC) - a new generation of computational infrastructure, where computational and data transmission resources form a network. The key contribution of this work can be formulated as follows: the combination of multi-agent optimization technique with reinforcement learning and consistent hashing method ensures efficient use of bandwidth in the overlay network. This combination, named Multi-Agent Routing with Hashing (MAROH), demonstrates high performance and provides fast and fair bandwidth distribution inside an overlay network. The paper provides a detailed description of MAROH and experimental results that show that MAROH exhibits better consistent flow routing balancing than ECMP and is only slightly affected by changes in network topology.