Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …

The purpose of network load balancers is to optimize quality of service to the users of a set
of servers–basically, to improve response times and to reducing computing resources–by …

This paper investigates the network load balancing problem in data centers (DCs) where
multiple load balancers (LBs) are deployed, using the multi-agent reinforcement learning …

This paper presents the network load balancing problem, a challenging real-world task for
multi-agent reinforcement learning (MARL) methods. Conventional heuristic solutions like …

In order to dynamically manage and update networking policies in cloud data centers,
Virtual Network Functions (VNFs) use, and therefore actively collect, networking state …

This contribution concerns load balancing, based on mechanisms from complex systems
theory dedicated to IoT solutions within the Edge-Cloud continuum. The basis of considered …

Load-Balancers play an important role in data centers as they distribute network flows
across application servers and guarantee per-connection consistency. It is hard however to …

One technique to improve connection stability in a network is to use more than one Internet
Service Provider (ISP). To make this possible, a load balancer is needed. Examples of load …

Network load balancers are central components in data centers, that distributes workloads
across multiple servers and thereby contribute to offering scalable services. However, when …

Recent research has proposed that Content Delivery Networks (CDNs) can use better
bandwidth allocation to improve video streaming services through congested links. Because …