In data center networks, existing control plane-and end host-based load-balancing methods
are encumbered by excessively large decision delays during rapid reactions to microbursts …

Load balancing is essential for datacenter networks. However, prior solutions have
significant limitations: they either are oblivious to congestion or involve a daunting and time …

In the distributed infrastructure of fog computing, fog nodes (FNs) can process user requests
locally. In order to reduce the delay and response time of a user's requests, incoming …

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 …

In recent times, cloud computing become a promising technology for providing computing
sources and storage services to individual users and organizations over the internet via its …

Multi-rooted topologies are used in large-scale networks to provide greater bisectional
bandwidth. These topologies efficiently use a higher degree of multipathing, probing, and …

In the digital era, the evolution of big data, cloud computing, Internet of Things (IoT),
blockchain, and quantum computing demands a preferable networking infrastructure to …

Existing load-balancing methods used in data center networks involve some shortcomings
such as excessively large decision delays during reactions to microbursts and large …

Decentralized load balancers are gaining in popularity because they offer scalability,
resilience, and the ability to handle high-demand workloads in distributed network systems …

Content interest forwarding is a prominent research area in Information Centric Network
(ICN). An efficient forwarding strategy can significantly improve data retrieval latency, origin …