Modern data centers (DCs) employ various traffic load balancers to achieve high bisection
bandwidth. Among them, flowlet switching has shown remarkable performance in both load …

Accurate and fast data stream mining is critical and fundamental to many tasks, including
time series database handling, big data management and machine learning. Different heavy …

Load balancing network traffic through multiple shortest-paths has become common practice
to efficiently utilize the network infrastructure. Despite widespread adoption, Equal-Cost …

Multipath enhances the reliability and bandwidth of datacenter networks, but it also
necessitates effective load balancing. The dynamic nature of traffic and diverse flow …

Batch is an important pattern in data streams, which refers to a group of identical items that
arrive closely. We find that some special batches that arrive periodically are of great value. In …

Traffic measurement provides essential information for various network services. Burst is a
common phenomenon in high-speed network streams, which manifests as a surge in the …

Ensuring reliable operation of cloud networks is critical for cloud service providers to
guarantee quality of service for tenants. A promising solution is to design a high-fidelity …

In modern data centers, many flow scheduling schemes are proposed to accelerate data
transfer and improve user experience. However, these schemes assume ideally the prior …

The P4 language has proven to be a powerful tool for programming packet processing, but
its original design did not intend to handle stateful processing effectively. This shortcoming …

This thesis examines the use of load balancers in Internet routing, focusing on their
presence on various Internet paths. Data collection took place from November 2023 to April …