Most content providers are interested in providing good video delivery QoE for all users, not
just on average. State-of-the-art ABR algorithms like BOLA and MPC rely on parameters that …

Network communication has become a part of everyday life, and the interconnection among
devices and people will increase even more in the future. Nevertheless, prediction of Quality …

TCP throughput prediction is an important capability for networks where multiple paths exist
between data senders and receivers. In this paper, we describe a new lightweight method …

TCP throughput prediction is an important capability in wide area overlay and multi-homed
networks where multiple paths may exist between data sources and receivers. In this paper …

We present CausalSim, a causal framework for unbiased trace-driven simulation. Current
trace-driven simulators assume that the interventions being simulated (eg, a new algorithm) …

RPS is a publicly available toolkit that allows a practitioner to straightforwardly create flexible
online and offline resource prediction systems in which resources are represented by …

Parallel TCP flows are broadly used in the high performance distributed computing
community to enhance network throughput, particularly for large data transfers. Previous …

Bridge inspection reports are important sources of technically detailed data/information
about bridge conditions and maintenance history, yet remain untapped for bridge …

Disk-to-disk wide-area file transfers involve many subsystems and tunable application
parameters that pose significant challenges for bottleneck detection, system optimization …

Wide area data transfer may be a major bottleneck for the end-to-end performance of
distributed applications. A practical way of increasing the wide area throughput at the …