In comparison with cloud computing, edge computing offers processing at locations closer to
end devices and reduces the user experienced latency. The new recent paradigm of in …

As a cache eviction algorithm, FIFO has a lot of attractive properties, such as simplicity,
speed, scalability, and flash-friendliness. The most prominent criticism of FIFO is its low …

Modern web services use in-memory caching extensively to increase throughput and reduce
latency. There have been several workload analyses of production systems that have fueled …

Distributed deep neural network training (DT) systems are widely deployed in clusters where
the network is shared across multiple tenants, ie, multiple DT jobs. Each DT job computes …

The emergence of programmable switches offers a new opportunity to revisit ISP-scale
defenses for volumetric DDoS attacks. In theory, these can offer better cost vs. performance …

Traditionally, the data plane has been designed with fixed functions to forward packets using
a small set of protocols. This closed-design paradigm has limited the capability of the …

Sketch-based measurement has emerged as a promising alternative to the traditional
sampling-based network measurement approaches due to its high accuracy and resource …

Software switches are emerging as a vital measurement vantage point in many networked
systems. Sketching algorithms or sketches, provide high-fidelity approximate measurements …

File system metadata is the data in charge of maintaining namespace, permission semantics
and location of file data blocks. Operations on the metadata can account for up to 80% of …

Programmable packet scheduling enables scheduling algorithms to be programmed into the
data plane without changing the hardware. Existing proposals either have no hardware …