Datacenter operators today strive to support microsecond-latency applications while also
using their limited CPU resources as efficiently as possible. To achieve this, several recent …

Computing is an indispensable tool in addressing climate change, but it also contributes to a
significant and steadily increasing carbon footprint, partly due to the exponential growth in …

Suboptimal scheduling decisions in operating systems, networking stacks, and application
runtimes are often responsible for poor application performance, including higher latency …

Datacenter applications expect microsecond-scale service times and tightly bound tail
latency, with future workloads expected to be even more demanding. To address this …

The Berkeley Packet Filter (BPF) has emerged as the de-facto standard for carrying out safe
and performant, user-specified computation (s) in kernel space. However, BPF also …

Kernel bypass systems have demonstrated order of magnitude improvements in throughput
and tail latency for network-intensive applications relative to traditional operating systems …

Kernel synchronization primitives are the backbone of any OS design. Kernel locks, for
instance, are crucial for both application performance and correctness. However, unlike …

Isolating application components is crucial to limit the exposure of sensitive data and code to
vulnerabilities in the untrusted components. Process-based isolation is the de facto isolation …

Careful orchestration of requests at a datacenter server is crucial to meet tight tail latency
requirements and ensure high throughput and optimal CPU utilization. Orchestration is multi …

We introduce uProcess, a pure userspace process abstraction that enables CPU cores to be
rescheduled among applications at sub-microsecond timescale without trapping into the …