SREcon is a gathering of engineers who care deeply about site reliability, systems engineering, and working with complex distributed systems at scale. SREcon strives to challenge both those new to the ...

Upcoming USENIX conferences, as well as events that are being held in cooperation with USENIX, are listed below. View USENIX's conference policies and resources and how we put them into practice at ...

USENIX celebrates its 50th anniversary in 2025. We celebrate decades of innovations, experiments, and gatherings of the advanced computing system community. And in the spirit of our ever-evolving ...

USENIX conferences, as well as events held in cooperation with USENIX, are listed in reverse chronological order below.

While the number of vulnerabilities in the Linux kernel has increased significantly in recent years, most have limited capabilities, such as corrupting a few bytes in restricted allocator caches. To ...

Windows Azure Storage (WAS) is a cloud storage system that provides customers the ability to store seemingly limitless amounts of data for any duration of time. WAS customers have access to their data ...

The bicycle industry is increasingly adopting wireless gear-shifting technology for its advantages in performance and design. In this paper, we explore the security of these systems, focusing on ...

Recent advancements in generative AI have enabled ubiquitous access to large language models (LLMs). Empowered by their exceptional capabilities to understand and generate human-like text, these ...

Named Data Networking (NDN) shifts the network from host-centric to data-centric with a clean-slate design, in which packet forwarding is based on names, and the data plane maintains per-packet state.

Workload autoscaling is widely used in public and private cloud systems to maintain stable service performance and save resources. However, it remains challenging to set the optimal resource limits ...

One of the cornerstones in censorship circumvention is fully encrypted protocols, which encrypt every byte of the payload in an attempt to “look like nothing”. In early November 2021, the Great ...

Alpa automates model-parallel training of large deep learning (DL) models by generating execution plans that unify data, operator, and pipeline parallelism. Existing model-parallel training systems ...