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Adam Belay
Researcher at Massachusetts Institute of Technology
Publications - 32
Citations - 1926
Adam Belay is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Computer science & Scheduling (computing). The author has an hindex of 13, co-authored 26 publications receiving 1471 citations. Previous affiliations of Adam Belay include VMware & Stanford University.
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IX: a protected dataplane operating system for high throughput and low latency
TL;DR: IX is presented, a dataplane operating system that provides high I/O performance, while maintaining the key advantage of strong protection offered by existing kernels, and outperforms Linux and state-of-the-art, user-space network stacks significantly in both throughput and end-to-end latency.
Proceedings ArticleDOI
Hacking Blind
TL;DR: This work implemented Braille, a fully automated exploit that yielded a shell in under 4,000 requests (20 minutes) against a contemporary nginx vulnerability, yaSSL + MySQL, and a toy proprietary server written by a colleague.
Proceedings ArticleDOI
Dune: safe user-level access to privileged CPU features
TL;DR: This work uses Dune to implement three user-level applications that can benefit from access to privileged hardware: a sandbox for untrusted code, a privilege separation facility, and a garbage collector, and greatly simplifies the implementation of these applications and provides significant performance advantages.
Proceedings Article
Shenango: Achieving High {CPU} Efficiency for Latency-sensitive Datacenter Workloads
TL;DR: Shenango achieves tail latency and throughput comparable to ZygOS, a state-of-the-art, kernel-bypass network stack, but can linearly trade latency-sensitive application throughput for batch processing application throughput, vastly increasing CPU efficiency.
Proceedings ArticleDOI
An operating system for multicore and clouds: mechanisms and implementation
David Wentzlaff,Charles Gruenwald,Nathan Beckmann,Kevin Modzelewski,Adam Belay,Lamia Youseff,Jason Miller,Anant Agarwal +7 more
TL;DR: This work describes the mechanisms and implementation of a factored operating system named fos, a single system image operating system across both multicore and Infrastructure as a Service (IaaS) cloud systems, and provides early performance measurements of fos.