September 1, 2022

Building a better ORAM with Oblix and Snoopy

Rather than tread this path towards ever-increasing program complexity as we try to hand-craft obfuscation into our memory access patterns through linear scanning, we’ve built a layer of abstraction around RAM access that utilizes higher-performing oblivious RAM (ORAM) techniques. We are inspired by the systems discussed in current academic literature, such as Path ORAM, Oblix, and Snoopy and grateful to the researchers who developed and shared them...

Sky project in the news: Piranha

All you have to do is bring your cryptographic protocols to Piranha and then program on top of it. That’s why we say it’s really a platform. In this study, we implemented three protocols on top of Piranha to show that it works, but you could implement any protocols you wanted on top of it and still get the same acceleration benefits...

How Machine Learning Became Useful: Reflecting on a Decade of Research

Artificial intelligence and machine learning have become a critical piece of every aspect of life today. Yet 15 years ago, machine learning was a much smaller research discipline. How did a field born out of mathematics and theoretical computer science join forces with rapid innovation in data and computer systems to change the modern world? This is the question I have been asking myself as I reflect on my research career.

July 18, 2022

Ion Stoica wins 2023 IEEE Koji Kobayashi Computers and Communications Award

Presented annually, the IEEE Koji Kobayashi Computers and Communications Award was established by the IEEE Board of Directors in 1986 for outstanding contributions to the integration of computers and communications.

July 15, 2022

“How Machine Learning Became Useful: Reflecting on a Decade of Research”

Professor Joey Gonzalez wrote a blog reflecting on the past decade of ML systems research and how data and compute were catalyzed by new ML abstractions to launch the ML revolution. Read it on Medium:

June 1, 2022

Chenggang Wu receives 2022 SIGMOD Jim Gray Doctoral Dissertation Award

Chenggang Wu is Co-founder and CTO at Aqueduct, a SaaS startup building machine learning prediction infrastructure. He received his Ph.D. in 2020 from UC Berkeley, advised by Joseph M. Hellerstein. Read more at the link above.

May 24, 2022

CDSS: Sky Computing Lab to revolutionize the cloud industry

UC Berkeley formally launched this week a research lab aimed at building a new backbone for interconnected cloud computing, a milestone that would revolutionize the industry.

May 18, 2022

Ion Stoica to deliver Keynote at Data @Scale 2022

Data @Scale is a technical conference for engineers who are interested in building, operating, and using data systems at scale.

April 13, 2022

From Cloud Computing to Sky Computing: SIGOPS

We consider the future of cloud computing and ask how we might guide it towards a more coherent service we call sky computing. The barriers are more economic than technical, and we propose reciprocal peering as a key enabling step.

Sky Computing, the Next Era After Cloud Computing

Ion and Scott featured in THENEWSTACK