Sky Computing

Towards Utility Computing for the Cloud

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Affiliated Companies

Past Events

Ion Stoica – Featured Projects

u003ch4u003eu003cstrongu003eSkyPilotu003c/strongu003eu003c/h4u003ernu003cspan style=u0022font-weight: 400;u0022u003eTo comply with the increasing number of government regulations about data placement and processing, and to protect themselves against major cloud outages, many users want the ability to easily migrate their workloads between clouds. We propose doing so not by imposing uniform and comprehensive standards, but by creating a fine-grained two-sided market via intercloud brokers. u003c/spanu003eu003ca href=u0022 style=u0022font-weight: 400;u0022u003eSkyPilotu003c/spanu003eu003c/au003eu003cspan style=u0022font-weight: 400;u0022u003e is an intercloud broker that treats the cloud ecosystem not just as a collection of individual and largely incompatible clouds but as a more integrated Sky of Computing. SkyPilot enables users to run Machine Learning and Data Science batch jobs seamlessly on any cloud, reduce cloud costs substantially, tap into best-in-class hardware on different clouds, and enjoy higher resource availability.u003c/spanu003ernrnu0026nbsp;rnu003ch4u003eu003cstrongu003eSkyplaneu003c/strongu003eu003c/h4u003ernCloud applications are increasingly distributing data across multiple regions and cloud providers in response to privacy regulations, to take advantage of specialized hardware, and to prevent vendor lock-in. Unfortunately, wide-area bulk data transfers are often slow and expensive due to egress fees. This work aims to reduce both the latency and the cost of inter-cloud bulk transfer by using a variety of techniques, including overlay routing, multiple instances, multiple TCP connections, and taking advantage of different network tiers. Together, these techniques allow u003ca href=u0022 to significantly improve object transfer throughput and lower the costs.

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Natacha Crooks – Featured Project

u003ch4u003eu003cb data-stringify-type=u0022boldu0022u003eBasilu003c/bu003eu003c/h4u003ernu003ca href=u0022 explores the design of SQL databases with high integrity and decentralized trust. How can traditional functionality like ACID transactions and SQL queries be u003cb data-stringify-type=u0022boldu0022u003eefficientlyu003c/bu003e implemented when trust is decentralized among n distinct parties, of which a subject can misbehave.

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Joseph Gonzalez – Featured Project

u003ch4u003eu003cb data-stringify-type=u0022boldu0022u003eralf u003c/bu003eu003c/h4u003ernWe are exploring the design of feature stores: the emerging class of data systems that bridge model development, training, and inference. Features stores compute, store, and managing the data and derived features at the heart of ML powered applications. u003ca href=u0022 is a feature store for rapidly changing data. Ralf incrementally propagates raw data changes to derived u003cemu003efeature tablesu003c/emu003e which are queryable by downstream applications such as model training and inference.

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Raluca Ada Popa – Featured Project

u003ch4u003eu003cb data-stringify-type=u0022boldu0022u003eMCu003csupu003e2u003c/supu003eu003c/bu003eu003c/h4u003ernu003ca href=u0022 is a platform for running secure analytics and machine learning on encrypted data. With MCu003csupu003e2u003c/supu003e, organizations can safely upload their confidential data to the cloud in encrypted form and securely compute analytics and machine learning without exposing the unencrypted data to the cloud provider. MCu003csupu003e2u003c/supu003e also enables secure collaboration among multiple organizations, where the data owners can use the platform to jointly analyze their collective data without revealing their individual data to each other.

Koushik Sen – Featured Project

u003ch4u003eu003cb data-stringify-type=u0022boldu0022u003eFuzzFactoryu003c/bu003eu003c/h4u003ernu003ca href=u0022 is domain-specific fuzz testing tool that generalizes coverage-guided fuzzing to domain-specific testing goals. FuzzFactory allows users to guide the fuzzer’s search process without having to modify the core search algorithm.

Sky Computing Story

Berkeley’s computer science division has an ongoing tradition of 5-year collaborative research labs. Recent labs included the AMPLab (ended in 2016) and the RISELab. These labs have had significant impact in both academia and industry. Past labs publish their research at top conferences in systems, databases, and machine learning. On the industrial side, AMPLab and RISELab fostered several successful startups (Databricks, Opaque, Ponder, Anyscale, to name a few). We are excited to announce the Berkeley Sky Computing Lab where we will strike to make cloud computing a true commodity.rnu003ch4u003eContextu003c/h4u003ernThe Sky Computing Lab represents the next chapter of data-intensive systems research at Berkeley. Recent years have seen the explosion of cloud computing. Applications are moving their data and computation to the cloud; on-premise services are dying. In doing so, companies have to make difficult choices between the myriad of cloud providers, each with different services or hardware. Lock-in, whether through artificial migration costs, legal constraints or engineering baggage is real. In the Sky Computing Lab, we will leverage distributed systems, programming languages, security, and machine learning to decouple the services that a company wants to implement from the choice of a specific cloud. Much like the Internet today, cloud computing should be an undifferentiated commodity. Applications should run seamlessly on any or multiple clouds.

Sketch drawing of a lightbulb and paper airplane

u003cdiv class=u0022story-right-columnu0022u003ernu003ch4u003eMissionu003c/h4u003ernOur mission in the Sky Computing Lab is to transform the cloud into an undifferentiated commodity and ease application burden. As in previous labs, we’re all in — working on everything from basic research to software development, all in the Berkeley tradition of open publication and open source software. Our founding team consists of experts in distributed systems, machine learning, security and programming languages. We’ll use this space to lay out our ideas and progress as we go.rnu003ch4u003eCommitment to Diversityu003c/h4u003ernSky Computing is guided by Berkeley’s Principles of Community and is committed to providing a safe and caring research environment for every member of our community. We believe that a diverse student body, faculty, and staff are essential to the open exchange of ideas that Sky Computing Lab is founded on.rnrnu003cspan style=u0022font-weight: 400;u0022u003eOur head is in the cloud. We are heading for the SKY. u003c/spanu003ernrnu003c/divu003e

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