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08/13/2023
Optimizing the cloud? Don't train models. Build oracles!
We propose cloud oracles, an alternative to machine learning for online ...
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06/18/2023
Optimizing Stateful Dataflow with Local Rewrites
Optimizing a stateful dataflow language is a challenging task. There are...
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05/24/2023
Invited Paper: Initial Steps Toward a Compiler for Distributed Programs
In the Hydro project we are designing a compiler toolkit that can optimi...
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10/23/2022
Keep CALM and CRDT On
Despite decades of research and practical experience, developers have fe...
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09/16/2022
Operationalizing Machine Learning: An Interview Study
Organizations rely on machine learning engineers (MLEs) to operationaliz...
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05/25/2022
Katara: Synthesizing CRDTs with Verified Lifting
Conflict-free replicated data types (CRDTs) are a promising tool for des...
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05/14/2022
The Sky Above The Clouds
Technology ecosystems often undergo significant transformations as they ...
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04/08/2021
Read-Write Quorum Systems Made Practical
Quorum systems are a powerful mechanism for ensuring the consistency of ...
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03/03/2021
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time
We propose opportunistic evaluation, a framework for accelerating intera...
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01/04/2021
New Directions in Cloud Programming
Nearly twenty years after the launch of AWS, it remains difficult for mo...
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12/31/2020
Scaling Replicated State Machines with Compartmentalization [Technical Report]
State machine replication protocols, like MultiPaxos and Raft, are a cri...
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10/26/2020
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics
Many organizations stand to benefit from pooling their data together in ...
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09/16/2020
A FaaS File System for Serverless Computing
Serverless computing with cloud functions is quickly gaining adoption, b...
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07/18/2020
Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]
State machine replication protocols, like MultiPaxos and Raft, are at th...
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07/11/2020
Optimizing Prediction Serving on Low-Latency Serverless Dataflow
Prediction serving systems are designed to provide large volumes of low-...
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06/12/2020
Hindsight Logging for Model Training
Due to the long time-lapse between the triggering and detection of a bug...
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03/12/2020
A Fault-Tolerance Shim for Serverless Computing
Serverless computing has grown in popularity in recent years, with an in...
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02/29/2020
Bipartisan Paxos: A Modular State Machine Replication Protocol
There is no shortage of state machine replication protocols. From Genera...
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01/14/2020
Cloudburst: Stateful Functions-as-a-Service
Function-as-a-Service (FaaS) platforms and "serverless" cloud computing ...
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01/03/2020
Towards Scalable Dataframe Systems
Dataframes are a popular and convenient abstraction to represent, struct...
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06/28/2019
DIEL: Transparent Scaling for Interactive Visualization
We live in an era of big data and rich data visualization. As data sets ...
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05/10/2019
Selectivity Estimation with Deep Likelihood Models
Selectivity estimation has long been grounded in statistical tools for d...
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01/07/2019
Looking Back at Postgres
This is a recollection of the UC Berkeley Postgres project, which was le...
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01/07/2019
Keeping CALM: When Distributed Consistency is Easy
A key concern in modern distributed systems is to avoid the cost of coor...
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12/10/2018
Serverless Computing: One Step Forward, Two Steps Back
Serverless computing offers the potential to program the cloud in an aut...
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09/20/2018
Chorus: Differential Privacy via Query Rewriting
We present Chorus, a system with a novel architecture for providing diff...
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09/01/2018
Eliminating Boundaries in Cloud Storage with Anna
In this paper, we describe how we extended a distributed key-value store...
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06/05/2018
Making Sense of Asynchrony in Interactive Data Visualizations
Asynchronous interfaces allow users to concurrently issue requests while...
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03/02/2018
CLX: Towards a scalable and comprehensible design of PBE data transformations
Effective data analytics on data collected from the real world usually b...
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12/15/2017
A Berkeley View of Systems Challenges for AI
With the increasing commoditization of computer vision, speech recogniti...
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05/17/2016
