Joseph M. Hellerstein

research

∙ 08/13/2023

Optimizing the cloud? Don't train models. Build oracles!

We propose cloud oracles, an alternative to machine learning for online ...

0 Tiemo Bang, et al. ∙

research

∙ 06/18/2023

Optimizing Stateful Dataflow with Local Rewrites

Optimizing a stateful dataflow language is a challenging task. There are...

0 Shadaj Laddad, et al. ∙

research

∙ 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...

0 Joseph M. Hellerstein, et al. ∙

research

∙ 10/23/2022

Keep CALM and CRDT On

Despite decades of research and practical experience, developers have fe...

0 Shadaj Laddad, et al. ∙

research

∙ 09/16/2022

Operationalizing Machine Learning: An Interview Study

Organizations rely on machine learning engineers (MLEs) to operationaliz...

9 Shreya Shankar, et al. ∙

research

∙ 05/25/2022

Katara: Synthesizing CRDTs with Verified Lifting

Conflict-free replicated data types (CRDTs) are a promising tool for des...

0 Shadaj Laddad, et al. ∙

research

∙ 05/14/2022

The Sky Above The Clouds

Technology ecosystems often undergo significant transformations as they ...

0 Sarah Chasins, et al. ∙

research

∙ 04/08/2021

Read-Write Quorum Systems Made Practical

Quorum systems are a powerful mechanism for ensuring the consistency of ...

0 Michael Whittaker, et al. ∙

research

∙ 03/03/2021

Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time

We propose opportunistic evaluation, a framework for accelerating intera...

0 Doris Xin, et al. ∙

research

∙ 01/04/2021

New Directions in Cloud Programming

Nearly twenty years after the launch of AWS, it remains difficult for mo...

0 Alvin Cheung, et al. ∙

research

∙ 12/31/2020

Scaling Replicated State Machines with Compartmentalization [Technical Report]

State machine replication protocols, like MultiPaxos and Raft, are a cri...

0 Michael Whittaker, et al. ∙

research

∙ 10/26/2020

Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics

Many organizations stand to benefit from pooling their data together in ...

0 Rishabh Poddar, et al. ∙

research

∙ 09/16/2020

A FaaS File System for Serverless Computing

Serverless computing with cloud functions is quickly gaining adoption, b...

0 Johann Schleier-Smith, et al. ∙

research

∙ 07/18/2020

Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]

State machine replication protocols, like MultiPaxos and Raft, are at th...

0 Michael Whittaker, et al. ∙

research

∙ 07/11/2020

Optimizing Prediction Serving on Low-Latency Serverless Dataflow

Prediction serving systems are designed to provide large volumes of low-...

0 Vikram Sreekanti, et al. ∙

research

∙ 06/12/2020

Hindsight Logging for Model Training

Due to the long time-lapse between the triggering and detection of a bug...

0 Rolando Garcia, et al. ∙

research

∙ 03/12/2020

A Fault-Tolerance Shim for Serverless Computing

Serverless computing has grown in popularity in recent years, with an in...

0 Vikram Sreekanti, et al. ∙

research

∙ 02/29/2020

Bipartisan Paxos: A Modular State Machine Replication Protocol

There is no shortage of state machine replication protocols. From Genera...

0 Michael Whittaker, et al. ∙

research

∙ 01/14/2020

Cloudburst: Stateful Functions-as-a-Service

Function-as-a-Service (FaaS) platforms and "serverless" cloud computing ...

0 Vikram Sreekanti, et al. ∙

research

∙ 01/03/2020

Towards Scalable Dataframe Systems

Dataframes are a popular and convenient abstraction to represent, struct...

0 Devin Petersohn, et al. ∙

research

∙ 06/28/2019

DIEL: Transparent Scaling for Interactive Visualization

We live in an era of big data and rich data visualization. As data sets ...

0 Yifan Wu, et al. ∙

research

∙ 05/10/2019

Selectivity Estimation with Deep Likelihood Models

Selectivity estimation has long been grounded in statistical tools for d...

0 Zongheng Yang, et al. ∙

research

∙ 01/07/2019

Looking Back at Postgres

This is a recollection of the UC Berkeley Postgres project, which was le...

0 Joseph M. Hellerstein, et al. ∙

research

∙ 01/07/2019

Keeping CALM: When Distributed Consistency is Easy

A key concern in modern distributed systems is to avoid the cost of coor...

0 Joseph M. Hellerstein, et al. ∙

research

∙ 12/10/2018

Serverless Computing: One Step Forward, Two Steps Back

Serverless computing offers the potential to program the cloud in an aut...

0 Joseph M. Hellerstein, et al. ∙

research

∙ 09/20/2018

Chorus: Differential Privacy via Query Rewriting

We present Chorus, a system with a novel architecture for providing diff...

0 Noah Johnson, et al. ∙

research

∙ 09/01/2018

Eliminating Boundaries in Cloud Storage with Anna

In this paper, we describe how we extended a distributed key-value store...

0 Chenggang Wu, et al. ∙

research

∙ 06/05/2018

Making Sense of Asynchrony in Interactive Data Visualizations

Asynchronous interfaces allow users to concurrently issue requests while...

0 Yifan Wu, et al. ∙

research

∙ 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...

0 Zhongjun Jin, et al. ∙

research

∙ 12/15/2017

A Berkeley View of Systems Challenges for AI

With the increasing commoditization of computer vision, speech recogniti...

0 Ion Stoica, et al. ∙

research

∙ 05/17/2016

Naughton's Wisconsin Bibliography: A Brief Guide

Over nearly three decades at the University of Wisconsin, Jeff Naughton ...

0 Joseph M. Hellerstein, et al. ∙

Joseph M. Hellerstein

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