activity
20182020
most citedServerless Computing: One Step Forward, Two Steps Back

232 citations · 472 across the 5 of their papers we have counts for

collaborators

7 papers

cs.DC2020★ 6 cited

Optimizing Prediction Serving on Low-Latency Serverless Dataflow

Vikram Sreekanti, Harikaran Subbaraj, Chenggang Wu +2

Prediction serving systems are designed to provide large volumes of low-latency inferences machine learning models. These systems mix data processing and computationally intensive…

cs.DC2020★ 5 cited

Hindsight Logging for Model Training

Rolando Garcia, Eric Liu, Vikram Sreekanti +5

In modern Machine Learning, model training is an iterative, experimental process that can consume enormous computation resources and developer time. To aid in that process, experie…

cs.DC2020

A Fault-Tolerance Shim for Serverless Computing

Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati +3

Serverless computing has grown in popularity in recent years, with an increasing number of applications being built on Functions-as-a-Service (FaaS) platforms. By default, FaaS pla…

cs.DC2020★ 227 cited

Cloudburst: Stateful Functions-as-a-Service

Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin +5

Function-as-a-Service (FaaS) platforms and "serverless" cloud computing are becoming increasingly popular. Current FaaS offerings are targeted at stateless functions that do minima…

cs.OS2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing

Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti +11

Serverless cloud computing handles virtually all the system administration operations needed to make it easier for programmers to use the cloud. It provides an interface that great…

cs.DC2018★ 232 cited

Serverless Computing: One Step Forward, Two Steps Back

Joseph M. Hellerstein, Jose Faleiro, Joseph E. Gonzalez +4

Serverless computing offers the potential to program the cloud in an autoscaling, pay-as-you go manner. In this paper we address critical gaps in first-generation serverless comput…

cs.DB2018★ 2 cited

Eliminating Boundaries in Cloud Storage with Anna

Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein

In this paper, we describe how we extended a distributed key-value store called Anna into an elastic, multi-tier service for the cloud. In its extended form, Anna is designed to ov…