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20162021
most citedsecureTF: A Secure TensorFlow Framework

37 citations · 90 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.DC20212 cited

T-Lease: A Trusted Lease Primitive for Distributed Systems

Bohdan Trach, Rasha Faqeh, Oleksii Oleksenko +3

A lease is an important primitive for building distributed protocols, and it is ubiquitously employed in distributed systems. However, the scope of the classic lease abstraction is…

cs.DC2018

Approximate Distributed Joins in Apache Spark

Do Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia +4

The join operation is a fundamental building block of parallel data processing. Unfortunately, it is very resource-intensive to compute an equi-join across massive datasets. The ap…

cs.DC2018

Approximate Edge Analytics for the IoT Ecosystem

Zhenyu Wen, Do Le Quoc, Pramod Bhatotia +2

IoT-enabled devices continue to generate a massive amount of data. Transforming this continuously arriving raw data into timely insights is critical for many modern online services…

cs.DC201711 cited

Sieve: Actionable Insights from Monitored Metrics in Microservices

Jörg Thalheim, Antonio Rodrigues, Istemi Ekin Akkus +5

Major cloud computing operators provide powerful monitoring tools to understand the current (and prior) state of the distributed systems deployed in their infrastructure. While suc…

cs.DC2017

Approximate Stream Analytics in Apache Flink and Apache Spark Streaming

Do Le Quoc, Ruichuan Chen, Pramod Bhatotia +3

Approximate computing aims for efficient execution of workflows where an approximate output is sufficient instead of the exact output. The idea behind approximate computing is to c…

cs.DC2016

Inspector: A Data Provenance Library for Multithreaded Programs

Jörg Thalheim, Pramod Bhatotia, Christof Fetzer

Data provenance strives for explaining how the computation was performed by recording a trace of the execution. The provenance trace is useful across a wide-range of workflows to i…