activity
20162026
most citedIntel MPX Explained: An Empirical Study of Intel MPX and Software-based Bounds Checking Approaches

43 citations · 191 across the 35 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.DC2017★ 11 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.CR2017★ 11 cited

Slick: Secure Middleboxes using Shielded Execution

Bohdan Trach, Alfred Krohmer, Sergei Arnautov +3

Cloud computing offers the economies of scale for computational resources with the ease of management, elasticity, and fault tolerance. To take advantage of these benefits, many en…

cs.CR2017★ 43 cited

Intel MPX Explained: An Empirical Study of Intel MPX and Software-based Bounds Checking Approaches

Oleksii Oleksenko, Dmitrii Kuvaiskii, Pramod Bhatotia +2

Memory-safety violations are a prevalent cause of both reliability and security vulnerabilities in systems software written in unsafe languages like C/C++. Unfortunately, all the e…

cs.DC2017★ 15 cited

Privacy Preserving Stream Analytics: The Marriage of Randomized Response and Approximate Computing

Do Le Quoc, Martin Beck, Pramod Bhatotia +3

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation, and evalu…