USENIX | The Advanced Computing Systems Association

Metis: Robustly Tuning Tail Latencies of Cloud Systems

Li ZLucis, Liang C-JMike, He W, Zhu L, Dai W, Jiang J, Sun G. 2018. Metis: Robustly Tuning Tail Latencies of Cloud Systems. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :981--992.

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Siphon: Expediting {Inter-Datacenter} Coflows in {Wide-Area} Data Analytics

Liu S, Chen L, Li B. 2018. Siphon: Expediting {Inter-Datacenter} Coflows in {Wide-Area} Data Analytics. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :507--518.

Troubleshooting {Transiently-Recurring} Errors in Production Systems with {Blame-Proportional} Logging

Luo L, Nath S, Sivalingam LRavindrana, Musuvathi M, Ceze L. 2018. Troubleshooting {Transiently-Recurring} Errors in Production Systems with {Blame-Proportional} Logging. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :321--334.

{Kernel-Supported} {Cost-Effective} Audit Logging for Causality Tracking

Ma S, Zhai J, Kwon Y, Lee KHyung, Zhang X, Ciocarlie G, Gehani A, Yegneswaran V, Xu D, Jha S. 2018. {Kernel-Supported} {Cost-Effective} Audit Logging for Causality Tracking. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :241--254.

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Accurate Timeout Detection Despite Arbitrary Processing Delays

Ma S, Wang Y. 2018. Accurate Timeout Detection Despite Arbitrary Processing Delays. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :467--480.

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Closing the Performance Gap Between Volatile and Persistent {Key-Value} Stores Using {Cross-Referencing} Logs

Huang Y, Pavlovic M, Marathe V, Seltzer M, Harris T, Byan S. 2018. Closing the Performance Gap Between Volatile and Persistent {Key-Value} Stores Using {Cross-Referencing} Logs. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :967--979.

{SOCK}: Rapid Task Provisioning with {Serverless-Optimized} Containers

Oakes E, Yang L, Zhou D, Houck K, Harter T, Arpaci-Dusseau A, Arpaci-Dusseau R. 2018. {SOCK}: Rapid Task Provisioning with {Serverless-Optimized} Containers. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :57--70.

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How to Successfully Harness Machine Learning to Combat Fraud and Abuse

Bursztein E. 2018. How to Successfully Harness Machine Learning to Combat Fraud and Abuse.

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Automating the Discovery and Investigation of Targeted Attacks with {AI} and Machine Learning

Borgia A. 2018. Automating the Discovery and Investigation of Targeted Attacks with {AI} and Machine Learning.

Enterprise Scale Machine Learning For Detecting Email Based Attacks

Bruss B. 2018. Enterprise Scale Machine Learning For Detecting Email Based Attacks.

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