71 citations · 94 across the 6 of their papers we have counts for
6 papers
The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems
Lei Zhang, Vaastav Anand, Zhiqiang Xie +2
Today's distributed tracing frameworks are ill-equipped to troubleshoot rare edge-case requests. The crux of the problem is a trade-off between specificity and overhead. On the one…
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up
Arpan Gujarati, Reza Karimi, Safya Alzayat +4
Machine learning inference is becoming a core building block for interactive web applications. As a result, the underlying model serving systems on which these applications depend…
Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification
Caleb Ziems, Ymir Vigfusson, Fred Morstatter
Cyberbullying is a pervasive problem in online communities. To identify cyberbullying cases in large-scale social networks, content moderators depend on machine learning classifier…
A Bayesian framework for molecular strain identification from mixed diagnostic samples
Lauri Mustonen, Xiangxi Gao, Asteroide Santana +3
We provide a mathematical formulation and develop a computational framework for identifying multiple strains of microorganisms from mixed samples of DNA. Our method is applicable i…
MITHRIL: Mining Sporadic Associations for Cache Prefetching
Juncheng Yang, Reza Karimi, Trausti Sæmundsson +2
The growing pressure on cloud application scalability has accentuated storage performance as a critical bottle- neck. Although cache replacement algorithms have been extensively st…
Wireless Scheduling Algorithms in Complex Environments
Helga Gudmundsdottir, Eyjólfur I Ásgeirsson, Marijke H. L. Bodlaender +3
Efficient spectrum use in wireless sensor networks through spatial reuse requires effective models of packet reception at the physical layer in the presence of interference. Despit…