183 citations · 282 across the 9 of their papers we have counts for
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cs.DC2019
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra +5
Services hosted in multi-tenant cloud platforms often encounter performance interference due to contention for non-partitionable resources, which in turn causes unpredictable behav…
cs.DC2019★ 71 cited
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services
Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang +3
Pre-trained deep learning models are increasingly being used to offer a variety of compute-intensive predictive analytics services such as fitness tracking, speech and image recogn…