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03/01/2023
On the Semantic Overlap of Operators in Stream Processing Engines
Stream processing is extensively used in the IoT-to-Cloud spectrum to di...
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11/25/2021
STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing
Stream processing applications extract value from raw data through Direc...
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02/17/2021
Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence
Stochastic gradient descent (SGD) is an essential element in Machine Lea...
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05/11/2020
Performance Modeling and Vertical Autoscaling of Stream Joins
Streaming analysis is widely used in cloud as well as edge infrastructur...
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11/08/2019
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent
Stochastic Gradient Descent (SGD) is very useful in optimization problem...
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08/27/2018
Piecewise Linear Approximation in Data Streaming: Algorithmic Implementations and Experimental Analysis
Piecewise Linear Approximation (PLA) is a well-established tool to reduc...
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11/06/2017
