Cited By
View all- Liu XBuyya R(2020)Resource Management and Scheduling in Distributed Stream Processing SystemsACM Computing Surveys10.1145/335539953:3(1-41)Online publication date: 28-May-2020
In recent years there has been a surge in applications focusing on streaming data to generate insights in real-time. Both academia, as well as industry, have tried to address this use case by developing a variety of Stream Processing Engines (SPEs) with ...
We present the first Utility Accrual (or UA) real-time scheduling algorithm for multiprocessors, called the global Multiprocessor Utility Accrual scheduling algorithm (or gMUA). The algorithm considers an application model where real-time activities are ...
Stream processing is a popular paradigm to continuously process huge amounts of data. Runtime adaptation plays a significant role in supporting the optimization of data processing tasks. In recent years runtime ...
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