Performance Prediction Method for Stream Computing Platform Based on Time Series
نویسندگان
چکیده
As one of the most popular high-performance data processing technology, existing task and resource scheduling strategies for stream computing platforms are suffering from problem triggering hysteresis, which seriously affects cluster performance. To address this problem, idea performance prediction based on timeline series is proposed. Firstly, variation rule platform analyzed, provides a basis proposing model. Secondly, basic topology paradigm, periodic load model, real-time throughput model proposed as theoretical foundation prediction. Thirdly, algorithm to predict trend cluster. The predicted periodically while in manner. Finally, evaluation evaluate results trigger corresponding advance. experimental showed that accuracy meets requirements practical applications. Meanwhile, method improves by
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3079207