کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6875036 | 1441468 | 2018 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Harnessing sliding-window execution semantics for parallel stream processing
ترجمه فارسی عنوان
استفاده از معادله اکسل کشویی برای پردازش جریان موازی
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کلمات کلیدی
پردازش داده ها، اینترنت چیزها، پرس و جوهای مستمر، پنجره های کشویی، محاسبات موازی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
چکیده انگلیسی
According to the recent trend in data acquisition and processing technology, big data are increasingly available in the form of unbounded streams of elementary data items to be processed in real-time. In this paper we study in detail the paradigm of sliding windows, a well-known technique for approximated queries that update their results continuously as new fresh data arrive from the stream. In this work we focus on the relationship between the various existing sliding window semantics and the way the query processing is performed from the parallelism perspective. From this study two alternative parallel models are identified, each covering semantics with very precise properties. Each model is described in terms of its pros and cons, and parallel implementations in the FastFlow framework are analyzed by discussing the layout of the concurrent data structures used for the efficient windows representation in each model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Parallel and Distributed Computing - Volume 116, June 2018, Pages 74-88
Journal: Journal of Parallel and Distributed Computing - Volume 116, June 2018, Pages 74-88
نویسندگان
Gabriele Mencagli, Massimo Torquati, Fabio Lucattini, Salvatore Cuomo, Marco Aldinucci,