کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4956435 | 1444518 | 2017 | 28 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Distributed analysis and filtering of application event streams
ترجمه فارسی عنوان
تجزیه و تحلیل توزیع شده و فیلتر کردن جریان رویداد برنامه
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کلمات کلیدی
مهندسی نرم افزار، درک سیستم، تجزیه و تحلیل پویا، فیلتر جریان رویداد، تئوری اطلاعات،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Large information systems comprise different interconnected hardware and software components, that collectively generate large volumes of data. Furthermore, the run-time analysis of such data involves computationally expensive algorithms, and is pivotal to a number of software engineering activities such as, system understanding, diagnostics, and root cause analysis. In a quest to increase the performance of run-time analysis for large sets of logged data, we present an approach that allows for the real time reduction of one or more event streams by utilizing a set of filtering criteria. More specifically, the approach employs a similarity measure that is based on information theory principles, and is applied between the features of the incoming events, and the features of a set of retrieved or constructed events, that we refer to as beacons. The proposed approach is domain and event schema agnostic, can handle infinite data streams using a caching algorithm, and can be parallelized in order to tractably process high volume, high frequency, and high variability data. Experimental results obtained using the KDD'99 and CTU-13 labeled data sets, indicate that the approach is scalable, and can yield highly reduced sets with high recall values with respect to a use case.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 129, July 2017, Pages 1-25
Journal: Journal of Systems and Software - Volume 129, July 2017, Pages 1-25
نویسندگان
Theodoros Kalamatianos, Kostas Kontogiannis,