کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6885387 | 1444510 | 2018 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Metric selection and anomaly detection for cloud operations using log and metric correlation analysis
ترجمه فارسی عنوان
انتخاب متریک و تشخیص ناهنجاری برای عملیات ابر با استفاده از تجزیه و تحلیل همبستگی منطقی و متریک
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کلمات کلیدی
عملیات ابر عملیات، نظارت بر ابر، انتخاب متریک، تشخیص آنومالی، شناسایی خطا، تجزیه و تحلیل ورود،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Cloud computing systems provide the facilities to make application services resilient against failures of individual computing resources. However, resiliency is typically limited by a cloud consumer's use and operation of cloud resources. In particular, system operations have been reported as one of the leading causes of system-wide outages. This applies specifically to DevOps operations, such as backup, redeployment, upgrade, customized scaling, and migration - which are executed at much higher frequencies now than a decade ago. We address this problem by proposing a novel approach to detect errors in the execution of these kinds of operations, in particular for rolling upgrade operations. Our regression-based approach leverages the correlation between operations' activity logs and the effect of operation activities on cloud resources. First, we present a metric selection approach based on regression analysis. Second, the output of a regression model of selected metrics is used to derive assertion specifications, which can be used for runtime verification of running operations. We have conducted a set of experiments with different configurations of an upgrade operation on Amazon Web Services, with and without randomly injected faults to demonstrate the utility of our new approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 137, March 2018, Pages 531-549
Journal: Journal of Systems and Software - Volume 137, March 2018, Pages 531-549
نویسندگان
Mostafa Farshchi, Jean-Guy Schneider, Ingo Weber, John Grundy,