کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6875052 | 1441470 | 2018 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A proactive approach based on online reliability prediction for adaptation of service-oriented systems
ترجمه فارسی عنوان
یک رویکرد پیشگیرانه بر اساس پیش بینی قابلیت اطمینان آنلاین برای سازگاری سیستم های سرویس گرا
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کلمات کلیدی
پیش بینی قابلیت اطمینان آنلاین، سری زمانی، سازگاری پیشگیرانه، سیستم خدمات گرا سیستم های سیستم،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
چکیده انگلیسی
Service computing is an emerging technology in System of Systems Engineering (SoS Engineering or SoSE), which regards System as a Service (i.e. SaaS), and aims to construct a robust and value-added complex system by outsourcing external component systems through service composition technology. A service-oriented SoS runs under a dynamic and uncertain environment. To successfully deploy SoS's run-time quality assurance, online reliability time series prediction, which aims to predict the reliability in near future for a service-oriented SoS,arises as a grand challenge in SoS research. In this paper, we tackle the prediction challenge by exploiting two novel prediction models. We adopt motifs-based Dynamic Bayesian Networks (or m_DBNs) model to perform one-step-ahead time series prediction, and propose a multi-steps trajectories DBNs (or multi_DBNs) model to further revise the future reliability prediction. Finally, a proactive adaption strategy is achieved based on the reliability prediction results. Extensive experiments conducted on real-world Web services demonstrate that our models outperform other well-known approaches consistently.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Parallel and Distributed Computing - Volume 114, April 2018, Pages 70-84
Journal: Journal of Parallel and Distributed Computing - Volume 114, April 2018, Pages 70-84
نویسندگان
Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng, Zhengping Yang,