کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408269 679015 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
CPU load prediction using neuro-fuzzy and Bayesian inferences
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
CPU load prediction using neuro-fuzzy and Bayesian inferences
چکیده انگلیسی

Ensuring adequate use of the computing resources for highly fluctuating availability in multi-user computational environments requires effective prediction models, which play a key role in achieving application performance for large-scale distributed applications. Predicting the processor availability for scheduling a new process or task in a distributed environment is a basic problem that arises in many important contexts. The present paper aims at developing a model for single-step-ahead CPU load prediction that can be used to predict the future CPU load in a dynamic environment. Our prediction model is based on the control of multiple Local Adaptive Network-based Fuzzy Inference Systems Predictors (LAPs) via the Naïve Bayesian Network inference between clusters states of CPU load time points obtained by the C-means clustering process. Experimental results show that our model performs better and has less overhead than other approaches reported in the literature.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 74, Issue 10, May 2011, Pages 1606–1616
نویسندگان
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