Resource load prediction in computer cloud using Elman networks teached by artificial immune systems

R.I. Khantimirov

Resource load prediction in computer cloud using Elman networks teached by artificial immune systems

research article Pages: 59-64

¹ Post-graduate Student, Moscow State University of Economics, Statistics and Informatics

Keywords: cloud computing infrastructure-as-a-service (IaaS)load prediction in cloud environments artificial neural network artificial immune system (AIS)

Abstract

A new approach to forecast resource load in computer clouds is proposed, based on Elman networks teached by artificial im-mune systems.

How to cite

Хантимиров Р.И. Прогнозирование нагрузки в облачной вычислительной среде с использованием нейросетей Элмана, обу-чаемых системой искусственного иммунитета // Нейрокомпьютеры: разработка, применение. 2015. № 3. С. 59–64.

References

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[1] KHantimirov R.I.Zadacha vydelenija resursov v oblachnykh sredakh na osnove metoda analiza ierarkhijj [v pechati].

[2] Zhen Xiao, Weija Song and Qu Chen. Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment // IEEE transaction on parallel and distributed systems (TPDS). June, 2013.

[3] Nazarov A.V., Loskutov A.I. Nejjrosetevye algoritmy prognozirovanija i optimizacii sistem. SPb.: Nauka i tekhnika. 2003. 384s.

[4] Vasilev V.I.Intellektualnye sistemy zashhity informacii. Izd. 2-e. M.: Mashinostroenie. 2013. 171 s.

[5] EHshbi U.R.Vvedenie v kibernetiku: per s angl. Izd. 2-e. M.: Mir. 1991. 586 s.

[6] Yu L., Wang S., Lai K. K.Credit risk assessment with a multistage neural network ensemble learning approach // Expert System with Applications. 2008. № 34. S. 1434-1444.

[7] Bouirouga et al. Comparison of performance between different SVM kernels for the identification of adult video // World Acad. Sci. Eng. Technol. 2011. № 77. S. 37-40.

[8] Elman J. Finding structure in time // Cognitive Science. 1990. V. 14. № 2. S. 179-211.

[9] Lin F.J. et al. Recurrent wavelet-based Elman neural network control for multi-axis motion control stage using linear ultrasonic motors // IET Electr. Power Appl. 2010. V. 4. № 5. S. 314-332.

[10] Sanjib Mishra. Short Term Load Forecasting Using Computational Intelligence Methods. Department of Electronics and Communication Engineering National Institute of Technology. Rourkela. 2008. C. 53-62.

[11] Rozhnov A.V.Nekotorye problemnye voprosy sistemnojj integracii napravlenijj nauchnojj dejatelnosti v zadachakh nejjrokompjutinga // Nejjrokompjutery: razrabotka, primenenie. 2014. № 1. S. 3-10.

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