Deep Recurrent Model for Server Load and Performance Prediction in Data Center

المؤلفون المشاركون

Huang, Zheng
Peng, Jiajun
Lian, Huijuan
Guo, Jie
Qiu, Weidong

المصدر

Complexity

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-11-26

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الفلسفة

الملخص EN

Recurrent neural network (RNN) has been widely applied to many sequential tagging tasks such as natural language process (NLP) and time series analysis, and it has been proved that RNN works well in those areas.

In this paper, we propose using RNN with long short-term memory (LSTM) units for server load and performance prediction.

Classical methods for performance prediction focus on building relation between performance and time domain, which makes a lot of unrealistic hypotheses.

Our model is built based on events (user requests), which is the root cause of server performance.

We predict the performance of the servers using RNN-LSTM by analyzing the log of servers in data center which contains user’s access sequence.

Previous work for workload prediction could not generate detailed simulated workload, which is useful in testing the working condition of servers.

Our method provides a new way to reproduce user request sequence to solve this problem by using RNN-LSTM.

Experiment result shows that our models get a good performance in generating load and predicting performance on the data set which has been logged in online service.

We did experiments with nginx web server and mysql database server, and our methods can been easily applied to other servers in data center.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Huang, Zheng& Peng, Jiajun& Lian, Huijuan& Guo, Jie& Qiu, Weidong. 2017. Deep Recurrent Model for Server Load and Performance Prediction in Data Center. Complexity،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143556

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Huang, Zheng…[et al.]. Deep Recurrent Model for Server Load and Performance Prediction in Data Center. Complexity No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1143556

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Huang, Zheng& Peng, Jiajun& Lian, Huijuan& Guo, Jie& Qiu, Weidong. Deep Recurrent Model for Server Load and Performance Prediction in Data Center. Complexity. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143556

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1143556