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http://dx.doi.org/10.9728/dcs.2017.18.4.747

Server Management Prediction System based on Network Log and SNMP  

Moon, Sung-Joo (Department of Computer Engineering, Wonkwang University)
Publication Information
Journal of Digital Contents Society / v.18, no.4, 2017 , pp. 747-751 More about this Journal
Abstract
The log has variable informations that are important and necessary to manage a network when accessed to network servers. These informations are used to reduce a cost and efficient manage a network through the meaningful prediction information extraction from the amount of user access. And, the network manager can instantly monitor the status of CPU, memory, disk usage ratio on network using the SNMP. In this paper, firstly, we have accumulated and analysed the 6 network logs and extracted the informations that used to predict the amount of user access. And then, we experimented the prediction simulation with the time series analysis such as moving average method and exponential smoothing. Secondly, we have simulated the usage ration of CPU, memory, and disk using Xian SNMP simulator and extracted the OID for the time series prediction of CPU, memory, and disk usage ration. And then, we presented the visual result of the variable experiments through the Excel and R programming language.
Keywords
network log analysis; SNMP; bigdata analysis; time-series analysis;
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