Operations Support Systems, Implication of Software Error- Log messages on GSM/GPRS Network Performance

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2015 by IJPTT Journal
	Volume - 5 Issue - 4
	Year of Publication : 2015
	Authors : Otori, A. Uye; Adetiba, O. Ekundayo; Ali, John; John, H. Mormi
	DOI :  10.14445/22492615/IJPTT-V20P401

Citation

Otori, A. Uye; Adetiba, O. Ekundayo; Ali, John; John, H. Mormi "Operations Support Systems, Implication of Software Error- Log messages on GSM/GPRS Network Performance". International Journal of P2P Network Trends and Technology (IJPTT), V5(4):1-7 July - Aug 2015, ISSN:2249-2615, www.ijpttjournal.org, Published by Seventh Sense Research Group.

Abstract

GSM/GPRS Network faults dynamic feature can be utilized in the field of Trend/statistical analysis of the error-log message summary for both the Base Station Subsystems and Mobile Switching Centers by comparing the relationship between the twin parameters of Frequency of Occurrence and the Mean Time to Repair (MTTR) each fault type. The Fault Trend Analysis shows that as the number of times a particular fault type occur increases the Mean Time to Repair such faults decreases, with some deviation from this trend in some cases when we classified them as high priority faults with serious impact on network performance and those that have little or no impact on network performance. Filtering and Correlation are two methods we used to simplify the separation of the principal alarms and redundant alarms from their side effect on network performance. A method called Tupling is used to filter and correlate the large volume of error-log message covering a period of three months from Airtel’s network with the resulting summary analysed. The result could be used to reduce total downtime and improve quality of Service (QOS) as per Service Level Agreement.

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Keywords
Fault Management, Mean Time to Repair, Tupling, Fault Trend Analysis and Alarms.