期刊名称：International Journal of Wireless & Mobile Networks
印刷版ISSN：0975-4679
电子版ISSN：0975-3834
出版年度：2013
卷号：5
期号：4
DOI：10.5121/ijwmn.2013.5408
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Cellular networks monitoring and management tasks are based on huge amounts of continuously collecteddata from network elements and devices. Log files are used to store this data, but it might need toaccumulate millions of lines in one day. The standardname of this log is inGPEH format which stands forGeneral Performance Event Handling.This log is usually recorded in a binary format (bin). Thus, efficientand fast compression technique is considered as one of the main aspects targeting the storage capabilities.On the other hand, based on our experience, we noticed that experts and network engineers are notinterested in each log entry. In addition, this massive burst of entries can lose important information;especially those translated into performance abnormalities. Thus, summarizing log files would bebeneficial in specifying the different problems on certain elements, the overall performance and theexpected network future state. In this paper, we introduce an efficient compression algorithm basedlogfrequent patterns. In addition, we propose a Mixed Mode Summary-based Lossless Compression Techniquefor Mobile Networks log files (MMSLC) as a mixed on-line and off-line compression modes based on thesummary extracted from the frequent patterns. Ourscheme exploits the strong correlation between thedirectly and consecutively recorded bin files for utilizing the online compression mode. On the other hand,it uses the famous "Apriori Algorithm" to extract the frequent patterns from the current file inoffline mode.Our proposed scheme is proved to gain high compression ratios in fast speed as well as help in extractingbeneficial information from the recorded data.
