A Method for Compressing Event Log Data Based on Combinatorial Generation Using AND/OR Tree Structures
The exponential growth in the volume of digital information produced by modern society entails the problem of storing large amounts of data, including archival data. Archival data refers to the category of “cold” data (data that requires storage, but is rarely used). A clear example of this type of...
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| Format: | Article |
| Language: | Russian |
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The Fund for Promotion of Internet media, IT education, human development «League Internet Media»
2023-10-01
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| Series: | Современные информационные технологии и IT-образование |
| Subjects: | |
| Online Access: | http://sitito.cs.msu.ru/index.php/SITITO/article/view/988 |
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| Summary: | The exponential growth in the volume of digital information produced by modern society entails the problem of storing large amounts of data, including archival data. Archival data refers to the category of “cold” data (data that requires storage, but is rarely used). A clear example of this type of archival data is data from event logs, which contain a brief description of events that occurred in the information system in chronological order. Due to the large amount of archival data and its rare use, it is relevant to store such data in compressed form. This article discusses the problem of developing a method for compressing archival data using the example of event log data by applying combinatorial generation algorithms. In particular, if we fix some current state of the event log, then the set of its entries can be considered as a combinatorial set. Then, using an algorithm for ranking elements of the combinatorial set, each event log entry can be encoded with a single number, which will require less memory to store. Based on this idea, a method for compressing event log data based on combinatorial generation using AND/OR tree structures is proposed. To evaluate the effectiveness of the proposed method, an example of compressing event log data generated within Moodle electronic courses is considered. The results of the experimental study confirmed the effectiveness of the proposed method: the total amount of memory required to store the event log of a Moodle electronic course in the compressed form is less compared to the existing methods for compressing text files. |
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| ISSN: | 2411-1473 |