• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.39-45
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• 2016

In this paper, we propose a log management service model for efficient developments of android applications. The proposed model consists of two major parts which are the log collector and the log manager service. The log collector can capture the log information of a target application without modifications, because the collector is composed by aspect-oriented programming. The collected logs are transformed to chunk of data, and the chunk of data is sent to the log management service. The log management service is an android service component and an independent application in another process. So, the log management service can reduce the workload of logging in the target application. Through a case study, we show that the proposed log management service model can reduce the log processing time compared to other models without modifications of a target application.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.39-45
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• 2011

Application log files contain error messages; operational data and usage information that can help manage applications and servers. Log analysis system is software that read and parse log files, extract and aggregate information in order to generate reports on the application. In currently, the importance of log files of firewalls is growing bigger and bigger for the forensics of cyber crimes and the establishment of security policy. In this paper, we designed and implemented the SILAS(SysLog-based Integrated Log mAanagement System) in distribute network environments. It help to generate reports on the the log fires of firewalls - IP and users, and statistics of application usage.

• Journal of the Korea Society of Computer and Information
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• v.21 no.10
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• pp.69-76
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• 2016

In this paper, we propose a real-time remote logging model for development of android applications using LBS(Location based Service). The model has two major parts: Mobile Log Management Service and Remote Log Server. Mobile Log Management Service consists of the log collector and the remote log manager. The log collector is an aspect of AOP which can collect logs from the target application without modifications of source codes. The remote log manager has a background service component so that it can receive logs whenever the log collector captures logs from the target application. Remote Log Server communicates with Mobile Log Management Service by socket interface. Therefore, Remote Log Server can show logs in real-time. To validate the efficiency of the proposed model, we show a case study, and compare the model with other models.

• Korean journal of food and cookery science
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• v.28 no.5
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• pp.515-530
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• 2012

This research aims to audit foodservice sanitation management practices and to assess microbiological quality of foods and their food contact environments in kindergartens. Sanitation auditing was conducted in 10 kindergartens in Seoul, Gyeonggi, and Incheon areas to assess the levels of safety practices. Results revealed that the surveyed kindergartens scored 41.4 out of 100 points, on average. The average scores of each category were 6.4/11 (58.1%) for facilities sanitation, 4.2/12 (35.0%) for equipment sanitation, 2.4/10 (24.0%) for personal hygiene, 5.1/10 (51.0%) for food ingredients management, 6.0/17 (35.3%) for production process, 5.4/10 (54.0%) for environmental sanitation, 2.0/6 (33.3%) for kitchen utensils sanitation, and 2.2/6 (96.7%) for safety management. Microbiological quality of raw, prepared foods, personal sanitation (hands), environmental sanitation, and drinking water were assessed. Total plate counts (TPC) of the following menus exceeded the critical limit: seasoned leek (5 log CFU/g), cucumber (5.0 log CFU/g), panbroiled fish paste (TNTC at $10^4$), tangpyeongchae (5.3 log CFU/g), egg rolls (6.1 log CFU/g), panbroiled sausage (TNTC at $10^4$), and soft tofu pot stew (TNTC at $10^4$). Coliform which exceeded the standard limit were detected from seasoned leek (2 log CFU/g), cucumber (2.5 log CFU/g), panbroiled fish paste (2.0 log CFU/g), egg roll (3.8 log CFU/g), tangpyeongchae (4.0 log CFU/g), panbroiled sausage (2.3 log CFU/g), and soft tofu pot stew (3.7 log CFU/g). For seasoned foods (muchim), S. aureus ranged 2.2~2.9 log CFU/g. In food workers' hands, microbial profiles ranged 3.8~7.9 log CFU/hand for TPC, ND~4.5 log CFU/hand for coliforms, ND~4.7 log CFU/hand for S. aureus, and ND~5.3 log CFU/hand for Enterobacteriaceae. Microbiological profiles of food contact surface of knives, cutting boards, dish-clothes, and trays showed possibilities of cross-contamination. General bacteria were 2.1~4.5 logCFU/ml in 4 purified water samples and E. coli were found in the kitchen of one kindergarten. These results suggested that environmental sanitation management practices need more strict improvement: effective sanitation education methods and practices were strongly required, and more strict sanitation management for cooking utensils and equipment were required.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.39-42
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• 2018

Log analysis and monitoring have a significant importance in most of the systems. Log management has core importance in applications like distributed applications, cloud based applications, and applications designed for big data. These applications produce a large number of log files which contain essential information. This information can be used for log analytics to understand the relevant patterns from varying log data. However, they need some tools for the purpose of parsing, storing, and visualizing log informations. "Elasticsearch, Logstash, and Kibana"(ELK Stack) is one of the most popular analyzing tools for log management. For the ingestion of log files configuration files have a key importance, as they cover all the services needed to input, process, and output the log files. However, creating configuration files is sometimes very complicated and time consuming in many applications as it requires domain expertise and manual creation. In this paper, an auto configuration module for Logstash is proposed which aims to auto generate the configuration files for Logstash. The primary purpose of this paper is to provide a mechanism, which can be used to auto generate the configuration files for corresponding log files in less time. The proposed module aims to provide an overall efficiency in the log management system.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.1
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• pp.33-41
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• 2016

Big data management is becoming an increasingly important issue in both industry and academia of information science community today. One of the important categories of big data generated from software systems is log data. Log data is generally used for better services in various service providers and can also be used to improve system reliability. In this paper, we propose a novel big data management architecture specialized for log data. The proposed architecture provides a scalable log management system that consists of client and server side modules for efficient handling of log data. To support large and simultaneous log data from multiple clients, we adopt the Hadoop infrastructure in the server-side file system for storing and managing log data efficiently. We implement the proposed architecture to support various client environments and validate the efficiency through measurement studies. The results show that the proposed architecture performs better than the existing logging architecture by 42.8% on average. All components of the proposed architecture are implemented based on open source software and the developed prototypes are now publicly available.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.215-222
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• 2013

NAND flash memory-based Solid State Drives (SSD) have lots of merits compared to traditional hard disk drives (HDD). However, random write in SSD is still far slower than sequential read/write and random read. There are two independent approaches to resolve this problem: 1) using part of the flash memory blocks as log blocks, and 2) using internal write buffer (DRAM or Non-Volatile RAM) in SSD. While log blocks are managed by the Flash Translation Layer (FTL), write buffer management has been treated separately from FTL. Write buffer management schemes did not use the exact status of log blocks and log block management schemes in FTL did not consider the behavior of write buffer management scheme. In this paper, we first show that log blocks and write buffer have a tight relationship to each other, which necessitates integrated management of both of them. Since log blocks also can be viewed as another type of write buffer, we can manage both of them as an integrated write buffer. Then we provide three design criteria for the integrated write buffer management scheme which can be very useful to SSD firmware designers.

• Journal of Information Technology and Architecture
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• v.11 no.1
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• pp.25-32
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• 2014

Web mining techniques are often used to discover useful patterns from data log generated by Web servers for the purpose of web usage analysis. Yet traditional Web mining techniques do not reflect sufficiently sequential properties of Web log data. To address such weakness, we introduce a framework for analyzing Web access log data by using process mining techniques. To illustrate the proposed framework, we show the analysis of Web access log in a campus information system based on the framework and discuss the implication of the analysis result.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.17-27
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• 2012

Most of the current cultivation log is recorded by growers manually or whose environment information is input based on the grower's own judgement. It is not easy for growers to record the image of disease and insect pests in the cultivation log. In this regards, u-Farm cultivation log management system based on Web 2.0 and smart phone is introduced in this paper, that is used for the effective cultivation management and grower's convenience. In the system, the value of environment information is transmitted to servers via sensors. It designs and implements Web 2.0 Flex so as to make the cultivation log more reliable and provide users with active, convenient GUI in case the log is recorded by desktop. In this process, detailed modules are designed by object-oriented UML considering the reusability and maintenance of the system. Moreover, the system introduced in this paper is proved to be more excellent by the qualitative assessment compared with the other researches.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.544-547
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• 2004

Current increasingly information systems log historic information in a systematic way. Not only workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called 'event log'. Unfortunately, the information in these event logs is rarely used to analyze the underlying processes. Process mining aims at improving this problem by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper focuses on the mining social networks. This is possible because event logs typically record information about the users executing the activities recorded in the log. To do this we combine concepts from workflow management and social network analysis. This paper introduces the approach and presents a tool to mine social networks from event logs.