• Title/Summary/Keyword: Log server

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Distributed FTP Server for Log Mining System on ACE (분산 FTP 서버의 ACE 기반 로그 마이닝 시스템)

  • Min, Su-Hong;Cho, Dong-Sub
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.465-468
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    • 2002
  • Today large corporations are constructing distributed server environment. Many corporations are respectively operating Web server, FTP server, Mail server and DB server on heterogeneous operation. However, there is the problem that a manager must manage each server individually. In this paper, we present distributed FTP server for log mining system on ACE. Proposed log mining system is based upon ACE (Adaptive Communication Environment) framework and data mining techniques. This system provides a united operation with distributed FTP server.

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Implementation of Mobile Web Server Log Analyzer (모바일 웹 서버 로그 분석기 구현)

  • Park Hong-Jin
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.2
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    • pp.63-68
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    • 2006
  • If web server occurs my fault, log file is important information to find out occurred error. The web server analyzer plays a vital role in improving the web service quality by analyzing log files stores in the web server. But, most conventional web server analysis programs are provided over wired networks, there are problems to be dealt with in terms of time-space restrictions and mobility. In order to solve above problem, this paper represent web server analyser based mobile. In case web server manager based mobile, it can immediately know recent log information accessing real-rime as also anytime, anywhere.

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A Real-time Remote Logging Model for Development of Location-Based Mobile Applications

  • Choi, Yun-seok
    • 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.

Capacity Analysis of Internet Servers Based on Log-Data Analysis (로그자료 분석을 통한 인터넷 서버의 용량 분석)

  • 김수진;윤복식;이용주;강금석
    • Korean Management Science Review
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    • v.19 no.1
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    • pp.29-38
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    • 2002
  • Due to the rapid increase In the Internet traffic volume, ISPs are faced with the definite need of the expansion of server capacity. In order to Provide prompt services for customers and still prevent excessive facility cost, it is critical to determine the optimum level of internet server capacity. The purpose of this Paper is to provide a simple but effective strategy on the expansion of servers capacity according to the increase in internet traffic. We model an internet server as an M/G/m/m queueing system and derive an efficient method to compute the loss probability which, In turn, Is used as a basis to determine proper server capacity. The Process of estimating the traffic parameter values at each server based on log data analysis is also given. All the procedures are numerically demonstrated through the process of analyzing actual log data collected from a game company.

Log Analysis System Design using RTMA

  • Park, Hee-Chang;Myung, Ho-Min
    • 한국데이터정보과학회:학술대회논문집
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    • 2004.04a
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    • pp.225-236
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    • 2004
  • Every web server comprises a repository of all actions and events that occur on the server. Server logs can be used to quantify user traffic. Intelligent analysis of this data provides a statistical baseline that can be used to determine server load, failed requests and other events that throw light on site usage patterns. This information provides valuable leads on marketing and site management activities. In this paper, we propose a method of design for log analysis system using RTMA(realtime monitoring and analysis) technique.

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Implementation of Mobile Web Server Manager (모바일 웹 서버 관리기 구현)

  • Ko, Kaung-Man;Park, Hong-Jin
    • Journal of the Korea Computer Industry Society
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    • v.5 no.9
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    • pp.1063-1068
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    • 2004
  • A log file in web server stores various information of web server. The web server information is good reference information to improve web service quality. Also if web server occurs any fault, log file information is important information to find out occurred error. Currently, many of web server manager that they have wire have disadvantages in mobility. In order to solve above problem, this paper represent web server manager based mobile. Incase web server manager based mobile, it can immediately know recent log information accessing real-rime as also anytime, anywhere

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Development of Log Processing Module and Log Server for Ethernet Shipboard Integration Networks (이더넷 기반 선박 통합 네트워크를 위한 로그 처리 모듈 및 로그 서버의 개발)

  • Hwang, Hun-Gyu;Yoon, Jin-Sik;Seo, Jeong-Min;Lee, Seong-Dae;Jang, Kil-Woong;Park, Hyu-Chan;Lee, Jang-Se
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.331-338
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    • 2011
  • Objectives of shipboard integration networks are to exchange and manage integrated information. Shipboard integration networks use UDP(User Datagram Protocol) multicast for the exchange of information. However, such information can be missed or damaged because UDP can't guarantee reliability. The standard of shipboard integration networks defines error log functions for the missed or damaged information. In this paper, we analyze internal and external log functions. The internal log function records errors internally, and the external log function sends error messages to a log server and records them in a database. We also develop a log processing module and log server for the external log function.

Recovery Technique using PLT in a Page-Server Object Oriented DBMS (페이지-서버 객체지향 DBMS에서의 PLT를 이용한 회복기법)

  • Cho, Sung-Je
    • The KIPS Transactions:PartD
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    • v.9D no.6
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    • pp.1097-1104
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    • 2002
  • Recently, with a drop in memory chip price and rapid development of mass storage memory chip technology, research on client-server Database Management Systems has gained wide attention. This Paper discusses the recovery technique in a page-server OODBMS environment. Although most researchers have studied client-server systems, the recovery technique has been a poor researches. In this paper, client transfers only the completed log records to the server and resolves the problems in the current recovery techniques. In addition, the server manages only the execution of completed log records suggesting a simple recover algorithm, Client uses system concurrency, fully, by acting to abort actions and it suggests a page unit recovery technique to reduce time that is required in the whole database.

A Consistency Control of Method for Spatial Data Cached in Mobile Clients (모바일 클라이언트에 캐쉬된 공간 데이터의 일관성 제어 기법)

  • 안경환;차지태;홍봉희
    • Journal of KIISE:Databases
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    • v.31 no.3
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    • pp.274-286
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    • 2004
  • In mobile client-server environments, mobile clients usually are disconnected with their server because of high cost of wireless communication and keep their own local copies to provide efficient updating the cached map. The update of the server database leads to invalidation of the cached map in the client side. To solve the issues of invalidation of the cached map, it is not efficient to resend part of the updated server database to clients whenever the updating of the server database occurs. This paper proposes a log-based update propagation method to propagate the server's update into its relevant clients by using only update logs. Too many logs increasingly accumulate as the sever database is updated several times. The sequential search of the relevant log data for a specific client is time-consuming. Sending of unnecessary logs should be avoided for reducing the overhead of communication.'re solve these problems, we first define unnecessary logs and then suggest log reduction methods to avoid or cancel creating unnecessary logs. The update log index is used for quickly retrieving relevant logs.

Log Management System of Web Server Based on Blockchain in Cloud Environment (클라우드 환경에서 블록체인 기반의 웹서버 로그 관리 시스템)

  • Son, Yong-Bum;Kim, Young-Hak
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.7
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    • pp.143-148
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    • 2020
  • Recently, web services have been expanded to various areas with the evolution of cloud environment. Whenever a user accesses a web service, the user's log information is stored in the web server. This log information is used as data to analyze the user's web service tendencies and is also used as important data to track the user's system access when a security problem in the system occurs. Currently, most web servers manage user log information in a centralized manner. When user log information is managed in a centralized manner, it is simple in the side of operation, but has a disadvantage of being very vulnerable to external malicious attacks. In the case of centralized management, user log information stored in the web server can be arbitrarily manipulated by external attacks, and in severe cases, the manipulated information can be leaked. In this case, it not only decreases the trust of the web service, but also makes it difficult to trace the source and cause of the attack on the web server. In order to solve these problems, this paper proposes a new method of managing user log information in a cloud environment by applying blockchain technology as an alternative to the existing centralized log management method. The proposed method can manage log information safely from external attacks because user log information is distributed and stored in blockchain on a private network with cloud environment.