• Title, Summary, Keyword: Database

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Database Management System Parameter Tuning Processes for Improving Database System Performance (데이터베이스 시스템 성능 향상을 위한 데이터베이스 관리 시스템 파라미터 튜닝 프로세스)

  • 최용락;윤병권;정기원
    • The Journal of Society for e-Business Studies
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    • v.7 no.1
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    • pp.107-127
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    • 2002
  • Database system parameter tuning is one of database system tuning that achieve to improve performance of database system with application program tuning and data model tuning. By parameter tuning adjusts value of entry that is staled in data dictionary's parameter file that is included to database system, it is thing which make relevant database system can display performance of most suitable. And, it is that achievement is one o( possible tuning method immediately without occurrence of additional expense or involved hardware for database system performance elevation and ashes composition of software. But, it is actuality that administration about parameter practical use is not achieved, and is using Default Value of parameter that database management system offers just as it is systematically. So, this paper presents parameter tuning process that can :achieve Parameter tuning of database system that is operating present systematically, and parameter tuning process each activity important input urea and tuning achievement product. And explain about effect and result that happen by sort database system performance and parameters that it is affinity systematically, and grasp relationships between parameter, and change parameter of string database system. And not that parameter uses contents that specify by fixing when establish database administration system, is going to emphasize and explain that must utilize changing continuously during database system operation. It changes parameter entry value how in various kinds different operation environment and present if must apply, and will arrange effect that this parameter enoy value alteration gets in performance liking into account point that is actuality that is using parameter that define database administrators when install the database system just as it is continually without alteration.

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Conceptual Data Modeling on the KRR-1&2 Decommissioning Database

  • Park, Hee-Seoung;Park, Seung-Kook;Lee, Kune-Woo;Park, Jin-Ho
    • Nuclear Engineering and Technology
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    • v.34 no.6
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    • pp.610-618
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    • 2002
  • A study of the conceptual data modeling to realize the decommissioning database on the HRR-1&2 was carried out. In this study, the current state of the abroad decommissioning database was investigated to make a reference of the database. A scope of the construction of decommissioning database has been set up based on user requirements. Then, a theory of the database construction was established and a scheme on the decommissioning information was classified . The facility information, work information, radioactive waste information, and radiological information dealing with the decommissioning database were extracted through interviews with an expert group and also decided upon the system configuration of the decommissioning database. A code which is composed of 17 bit was produced considering the construction, scheme and information. The results of the conceptual data modeling and the classification scheme will be used as basic data to create a prototype design of the decommissioning database.

A Case Study on Database Quality and Quality Factors (데이터베이스 품질 평가에 관한 사례 연구)

  • Lee Cheen Yeul;Park Hyun Jee
    • Journal of Information Technology Applications and Management
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    • v.11 no.4
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    • pp.209-225
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    • 2004
  • This paper presents case studies on database Quality uSing an extended database Quality model developed by Korea Database Promotion Center, which shall be called KDPC2003. The model is applied to evaluate two kinds of databases ; one is an operational database, the other is an information service database. The purpose of this research is two-folded. One is to evaluate database quality and assess current status of database quality management; the other is to assess usefulness of KDPC2003 and to propose ideas for its augmentation. The findings in this study will provide basic facts to test database quality evaluation models.

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The Extraction of Effective Index Database from Voice Database and Information Retrieval (음성 데이터베이스로부터의 효율적인 색인데이터베이스 구축과 정보검색)

  • Park Mi-Sung
    • Journal of Korean Library and Information Science Society
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    • v.35 no.3
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    • pp.271-291
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    • 2004
  • Such information services source like digital library has been asked information services of atypical multimedia database like image, voice, VOD/AOD. Examined in this study are suggestions such as word-phrase generator, syllable recoverer, morphological analyzer, corrector for voice processing. Suggested voice processing technique transform voice database into tort database, then extract index database from text database. On top of this, the study suggest a information retrieval model to use in extracted index database, voice full-text information retrieval.

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Cooperative Query Answering Based on Abstraction Database (추상화 정보 데이터베이스 기반 협력적 질의 응답)

  • 허순영;이정환
    • Journal of the Korean Operations Research and Management Science Society
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    • v.24 no.1
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    • pp.99-117
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    • 1999
  • Since query language is used as a handy tool to obtain information from a database, a more intelligent query answering system is needed to provide user-friendly and fault-tolerant human-machine Interface. Frequently, database users prefer less rigid querying structure, one which allows for vagueness in composing queries, and want the system to understand the intent behind a query. When there is no matching data available, users would rather receive approximate answers than a null information response. This paper presents a knowledge abstraction database that facilitates the development of such a fault-tolerant and intelligent database system. The proposed knowledge abstraction database adepts a multilevel knowledge representation scheme called the knowledge abstraction hierarchy(KAH), extracts semantic data relationships from the underlying database, and provides query transformation mechanisms using query generalization and specialization steps. In cooperation with the underlying database, the knowledge abstraction database accepts vague queries and allows users to pose approximate queries as well as conceptually abstract queries. Specifically. four types of vague queries are discussed, including approximate selection, approximate join, conceptual selection, and conceptual Join. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database application systems.

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A Study on the Secure Database Controlled Under Cloud Environment (클라우드 환경하에서의 안전한 데이터베이스 구축에 관한 연구)

  • Kim, SungYong;Kim, Ji-Hong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.6
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    • pp.1259-1266
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    • 2013
  • Nowadays, the databases are getting larger and larger. As the company has difficulty in managing the database, they want to outsource the database to the cloud system. In this case the database security is more important because their database is managed by the cloud service provider. Among database security techniques, the encryption method is a well-certified and established technology for protecting sensitive data. However, once encrypted, the data can no longer be easily queried. The performance of the database depends on how to encrypt the sensitive data, and on the approach for searching, and the retrieval efficiency that is implemented. In this paper we propose the new suitable mechanism to encrypt the database and lookup process on the encrypted database under control of the cloud service provider. This database encryption algorithm uses the bloom filter with the variable keyword based index. Finally, we demonstrate that the proposed algorithm should be useful for database encryption related research and application activities.

Design and Implementation of Distributed In-Memory DBMS-based Parallel K-Means as In-database Analytics Function (분산 인 메모리 DBMS 기반 병렬 K-Means의 In-database 분석 함수로의 설계와 구현)

  • Kou, Heymo;Nam, Changmin;Lee, Woohyun;Lee, Yongjae;Kim, HyoungJoo
    • KIISE Transactions on Computing Practices
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    • v.24 no.3
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    • pp.105-112
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    • 2018
  • As data size increase, a single database is not enough to serve current volume of tasks. Since data is partitioned and stored into multiple databases, analysis should also support parallelism in order to increase efficiency. However, traditional analysis requires data to be transferred out of database into nodes where analytic service is performed and user is required to know both database and analytic framework. In this paper, we propose an efficient way to perform K-means clustering algorithm inside the distributed column-based database and relational database. We also suggest an efficient way to optimize K-means algorithm within relational database.

A Study on the Quality Evaluation Method of Spatial Database - Focusing on Land Database - (공간데이터베이스의 품질평가 방법에 관한 연구 - 토지데이터베이스를 중심으로 -)

  • 김미정;안종천;조우현
    • Spatial Information Research
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    • v.11 no.4
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    • pp.327-340
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    • 2003
  • Quality elements and evaluation methods should be considered according to the characteristics of spatial database. The purpose of this study is to propose specific methods for quality evaluation focusing on land database which are an important parts of spatial database. Through the study, of quality evaluation for selected quality elements are specified, which are based on the construction processes of the topogaphical database, cadastral database, and zoning database. Position accuracy, attribute accuracy, consistency, completeness, temporal accuracy, believability, and lineage are selected as the quality elements of land database. A various statistical and mathematical skills are proposed for measurement and assesment methods of quality elements.

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