The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 52-180
Full Name: Sorapak Pukdesree
Position: Senior Lecturer
Age: ON
Sex: Male
Address: School of Science and Technology, Bangkok University Rama IV rd., Klongtoey BKK 10110
Country: THAILAND
Tel: 662-3503500
Tel prefix:
Fax:
E-mail address: sorapak@gmail.com
Other E-mails:
Title of the Paper: Performance Evaluation of Distributed Database on PC Cluster Computers
Authors as they appear in the Paper: SORAPAK PUKDESREE, VITALWONHYO LACHAROJ, PARINYA SIRISANG
Email addresses of all the authors: sorapak@gmail.com, vitalwonhyo@gmail.com, jnosis.s@hotmail.com
Number of paper pages: 10
Abstract: Presently, Information is very importance aspect to be recognized on every application. Modern organizations have stored and managed their information using database management system. The proprietary DBMSs Software is very expensive license to spend depending on the scale of capability to handle their transactions. Therefore this research would like to represent the distributed database methodology that can be scalable to improve performance the database system to meet business requirements. To implement the distributed database methodology, researcher will use an open source DMBS named MySQL Cluster as research's tool. MySQL Cluster deploys on distributed database technology that can be scaled the performance dynamically on the PC Clustering computers. MySQL Cluster can provide higher performance with significantly lower cost than enterprise DBMSs based on PC Clustering computers. This research focuses on the small and medium of enterprise businesses in Thailand!
which their incomes are less than one and a half million dollar per year. Most of their budget have been spent on productions rather than invested on information technology section. Therefore SMEs businesses in Thailand can utilize this research's information to make their plans for the database management system to meet the requirements of their businesses.
Keywords: High Performance Computing, PC Clustering Computers, Database, MySQL Cluster, Distributed Database, Distributed Processing.
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 210.86.128.80
