The Model and Adaptive Configuration Management Strategy for a Distributed Database Server System

2005 ◽  
Vol 42 (1) ◽  
pp. 126 ◽  
Author(s):  
Junfeng Tian
Keyword(s):  
Management Strategy ◽  
Configuration Management ◽  
Distributed Database ◽  
Database Server ◽  
Server System

Energy Efficiency of a Web and Database Server System

2014 ◽  
Vol 5 (2) ◽  
pp. 29-48 ◽  
Author(s):  
Jukka Kommeri ◽  
Felipe Abaunza ◽  
Marko Niinimaki ◽  
Peter Thanisch ◽  
Tapio Niemi
Keyword(s):  
Energy Efficiency ◽  
Energy Savings ◽  
Wait Time ◽  
Efficiency Evaluation ◽  
Database Application ◽  
Database Server ◽  
Server Software ◽  
Energy Efficiency Evaluation ◽  
Server System

Energy-efficiency of server hardware, web server software and databases has been widely studied. However, studies that combine these aspects are rare. In this paper the authors present an energy-efficiency evaluation of a web and database application. They concentrate on the following aspects: server BIOS and operating system energy optimization and “bursting” i.e. queuing requests and then executing them in bursts. The authors have used the bursting method with both a database application and a web plus database application. Their results indicate about 10% energy savings using this method. They analyse the model by statistical tools and present an equation to express the quality of service versus burst wait time relationship.

A distributed database server for continuous media

2003 ◽  
Author(s):  
W.G. Aref ◽  
A.C. Catlin ◽  
A.K. Elmagarmid ◽  
J. Fan ◽  
J. Guo ◽  
...  
Keyword(s):  
Continuous Media ◽  
Distributed Database ◽  
Database Server

scholarly journals Rancang Bangun Sistem Informasi Recruitment Berbasis Web Bagi Karyawan Baru

2021 ◽  
Vol 7 (2) ◽  
pp. 201-208
Author(s):  
Abdul Hamid Arribathi ◽  
Lisda Anggraeni ◽  
Riska Putri Gestiarie
Keyword(s):  
Programming Language ◽  
Swot Analysis ◽  
New Employees ◽  
Employee Recruitment ◽  
Database Server ◽  
Recruitment System ◽  
A Company ◽  
Server System

n processing employee recruitment data, it still uses a manual system so that the company experiences several problems in searching for applicant files. So we need a system that can handle the recruitment of new employees that can support the performance of a company. In this study, researchers used SWOT analysis, PHP (Hypertext Preprocessor) was used for the programming language, while the software used for the database server system was MySQL, and XAMPP. With this employee recruitment system, it can make it easier for applicants to be able to directly access the application files on the website, as well as make it easier for HRD in the process of selecting new employees.

scholarly journals Overview of Modern Nosql Database Management Systems. Case Study: Apache Cassandra

2018 ◽  
Vol 9 (1) ◽  
pp. 83-86
Author(s):  
Katalin Ferencz
Keyword(s):  
Open Source ◽  
Database Management ◽  
Query Language ◽  
Distributed Database ◽  
Database Management Systems ◽  
Sensor Data ◽  
Management Systems ◽  
Database Server ◽  
Server Software ◽  
Iot Devices

Abstract The wide spread of IoT devices makes possible the collection of enormous amounts of sensor data. Traditional SQL (structured query language) database management systems are not the most appropriate for storing this type of data. For this task, distributed database management systems are the most adequate. Apache Cassandra is an open source, distributed database server software that stores large amounts of data on low-coast servers, providing high availability. The Cassandra uses the gossip protocol to exchange information between the distributed servers. The query language used is the CQL (Cassandra Query Language). In this paper we present an alternative solution to traditional SQL-based database management systems - the so called NoSQL type database management systems, summarize the main types of these systems and provide a detailed description of the Apache Cassandra open source distributed database server installation, configuration and operation.

scholarly journals TUGAS JARINGAN KOMPUTER 1 (YUDA FAHROZI 175100011)

2019 ◽  
Author(s):  
yuda fahrozi
Keyword(s):  
Data Base ◽  
Real Time ◽  
Data Warehouse ◽  
Distributed Database ◽  
Sql Server ◽  
End User ◽  
External Database ◽  
Database Server ◽  
The Web

Database Server adalah sebuah program komputer yang menyediakan layanan pengelolaan basis data dan melayani komputer atau program aplikasi basis data yang menggunakan model klien/server. Istilah ini juga merujuk kepada sebuah komputer (umumnya merupakan server) yang didedikasikan untuk menjalankan program yang bersangkutan. Sistem manajemen basis data (SMBD) pada umumnya menyediakan fungsi-fungsi server basis data, dan beberapa SMBD (seperti halnya MySQL atau Microsoft SQL Server) sangat bergantung kepada model klien-server untukmengakses basis datanya.Legenda Terbentuknya Istilah DatabaseIstilah “database” berawal dari ilmu komputer. Meskipun kemudianartinya semakin luas, memasukkan hal-hal di luar bidang elektronika, artikel inimengenai database komputer. Catatan yang mirip dengan database sebenarnyasudah ada sebelum revolusi industri yaitu dalam bentuk buku besar, kuitansi dan kumpulan data yang berhubungan dengan bisnisJenis DatabaseTerdapat 12 tipe database, antara lainOperational database,Analytical database,Data warehouse,Distributed database,End-user database,External database,Hypermedia databases on the web,Navigational database,In-memory databases,Document-oriented databases,Real-time databases,danRelational Database.Kata Kunci : Kapasitas Server Dan Data Base

scholarly journals PENERAPAN ARSITEKTUR THREE-TIER TERHADAP OPTIMALISASI KEAMANAN DISTRIBUTED DATABASE

CCIT Journal ◽  
2010 ◽  
Vol 3 (3) ◽  
pp. 345-365
Author(s):  
Muhammad Yusup ◽  
Untung Rahardja ◽  
Eko Prasetiyani
Keyword(s):  
Distributed Database ◽  
Ip Address ◽  
Database Server ◽  
E Learning ◽  
Password Management

Seiring dengan kemcjuan teknologi informasi dan laju perkembangannya yang semakin pesat mendorong adanya perkembangan tingkat keamanan pada sistem database server. Tingkat keamanan tersebut ditir jau dari berbagai tier, baik pada Application Tier, Database Tier, maupun Network Tier. Namun penerapan keamanan sistem database server saat ini baru sebatas pada Application Tier saja, misalnya penerapan hak akses user dengan 1P Token, IP Address, Mac Address serta Global Password Management (GPM) pada server RME. Untuk keamanan Network Tier sudah diatur melalui router, tetapi keamanan dari Database Tier belum disentuh dengan baik. Saat ini Server RME masih menggunakan konsep Two-Tier, yaitu antara Database Tier dan Application Tier masih berada dalam satu server, menggunakan Windows Authentication sebagai hak akses user pada sisi database. Sehingga penerapan tersebut tentunya sangat rentan terhadap keamanan sistem database server, dimana perintah-perintah SQL yang dijalankan oleh user sulit untuk dikendalikan karena belum diterapkannya User Mapping dan Server Roles pada database. Dari permasalahan tersebut maka server RME dengan konsep Two-Tier perlu dioptimalkan karena dapat memberikan dampak yang cukup signifikan terhadap kelangsungan 4 (empai) pilar IT E-learning di lingkungan Perguruan Tinggi Rahai ja. Untuk mengatasi hal tersebut maka dibutuhkan suatu konsep Three-Tier yang diterapkan pada server iRME. Dengan menggunakan Three-Tier, memungkinkan adanya pemisahan secara fisik antara Database Tier dan Application Tier pada server yang berbeda sehingga diharapkan dapat meningkatkan keamanan pada sisi database server. Arsitektur ini memiliki potensi untuk apkan backup server jika Application Tier mengalami masalah, memungkinkan juga diterapkan mirroring pada server iRME sebagai pengembangan lanjutan. Dapat disimpulkan bahwa dengan konsep Three-Tier ini dapat menjadi sebuah solusi terkini dalam meningkatkan keamanan database server di lingkungan Perguruan Tinggi Raharja.

Development of Optimum Welding Heat Input Device Based on Welding Frequency and Spark Detection

2012 ◽  
Author(s):  
Sung-Soo Eun ◽  
Min-Hyun Cho ◽  
Ki-Hong Kim ◽  
Hyun-Seung Lee
Keyword(s):  
Welding Process ◽  
Cost Savings ◽  
Input Device ◽  
Single Shot ◽  
Load Impedance ◽  
Database Server ◽  
The Cost ◽  
Pipe Manufacturing ◽  
Server System

According to the previous researches, the welding frequency increases as the load impedance decreases when the narrow gap shorts out during ERW welding process. The proper welding frequency is theoretically calculated and also measured for OCTG pipe manufacturing. Also, to assure the quality of ERW tube, the spark detection device developed. According to signals from the spark detection device, there are two types of sparks found as a single-shot spark and sustainable spark. The formation of single-shot spark is too short to recognize the existence of spark with operator’s naked eyes during ERW process. Thus, the paint spraying system was used to mark the sparking location for screening at the inspection unit. Therefore, spark detecting devices (bad signal detection) are used to increase the productivity of products and improve its quality. In addition, the database server system developed according to the accumulated data can provide the cost savings and the creation of new demands.

Design for Distributed Database Server of Tea Traceability System Based on Amoeba

2014 ◽  
Vol 971-973 ◽  
pp. 1920-1923
Author(s):  
Jun Liu ◽  
Yu Sun ◽  
Zhi Zhen Chen ◽  
Yan Liu ◽  
Lin Su ◽  
...  
Keyword(s):  
Data Processing ◽  
Monitoring System ◽  
Distributed Database ◽  
Experimental Results ◽  
Distributed Data ◽  
Processing Efficiency ◽  
Reading And Writing ◽  
Separation Technology ◽  
Traceability System ◽  
Database Server

According to the characteristics of the tea product traceability and monitoring system, the master-slavedatabase architecture is adopted. Based on Amoeba frame, the separation technology of reading and writing isachieved. Experimental results show that the design of master-slave distributed database is correct. And the achievement of separation technology of reading and writing effectively implement a distributed data managementto improve data processing efficiency.

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