Research on the management of cluster server

2020 ◽  
Vol 2 (2) ◽  
pp. 47-52
Author(s):  
Du Ping
Keyword(s):  
Cluster Server

Experiments and Descriptive Analysis in The MariaDB Database Cluster System to Prepare Data Availability

2019 ◽  
Vol 1 (1) ◽  
pp. 42-48
Author(s):  
Suyud Widiono
Keyword(s):  
Management System ◽  
Database Management ◽  
Descriptive Analysis ◽  
Optimal Number ◽  
Database Management System ◽  
Data Availability ◽  
Data Consistency ◽  
Data Services ◽  
Database Server ◽  
Cluster Server

A database server called the Database Management System (DBMS) that relates tables in a database is called the Relational Database Management System (RDBMS). DBMS/RDBMS is a computer program that provides data services for computers or other computer programs. One of the RDBMS type database server (hereinafter referred to as a database server) is MariaDB. The database server is in charge of managing and providing data, so data must always be ready, fast presented, accurate, and safe, it cannot be damaged or even lost. One way to provide this data is to install several database servers using the concept of replication in the Multiple Server Database system. Replication in a cluster server database is a method of installing several database server nodes that allow between node servers to copy each other and distribute data from one node to another database server node, which then synchronizes data between server nodes to maintain data consistency. This study looks for the most optimal number of minimal database server nodes to provide accurate, fast and safe data on the MariaDB Cluster RDBMS. From the results of the replication test from the cluster server database, it can be concluded that the number of 3 (three) node servers can be known to always synchronize and consistency of data between server nodes, so there are 3 (three) nodes of minimum database node with MariaDB RDBMS.

scholarly journals Design and Implementation LETS (Low Power Cluster Server) for Sustaining UMKM during Pandemic

2021 ◽  
pp. 77-82
Author(s):  
Hanugra Aulia Sidharta ◽  
Felix Filipi ◽  
Rafli Attala Jaskandi ◽  
Febrian Nugroho
Keyword(s):  
Low Power ◽  
Economic Crisis ◽  
Web Server ◽  
Small Cluster ◽  
Raspberry Pi ◽  
Movement Restriction ◽  
Design And Implementation ◽  
Cluster Server ◽  
People Movement ◽  
International Border

Covid pandemic is spreading since end 2019 arround globe, this resulting several countries suffer economic crisis. Due people movement restriction and international border is closed, impact halting on export and import. Indonesia with 267,7 million people manage to overcome global crisis during 1998 and 2008 with encourage small and local industry. According data from BPS, SME support 60% GDP with Rp 7,7 Billion and provide 85 million employment. To sustain SME during customer shifting behavior, we propose small cluster server called as LETS. LETS is modular, and composed with several Raspberry Pi 4, also consume few energies compared with traditional server. Although Raspberry Pi 4 is small size with few limitations, with lightweight application (ansible, k3s, and nginx) it can provide web server service. LETS provide handling traffic up to 742 simultaneus requests, which sufficient of SME requirement.

Design of Streaming Media Cluster Server Based on MPI

2011 ◽  
Vol 63-64 ◽  
pp. 643-646 ◽  
Author(s):  
Qi Xiong ◽  
Hong Bo Zhang ◽  
Zheng Bei Zhu ◽  
Zu Ju Li
Keyword(s):  
High Performance ◽  
Streaming Media ◽  
Access Point ◽  
Testing Method ◽  
Storage Node ◽  
Simulation Testing ◽  
Media Server ◽  
High Scalability ◽  
Cluster Server ◽  
Cluster Technology

In recent years, cluster technology is used more wildly. In this paper, we present a new method to implement a streaming media cluster server. The server is constructed on a high performance cluster which consists of one control node, one storage node and 8 computing nodes. We wrote a parallel program with MPI which run on the cluster. The organization of MPI program is a master-slave scheme. The master interacted with users and scheduled task within slaves. Slaves called streaming media server which sent data directly to user. This can improve the system performance significantly. We can also guarantee the transparence of the service by single access point named IP Tunneling. The system was implemented under Linux platform and tested through simulation testing method. From the testing results, it can be confirmed that the whole system is well designed which achieves high performance, good robustness and high scalability.

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