HIGH AVAILABILITY PADA CLUSTER SERVER MENGGUNAKAN METODE NEURAL NETWORK

AL HANIF, YOGGIE and Heryanto, Ahmad and Stiawan, Deris (2021) HIGH AVAILABILITY PADA CLUSTER SERVER MENGGUNAKAN METODE NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

High availability cluster is the ability of the system to increase the availability of services provided by a cluster. The high availability process is when the main server cannot provide services, then another clustered server will replace the main server automatically. One of the obstacles in cloud computing is how to predict the resources that will be used in real-time. This study will prevent failover using the backpropagation neural network method based on CPU utilization, memory utilization, and disk utilization parameters. In this study, several experiments were carried out to obtain the best results of training accuracy and testing accuracy. So that the results obtained are 96.10% training accuracy and 96.58% testing accuracy. Keywords : High availability, Cloud computing, Server, Cluster, Failover, Neural network backpropagation.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	High availability, Cloud computing, Server, Cluster, Failover, Neural network backpropagation
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) T Technology > TJ Mechanical engineering and machinery > TJ163.13-163.25 Power resources
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Yoggie Al Hanif
Date Deposited:	20 Sep 2021 07:20
Last Modified:	20 Sep 2021 07:20
URI:	http://repository.unsri.ac.id/id/eprint/54132

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