Skripsi

HIGH AVAILABILITY PADA CLUSTER SERVER MENGGUNAKAN METODE NEURAL NETWORK

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002625	T54132	T541322021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T541322021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2021

Collation

xv, 55 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.120 7

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem Analisa Dan Desain Perangkat Lunak
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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