Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Dedy Tinovrasibo Nababan
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Load Balancing pada Broker MQTT dengan Algoritme Weighted Least Connection menggunakan Raspberry Pi Dedy Tinovrasibo Nababan; Rakhmadhany Primananda; Fariz Andri Bakhtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Message Queuing Telemetry Transport (MQTT) is a publish / subscribe client communication protocol with the message exchange process. MQTT depends on TCP / IP as its base layer (Dinesh Thangavel, 2014) so the MQTT protocol work in realtime. In real time condition the broker must ensure all connections at the same time. However, a large number of clients connected to the broker will result in increased load on the broker. An increase in load can affect existing resources such as network bandwidth, memory, CPU usage, and throughput to overcome this problem can use a load balancing mechanism. Round robin algorithms can be used for load balancing but would be less efficient when applied to systems that use a broker with a different devices specification. Therefore, it is necessary to implement other load balancing algorithms at the MQTT broker on devices that have different specifications. The weighted least connection algorithm can be used to solve these problems because it can work by determining the weight of each broker. The parameters taken from this test include the number of connections, response time, and CPU usage. Tests are carried out with several scenarios, namely scenarios during the publish process and during the publish-subscribe process, with a predetermined amount. The result of this research is that the application of load balancing can reduce CPU usage when handling the publish-subscribe process with 1000 clients.
Co-Authors Fariz Andri Bakhtiar Rakhmadhany Primananda