Simulasi load balancing pada jaringan LAN dengan topologi fish menggunakan metode Peer Connection Classifier (PCC)

Ubaidillah, Lazki (2018) Simulasi load balancing pada jaringan LAN dengan topologi fish menggunakan metode Peer Connection Classifier (PCC). Diploma thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

The number of clients that access servers on a LAN network simultaneously, resulting in overloaded servers. Therefore the use of Load Balancing is a solution to overcome the overload on the server so that the traffic load becomes balanced. In load balancing, there is also a method to mark every traffic passed on a router by using the Peer Connection Classifier (PCC), where the PCC can divide the traffic into groups, as well as to prevent routing loops on one of the routers. To be able to run the above method, the need for a network topology. In this research fish topology is used to simulate load balancing system of PCC method by using GNS3 and Virtual Box application. From the simulation and test results, distribution of data generated on PCC Load Balancing from server to client with download speed of 1.4 Mbps s / d 2.8 Mbps on 3M Bandwidth, and Packet Loss occurring in PCC Load Balancing is between 0.1% - 2%.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: LAN Network; Load Balancing; PCC; Fish Topology;
Subjects: Data Processing, Computer Science
Data Processing, Computer Science > Local Area Network (LAN)
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Elektro
Depositing User: lazki ubaidillah
Date Deposited: 13 Dec 2018 03:03
Last Modified: 13 Dec 2018 03:03
URI: http://digilib.uinsgd.ac.id/id/eprint/17412

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