Kurniawan, Kevin Junta and Lim, Charles and Eng, Kho I (2015) Open Source XMPP Performance Analysis: Using Large Volume Traffic from Honeypot Sensor. Bachelor thesis, Swiss German University.

Preview	Text Kevin Kurniawan 12111008 TOC.pdf Download (224kB) | Preview
	Text Kevin Kurniawan 12111008 1.pdf Restricted to Registered users only Download (168kB)
	Text Kevin Kurniawan 12111008 2.pdf Restricted to Registered users only Download (263kB)
	Text Kevin Kurniawan 12111008 3.pdf Restricted to Registered users only Download (364kB)
	Text Kevin Kurniawan 12111008 4.pdf Restricted to Registered users only Download (1MB)
	Text Kevin Kurniawan 12111008 5.pdf Restricted to Registered users only Download (147kB)
Preview	Text Kevin Kurniawan 12111008 Ref.pdf Download (184kB) | Preview

Abstract

In this thesis the performance Extensible Messaging and Presence Protocol server will be tested, until this point of time XMPP is a well-known for near real-time message- oriented middleware and for near real time data exchange. But the performance of XMPP server under huge load itself is still unclear, number of XMPP clients that can be handled by XMPP server, numerous factor that affect it‘s performance, and the through- put of message transmission. The experiment was done by load testing XMPP server by using Tsung to test XMPP server with huge number of connection, and XMPP clients from honeypot sensors. The result from XMPP server performance test is reaching it’s peak when it reach 1000 concurrent connection established and joining a MUC room. This shows that XMPP is robust but it have a limit on how many concurrent request it is able to handle.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	XMPP; Server Performance; rotocol; Honeypot; Instant Messaging, Sensor
Subjects:	Q Science > QA Mathematics > QA76 Computer software > > QA76.94 Electronic data processing--Auditing T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Atroridho Rizky
Date Deposited:	20 Jan 2021 15:10
Last Modified:	20 Jan 2021 15:10
URI:	http://repository.sgu.ac.id/id/eprint/1721

Actions (login required)

View Item