Estimating performance of mobile services from comparative output-input analysis of end-to-end throughput

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Full text:
Author(s): Markus Fiedler, Katarzyna Wac, Richard Bults, Patrik Arlos
Title: Estimating performance of mobile services from comparative output-input analysis of end-to-end throughput
Translated title: Uppskattning av tjänsteprestanda genom output-input jämförelse av datahastighet
Journal: IEEE Transactions on Mobile Computing
Year: 2013
Volume: 12
Issue: 9
Pagination: 1761-1773
ISSN: 1536-1233
Publisher: IEEE
URI/DOI: 10.1109/TMC.2012.141
ISI number: 000322330200007
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:,
Language: English
Abstract: Mobile devices with ever-increasing functionality and the ubiquitous availability of wireless communication networks are driving forces behind innovative mobile applications enriching our daily life. One of the performance measures for a successful application deployment is the ability to support application-data flows by heterogeneous networks within certain delay boundaries. However, the quantitative impact of this measure is unknown and practically infeasible to determine at real-time due to the mobile device resource constraints. We research practical methods for measurement-based performance evaluation of heterogeneous data communication networks that support mobile application-data flows. We apply the lightweight Comparative Output-Input Analysis (COIA) method estimating an additional delay based on an observation interval of interest (e.g., one second) induced on the flow. An additional delay is the amount of delay that exceeds non-avoidable, minimal end-to-end delay caused by the networks propagation, serialization and transmission. We propose five COIA methods to estimate additional delay and we validate their accuracy with measurements obtained from the existing healthcare and multimedia streaming applications. Despite their simplicity, our methods prove to be accurate in relation to an observation interval of interest, and robust under a variety of network conditions. The methods offer novel insights into application-data delays with regards to the performance of heterogeneous data communication networks.
Subject: Computer Science\Networks and Communications
Keywords: mobile application, additional delay, heterogeneous networks, application-level, throughput
Note: Article number6226414