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Communication Energy Evaluation for Mobile Applications: Emulating 3G over WiFi
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (RTSLAB)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (RTSLAB)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (RTSLAB)
2016 (English)In: ProceedingENERGY-SIM '16 Proceedings of the 2nd International Workshop on Energy-Aware Simulation, ACM Digital Library, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Ubiquitous connectivity and massive use of mobile applications are currently hampered by fast battery drain of mobile devices. The communication energy of a mobile device is highly inuenced by the cellular operator conguration and the communication data pattern. Although testing the functionality and eciency of an application under diverse and realistic network settings is desirable, it is currently limited at the application developer test environment. It is generally hard to mimic di erent operator (infrastructure) settings that impact battery drain. In this paper we propose a system that creates a realistic cellular network testing environment for mobile applications on top of a WiFi network. A mobile device connects via WiFi to an emulator which shapes the uplink and downlink WiFi trac using real cellular operator conguration parameters. The system provides higher test repeatability compared to live networks and can be congured to emulate diverse cellular network parameters. These parameters, which determine the energy consumption, can be changed modularly and eciently. The evaluation of the resulting trac of the emulator compared to real cellular packet races from a streaming application shows a high correlation (0.97-0.98). The work has resulted in integration of the emulator within Spotify's test environment.

Place, publisher, year, edition, pages
ACM Digital Library, 2016.
Keyword [en]
Computer Communication Networks, Wireless communcation, Performance, measurement techniques
National Category
Engineering and Technology Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-134129DOI: 10.1145/2939948.2939951ISBN: 9781450344197 (electronic)OAI: oai:DiVA.org:liu-134129DiVA: diva2:1068082
Conference
2nd E-Energy Workshop on Energy-aware Simulation (ENERGY-SIM), Waterloo, Ontario, Canada — June 21 - 24, 2016
Projects
Green networking
Funder
CUGS (National Graduate School in Computer Science)
Available from: 2017-01-24 Created: 2017-01-24 Last updated: 2017-04-05Bibliographically approved

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Alesand, AlexanderVergara, Ekhiotz JonNadjm-Tehrani, Simin
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CiteExportLink to record
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