Performance Assessment of WhatsApp and IMO on Android Operating System (Lollipop and KitKat) during VoIP Calls using 3G or WiFi

R.C. De Oliveira; H.M. De Oliveira; L.P.S. Viana

Performance Assessment of WhatsApp and IMO on Android Operating System (Lollipop and KitKat) during VoIP Calls using 3G or WiFi

R.C. De Oliveira * §

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H.M. De Oliveira

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L.P.S. Viana

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§ Amazon State University

Performance Assessment of WhatsApp and IMO on Android Operating System (Lollipop and KitKat) during VoIP Calls using 3G or WiFi

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Abstract

This paper assesses the performance of mobile messaging and VoIP connections. We compared the CPU requirements of WhatsApp and IMO under different scenarios. This analysis also enabled a comparison of the performance of these applications on two Android operating system (OS) versions: KitKat or Lollipop. Two models of smartphones were considered, viz. Galaxy Note 4 and Galaxy S4. The applications behavior was statistically investigated for both sending and receiving VoIP calls. Connections have been examined over 3G and WiFi. The handset model plays a decisive role in CPU requirements of the application. t-tests shown that IMO has a statistical better performance that WhatsApp whatever be the Android at a significance level 1%, on Galaxy Note 4. In contrast, WhatsApp requires less CPU than IMO on Galaxy S4 whatever be the OS and access (3G/WiFi). Galaxy Note 4 using WiFi has always better performance than S4 in terms of processing.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

R.C. De Oliveira, H.M. De Oliveira, L.P.S. Viana. 2016. "Performance Assessment of WhatsApp and IMO on Android Operating System (Lollipop and KitKat) during VoIP Calls using 3G or WiFi". Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 16 (GJCST Volume 16 Issue A1).

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GJCST Volume 16 Issue A1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-A Classification C.2.1

C.2.3

Submission ReceivedDecember 15, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

September 13, 2016

Language

English

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Article Matrices

Total Score: 144

Country: Brazil

Subject: Global Journal of Computer Science and Technology

Authors: R.C. De Oliveira, H.M. De Oliveira, R.A. Ramalho, L.P.S. Viana (PhD/Dr. count: 0)

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Publish Date: 2016 01, Fri

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