Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile Platform

Author:

Qasim Awais12ORCID,Munawar Adeel3ORCID,Hassan Jawad3,Khalid Adnan1

Affiliation:

1. Department of Computer Science , Government College University , Lahore , Pakistan

2. School of Science, Engineering and Environment , University of Salford , the UK

3. Department of Computer Science , Lahore Garrison University , Pakistan

Abstract

Abstract Energy efficiency in mobile computing is really an important issue these days. Owing to the popularity and prevalence of Android operating system among the people, a great number of Android smartphone applications have been developed and proliferated by the software developers. While developing these applications, developers have to keep energy consumption factor in mind, as the efficiency of an application is largely affected by it. Thus, designers and programmers endeavour to choose the best designing approaches to develop energy-efficient applications. It is imperative to assist the programmers in choosing appropriate techniques and strategies to manage power consumption. In the present research, we have investigated the effect of Android application design on its energy utilisation. For this purpose, we have practically implemented design patterns on two Android applications and evaluated their energy consumption before and after implementing these patterns. We have modelled the high-level design of these two Android applications by using software design patterns in such a way as to abate their energy requirement. We have also checked how the quality, maintainability, and efficiency of code are affected by these design patterns. The outcomes of the research can facilitate programmers to utilise these details while developing energy efficient solutions.

Publisher

Walter de Gruyter GmbH

Reference41 articles.

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3. [3] R. Leitch and E. Stroulia, “Assessing the Maintainability Benefits of Design Restructuring Using Dependency Analysis,” in Proceedings. 5th International Workshop on Enterprise Networking and Computing in Healthcare Industry (IEEE Cat. No. 03EX717). 2004, pp. 309–322.

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5. [5] L. Zhang, B. Tiwana, Z. Qian, Z. Wang, R. P. Dick, Z. M. Mao, and L. Yang, “Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones,” in Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis, 2010, pp. 105–114. https://doi.org/10.1145/1878961.1878982

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