Monitoring Energy Consumption of Smartphone Apps Using Fuzzy Clustering
| Autor: | Subo He, Hepei Li, Lingtao Zhang, Yingxin Liao |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Fuzzy clustering
Database Computer science Energy management Energy consumption Library and Information Sciences computer.software_genre Computer Graphics and Computer-Aided Design Fuzzy logic Application lifecycle management World Wide Web Terminal server Computational Theory and Mathematics Android (operating system) Cluster analysis computer Information Systems |
| Zdroj: | Journal of Information and Computational Science. 11:4537-4576 |
| ISSN: | 1548-7741 |
| Popis: | Energy management is an important aspect of future mobile Internet. The energy consumption issue of mobile apps has attracted attention of many users and developers. Currently there is an increasing trend of malicious or low-quality apps which has very low energy efficiency. Existing work for evaluating mobile apps can only get limited information about the energy consumption of smartphones, and there are rarely methods proposed for evaluating the performance of individual applications. In this paper, we mainly implemented an application management procedure for Android, including some basic operations for checking and managing applications. Providing some information about individual apps and using our PEA algorithm to calculating resource usage of each app for users to judge which running app needs to stop, even delete it. In here, we use fuzzy C-average clustering algorithm to calculating energy consumption of individual application at terminal server. And experimental results show the expected effect. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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