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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kim, Yeseong Kim, Hakbong Lim, Jehun Song, Wook Kim, Jihong |
| Copyright Year | 2014 |
| Abstract | As a highly personalized computing device, smartphones present a unique new opportunity for system optimization. For example, it is widely observed that a smartphone user exhibits very regular application usage patterns (although different users are quite different in their usage patterns). User-specific high-level app usage information, when properly managed, can provide valuable hints for optimizing various system design requirements. In this article, we describe the design and implementation of a personalized optimization framework for the Android platform that takes advantage of user's application usage patterns in optimizing the performance of the Android platform. Our optimization framework consists of two main components, the application usage modeling module and the usage model-based optimization module. We have developed two novel application usage models that correctly capture typical smartphone user's application usage patterns. Based on the application usage models, we have implemented an app-launching experience optimization technique which tries to minimize user-perceived delays, extra energy consumption, and state loss when a user launches apps. Our experimental results on the Nexus S Android reference phones show that our proposed optimization technique can avoid unnecessary application restarts by up to 78.4% over the default LRU-based policy of the Android platform. |
| Starting Page | 1 |
| Ending Page | 25 |
| Page Count | 25 |
| File Format | |
| ISSN | 15399087 |
| e-ISSN | 15583465 |
| DOI | 10.1145/2544375.2544380 |
| Volume Number | 13 |
| Issue Number | 2s |
| Journal | ACM Transactions on Embedded Computing Systems (TECS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-01-27 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Android Application usage pattern Mobile systems User experience |
| Content Type | Text |
| Resource Type | Article |
| Subject | Hardware and Architecture Software |
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