Abstract
Cloud-based offloading may improve mobile application performance and reduce energy consumption by migrating mobile code execution to the cloud. Nevertheless, it is not always the best bet, because of the high WAN delay. This article presents Pytos, a framework for Python, that allows code migration to the network edge (cloudlet), mitigating latency limitations. Pytos provides a transparent offloading mechanism to end users, hence the system discovers available cloudlets in the network automatically. To developers, Pytos provides a simple programming model at method-level granularity. Empirical evaluation showed that Pytos may improve performance and energy consumption up to 20 times.
Original language | English |
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Title of host publication | Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 |
Editors | Kokou Yetongnon, Albert Dipanda, Richard Chbeir |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 262-269 |
Number of pages | 8 |
ISBN (Electronic) | 9781467397216 |
DOIs | |
State | Published - 5 Feb 2016 |
Externally published | Yes |
Event | 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 - Bangkok, Thailand Duration: 23 Nov 2015 → 27 Nov 2015 |
Publication series
Name | Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 |
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Conference
Conference | 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 |
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Country/Territory | Thailand |
City | Bangkok |
Period | 23/11/15 → 27/11/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- cloudlet
- computation offloading
- framework
- mobile cloud
- Python