A profile guided, analysis for energy-efficient computational offloading for mobile cloud computing environment
| Autor: | S. Swathikha, V. Kalpana |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Profiling (computer programming)
business.industry Computer science media_common.quotation_subject Distributed computing Life time 020206 networking & telecommunications Cloud computing 02 engineering and technology Mobile cloud computing Scarcity 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Mobile device media_common Efficient energy use |
| Zdroj: | 2017 2nd International Conference on Communication and Electronics Systems (ICCES). |
| DOI: | 10.1109/cesys.2017.8321191 |
| Popis: | Nowadays the concept of mobile cloud computing has been used widely. Its native problems such as limited battery life time, scarcity of resources, frequent disconnections and mobility are very challenging to accomplish. These problems can be addressed by mobile cloud computing by offloading the mobile applications to cloud that is external to the mobile device. Partial mobile application offloading is only advisable. To evaluate your application performance profiling is done. This paper provides a comprehensive analysis for an energy-efficient computational offloading research and it highlights a distinct pattern which concludes whether to offload or not to offload. Mobile to mobile task splitting and offloading is done when it is unfeasible to reach the cloud and it improves the performance and saves energy. But still many challenges with a censuring analysis have not yet been fully met. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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