
Spreading more than twice as fast as PCs, smartphones are quickly becoming the primary mean for Internet access. However, smartphones today are still constrained by limited computation resources such as CPU, memory and battery. In this paper, we present a framework that automatically offloads heavy back-end tasks of a regular standalone Android application to an Android virtual machine in the cloud. This framework can be deployed in the application layer without modifying the underlying Android platform. It also features three metrics that consider total response time, energy consumption and remaining battery life in deciding whether a task should be offloaded.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
