Name
Title | ||
|---|---|---|
A Multi-task Oriented Selection Strategy for Efficient Cooperation of Collocated Mobile Devices. |
Abstract | ||
|---|---|---|
As the resource consumption of mobile applications continues to outweigh the hardware capacities of mobile devices, the user experience can be improved by leveraging the resources of the nearby mobile devices. In other words, a mobile device should be able to request surrounding devices to execute tasks on its behalf. By treating the resources of the devices in the vicinity collectively, one can orchestrate a distributed interaction that uses these resources efficiently, thereby improving individual user experiences. In this paper, we study the problem of allocating multiple tasks across multiple mobile devices with the goal of reducing the collective execution time, while limiting the resources consumed by each participating device. Our selection strategy uses a set of heuristics to allocate the task execution in the aforementioned type of distributed interaction scenarios. The results of our experimental evaluation indicate that this strategy can be successfully applied in Mobile Device Cloud applications. |
Year | Venue | Field |
|---|---|---|
2017 | ICA3PP | Resource consumption,User experience design,Computer science,Heuristics,Mobile device,Execution time,Task oriented,Limiting,Distributed computing,Cloud computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Gao | 1 | 127 | 16.33 |
| Jun Feng | 2 | 0 | 0.34 |
| Ruidong Wang | 3 | 0 | 0.34 |
| Wendong Wang | 4 | 821 | 72.69 |