Name
Abstract | ||
|---|---|---|
Mobile devices have less computational power and poorer Internet connections than other computers. Computation offload [1, 2, 3, 4], in which some portions of an application are migrated to a server, has been proposed as one way to remedy this deficiency. Yet, partitionbased offload is challenging because it requires applications to accurately predict whether mobile or remote computation will be faster, and it requires that the computation be large enough to overcome the cost of shipping state to and from the server. Further, offload does not currently benefit network-intensive applications. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2867070.2867075 | GetMobile |
DocType | Volume | Issue |
Journal | 19 | 3 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark S. Gordon | 1 | 1 | 0.75 |
| Ke Hong | 2 | 60 | 8.01 |
| Peter M. Chen | 3 | 0 | 0.34 |
| Jason Flinn | 4 | 2822 | 308.56 |
| Scott Mahlke | 5 | 4811 | 312.08 |
| Zhuoqing Morley Mao | 6 | 5719 | 363.11 |