Name
Abstract | ||
|---|---|---|
Recently, mobile applications have become increasingly computation-intensive. However, the energy and the computing capabilities of mobile devices, such as smartphones and tablets, are limited. Mobile cloud computing is becoming a powerful way to tackle this challenge. Offloading computation-intensive tasks to nearby cloudlets can significantly save energy and enhance the computation capabilities of mobile devices. However, determining how to assign task requests to cloudlets while minimising the response time remains a challenging issue. The traditional approach cannot achieve the optimal effect since it ignores the task characteristics and the communication characteristic between the cloudlets. To address this challenge, in this paper, we provide an efficient algorithm for task request assignment that shortens the response time and reduces the network resource consumption. We evaluate the performance of the proposed task request assignment algorithm through experimental simulations. Simulation results demonstrate that the proposed algorithm is promising. |
Year | Venue | Keywords |
|---|---|---|
2018 | INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES | mobile cloud computing, edge computing, cloudlet, request assignment |
Field | DocType | Volume |
Mobile cloud computing,Resource consumption,Edge computing,Cloudlet,Computer science,Algorithm,Response time,Mobile device,Computation,Distributed computing | Journal | 14 |
Issue | ISSN | Citations |
4 | 1741-1106 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ao Zhou | 1 | 187 | 28.14 |
| Yan Li | 2 | 0 | 0.68 |
| Jinglin Li | 3 | 150 | 30.39 |