.png){kind=icon}
Return
FUNOff: Offloading Applications at Function Granularity for Mobile Edge Computing
.png){kind=icon}
PRE
AI
DOI：10.1109/TMC.2023.3240741.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Mobile edge computing (MEC) offers a promising technology that deploys computing resources closer to mobile devices for improving performance. Most of the existing studies support on-demand remote execution of the computing tasks in applications through program transformation, but they commonly assume that mobile devices merely resort to a single server for computation offloading, which cannot make full use of the scattered and changeable computing resources. Thus, for object-oriented applications, we propose a novel approach, called FUNOff, to support the dynamic offloading of applications in MEC at the function granularity. First, we extract a call tree via code analysis and locate the function invocations that are suitable for offloading. Next, we refactor the code of related object functions according to a specific program structure. Finally, we make offloading decisions referring to the context at runtime and send function invocations to multiple remote servers for execution. We evaluate the proposed FUNOff on two real-world applications. The results show that, compared with other approaches, FUNOff better supports the computation offloading of object-oriented applications in MEC, which reduces the response time by 10.7%-58.2%.
Keywords:
Mobile edge computing
computation offloading
code analysis
object-oriented application
software adaptation
Journal
IF:
9.2
Papers:
5.9K
Citations:
1.8W
Organization
View more organizations
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSaveMobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning
OAAI
OAAIShareSave View more