Workload migration framework for streaming applications on smartphones.
Journal
2014 IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications, Chongqing, China, August 20-22, 2014
Pages
1-8
Date Issued
2014
Author(s)
Abstract
The number and variety of applications for mobile devices continue to grow. However, the resources on mobile devices including computation and storage do not keep pace with the growth. Incorporating the computation capacity on cloud servers into mobile computing has been desired. However, there are numbers of challenging issues to realize it. In this work, we design and implement an elastic computation framework to take advantage the computation capacity on connected devices, to meet the computation demands of ever growing mobile applications. The computation framework enables resource-Aware workload migration between mobile devices and connected computers. The framework was experimented and evaluated on cuckoos framework with Android applications, where communication and computation resources are taken into account. The experiments show that the application can be executed with dynamic allocated resources, either local or remote, to enhance its performance. With the elastic framework, the runtime environment can allocate local and remote resources to mobile applications with resource-Aware policies. © 2014 IEEE.
SDGs
Other Subjects
Cloud computing; Distributed database systems; Embedded systems; Mobile computing; Real time systems; Android applications; Computation capacity; Computation resources; Design and implements; Distributed systems; Migration policy; Streaming applications; Work loads; Mobile cloud computing
Type
conference paper