Spontaneous Proximity Clouds: Making Mobile Devices to Collaborate for Resource and Data Sharing

TL;DR

This paper introduces Spontaneous Proximity Clouds, enabling nearby mobile devices to collaborate for resource sharing and application offloading, significantly reducing execution time in mobile cloud computing.

Contribution

It proposes a novel bi-objective offloading middleware, ACOMMA, that leverages collaborative resource sharing among mobile devices for efficient application offloading.

Findings

Achieved 50% reduction in execution time with real benchmarks.

Demonstrated effective collaboration among mobile devices for resource sharing.

Validated the approach with face recognition and Monte-Carlo algorithms.

Abstract

The base motivation of Mobile Cloud Computing was empowering mobile devices by application offloading onto powerful cloud resources. However, this goal can't entirely be reached because of the high offloading cost imposed by the long physical distance between the mobile device and the cloud. To address this issue, we propose an application offloading onto a nearby mobile cloud composed of the mobile devices in the vicinity-a Spontaneous Proximity Cloud. We introduce our proposed dynamic, ant-inspired, bi-objective offloading middleware-ACOMMA, and explain its extension to perform a close mobile application offloading. With the learning-based offloading decision-making process of ACOMMA, combined to the collaborative resource sharing, the mobile devices can cooperate for decision cache sharing. We evaluate the performance of ACOMMA in collaborative mode with real benchmarks Face Recognition and Monte-Carlo algorithms-and achieve 50% execution time gain.