An Energy Saving Algorithm Based on User-Provided Resources in Mobile Cloud Computing

In Mobile Cloud Computing (MCC), the data processing and storage for Mobile Terminals (MTs) will be provided on the remote cloud. This technology can extend battery lifetime and increase processing power, but there are several significant issues such as the problem of dead spots or coverage holes. However, this problem is ignored in existing energy saving algorithms and mobile cloud platform design schemes. As a result, the service delay or disconnection would be caused. To this end, we address the problem of dead spots or coverage holes, and propose a energy saving algorithm based on a user-provided resources platform in this paper, called Task Offloading using Self-organized Criticality (TOSOC). This user-provided resources platform could provide the processing capacity based on a cluster of MTs when they are out of service of MCC. Considering the energy limitation of MTs, we propose a energy saving algorithm in user-provided resources platform with a service delay constraint. Numerical results validate the rightness and effectiveness of our proposed TOSOC, and the energy saving with requirement of service delay are proven.