A scalable multiprocessor architecture for pervasive computing

Abstract

In a case study of a pervasive computing system, we have implemented a system for a JPEG encoding application. The previous system uses static deployment of computing resources, which limits computation capability.To address this limitation, this paper proposes a novel scalable architecture that allows extending a system by adding new subsystems, to meet increasing computation requirements. The novel architecture allows several subsystems to share their Resource Routers (RRs) and Processing Elements (PEs) to improve the efficiency of PEs by introducing a Share Degree (SD) mechanism. Experimental results show that when SD is equal to three, the system achieves the highest performance. © 2011 Springer-Verlag.