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.
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||6th International Conference on Grid and Pervasive Computing, GPC 2011|
|Period||11/05/11 → 13/05/11|
- computing resource allocation
- ubiquitous multiprocessor
- Theoretical Computer Science
- Computer Science(all)