A scalable multiprocessor architecture for pervasive computing

  • Authors:
  • Long Zheng;Yanchao Lu;Jingyu Zhou;Minyi Guo;Hai Jin;Song Guo;Yao Shen;Jiehan Zhou;Jukka Riekki

  • Affiliations:
  • Huazhong University of Science and Technology, Wuhan, China and and The University of Aizu, Aizu-wakamatsu, Japan;Shanghai Jiao Tong University, Shanghai, China;Shanghai Jiao Tong University, Shanghai, China;Shanghai Jiao Tong University, Shanghai, China;Huazhong University of Science and Technology, Wuhan, China;The University of Aizu, Aizu-wakamatsu, Japan;Shanghai Jiao Tong University, Shanghai, China;University of Oulu, Oulu, Finland;University of Oulu, Oulu, Finland

  • Venue:
  • GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
  • Year:
  • 2011

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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.