Dynamic Power Management of Complex Systems Using Flow Model

摘要：

Using software engineering tool Flow Model, a new technique for modeling and solving the Dynamic Power Management (DPM) problem for systems with complex behavioral characteristics will be presented in this paper. We can model the system easily. By the help of Poisson process, Markov decision process, and GSPN, the model can be converted to a Generalized Stochastic Petri Net (GSPN) and then to an isomorphic continuous-time Markov decision process.From the corresponding Markov decision process and Poisson process,we can calculate the optimal DPM policy. Experimental results show that the proposed technique can achieve more than 12％ power saving compared to other DPM techniques.

作者: Chen Tianzhou Huang Jiangwei Ye Minjiao Lian Yi

作者单位: College of Computer Science, Zhejiang University,Hangzhou, Zhejiang, 310027 P.R.China

会议类型: 国际会议

会议名称: 首届嵌入式软件与系统国际会议(Proceedings of the First International Conference on Embedded Software and System)

会议地点: 杭州

会议语种:英文

页码: 385-391

在线出版日期: 2004-12-09（万方平台首次上网日期，不代表论文的发表时间）