Markov Chain-based Modeling and Analysis of Checkpointing with Rollback Recovery for Efficient DSE in Soft Real-time Systems

Author(s):  
Siva Satyendra Sahoo ◽  
Bharadwaj Veeravalli ◽  
Akash Kumar
2012 ◽  
Vol 23 (04) ◽  
pp. 831-851 ◽  
Author(s):  
GUOQIANG LI ◽  
XIAOJUAN CAI ◽  
SHOJI YUEN

Timed automata are commonly recognized as a formal behavioral model for real-time systems. For compositional system design, parallel composition of timed automata as proposed by Larsen et al. [22] is useful. Although parallel composition provides a general method for system construction, in the low level behavior, components often behave sequentially by passing control via communication. This paper proposes a behavioral model, named controller automata, to combine timed automata by focusing on the control passing between components. In a controller automaton, to each state a timed automaton is assigned. A timed automaton at a state may be preempted by the control passing to another state by a global labeled transition. A controller automaton properly extends the expressive power because of the stack, but this can make the reachability problem undecidable. Given a strict partial order over states, we show that this problem can be avoided and a controller automaton can be faithfully translated into a timed automaton.


2011 ◽  
Vol 225-226 ◽  
pp. 802-806
Author(s):  
Yi Zhu

With the progress of low-power research on real-time systems, the estimation and analysis of energy consumption of real-time systems becomes a hot topic. Process Algebra is a formal method fit for analyzing the functional properties of real-time systems, but it can not analyze the energy consumption properties. This paper proposes a formal method support for modeling and analyzing energy consumption of real-time software. Resource Timed Communicating Sequential Process (RTCSP) is proposed in this paper can handle it efficiently by extending resource information on Timed Communicating Sequential Process (TCSP). In this paper, the power consumption of instructions in real-time systems is mapped into the resource of RTCSP, the energy consumption of real-time software can be modeled and optimized by using RTCSP, the optimal path algorithm is proposed to calculate the minimum energy consumption reachability path of real-time systems. This formal method improves the accuracy and efficiency of energy calculation, the calculation results can be used to quantitatively analyze and optimize the energy consumption of real-time systems.


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