Designing Bandwidth-Efficient Stabilizing Control Servers

Guaranteeing stability of control applications in embedded systems, or cyber-physical systems, is perhaps the alpha and omega of implementing such applications. However, as opposed to the classical real-time systems where often the acceptance criterion is meeting the deadline, control applications do not primarily enforce hard deadlines. In the case of control applications, stability is considered to be the main design criterion and can be expressed in terms of the amount of delay and jitter a control application can tolerate before instability. Therefore, new design and analysis techniques are required for embedded control systems. In this paper, the analysis and design of such systems considering server-based resource reservation mechanism are addressed. The benefits of employing servers are manifold: (1) providing a compositional framework, (2) protection against other tasks misbehaviors, and (3) systematic bandwidth assignment. We propose a methodology for designing bandwidth-efficient servers to stabilize control tasks

Robustness Analysis of Real-Time Scheduling Against Differential Power Analysis Attacks

Item does not contain fulltextISVLSI 2014 IEEE Computer Society Annual Symposium on VLSI, 9-11 July 2014, Tampa, Florid

Bus access design for combined worst and average case execution time optimization of predictable real-time applications on multiprocessor systems-on-chip

Optimization techniques for improving the average-case execution time of an application, for which predictability with respect to time is not required, have been investigated for a long time in many different contexts. However, this has traditionally been done without paying attention to the worst-case execution time. For predictable real-time applications, on the other hand, the focus has been solely on worst-case execution time optimization, ignoring how this affects the execution time in the average case. In this paper, we show that having a good average-case delay can be important also for real-time applications for which predictability is required. Furthermore, for real-time applications running on multiprocessor systems-on-chip, we present a technique for optimizing the average case and the worst case simultaneously, allowing for a good average-case execution time while still keeping the worst case as small as possible