Ever-increasing functionality and the nonfunctional constraints that must be satisfied by embedded systems lead to an enormous growth in the complexity at the system level. Platform selection for such systems is challenging task as the decision largely affects the successful implementation of embedded system. Conventional way of looking into platform selection as one dimensional problem fails when it comes to complex systems with multiple stakeholders. To overcome this challenge we propose to use 'System Views' methodology for platform analysis and selection. 'System Views' are based on multiple, concurrent views used to address the concerns of the various 'stakeholders' of the system separately. 'System Views' model has been used with success on several large software centric projects. However in this paper, we investigate the use of 'System Views' methodology in embedded system design. A systematic hardware platform selection process based on 'System Views' is presented. Moreover, it is proposed to use this approach in complex architecture systems with multiple stakeholders such as present day embedded systems at various decision making stages.
Time-Sensitive Networking (TSN) is an emerging technology, which enables advancements in applications like industrial automation, automatic vehicle-to-vehicle communication, etc. which hosts various time-critical applications, ensuring bounded latency. The novel idea of this paper is to present OMNET++ simulation-based complex multi-hop TSN network using the native VLAN concept to bring out a cost-effective model for inter-TSN and Intra-TSN domains. This paper investigates the performance of hybrid IEEE standards, ie.IEEE 802.1Qbu and IEEE 802.1Qbv standards. The simulation results show that the combination of these standards, when effectively scheduled in switches will reduce the latency by 3.3 µseconds in time-critical applications. Further, it is observed that in Best effort traffic, frame loss is also very less in the range of 2-5 frames out of 1385 frames. These results certainly will be of great value in more complex TSN deployments.
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