scholarly journals Supporting the Creation of Digital Twins for CESs

Author(s):  
Emilia Cioroaica ◽  
Thomas Kuhn ◽  
Dimitar Dimitrov

AbstractOne important behavioral aspect of collaborative embedded systems (CESs) is their trustworthiness, which can be assessed at runtime by evaluating their software and system components virtually. The key idea behind trust evaluation at runtime is the assessment of system interactions and consideration of an extended set of actors that influence the dynamicity of these systems. In this sense, the behavior of collaborative embedded systems and collaborative system groups (CSGs) is part of a more complex behavior of digital ecosystems that form around the collaborating systems. One way of performing runtime virtual evaluation of such complex behavior is through the implementation of digital twins (DTs). DTs are executable models fed with real-time data that allow behavior to be observed and analyzed in concrete technical situations. The use of digital twins enables goals to be evaluated in holistic scenarios at three different levels: strategic level, tactical level, and operational level, as we present in this chapter.

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Woochul Kang ◽  
Jaeyong Chung

With ubiquitous deployment of sensors and network connectivity, amounts of real-time data for embedded systems are increasing rapidly and database capability is required for many embedded systems for systematic management of real-time data. In such embedded systems, supporting the timeliness of tasks accessing databases is an important problem. However, recent multicore-based embedded architectures pose a significant challenge for such data-intensive real-time tasks since the response time of accessing data can be significantly affected by potential intercore interferences. In this paper, we propose a novel feedback control scheme that supports the timeliness of data-intensive tasks against unpredictable intercore interferences. In particular, we use multiple inputs/multiple outputs (MIMO) control method that exploits multiple control knobs, for example, CPU frequency and the Quality-of-Data (QoD) to handle highly unpredictable workloads in multicore systems. Experimental results, using actual implementation, show that the proposed approach achieves the target Quality-of-Service (QoS) goals, such as task timeliness and Quality-of-Data (QoD) while consuming less energy compared to baseline approaches.


2012 ◽  
Vol 42 (11) ◽  
pp. 6-12 ◽  
Author(s):  
Mukesh Kumar ◽  
Sanjeev Sharma ◽  
Mansav Joshi

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER

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