Organic Computing Middleware for Ubiquitous Environments

Roth, Michael; Schmitt, Julia; Kiefhaber, Rolf; Kluge, Florian; Ungerer, Theo

doi:10.1007/978-3-0348-0130-0_22

Cited by 17 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding ubiquitous environments, an organic computing middleware that introduces self-* features has been proposed to cope with increasingly complex computer systems and setups [9]. The middleware is based on a Monitor-Analyse-Plan-Execute (MAPE) cycle to provide self-configuration, selfoptimization, self-healing, and self-protection features.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Self-Explaining Systems in the Context of Intensive Care

Kordts

Kopetz

Schräder

2021

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

A Framework for Self-Explaining Systems in the Context of Intensive Care

Kordts

Kopetz

Schräder

2021

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)

View full text Add to dashboard Cite

show abstract

“…Roth et al [50] used the generic observer/controller pattern in a middleware with an architecture close to the MAPE cycle [51] offering self-healing, self-protection, selfconfiguration and self-optimization enablers to the ordinary services running on the middleware. Each ordinary service must implement a special interface in order to use the desired enabler.…”

Section: Control Mechanisms and The Observer/controller Patternmentioning

confidence: 99%

Macrophage+: a Game With a Purpose for Applying Human Intelligence in Control Mechanisms

et al. 2020

View full text Add to dashboard Cite

Originally, control mechanisms were proposed to replace the need for human intervention in operational environments, and thus, enhance the precision and reaction time. Nowadays, new requirements in computer systems such as adaptation have made the design of control mechanisms more challenging. The Observer/Controller pattern is one of the control mechanisms proposed to control many interacting independent elements by making intelligent decisions. An important challenge in designing these mechanisms is that the knowledge needed for decision making is provided by experts; therefore, the process becomes time consuming and costly, depending on the availability of experts and their costs. In this paper, we hypothesize that employing a Game With A Purpose can help to improve the process of providing knowledge in such control mechanisms by using crowd-sourcing and involving non-expert humans in an enjoyable manner. This hypothesis has been investigated by Macro-phage+, a Game With A Purpose implemented for this goal. We conducted experiments evaluating Macrophage+, focusing on both its applicability and effectiveness in the context of the observer/controller pattern as well as its enjoyability for the players. The results show that Macrophage+ is a successful Game With A Purpose that involves non-expert humans in the application of the observer/controller pattern.

show abstract

“…Another hormone based middleware approach called OCµ respectively AMUN has been proposed in [Rot+11;TTU06]. [Wei+09] describes self-organization in automotive embedded systems.…”

Section: Encapsulating Self-organziation Into Middlewarementioning

confidence: 99%

Comprehensive adaptive middleware for mixed-critical cyber-physical networks

Feist

View full text Add to dashboard Cite

Cyber Physical Systems (CPS) are growing more and more complex due to the availability of cheap hardware, sensors, actuators and communication links. A network of cooperating CPSs (CPN) additionally increases the complexity. This poses challenges as well as it offers chances: the increasing complexity makes it harder to design, operate, optimize and maintain such CPNs. However, on the other side an appropriate use of the increasing resources in computational nodes, sensors, actuators can significantly improve the system performance, reliability and flexibility. Therefore, self-X features like self-organization, self-adaptation and self-healing are key principles for such systems. Additionally, CPNs are often deployed in dynamic, unpredictable environments and safety-critical domains, such as transportation, energy, and healthcare. In such domains, usually applications of different criticality level exist. In an automotive environment for example, the brake has a higher criticality level regarding safety as the infotainment. As a result of mixed-criticality, applications requiring hard real-time guarantees compete with those requiring soft real-time guarantees and best-effort application for the given resources within the overall system. This leads to the need to accommodate multiple levels of criticality while ensuring safety and reliability, which increases the already high complexity even more. This thesis deals with the question on how to conveniently, effectively and efficiently handle the management and complexity of mixed-critical CPNs (MC-CPNs). Since this cannot be done by the system developer without the assistance of the system itself any longer, it is essential to develop new approaches and techniques to ensure that such systems can operate under a range of conditions while meeting stringent requirements. Based on five research hypothesis, this thesis introduces a comprehensive adaptive mixed-criticality supporting middleware for Cyber-Physical Networks (Chameleon), which efficiently and autonomously takes care of the management and complexity of CPNs with regard to the mixed-criticality aspect. Chameleon contributes to the state-of-art by introducing and combining the following concepts: - A comprehensive self-adaption mechanism on all levels of the system model is provided. - This mechanism allows a flexible combination of parametric and structural adaptation actions (relocation, scheduling, tuning, ...) to modify the behavior of the system. - Real-time constraints of mixed-critical applications (hard real-time, soft real-time, best-effort) are considered in all possible adaptation conditions and actions by the use of the importance parameter. - CPNs are supported by the introduction of different scopes (local, system, global) for the adaptation conditions and actions. This also enables the combination of different scopes for conditions and actions. - The realization of the adaptation with a MAPE-K loop instantiated by a distributed LCS allows for real-time capable reasoning of adaptation actions which also works on resource-spare systems. - The developed rule language Rango offers an intuitive way to specify an initial rule set for LCS in the context of CPS/CPNs and supports the system administrators in the process of rule set generation.

show abstract

Organic Computing Middleware for Ubiquitous Environments

Cited by 17 publications

References 13 publications

A Framework for Self-Explaining Systems in the Context of Intensive Care

A Framework for Self-Explaining Systems in the Context of Intensive Care

Macrophage+: a Game With a Purpose for Applying Human Intelligence in Control Mechanisms

Comprehensive adaptive middleware for mixed-critical cyber-physical networks

Contact Info

Product

Resources

About