Criticality-driven QoS adaptive dynamic resource management for distributed and embedded safety & mission critical systems

Distributed and embedded safety & mission critical systems (DESMCS) execute in open environments which have different dependability requirements. This paper presents a novel criticality-driven QoS adaptive dynamic resource management architecture, which provides middleware services for QoS- and criticality-based resources allocation and adaptation across heterogeneous computing nodes and communication networks. The architecture presented in this paper overcomes the disadvantages of traditional feedback-based static resource management techniques and provides layered criticality-based resource allocation services. It enables the DESMCS to dynamically react to changing resource demands or resources availability and better resources utilization, improved dependability.

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