Trustworthy Self-optimization in Organic Computing Environments

Msadek, Nizar; Kiefhaber, Rolf; Ungerer, Theo

doi:10.1007/978-3-319-16086-3_10

Cited by 4 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Incorporating trust into the decision-making process allows the system to optimise for expectations, such as the expected probability of success [40]. In [OCT10,OCT11], a self-organising middleware incorporating a trust-aware load-balancing mechanism assigns important services to trustworthy nodes in order to increase the services' expected availability. Similarly, participants of a Desktop Grid Computing system delegate the calculation of jobs to trustworthy agents, i.e.…”

Section: Trust As a Basis For Robust Task Or Resource Allocationmentioning

confidence: 99%

The Social Concept of Trust as Enabler for Robustness in Open Self-Organising Systems

Anders

Seebach

Steghöfer

et al. 2016

Trustworthy Open Self-Organising Systems

Self Cite

View full text Add to dashboard Cite

The participants in open self-organising systems, including users and autonomous agents, operate in a highly uncertain environment in which the agents' benevolence cannot be assumed. One way to address this challenge is to use computational trust. By extending the notion of trust as a qualifier of relationships between agents and incorporating trust into the agents' decisions, they can cope with uncertainties stemming from unintentional as well as intentional misbehaviour. As a consequence, the system's robustness and efficiency increases. In this context, we show how an extended notion of trust can be used in the formation of system structures, algorithmically to mitigate uncertainties in task and resource allocation, and as a sanctioning and incentive mechanism. Beyond that, we outline how the

show abstract

Section: Trust As a Basis For Robust Task Or Resource Allocationmentioning

confidence: 99%