Lightweight Trust Enforcement Mechanisms for Resource-Constrained Federated Cloud Controllers

Federated cloud controllers allow team work between many administrative domains but have tough challenges of managing trust because they operate in a decentralised manner and have scarce computing resources. Current their trust enforcement schemes tend to operate over heavyweight cryptographic protocols, centre of authority or consensus based schemes and methods, leading to significant overhead and lack of scalability in resource constrained control planes. In this paper we suggest a lightweight mechanism of trust enforcement designed to apply to federated controllers of cloud operating with severe CPU, memory, energy, and bandwidth requirements. The suggested methodology uses a decentralised trust modelling scheme, which utilises locally observed behavioural evidence and which uses an adaptive resource-conscious enforcement policy, which dynamically controls interactions between controllers. Consistency and soundness in analytical trust analysis establish convergence measures to limited adversarial impact. Ample performance analysis indicates that the suggested scheme leads to lower enforcement latency, lesser resource overhead, and better scalability than believable founder scheme and does not compromise trust accuracy. The findings suggest that the suggested lightweight trust verification framework is appropriate with respect to secure and scalable federated cloud control systems.