Visible to the public Computational Intelligence Towards Trusted Cloudlet Based Fog Computing

TitleComputational Intelligence Towards Trusted Cloudlet Based Fog Computing
Publication TypeConference Paper
Year of Publication2020
AuthorsLe, T. V., Huan, T. T.
Conference Name2020 5th International Conference on Green Technology and Sustainable Development (GTSD)
Date PublishedNov. 2020
ISBN Number978-1-7281-9982-5
KeywordsBio-inspired Intelligent, BIOS, cloud computing, cloud-based services, cloudlet, cloudlet trustworthy, cloudlet-based fog computing, Computational Intelligence, computationally intelligent approaches, edge computing, Fog Computing, Fuzzy logic, fuzzy logic-based inference, Human Behavior, Internet of Things, IoT user, Mathematical model, Metrics, mobile computing, multiple cloudlets, optimisation, popular trust, pubcrawl, quality of service, reliability, reputation, required trusted platform module, resilience, Resiliency, Scalability, security, security of data, TPM, Trust, trust value, trust-based reputation, trusted cloudlet-based fog platform, Uncertainty

The current trend of IoT user is toward the use of services and data externally due to voluminous processing, which demands resourceful machines. Instead of relying on the cloud of poor connectivity or a limited bandwidth, the IoT user prefers to use a cloudlet-based fog computing. However, the choice of cloudlet is solely dependent on its trust and reliability. In practice, even though a cloudlet possesses a required trusted platform module (TPM), we argue that the presence of a TPM is not enough to make the cloudlet trustworthy as the TPM supports only the primitive security of the bootstrap. Besides uncertainty in security, other uncertain conditions of the network (e.g. network bandwidth, latency and expectation time to complete a service request for cloud-based services) may also prevail for the cloudlets. Therefore, in order to evaluate the trust value of multiple cloudlets under uncertainty, this paper broadly proposes the empirical process for evaluation of trust. This will be followed by a measure of trust-based reputation of cloudlets through computational intelligence such as fuzzy logic and ant colony optimization (ACO). In the process, fuzzy logic-based inference and membership evaluation of trust are presented. In addition, ACO and its pheromone communication across different colonies are being modeled with multiple cloudlets. Finally, a measure of affinity or popular trust and reputation of the cloudlets is also proposed. Together with the context of application under multiple cloudlets, the computationally intelligent approaches have been investigated in terms of performance. Hence the contribution is subjected towards building a trusted cloudlet-based fog platform.

Citation Keyle_computational_2020