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InfoResearchPeer-reviewed
Data Aggregation Mechanisms With Dynamic Integrity Trustworthiness Evaluation Framework for Datacenters
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Summary
Researchers propose a data fusion framework for datacenters that adds a trustworthiness check on data sources. It pairs a time-aware trust model built on dynamic Bayesian networks with a minimum spanning tree (MST) aggregation protocol. On a large benchmark, the method cuts control-center computation cost by 36.6% and communication and storage costs by 23.8% and 34.7%.