A data dissemination algorithm inspired by SIS model for cloud computing

For large-scale cloud computing platform in an industrial environment, production data reading efficiency is essential, so data items are stored in different nodes of geographical area. Lack of efficient data synchronization algorithms may reduce productivity. This paper introduces a new data distribution algorithm inspired by the Susceptible-Infective- Susceptible (SIS) model to disseminate replicas under the probability restriction of reading the newest data. The experimental results demonstrate that the proposed algorithm can support reliable storage with lower latency and system complexity.