Abstract
With the maturity of Internet of things (IoT) paradigm, many innovative services are being conceived by integration of existing IoT services. Such services are termed as cross-vertical or cross-domain services. However, catering to real-time response requirement of such services is challenging and resource-constrained Fog nodes provide an alternative to cloud computing to realize end services. In this paper, we present a novel Fog resource aware and forecast based context migration model to address this delay requirement of such unified IoT applications by employing a Fog resource and forecast based mechanism among Fog nodes for minimizing system delay. Algorithms for context migration and required conditions for migrations been presented and simulation results carried out demonstrate the efficacy of the proposed methodology.
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Behera, R.K., Reddy, K.H.K., Roy, D.S. (2020). A Novel Context Migration Model for Fog-Enabled Cross-Vertical IoT Applications. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_25
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DOI: https://doi.org/10.1007/978-981-15-0324-5_25
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Online ISBN: 978-981-15-0324-5
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