Preprint Article Version 2 This version is not peer-reviewed

Fog over Virtualized IoT: New Opportunity for Context-Aware Networked Applications and a Case Study

Version 1 : Received: 19 November 2017 / Approved: 20 November 2017 / Online: 20 November 2017 (10:48:49 CET)
Version 2 : Received: 23 November 2017 / Approved: 24 November 2017 / Online: 24 November 2017 (05:06:27 CET)

A peer-reviewed article of this Preprint also exists.

Naranjo, P.G.V.; Pooranian, Z.; Shamshirband, S.; Abawajy, J.H.; Conti, M. Fog over Virtualized IoT: New Opportunity for Context-Aware Networked Applications and a Case Study. Appl. Sci. 2017, 7, 1325. Naranjo, P.G.V.; Pooranian, Z.; Shamshirband, S.; Abawajy, J.H.; Conti, M. Fog over Virtualized IoT: New Opportunity for Context-Aware Networked Applications and a Case Study. Appl. Sci. 2017, 7, 1325.

Journal reference: Appl. Sci. 2017, 7, 1325
DOI: 10.3390/app7121325

Abstract

In this paper, we discuss the most significant application opportunities and outline the challenges in performing a real-time and energy-efficient management of the distributed resources available at mobile devices and Internet-to-Data Center. We also present an energy-efficient adaptive scheduler for Vehicular Fog Computing (VFC) that operates at the edge of a vehicular network, connected to the served Vehicular Clients (VCs) through an Infrastructure-to-Vehicular (I2V) over multiple Foglets (Fls). The scheduler optimizes the energy by leveraging the heterogeneity of Fls, where the Fl provider shapes the system workload by maximizing the task admission rate over data transfer and computation. The presented scheduling algorithm demonstrates that the resulting adaptive scheduler allows scalable and distributed implementation.

Subject Areas

Vehicular Fog Computing (VFC); Big Data Streaming (BDS); Energy-Efficiency; resource management; Infrastructure-to-Vehicular (I2V)

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