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Fog over virtualized IoT: new opportunity for context-aware networked applications and a case study

Paola Gv Naranjo,Zahra Pooranian,Shahaboddin Shamshirband,J. Abawajy,M. Conti

Published 2017 in Applied Sciences

ABSTRACT

In this paper, we discuss the most significant application opportunities and outline the challenges in real-time and energy-efficient management of the distributed resources available in mobile devices and at the 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.

PUBLICATION RECORD

  • Publication year

    2017

  • Venue

    Applied Sciences

  • Publication date

    2017-12-19

  • Fields of study

    Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.3390/APP7121325
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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