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Mobility Driven Cloud-Fog-Edge Framework for Location-Aware Services: A Comprehensive Review

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Mobile Edge Computing

Abstract

With the pervasiveness of IoT devices, smart-phones and improvement of location-tracking technologies, huge volume of heterogeneous geo-tagged (location specific) data is generated facilitating several location-aware services. The analytics with this spatio-temporal (having location and time dimensions) datasets provide varied important services such as, smart transportation, emergency services (health-care, national defence or urban planning). While cloud paradigm is suitable for the capability of storage and computation, the major bottleneck is network connectivity loss. In time-critical application, where real-time response is required for emergency service-provisioning, such connectivity issues increases the latency and thus affects the overall quality of system (QoS). To overcome the issue, fog/edge topology is emerged, where partial computation is carried out in the edge of the network to reduce the delay in communication. Such fog/edge based system complements the cloud technology and extends the features of the system. This chapter discusses cloud-fog-edge based hierarchical collaborative framework, where several components are deployed to improve the QoS. On the other side mobility is another critical factor to enhance the efficacy of such location-aware service provisioning. Therefore, this chapter discusses the concerns and challenges associated with mobility-driven cloud-fog-edge based framework to provide several location-aware services to the end-users efficiently.

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Acknowledgment

This work is partially supported by TCS PhD (https://www.tcs.com/research-scholarship-program-computer-science-phds-india) research fellowship.

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  1. Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India

    Shreya Ghosh & Soumya K. Ghosh

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  1. Shreya Ghosh
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Correspondence to Shreya Ghosh .

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  1. Department of Computer Science, Mahishadal Raj College, Mahishadal, West Bengal, India

    Anwesha Mukherjee

  2. Centre of Mobile Cloud Computing Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Debashis De

  3. Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India

    Soumya K. Ghosh

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Ghosh, S., Ghosh, S.K. (2021). Mobility Driven Cloud-Fog-Edge Framework for Location-Aware Services: A Comprehensive Review. In: Mukherjee, A., De, D., Ghosh, S.K., Buyya, R. (eds) Mobile Edge Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-69893-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-69893-5_10

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