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International Conference on Mobile, Secure, and Programmable Networking

MSPN 2020: Mobile, Secure, and Programmable Networking pp 161–176Cite as

IoT-Edge-Cloud Computing Framework for QoS-Aware Computation Offloading in Autonomous Mobile Agents: Modeling and Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12605))

Abstract

Edge-cloud computing is an emerging computational model that allows offloading of service requests by the autonomous mobile agents from the edge-server to the cloud-server. This is to reduce the network latency prevalent in the cloud-IoT model. However, Quality-of-Service (QoS)-Aware computation offloading in a heterogeneous and dynamic edge-cloud environment remains an open problem. In this paper, we propose a queuing theory-based edge-cloud computing framework for QoS-aware offloading in mobile autonomous agents. This framework model decides whether to execute an incoming request to the edge-server on the edge itself or to offload to one of the heterogeneous cloud servers such that the request’s execution time is the minimum. To model a request’s execution time, we consider the processing capabilities and the queues overheads of the edge and cloud servers, and the edge-cloud communications’ time. The details of the evaluation results, using dataset generated from real-life scenarios, are presented in the paper.

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Acknowledgements

This work was funded by the National Water and Energy Center under Grant 31R215.

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Authors and Affiliations

  1. Distributed Computing and Systems Research Laboratory, Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi, 15551, United Arab Emirates

    Leila Ismail & Huned Materwala

  2. National Water and Energy Center, United Arab Emirates University, Al Ain, Abu Dhabi, 15551, United Arab Emirates

    Leila Ismail & Huned Materwala

Authors
  1. Leila Ismail
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  2. Huned Materwala
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Correspondence to Leila Ismail .

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Editors and Affiliations

  1. Cedric Lab, Cnam, Paris, France

    Samia Bouzefrane

  2. Télécom SudParis, Evry, France

    Maryline Laurent

  3. Cedric Lab, Cnam, Paris, France

    Selma Boumerdassi

  4. LIGM, ESIEE, Noisy-le-Grand, France

    Eric Renault

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Ismail, L., Materwala, H. (2021). IoT-Edge-Cloud Computing Framework for QoS-Aware Computation Offloading in Autonomous Mobile Agents: Modeling and Simulation. In: Bouzefrane, S., Laurent, M., Boumerdassi, S., Renault, E. (eds) Mobile, Secure, and Programmable Networking. MSPN 2020. Lecture Notes in Computer Science(), vol 12605. Springer, Cham. https://doi.org/10.1007/978-3-030-67550-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-67550-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67549-3

  • Online ISBN: 978-3-030-67550-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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