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Vehicular Cloud Computing through Dynamic Computation Offloading

  • Published:2018-05 Issue: Volume:120 Page:125-137
  • ISSN:0140-3664
  • Container-title:Computer Communications
  • language:en
  • Short-container-title:Computer Communications

Author:

Ashok Ashwin,Steenkiste Peter,Bai Fan

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference22 articles.

1. Just-in-time provisioning for cyber foraging;Ha,2013

2. Maui: making smartphones last longer with code offload;Cuervo,2010

3. Comet: code offload by migrating execution transparently;Gordon,2012

4. Enabling vehicular applications using cloud services through adaptive computation offloading;Ashok,2015

5. Adaptive cloud offloading for vehicular applications;Ashok,2016

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1. A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives;IEEE Transactions on Intelligent Vehicles;2023-11

2. An optimal fog-cloud offloading framework for big data optimization in heterogeneous IoT networks;Decision Analytics Journal;2023-09

3. Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator;2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS);2023-07

4. Service Provisioning in Edge-Cloud Continuum: Emerging Applications for Mobile Devices;Journal of Internet Services and Applications;2023-06-20

5. Emerging Technologies for V2X Communication and Vehicular Edge Computing in the 6G era: Challenges and Opportunities for Sustainable IoV;2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2023-06
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