Related references
Note: Only part of the references are listed.A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham et al.
IEEE ACCESS (2020)
Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities
Sergey Andreev et al.
IEEE COMMUNICATIONS MAGAZINE (2019)
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Sheng Zhou et al.
IEEE COMMUNICATIONS MAGAZINE (2019)
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Reliable Task Offloading for Vehicular Fog Computing Under Information Asymmetry and Information Uncertainty
Zhenyu Zhou et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback
Lixing Chen et al.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019) (2019)
Speeding Up Distributed Machine Learning Using Codes
Kangwook Lee et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2018)
Wireless Networks for Mobile Edge Computing: Spatial Modeling and Latency Analysis
Seung-Woo Ko et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2018)
Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis, and Implications on Road Traffic
Zhiyuan Jiang et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Collaborative Task Offloading in Vehicular Edge Multi-Access Networks
Guanhua Qiao et al.
IEEE COMMUNICATIONS MAGAZINE (2018)
Security, Privacy, and Fairness in Fog-Based Vehicular Crowdsensing
Jianbing Ni et al.
IEEE COMMUNICATIONS MAGAZINE (2017)
A Survey on Mobile Edge Computing: The Communication Perspective
Yuyi Mao et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)
5G-Enabled Cooperative Intelligent Vehicular (5GenCIV) Framework: When Benz Meets Marconi
Xiang Cheng et al.
IEEE INTELLIGENT SYSTEMS (2017)
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks
Yuxuan Sun et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2017)
AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling
Jingyun Feng et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)
Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
Changsheng You et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2017)
THE SOFTWARE-DEFINED VEHICULAR CLOUD A New Level of Sharing the Road
Insun Jang et al.
IEEE VEHICULAR TECHNOLOGY MAGAZINE (2017)
A Better Model for Job Redundancy: Decoupling Server Slowdown and Job Size
Kristen Gardner et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2017)
Redundancy-d: The Power of d Choices for Redundancy
Kristen Gardner et al.
OPERATIONS RESEARCH (2017)
Efficient Redundancy Techniques for Latency Reduction in Cloud Systems
Gauri Joshi et al.
ACM TRANSACTIONS ON MODELING AND PERFORMANCE EVALUATION OF COMPUTING SYSTEMS (2017)
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
Xueshi Hou et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2016)
LTE-V: A TD-LTE-Based V2X Solution for Future Vehicular Network
Shanzhi Chen et al.
IEEE INTERNET OF THINGS JOURNAL (2016)
Vehicle as a Resource (VaaR)
Sherin Abdelhamid et al.
IEEE NETWORK (2015)
An SMDP-Based Resource Allocation in Vehicular Cloud Computing Systems
Kan Zheng et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
VANET-CLOUD: A GENERIC CLOUD COMPUTING MODEL FOR VEHICULAR AD HOC NETWORKS
Salim Bitam et al.
IEEE WIRELESS COMMUNICATIONS (2015)
Performance and Reliability Analysis of IEEE 802.11p Safety Communication in a Highway Environment
Yuan Yao et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2013)
How to Probe for an Extreme Value
Ashish Goel et al.
ACM TRANSACTIONS ON ALGORITHMS (2010)
Finite-time analysis of the multiarmed bandit problem
P Auer et al.
MACHINE LEARNING (2002)