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Resource Trading in Edge Computing-enabled IoV: An Efficient
  Futures-based Approach

Resource Trading in Edge Computing-enabled IoV: An Efficient Futures-based Approach

IEEE Transactions on Services Computing (IEEE TSC), 2021
4 January 2021
Minghui Liwang
Ruitao Chen
Xianbin Wang
ArXiv (abs)PDFHTML

Papers citing "Resource Trading in Edge Computing-enabled IoV: An Efficient Futures-based Approach"

3 / 3 papers shown
Bandwidth Reservation for Time-Critical Vehicular Applications: A Multi-Operator Environment
Bandwidth Reservation for Time-Critical Vehicular Applications: A Multi-Operator EnvironmentIEEE transactions on consumer electronics (IEEE TCE), 2025
Abdullah Al-Khatib
Abdullah Ahmed
Klaus Moessner
Holger Timinger
247
1
0
22 Mar 2025
Matching-based Hybrid Service Trading for Task Assignment over Dynamic
  Mobile Crowdsensing Networks
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing NetworksIEEE Transactions on Services Computing (IEEE TSC), 2023
Houyi Qi
Minghui Liwang
Seyyedali Hosseinalipour
Xiaoyu Xia
Zhipeng Cheng
Xianbin Wang
Zhenzhen Jiao
196
24
0
25 Jun 2023
Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading
  in Mobile Edge Networks
Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks
Minghui Liwang
Ruitao Chen
Xianbin Wang
Xuemin
X. Shen
145
23
0
16 Aug 2021
1
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