期刊
IEEE TRANSACTIONS ON MOBILE COMPUTING
卷 21, 期 11, 页码 4125-4138出版社
IEEE COMPUTER SOC
DOI: 10.1109/TMC.2021.3064314
关键词
Industrial Internet of Things; Task analysis; Resource management; Pricing; Delays; Computational modeling; Edge computing; Double auction; mobile edge computing; industrial Internet of things; truthfulness; budget-balance; padding
资金
- National Natural Science Foundation of China [61773103, 61872073, 62032013]
- LiaoNing Revitalization Talents Program [XLYC1902010]
This paper proposes a truthful combinatorial double auction mechanism for the mobile edge computing system, which guarantees truthfulness and budget-balance. The mechanism considers the locality characteristics of the MEC system and achieves optimal allocation and pricing using padding method and efficient pricing strategy.
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive computing services for industrial Internet of Things (IIoT) applications. How to guarantee truthfulness and budget-balance under locality constraints is an important issue to the allocation and pricing design of the MEC system. In this paper, we propose a truthful combinatorial double auction mechanism, which integrates the padding concept and the efficient pricing strategy to guarantee desirable properties in constrained MEC environments. This mechanism takes into account the locality characteristics of the MEC systems, where mobile devices (MDs) only offload tasks to edge servers (ESs) in the proximity with various requirements, and ESs only serve their neighboring MDs with limited resources. To be specific, for allocation, a linear programming (LP)-based padding method is used to obtain the near-optimal solution in the polynomial time. For pricing, a critical-value-based pricing strategy and a VCG-based pricing strategy are designed for MDs and ESs to achieve truthfulness and budget-balance. Our theoretical analysis confirms that TCDA is able to hold a set of desirable economic properties, including truthfulness, individual rationality, and budget-balance. Furthermore, simulation results validate the theoretical analysis, and verify the effectiveness and efficiency of TCDA.
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