Pricing optimization in mec systems: maximizing resource utilization through joint server configuration and dynamic operation

Huang, Xiaowen, Huang, Tao, Zhang, Wenjie, Yeo, Chai Kiat, Zhao, Shuguang, and Guanglin, Zhang (2023) Pricing optimization in mec systems: maximizing resource utilization through joint server configuration and dynamic operation. IEEE Transactions on Mobile Computing. (In Press)

[img] PDF (Publisher Accepted Version) - Published Version
Restricted to Repository staff only

View at Publisher Website:


The resource allocation problem in Multi-access Edge Computing (MEC) has been widely studied to maximize its operation efficiency under limited resource constrain. However, the existing literatures overlooked the setup cost and the associated dynamic operations. In this work, we consider server configuration and overload in the multi-server scenario where servers are switched on/off depending on the network environment. A novel pricing mechanism maximizing the utility of base station (BS) monitoring multiple servers is proposed, which jointly optimizes the setup cost and server load. We aim to maximize the BS utility under one-day task requests, and divide the time into off-peak and peak periods based on task requests. In the off-peak period, we flexibly switch on/off servers for BS to reduce setup costs. In the peak period, to avoid overloading, we introduce crowdsourcing where servers as agents purchase idle resources from private users (PUs) for mobile users (MUs) and minimize MUs' cost by a contract-based knapsack algorithm. Lastly, a pricing mechanism is proposed to solve the BS utility maximization problem with an exploratory Upper Confidence Bound (UCB)-based algorithm adjusting server prices dynamically. Simulation results show that the proposed algorithm is superior to others in minimizing MUs cost and maximizing BS utility.

Item ID: 80463
Item Type: Article (Research - C1)
ISSN: 1558-0660
Keywords: Multi-access Edge Computing, pricing mechanism, crowdsourcing, multi-armed bandit
Related URLs:
Copyright Information: © Copyright 2023 IEEE.
Date Deposited: 15 Sep 2023 02:01
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460608 Mobile computing @ 80%
40 ENGINEERING > 4006 Communications engineering > 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) @ 20%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220105 Network systems and services @ 70%
22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220408 Information systems @ 30%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page