Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework
Marie Siew, Shikhar Sharma, Kun Guo, Desmond Cai, Wanli Wen, Carlee, Joe-Wong, Tony Q.S. Quek

TL;DR
This paper proposes a resource re-selling framework in MEC where reservation users can sell unused resources to on-demand users, analyzed through a game-theoretic model to optimize MNO revenue and resource utilization.
Contribution
It introduces a novel Sharing Quota Model (SQM) for resource re-selling in MEC and characterizes optimal strategies using a Stackelberg game approach.
Findings
Re-selling improves MNO revenue when on-demand supply is low.
Optimal pricing strategies depend on supply levels and commission rates.
The model identifies four user behavior regions based on prices and supply.
Abstract
On-demand and resource reservation pricing models have been widely used in cloud computing, catering to different user requirements. Nevertheless, in Multi-Access Edge Computing (MEC), as the edge has limited resources compared to the cloud, on-demand users may not get their jobs served on time, or at all, if too many resources were reserved by reservation plan users. Concurrently, reservation plan users may possess excess un-utilized quota. To optimize this resource mismatch scenario, we propose a Sharing Quota Model (SQM) where reservation plan users can re-sell unused resource quota to on-demand users, with the mobile network operator (MNO) taking a commission. To analyze the user's aggregate behavior at equilibrium and investigate the MNO's incentive of allowing re-selling, we formulate a 3-stage non-cooperative Stackelberg Game. Solving this game, we characterize the optimal…
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Taxonomy
TopicsCloud Computing and Resource Management
