Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing

Siew, Marie; Cai, Desmond; Li, Lingxiang; Quek, Tony Q. S.

doi:10.1109/tnse.2020.3003051

Cited by 24 publications

(8 citation statements)

References 32 publications

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“…Authors of [23] have proposed a mechanism for the management of CPU and radio resources of a single access point with the aim of minimizing the long term energy consumption of both the server and the mobile terminals. A detailed sharing business model is presented in [24]. Here users of a MEC server cluster can rent unutilized CPU-share quotas in exchange for additional income.…”

Section: Related Workmentioning

confidence: 99%

Joint Management of Compute and Radio Resources in Mobile Edge Computing: A Market Equilibrium Approach

Moro

Filippini

2023

IEEE Trans. on Mobile Comput.

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Edge computing has been recently introduced to bring computational capabilities closer to end-users of modern network-based services, supporting existing and future delay-sensitive applications by effectively addressing the high propagation delay issue that affects cloud computing. However, the problem of efficiently and fairly managing the system resources presents particular challenges due to the limited capacity of both edge nodes and wireless access networks and the heterogeneity of resources and services' requirements. To this end, we propose a techno-economic market where service providers act as buyers, securing both radio and computing resources to execute their associated end-users' jobs while being constrained by a budget limit. We design an allocation mechanism that employs convex programming to find the unique market equilibrium point that maximizes fairness while ensuring that all buyers receive their preferred resource bundle. Additionally, we derive theoretical properties that confirm how the market equilibrium approach strikes a balance between fairness and efficiency. We also propose alternative allocation mechanisms and give a comparison with the market-based mechanism. Finally, we conduct simulations to numerically analyze and compare the performance of the mechanisms and confirm the market model's theoretical properties.

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Section: Related Workmentioning

confidence: 99%

Joint Management of Compute and Radio Resources in Mobile Edge Computing: A Market Equilibrium Approach

Moro

Filippini

2023

IEEE Trans. on Mobile Comput.

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“…The CDT process is highly dependent on intangible assets with transferable business functions and diversified business models that provide opportunities for enterprises to adjust their taxable income for tax avoidance. For example, big data technology, such as Augmented Reality and Virtual Reality, enables enterprises to obtain real-time data related to product operations, commodity transactions, and user feedback, and collaborate with upstream and downstream multi-agents in the industrial chain to exchange information through a data-sharing platform to update the taxable income amount in real time, such as the customized digital service revenue model (Rayna et al, 2015) and the dynamic pricing mechanism based on real-time updating of digital resource-sharing quotas (Siew et al, 2020). Additionally, enterprises pay more attention to data encryption when using big-data technology to communicate with industry chain participants through data interactions.…”

Section: Hypotheses Developmentmentioning

confidence: 99%

“…For example, big data technology, such as Augmented Reality and Virtual Reality, enables enterprises to obtain real-time data related to product operations, commodity transactions, and user feedback, and collaborate with upstream and downstream multi-agents in the industrial chain to exchange information through a data-sharing platform to update the taxable income amount in real time, such as the customized digital service revenue model (Rayna et al. , 2015) and the dynamic pricing mechanism based on real-time updating of digital resource-sharing quotas (Siew et al. , 2020).…”

Section: Hypotheses Developmentmentioning

confidence: 99%

Is corporate digital transformation a tax haven?

Chen

Meng

2023

IJMF

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PurposeCorporate digital transformation (CDT) has challenged traditional tax administration systems. This study examines the impact of CDT on tax avoidance behavior and tests whether tax authorities can identify this behavior.Design/methodology/approachUsing data on listed companies on the Shanghai and Shenzhen Stock Exchanges from 2008 to 2020, this study applies the Heckman two-stage and cross-section models.FindingsThe results show that the higher the degree of CDT, the more aggressive the tax avoidance behavior. The CDT's impact on corporate tax avoidance is more significant under strong government tax efforts.Originality/valueThis study expands research on the economic consequences of CDT and the factors influencing corporate tax avoidance behavior. Moreover, it has important implications for governments to monitor tax avoidance behavior under the CDT, improve digital tax systems, and pay more attention to the tax administration of digital assets.

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“…As a result, reducing latency while simultaneously increasing consumption is the ideal solution in edge computing. Siew et al (2020) presented a sharing economy‐inspired business model for resource sharing in edge computing. The evaluation is carried out for the varying edge devices and improves the profit by increasing the social welfare.…”

Section: Related Workmentioning

confidence: 99%

A convex problem optimization solution for information management in edge computing platforms

Saad

Al-Makhadmeh

2022

Expert Systems

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Intelligent computing and social optimization techniques have been used to manage mobile edge (ME) environments for pervasive services. However, the service demand is the prime cause for requiring flawless information management. This article proposes a coherent information management (CIM) process for resolving the convex optimization problems by considering the flaws in raw information management. The information management problem for pervasiveness is defined as a nonlinear problem for user-to-information availability. According to the CIM, pervasive convergence is identified for the available information. Furthermore, convolutional neural learning identifies unavailable or utilized information between the service provider and the end-user layers. This identification improves the training rate for convergence improvement and information coherency. Therefore, the nonlinear pervasiveness is distributed between different service providers, improving efficiency. Therefore, the proposed optimization method achieves a 7.4% high admittance ratio, 8.28% high utilization, 25.25% less allocation time, and 24.4% less waiting time for different availability ratios for different information availability ratios.

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Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing

Cited by 24 publications

References 32 publications

Joint Management of Compute and Radio Resources in Mobile Edge Computing: A Market Equilibrium Approach

Joint Management of Compute and Radio Resources in Mobile Edge Computing: A Market Equilibrium Approach

Is corporate digital transformation a tax haven?

A convex problem optimization solution for information management in edge computing platforms

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