Optimal Service Caching and Pricing in Edge Computing: A Bayesian Gaussian Process Bandit Approach

Motivated by the emergence of function-as-a-service (FaaS) as a programming abstraction for edge computing, we consider the problem of caching and pricing applications for edge computation offloading in a dynamic environment where Wirelesss Devices (WDs) can be active or inactive at any point in tim...

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Veröffentlicht in:	IEEE transactions on mobile computing Jg. 23; H. 1; S. 705 - 718
Hauptverfasser:	Tutuncuoglu, Feridun, Dan, Gyorgy
Format:	Magazine Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bayesian analysis Bayesian Gaussian process bayesian optimization Cache placement Caching combinatorial optimization Computation offloading Computational modeling Computational modelling Computer games Computer programming congestion games Costs Dynamic environments Edge computing Game Game theory Games Gaussian distribution Gaussian noise (electronic) Gaussian process Gaussian processes Learning algorithms Machine learning Online learning Optimization Placement Polynomial approximation Polynomials Pricing Programming abstractions Servers stackelberg games Task analysis
ISSN:	1536-1233, 1558-0660, 1558-0660
Online-Zugang:	Volltext
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