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Moura, J., Marinheiro, R. N. & Silva, J. (2022). Game theory for cooperation in multi-access edge computing. In Research anthology on edge computing protocols, applications, and integration. (pp. 229-279).: IGI Global.

J. A. Moura et al.,  "Game theory for cooperation in multi-access edge computing", in Research anthology on edge computing protocols, applications, and integration, IGI Global, 2022, pp. 229-279

@incollection{moura2022_1732209791240,
	author = "Moura, J. and Marinheiro, R. N. and Silva, J.",
	title = "Game theory for cooperation in multi-access edge computing",
	chapter = "",
	booktitle = "Research anthology on edge computing protocols, applications, and integration",
	year = "2022",
	volume = "",
	series = "",
	edition = "",
	pages = "229-229",
	publisher = "IGI Global",
	address = "",
	url = "https://www.igi-global.com/book/research-anthology-edge-computing-protocols/296714"
}

TY  - CHAP
TI  - Game theory for cooperation in multi-access edge computing
T2  - Research anthology on edge computing protocols, applications, and integration
AU  - Moura, J.
AU  - Marinheiro, R. N.
AU  - Silva, J.
PY  - 2022
SP  - 229-279
DO  - 10.4018/978-1-6684-5700-9.ch012
UR  - https://www.igi-global.com/book/research-anthology-edge-computing-protocols/296714
AB  - Cooperative strategies amongst network players can improve network performance and spectrum utilization in future networking environments. Game Theory is very suitable for these emerging scenarios, since it models high-complex interactions among distributed decision makers. It also finds the more convenient management policies for the diverse players (e.g., content providers, cloud providers, edge providers, brokers, network providers, or users). These management policies optimize the performance of the overall network infrastructure with a fair utilization of their resources. This chapter discusses relevant theoretical models that enable cooperation amongst the players in distinct ways through, namely, pricing or reputation. In addition, the authors highlight open problems, such as the lack of proper models for dynamic and incomplete information scenarios. These upcoming scenarios are associated to computing and storage at the network edge, as well as, the deployment of large-scale IoT systems. The chapter finalizes by discussing a business model for future networks.
ER  -