A congestion game framework for service chain composition in NFV with function benefit
| Autor: | Yuhu Wu, Mitsuru Toyoda, Shuting Le |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer Science::Computer Science and Game Theory
Mathematical optimization Service (systems architecture) Information Systems and Management Computer science media_common.quotation_subject 02 engineering and technology Theoretical Computer Science symbols.namesake Chain (algebraic topology) Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Function (engineering) media_common 05 social sciences 050301 education Computer Science Applications Control and Systems Engineering Nash equilibrium Product (mathematics) symbols 020201 artificial intelligence & image processing 0503 education Game theory Software Congestion game |
| Zdroj: | Information Sciences. 514:512-522 |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2019.11.015 |
| Popis: | The network function virtualization (NFV) is a network paradigm that aims at softwarizing network functions that usually have been implemented on specific hardware devices. In this paper, the service chain composition problem in NFV with function benefit is investigated. Using the non-cooperative game theory, the service chain configuration is converted to the seeking for the Nash equilibrium of the formulated game. The semi-tensor product (STP) of matrices is used as the algebraic tool for the game formulation and the Nash equilibrium calculation. The results on the service chain composition of the NFV are elaborated with a numerical example. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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