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2019 | OriginalPaper | Chapter

13. One-Player Game Based Influential Maximization Scheme for Social Cloud Service Networks

Author : Sungwook Kim

Published in: Game Theory for Networking Applications

Publisher: Springer International Publishing

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Abstract

An effective interaction between the Social Network Services (SNS) and Cloud Computing (CC) enables the connection of people to the ubiquitous computing universe. The integration of SNS and CC is a technological revolution that presents the future of connectivity and reachability. This study explores the novel paradigm for future Internet of Things (IoT). Although there have been some studies in social-driven IoT, they merely consider the CC technique to improve service qualities and influences. In this study, S. Kim develops a novel cloud based SNS control scheme based on the reinforcement learning approach. To maximize the total SNS system performance, social services have been adaptively executed in the cloud system while taking into account the social welfare. This study can capture the properties of SNS and CC, and provides an effective solution for the social cloud system.

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previous chapter Stable and Efficient Structures for the Content Production and Consumption in Information Communities

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Title: One-Player Game Based Influential Maximization Scheme for Social Cloud Service Networks
Author: Sungwook Kim
Publisher: Springer International Publishing
Book: Game Theory for Networking Applications
Print ISBN: 978-3-319-93057-2

Electronic ISBN: 978-3-319-93058-9

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-93058-9_13

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