Energy saving strategy and Nash equilibrium of hybrid P2P networks

Ma, Zhanyou; Zhang, Changzhen; Zhang, Liyuan; Wang, Shunzhi

doi:10.1016/j.jpdc.2021.06.009

Cited by 11 publications

(2 citation statements)

References 17 publications

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“…One of the strategies to decrease energy consumption is allowing the peer to cycle between normal mode and sleep mode. In recent years, there were several papers that also studied the P2P network from this aspect.Ma et al [17] modeled the hybrid P2P network using a queueing model to address the "free-riding" phenomenon in the P2P network, distinguished between requesting nodes of different reputation and introduced a work/sleep mechanism for the serving nodes. Trunfio [18] proposed a sleep-wake method, by allowing peer nodes to cycle between normal and sleep modes to save energy.…”

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confidence: 99%

Performance analysis of a queueing system based on working vacation with repairable fault in the P2P network

Wang

et al. 2023

J Supercomput

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Nowadays, P2P (Peer-to-Peer) absolutely dominates the Internet as a traffic in content distribution and sharing service, the issue of energy consumption has emerged as a hot issue. This paper combines the basic theoretical knowledge of queueing theory with the currently more popular hybrid P2P network structure model. In order to address the problem of wasted energy consumption generated by unnecessary online behavior of nodes, the working sleep mechanism for the serving nodes is introduced, and the synchronous multiple working vacation strategy is also adopted to decrease the system energy consumption. In the meantime, negative customer and feedback strategies are introduced. Then a queueing model with working vacation and repairable fault is built, which used to simulate the resource transmission process of P2P and to study the performance of P2P sharing system. The steady-state probability vector is derived by employing quasi-birth-and-death process (QBD) and matrix-geometric solution method. And the expressions for system performance indicators, such as the average delay, are obtained by employing Gauss-Seidel iteration method. Through numerical experiments, the performance indicators of the P2P resource sharing system are studied, which provides a theoretical basis to decrease online energy consumption of nodes in the P2P network system. And through employing Nash equilibrium and social optimal strategy, the value of the social maximum benefit under the social optimization is obtained.

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Performance analysis of a queueing system based on working vacation with repairable fault in the P2P network

Wang

et al. 2023

J Supercomput

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“…Then the sample set is normalized so that the data in the sample set are dimensionless [12]. Then the projection index function is constructed and the sample set is synthesized to obtain the synthetic sample set ( ) a i , which is then transformed into a one-dimensional projection value in the projection direction by the following formula [13].…”

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A co-orbiting multi-satellite edge computing offload method for LEO constellation networks considering mission request energy consumption

Xiao¹,

Shen²,

Jin³

2023

International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023)

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In this paper, we propose an offloading method for edge computing that takes into account the energy consumption of task requests, constructs and analyzes a co-tracked multi-star structure, calculates the individual task delay and builds a multi-layer edge projection pursuit (MLEPP) model to calculate the optimal offloading location. The experimental results show that this method has lower average offloading delay and higher offloading efficiency.

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Performance analysis of P2P networks with malicious nodes

Liu

Wang

2022

Cluster Comput

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Energy saving strategy and Nash equilibrium of hybrid P2P networks

Cited by 11 publications

References 17 publications

Performance analysis of a queueing system based on working vacation with repairable fault in the P2P network

Performance analysis of a queueing system based on working vacation with repairable fault in the P2P network

A co-orbiting multi-satellite edge computing offload method for LEO constellation networks considering mission request energy consumption

Performance analysis of P2P networks with malicious nodes

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