Cloud-native simulation framework for gossip protocol: Modeling and analyzing network dynamics

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Опубліковано в::PLoS One vol. 20, no. 6 (Jun 2025), p. e0325817
Автор: Samsuddin Samsuddin Wira
Інші автори: Tan, Chee Keong, Wai Peng Wong, Ian K.T. Tan
Опубліковано:
Public Library of Science
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245 1 |a Cloud-native simulation framework for gossip protocol: Modeling and analyzing network dynamics 
260 |b Public Library of Science  |c Jun 2025 
513 |a Journal Article 
520 3 |a This research paper explores the implementation of gossip protocols in cloud native framework through network modeling and simulation analysis. Gossip protocol is known for their decentralized and fault-tolerant nature. Simulating gossip protocols with conventional tools may face limitations in flexibility and scalability, complicating analysis, especially for larger or more diverse networks. In this paper, gossip protocols are tested within the context of cloud native computing, which leverages its scalability, flexibility, and observability. The study aims to assess the performance and feasibility of gossip protocols within cloud-native settings through a simulated environment. The paper delves into the theoretical foundation of gossip protocol, highlights the core components of cloud native computing, and explains the methodology employed in the simulation. A detailed guide has been provided on utilizing cloud-native frameworks to simulate gossip protocols across varied network environments. The simulation analysis provides insights into gossip protocols’ behavior in distributed cloud-native systems, evaluating aspects of scalability, reliability, and observability. This investigation contributes to understanding the practical implications and potential applications of gossip protocol within modern cloud-native architectures, which can also apply to conventional network infrastructure. 
653 |a Simulation 
653 |a Software 
653 |a Computers 
653 |a Computation 
653 |a Infrastructure 
653 |a Adaptability 
653 |a Protocol 
653 |a Information dissemination 
653 |a Communication 
653 |a Modelling 
653 |a Fault tolerance 
653 |a Gossip 
653 |a Flexibility 
653 |a Blockchain 
653 |a Performance assessment 
653 |a Network analysis 
653 |a Legacy systems 
653 |a Cloud computing 
653 |a Simulation analysis 
653 |a Efficiency 
653 |a Economic 
700 1 |a Tan, Chee Keong 
700 1 |a Wai Peng Wong 
700 1 |a Ian K.T. Tan 
773 0 |t PLoS One  |g vol. 20, no. 6 (Jun 2025), p. e0325817 
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