NCCMF:Non-Collaborative Continuous Monitoring Framework for Container-Based Cloud Runtime Status  

作　　者：Tao Zheng Wenyi Tang Xingshu Chen Changxiang Shen 

机构地区：[1]School of Cyber Science and Engineering,Sichuan University,Chengdu,610065,China [2]Intelligent Policing and National Security Risk Management Laboratory,Luzhou,646000,China [3]Cyber Science Research Institute,Sichuan University,Chengdu,610065,China [4]Key Laboratory of Data Protection and Intelligent Management(Sichuan University),Ministry of Education,Chengdu,610065,China

出　　处：《Computers, Materials & Continua》2024年第10期1687-1701,共15页计算机、材料和连续体（英文）

基　　金：supported in part by the Intelligent Policing and National Security Risk Management Laboratory 2023 Opening Project(No.ZHKFYB2304);the Fundamental Research Funds for the Central Universities(Nos.SCU2023D008,2023SCU12129);the Natural Science Foundation of Sichuan Province(No.2024NSFSC1449);the Science and Engineering Connotation Development Project of Sichuan University(No.2020SCUNG129);the Key Laboratory of Data Protection and Intelligent Management(Sichuan University),Ministry of Education.

摘　　要：The security performance of cloud services is a key factor influencing users’selection of Cloud Service Providers(CSPs).Continuous monitoring of the security status of cloud services is critical.However,existing research lacks a practical framework for such ongoing monitoring.To address this gap,this paper proposes the first NonCollaborative Container-Based Cloud Service Operation State Continuous Monitoring Framework(NCCMF),based on relevant standards.NCCMF operates without the CSP’s collaboration by:1)establishing a scalable supervisory index system through the identification of security responsibilities for each role,and 2)designing a Continuous Metrics Supervision Protocol(CMA)to automate the negotiation of supervisory metrics.The framework also outlines the supervision process for cloud services across different deployment models.Experimental results demonstrate that NCCMF effectively monitors the operational state of two real-world IoT(Internet of Things)cloud services,with an average supervision error of less than 15%.

关 键 词：Container-based cloud non-collaborative continuous monitor runtime status 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]