Open Access

ARTICLE

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

Tao Zheng¹, Wenyi Tang^1,2,4,*, Xingshu Chen^1,3,4, Changxiang Shen^1,3,4

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

* Corresponding Author: Wenyi Tang. Email:

Computers, Materials & Continua 2024, 81(1), 1687-1701. https://doi.org/10.32604/cmc.2024.056141

Received 15 July 2024; Accepted 18 September 2024; Issue published 15 October 2024

Abstract

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 Non-Collaborative 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%.

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Keywords

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