Multi-cloud resource scheduling intelligent system with endogenous security

Nishui Cai; Guofeng He; Nishui Cai; Guofeng He

doi:10.3934/era.2024064

Electronic Research Archive

2024, Volume 32, Issue 2: 1380-1405. doi: 10.3934/era.2024064

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Multi-cloud resource scheduling intelligent system with endogenous security

Nishui Cai ^,,
Guofeng He

Institute of Security Technology, China Telecom Research Institute, B23, China Telecom Information Park, Shanghai 310000, China

Received: 17 November 2023 Revised: 16 January 2024 Accepted: 24 January 2024 Published: 02 February 2024

A secure and reliable intelligent multi-cloud resource scheduling system in cyberspace is especially important in some industry applications. However, this task has become exceedingly challenging due to the intricate nature of information, the variety of knowledge representations, the compatibility of diverse knowledge reasoning engines, and the numerous security threats found in cloud networks. In this paper, we applied the endogenous security theory to the multi-cloud resource scheduling intelligent system and presented a novel model of the system. The proposed model incorporates various knowledge representations and inference engines, resulting in a multi-cloud resource scheduling intelligent system that ensures endogenous security. In addition, we have devised a scheme for an intelligent system that schedules multi-cloud resources using dual-channels and has an endogenous security mechanism, which we have named Dynamic, Heterogeneous, and Redundant (DHR). Finally, we have used the multi-cloud resource scheduling intelligent run log database to carry out numerous experiments to validate the efficiency of the dual-channel redundant reasoning system with the endogenous security mechanism's DHR property. The results of the experiment demonstrated that the multi-cloud resource intelligent scheduling system model with an endogenous security mechanism was superior to the current single-channel inference system scheme in regards to security and reliability.
- multi-cloud resource scheduling,
- intelligent system,
- endogenous security,
- AI algorithm,
- rule-based reasoning,
- system reliability
Citation: Nishui Cai, Guofeng He. Multi-cloud resource scheduling intelligent system with endogenous security[J]. Electronic Research Archive, 2024, 32(2): 1380-1405. doi: 10.3934/era.2024064

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Abstract

A secure and reliable intelligent multi-cloud resource scheduling system in cyberspace is especially important in some industry applications. However, this task has become exceedingly challenging due to the intricate nature of information, the variety of knowledge representations, the compatibility of diverse knowledge reasoning engines, and the numerous security threats found in cloud networks. In this paper, we applied the endogenous security theory to the multi-cloud resource scheduling intelligent system and presented a novel model of the system. The proposed model incorporates various knowledge representations and inference engines, resulting in a multi-cloud resource scheduling intelligent system that ensures endogenous security. In addition, we have devised a scheme for an intelligent system that schedules multi-cloud resources using dual-channels and has an endogenous security mechanism, which we have named Dynamic, Heterogeneous, and Redundant (DHR). Finally, we have used the multi-cloud resource scheduling intelligent run log database to carry out numerous experiments to validate the efficiency of the dual-channel redundant reasoning system with the endogenous security mechanism's DHR property. The results of the experiment demonstrated that the multi-cloud resource intelligent scheduling system model with an endogenous security mechanism was superior to the current single-channel inference system scheme in regards to security and reliability.

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