Paper
26 June 2023 A survey of the accountability framework for jobs of batch computing services
Jiajia Zhang, Fu Liao, Huang Liang, Zheng Wu, Xiaojian Li
Author Affiliations +
Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 1271402 (2023) https://doi.org/10.1117/12.2683670
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China
Abstract
Batch computing services have the characteristics of providing services required by users on demand. Furthermore, failure factors such as resource constraints and scheduling can lead to service violations. The accountability mechanism is essential to be established, which integrates analysis, Network generation, Determination, and Tracing. There are functional modules that have done some research on the parts of the accountability mechanism. However, in order to integrate them into the accountability mechanism, the accountability framework is essential for batch computing services. Therefore, this article aims to present a survey of functional modules of accountability mechanism, presenting and comparing main features described in the literature and challenges of integrating the accountability framework. At the end of this work, we provide suggestions for future research directions.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiajia Zhang, Fu Liao, Huang Liang, Zheng Wu, and Xiaojian Li "A survey of the accountability framework for jobs of batch computing services", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 1271402 (26 June 2023); https://doi.org/10.1117/12.2683670
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KEYWORDS
Clouds

Failure analysis

Analytical research

Factor analysis

Interfaces

Semantics

Network security

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