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Trustworthy autonomic architecture (TAArch): Implementation and empirical investigation

Trustworthy autonomic architecture (TAArch): Implementation and empirical investigation

Eze, Thaddeus and Anthony, Richard (2014) Trustworthy autonomic architecture (TAArch): Implementation and empirical investigation. International Journal On Advances in Intelligent Systems, 7 (1-2). pp. 279-301. ISSN 1942-2679

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This paper presents a new architecture for trustworthy autonomic systems. This trustworthy autonomic architecture is different from the traditional autonomic computing architecture and includes mechanisms and instrumentation to explicitly support run-time self-validation and trustworthiness. The state of practice does not lend itself robustly enough to support trustworthiness and system dependability. For example, despite validating system's decisions within a logical boundary set for the system, there’s the possibility of overall erratic behaviour or inconsistency in the system emerging for example, at a different logical level or on a different time scale. So a more thorough and holistic approach, with a higher level of check, is required to convincingly address the dependability and trustworthy concerns. Validation alone does not always guarantee trustworthiness as each individual decision could be correct (validated) but overall system may not be consistent and thus not dependable. A robust approach requires that validation and trustworthiness are designed in and integral at the architectural level, and not treated as add-ons as they cannot be reliably retro-fitted to systems. This paper analyses the current state of practice in autonomic architecture, presents a different architectural approach for trustworthy autonomic systems, and uses a datacentre scenario as the basis for empirical analysis of behaviour and performance. Results show that the proposed trustworthy autonomic architecture has significant performance improvement over existing architectures and can be relied upon to operate (or manage) almost all level of datacentre scale and complexity.

Item Type: Article
Additional Information: "IARIA journals are made available for free, proving [sic] the appropriate references are made when their content is used."
Uncontrolled Keywords: trustworthy architecture; trustability; validation; datacentre; autonomic system; dependability; stability; autonomic architecture
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Last Modified: 04 Mar 2022 13:08

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