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Autonomic computing systems utilizing agents for risk mitigation of IT governance


Citation

Anthony Jnr, Bokolo and Che Pa, Noraini and Mohd Aris, Teh Noranis and Nor, Rozi Nor Haizan and Jusoh, Yusmadi Yah (2015) Autonomic computing systems utilizing agents for risk mitigation of IT governance. Jurnal Teknologi (Sciences & Engineering), 77 (18). pp. 49-60. ISSN 0127–9696; ESSN: 2180–3722

Abstract / Synopsis

Risk mitigation has gained relevance during the last years and has helped to solve risk and improve decision making among decision makers in IT Governance. However, there is still a increasing need of developing innovative tools that can help IT Practitioners to solve risk in IT Governance. Existing risk mitigation approaches or tools lacks need for adequate data which is very important in mitigating risk and there is difficulty of mitigating risk generally in IT Governance. This paper present an autonomic computing model developed to mitigate risk; mainly operational and technical in IT Governance by measuring the risk and providing risk report to the management and staffs in organisations. Autonomic Computing Systems (ACSs) are systems that manage themselves. The core of Autonomic Computing Systems are type of agent with advanced capacities for reasoning to measure the risk probability and risk impact based on available data in the knowledge base or previous experiences. The Autonomic Computing Systems provide risk advice aimed at providing decision support to management hence mitigating risk in IT Governance. Data was collected via purposely sampling using interview by case study among 13 Malaysia universities. The data was analyzed by Nvivo to get an insight on the current risk mitigation practices and process, after which a risk mitigation model has been developed using autonomic agents.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Penerbit UTM Press
Keywords: Software autonomic computing; Risk; Risk mitigation agents; IT governance
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 27 Oct 2016 09:00
Last Modified: 14 Nov 2016 09:12
URI: http://psasir.upm.edu.my/id/eprint/43902
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