Neuro-Fuzzy Model for Assessing Risk in Cloud Computing Environment

Ahmed, Nada; Abraham, Ajith

doi:10.1007/978-3-319-29504-6_14

Cited by 1 publication

(2 citation statements)

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“…Thus, as one of the significant factors of the task scheduling, the reliability assessment should be deeply considered in the cloud computing platforms [7]. Current assessment methods for cloud computing reliability mainly focus on the security assessment method [8], the risk assessment method [9], and the service assessment method [10]. But these approaches make the reliability assessment only in a narrow aspect point of view.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the corresponding assessment models must have capability to deal with this uncertain information in assessment process. The current methods of reliability assessment include factor analysis [13], utility theory analysis [14], analytic hierarchy process [15,16], Bayesian inference [17,18], fuzzy logic reasoning [9,19], hybrid method [20], and artificial intelligence reasoning [21][22][23]. The factor analysis can express the relationship between multiple attributes by a few weighted factors, which aims to reflect the comprehensive information of the system.…”

Section: Introductionmentioning

confidence: 99%

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Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning

Hang

Pei-li

2016

Journal of Control Science and Engineering

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A reliability assessment method based on evidential reasoning (ER) rule and semiquantitative information is proposed in this paper, where a new reliability assessment architecture including four aspects with both quantitative data and qualitative knowledge is established. The assessment architecture is more objective in describing complex dynamic cloud computing environment than that in traditional method. In addition, the ER rule which has good performance for multiple attribute decision making problem is employed to integrate different types of the attributes in assessment architecture, which can obtain more accurate assessment results. The assessment results of the case study in an actual cloud computing platform verify the effectiveness and the advantage of the proposed method.

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