Adaptive Management Approach for more Availability of Big Data Business Analytics

Samia Chehbi-Gamoura, Ridha Derrouiche, M. Malhotra, H. Koruca
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引用次数: 17

Abstract

With the Big Data management, and the propagation of business lines into complex networks, activities are ever more subject to disasters than ever. It is nearly impossible to forecast their happening and degree of related costs. Accordingly, organizations try to collaborate in risk management. This paper outlines and discusses a generic approach based on Fuzzy Cognitive Maps (FCM) for cross-management of Disaster Recovery Plans (DRP). A set of basics of disaster planning is also provided. The proposed approach is focused on risk assessment methodology. The method is able to aggregate all assessment variables of the whole stakeholders involved in the business network. The main outcomes of this study aim to support networked enterprises in improving risk readiness capability and disaster recovery. Finally, we indicate the open challenges for further researches and an outlook on our future research.
适应性管理方法提高大数据业务分析的可用性
随着大数据管理以及业务线向复杂网络的扩展,各种活动比以往任何时候都更容易受到灾害的影响。要预测灾难的发生和相关成本的程度几乎是不可能的。因此,各组织尝试合作进行风险管理。本文概述并讨论了一种基于模糊认知图(FCM)的通用方法,用于灾难恢复计划(DRP)的交叉管理。本文还提供了一套灾难规划的基础知识。建议的方法侧重于风险评估方法。该方法能够汇总商业网络中所有利益相关者的所有评估变量。本研究的主要成果旨在支持联网企业提高风险准备能力和灾难恢复能力。最后,我们指出了进一步研究的挑战和对未来研究的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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