Research and Implementation on Remote Disaster Recovery System

Han, Honglin; Li, Lin; Zhu, Daming

doi:10.1109/csss.2012.223

Cited by 3 publications

(3 citation statements)

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“…Disasters directly interrupt information systems operation, disaffect customers, and compromise business credibility and revenue streams (Gibb & Buchanan, 2006). Therefore, the establishment of a viable DR system for business continuity is important to mitigate risks (Han, Li, & Zhu, 2012), no matter from the aspects of business managers and academicians (Rodger, Bhatt, Chaudhary, Kline, & McCloy, 2015).…”

Section: Information System Disaster Recovery Site Problemsmentioning

confidence: 99%

“…A comprehensive approach to business continuity planning seeks to mitigate all major interruptions of business systems with backup systems. Thus, the backup information infrastructure has become critical to enterprises (Han et al, 2012). …”

Section: Information System Disaster Recovery Site Problemsmentioning

confidence: 99%

“…Defining DR Objectives is the key step in developing business continuity plan for mapping business processes and associated resources and establishing appropriate monitoring and control mechanisms. Since the establishment of a viable DR system for business continuity is important to mitigate risks (Han et al, 2012), once the risks and their impacts have been defined, the DR technologies can be selected to meet the data protection requirements of the organization (Bertrand, 2005). Therefore, DR objectives (C) ties closely to IT System Availability (B) and Disaster Readiness exercises (D) because of the resumption of full operations after a period of recovery time that requires data, platforms, applications, and people.…”

Section: Prioritization Of the Dimensions And The Influence Relationsmentioning

confidence: 99%

See 2 more Smart Citations

Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data

Yang

Huang²,

Kao

et al. 2017

EURASIA J MATH SCI T

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The most dramatic factor shaping the future of higher education is Big Data and analytics. In the Big Data era, the explosive growth of massive data manipulations imposes a heavy burden on computation, storage, and communication in data centers. Increasing uncertainties in information system availability have become a daily serious problem. An appropriate evaluation and selection of the right information system disaster recovery (DR) site can ensure business continuity and investment optimization. However, most academic institutes always neglect the importance of DR. Not to mention the DR sites in the era of Big Data. Existing research results do not evaluate or select DR sites in general or those for academic Big Data applications in particular. Therefore, this research aims to establish an analytic framework for evaluating, selecting DR sites for academic Big Data. The proposed analytic framework is consisting of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based network process (DNP) and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. An empirical study based on a real Big Data DR application of an Asian high-performance computer center's evaluation and selection of DR sites for academic Big Data is used to illustrate the feasibility of the proposed framework. The analytic results can serve as a foundation for information technology administrators' strategies to reduce the performance gaps of a DR site for Big Data manipulations in general, and academic Big Data manipulations in special.

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Section: Information System Disaster Recovery Site Problemsmentioning

confidence: 99%

Section: Information System Disaster Recovery Site Problemsmentioning

confidence: 99%