Paper Info
Title
Big-Data In Cloud Computing: A Taxonomy Of Risks
Abstract
Introduction. Technological advances have enabled storing, processing, analysing, retrieving and reporting large amounts of data residing on servers accessible by the Internet, referred to here as big-data in cloud computing. As with many technological advances, this new environment creates new risks.Method. A grid, coupling the uses of information with various levels of aggregation of information, informs a scenario-based analysis of risks that are discussed in three categories: Data sources, cloud computing and big-data.Analysis. Data source risks are analysed in four categories: Data quality, data privacy, data security and data integration. Cloud computing risks are analysed in these four categories plus vendor risk. Finally big-data risks are analysed.Results. Given the above structure, over forty separate risks are articulated and discussed. These risks can inform risk analyses performed by organizations that have migrated or are migrating to big-data and cloud computing environments.Conclusions. Given these risks, a sample five-step process for risk management is proposed. The overall conclusion is that risks in big-data and cloud computing environments may be managed in ways beneficial for all affected parties, including those generating the data, those using the data and all others profiting from it.
Year
Venue
Field
2013
INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL
Data science,Computer science,Knowledge management,Big data,Cloud computing
DocType
Volume
Issue
Journal
18
1
ISSN
Citations 
PageRank 
1368-1613
6
0.47
References 
Authors
0
1
Name
Order
Citations
PageRank
Holmes E. Miller11810.01