Abstract
Ordo has developed the infrastructure to deal with the Big Data challenge. It allows an organization to semantically enrich and access large amounts of unstructured data. This infrastructure can be run on regular server hardware, with additional nodes added when the amount of data increases. However, adding additional nodes also increases the likelihood of malfunctioning nodes. Therefore, the infrastructure implements failover concepts. Data distribution within the infrastructure takes place without employing a central – and maybe failing – communication point.
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References
M.A. Beyer, A. Lapkin, N. Gall, D. Feinberg, V.T. Sribar, “Big Data” is only the beginning of extreme information management, Apr 2011, http://www.gartner.com/id=1622715
L. George, HBase: The Definitive Guide, 1st edn. (O’Reilly Media, Köln, 2011)
S. Gilbert, N. Lynch, Brewer’s conjecture and the feasibility of consistent, available, partition-tolerant web services. ACM SIGACT News 33(2), 51–59 (2002)
D. Pritchett, BASE: an acid alternative. Queue Object Relational Mapp. 6(3), 48–55 (2008)
D.P. Rodgers, Improvements in multiprocessor system design, in Proceedings of the 12th Annual International Symposium on Computer Architecture (ISCA ’85), Los Alamitos (IEEE Computer Society Press, June 1985), pp. 225–231
W. Vogels, Eventually consistent. Commun. ACM Rural Eng. Dev. 52(1), 40–44 (2009)
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© 2014 Springer International Publishing Switzerland
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Nick, M., Jäger, T., Nussbaum, V., Kramer, K. (2014). High Scalability for Semantic Indexes. In: Wahlster, W., Grallert, HJ., Wess, S., Friedrich, H., Widenka, T. (eds) Towards the Internet of Services: The THESEUS Research Program. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-06755-1_30
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DOI: https://doi.org/10.1007/978-3-319-06755-1_30
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