Read e-book online Databases in Networked Information Systems: 8th PDF

By Joachim Biskup (auth.), Aastha Madaan, Shinji Kikuchi, Subhash Bhalla (eds.)

ISBN-10: 3642371337

ISBN-13: 9783642371332

ISBN-10: 3642371345

ISBN-13: 9783642371349

This ebook constitutes the refereed court cases of the eighth foreign Workshop on Databases in Networked details platforms, DNIS 2013, held in Aizu-Wakamatsu, Japan in March 2013. The 22 revised complete papers provided have been conscientiously reviewed and chosen for inclusion within the publication. The workshop often places the focus on facts semantics and infrastructure for info administration and interchange. The papers are geared up in topical sections on cloud-based database structures; details and data administration; details extraction from info assets; bio-medical details administration; and networked info platforms: infrastructure.

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Read or Download Databases in Networked Information Systems: 8th International Workshop, DNIS 2013, Aizu-Wakamatsu, Japan, March 25-27, 2013. Proceedings PDF

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Extra info for Databases in Networked Information Systems: 8th International Workshop, DNIS 2013, Aizu-Wakamatsu, Japan, March 25-27, 2013. Proceedings

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Many cloud providers then introduced support for atomic access to individual data items, in essence, providing atomicity guarantees for a single key-value pair. Atomic access of single data items is sufficient for many applications. However, if several data items must be updated atomically, the burden to implement this atomic action in a scalable, fault tolerant manner lies with the software developer. Several recent works have addressed the problem of implementing ACID transactions in cloud datastores [5, 6, 7], and, while full transaction support remains a scalability challenge, these efforts demonstrate that transactions are feasible so long as the number of tuples that are transactionally related is not “too big”.

ICISS 2007. LNCS, vol. 4812, pp. 128–142. Springer, Heidelberg (2007) 11. : Reducing inference control to access control for normalized database schemas. Inf. Process. Lett. 106(1), 8–12 (2008) 12. : Inference-proof view update transactions with forwarded refreshments. Journal of Computer Security 19, 487–529 (2011) 13. : Chasing after secrets in relational databases. In: Foundations of Data Management, AMW 2010. CEUR Workshop Proceedings, vol. 619, pp. 12 (2010) 14. : Efficient Inference Control for Open Relational Queries.

Amazon AWS is a prominent cloud computing platform that Amazon makes available to researchers and educators worldwide through their research and education grants. A central part of AWS is Amazon EC2 which allows users to rent virtual machines in Amazon’s cloud. Users can either use local storage or network-attached storage called Elastic Block Storage (Amazon EBS). EC2 instances offer many variations of number of cores and main memory. An important feature of EC2 for the purposes of this section is the number of datacenters available and the geo-separation among them.

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Databases in Networked Information Systems: 8th International Workshop, DNIS 2013, Aizu-Wakamatsu, Japan, March 25-27, 2013. Proceedings by Joachim Biskup (auth.), Aastha Madaan, Shinji Kikuchi, Subhash Bhalla (eds.)


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