Suchergebnisse

One of the main challenges in cloud computing is to build a healthy and efficient storage for securely managing and preserving data. This means a cloud service provider needs to make sure that its clients' outsourced data are stored securely and, data queries and retrievals are executed correctly and privately. On the other hand, it may also mean businesses are willing to outsource their data to a third party only if they trust their data are not accessible and visible to the service provider and other non-authorized parties. However, one of the major obstacles faced here for ensuring data reliability and security is Byzantine faults. While Byzantine fault tolerance (BFT) has received growing attention from the academic research community, the research done is generally from the distributed computing point of view, and hence finds little practical use in cloud computing. To that end, the focus of this paper is to discuss how these faults can be tolerated with the authors' proposed conceptualization of Byzantine data faults and fault-tolerant architecture in cloud data management.

AbstractHydrology is the prime control in wetland ecosystems, but little formal hydrological data are gathered in wetlands by hydrometric authorities. Normally, most of the hydrological data for wetlands can be obtained from informal sources, non‐hydrological organizations, the local population and archival information ‐ especially photographs. Some short‐term field monitoring can be useful in augmenting the large hydrological data sets which can be gathered ‐ even when initial enquiries yield minimum information. A case study from the North Kent Marshes is used to illustrate this fact.

D3.2 summarizes the required updates on the euCanSHare's Data Management Plan, after the first half of the project execution. The document highlights the additions made on the DMP and the reasons behind. The updated DMP is included as an Annex. In summary the most significant addition is the definition of "Anonymized metadata" to populate the Data Catalogue to ease study findability without compromising the necessary data privacy. Updates on the technical solutions for storage and data management are also included. ; This deliverable has been produced in the context of the euCanSHare (An EU-Canada joint infrastructure for next-generation multi-Study Heart research) Research and Innovation Action, funded by the European Union's Horizon 2020 programme (grant agreement No 825903), the Canadian Institutes of Health Research (CIHR) and the Fonds de recherche du Québec – Santé under the framework of Canada‐EU Commission Flagship Collaboration for Human data storage, integration and sharing.