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The other service the team now supports is OpenNebula, a tool for managing heterogeneous data center infrastructures.
Since data sources from applications and devices are characterized by multiple types of heterogeneities, such as communication protocols, blinding methods, and developing environments, the difficulty in managing heterogeneous data sources is highly raised.
In recent years, the biology community has expended considerable effort to confront the challenges of managing heterogeneous data in a structured and organized way and as a result developed information management systems for both raw and processed data.
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Common metadata to manage heterogeneous data from a variety of data sources Management of data permission and user authorization Unified user interfaces to explore data User assistance to recall memories from a mixture of heterogeneous data.
Common metadata to manage heterogeneous data from a variety of data sources.
This paper presents BIODB, an ontology-enhanced information system to manage heterogeneous data.
Given the number of stakeholders involved in a city, obtaining (and managing) such detailed information for each urban feature is however often a rather complex and resource-demanding task, as it requires to gather, harmonise, integrate, and eventually manage heterogeneous data for a large quantity of objects for the whole city.
The two-step cluster method is a scalable cluster analysis algorithm designed to manage heterogeneous data sets.
OpenNebula [9] is an open-source cloud computing toolkit for managing heterogeneous distributed data centre infrastructures.
FOCALE has been designed for managing heterogeneous networks.
It is used in WiMAX networks for managing heterogeneous traffic classes.
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