From Active Data Management to Event-Based Systems and More Papers in Honor of Alejandro Buchmann on the Occasion of His 60th Birthday /

Data management has evolved over the years from being strictly associated with database systems, through active databases, to become a topic that has grown beyond the scope of a single field encompassing a large range of subjects, such as distributed systems, event-driven systems, and peer-to-peer a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Sachs, Kai. (Editor), Petrov, Ilia. (Editor), Guerrero, Pablo. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Lecture Notes in Computer Science, 6462
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-17226-7
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505 0 # |a Key Concepts for Native XML Processing -- Efficient Decision Tree Re-alignment for Clustering Time-Changing Data Streams -- REaltime ACtive Heterogeneous Systems -- Where Did We Reach After REACH? -- Aspects of Data-Intensive Cloud Computing -- A Web That Senses and Responds -- Spatial Perspectives in Event Processing -- Implementing a Practical Spatio-Temporal Composite Event Language -- Design and Implementation of the Rebeca Publish/Subscribe Middleware -- Anonymous Mobile Service Collaboration: Quality of Service -- SParK: Safety Partition Kernel for Integrated Real-Time Systems -- On Scientific Experiments and Flexible Service Compositions -- Peer-to-Peer Web Search: Euphoria, Achievements, Disillusionment, and Future Opportunities -- Designing Benchmarks for P2P Systems -- Distributed SQL Queries with BubbleStorm -- From the Internet of Computers to the Internet of Things -- Distributed Group Communication System for Mobile Devices Based on SMS -- Towards Declarative Query Scoping in Sensor Networks -- QPME 2.0 -- A Tool for Stochastic Modeling and Analysis Using Queueing Petri Nets -- A Logistics Workload for Event Notification Middleware -- Live Business Intelligence for the Real-Time Enterprise. 
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