Internet-Scale Data Management
General consensus is that data volumes available across the Internet are growing at a tremendous pace. Well-known solutions for data management have reached their scalability limits, requiring new and innovative alternatives. This special issue gives a snapshot of some of those alternatives, with articles that address relaxed data consistency, data heterogeneity, NoSQL databases, continuous aggregation queries, and handling of large data sets in Web services. More »
About IEEE Internet Computing
IEEE Internet Computing covers all aspects of Internet computing, from programming and standards to security and networking. Published bimonthly, the magazine offers peer-reviewed feature, department, and column articles for both industry and academic readers.
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Process Mining Put into Context
Process mining techniques help organizations discover and analyze business processes based on raw event data. The recently released "Process Mining Manifesto" presents guiding principles and challenges for process mining. Read full article »
Deploying a Wireless Sensor Network on an Active Volcano
A sensor-network application for volcanic data collection relies on triggered event detection and reliable data retrieval to meet bandwidth and data-quality demands. Read full article »
The Rise of People-Centric Sensing
People-centric sensing enables a different way to sense, learn, visualize, and share information. In the MetroSense Project, users are the key architectural system component. Read full article »
Semantics Scales Up: Beyond Search in Web 3.0
Scalability concerns have hampered adoption of the Semantic Web, but progress in semantic technologies and applications shows promise for managing the growing stream of cyber-physical-social data. Read full article »