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Transactions on Computational Collective Intelligence XXXIII [electronic resource] /

Contributor(s): Material type: TextTextSeries: Transactions on Computational Collective Intelligence ; 11610Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XI, 179 p. 93 illus., 46 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783662595404
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.437 23
  • 004.019 23
LOC classification:
  • QA76.9.U83
  • QA76.9.H85
Online resources:
Contents:
Performance Optimization in IoT-based Next-Generation Wireless Sensor Networks -- Enabling custom security controls as plugins in service oriented environments -- A Flexible Synchronization Protocol to Learn Hidden Topics in P2PPS Systems -- QoS Preservation in Web Service Selection -- File Assignment Control for a Web System of Contents Categorization -- Byzantine Collision-Fast Consensus Protocols -- A methodological approach for time series analysis and forecasting of web dynamics -- Static and Dynamic Group Migration Algorithms of Virtual Machines to Reduce Energy Consumption of a Server Cluster -- Unsupervised Deep Learning for Software Defined Networks Anomalies Detection.
In: Springer Nature eBookSummary: These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This thirty-third issue contains 9 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users. .
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Performance Optimization in IoT-based Next-Generation Wireless Sensor Networks -- Enabling custom security controls as plugins in service oriented environments -- A Flexible Synchronization Protocol to Learn Hidden Topics in P2PPS Systems -- QoS Preservation in Web Service Selection -- File Assignment Control for a Web System of Contents Categorization -- Byzantine Collision-Fast Consensus Protocols -- A methodological approach for time series analysis and forecasting of web dynamics -- Static and Dynamic Group Migration Algorithms of Virtual Machines to Reduce Energy Consumption of a Server Cluster -- Unsupervised Deep Learning for Software Defined Networks Anomalies Detection.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This thirty-third issue contains 9 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users. .

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