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Computational Intelligence in Evaluation and Management for Internet Services and Applications

Call for Papers

The emerging synthesis of intelligence technologies, network technologies, and information technologies is one of the most promising approaches towards Internet service support for the next generation. Generally, computational intelligence provides a set of nature-inspired computational methodologies and approaches to address complex real-world problems, such as service evaluation and management in which the processes contain some uncertainties and are too complex for mathematical reasoning. Although service evaluation and management have made a lot of research including research on Quality of Service (QoS) and Quality of Experience (QoE), researchers have started to integrate computational intelligence in the design of the quality monitoring, performance evaluation, and resource management of network infrastructures and services in order to enable better service experiences. However, because of the additional complexities in content generation, processing, distribution, and display, as well as emerging new forms of media technologies and services, many challenges remain in developing effective and practical evaluation and management methods with computational intelligence.

This special issue aims to become a valuable information source for state-of-the-art research and development in services and applications in future Internet. It also aims to serve as an outlet for facilitating computational intelligent among service computing researchers, practitioners, and professionals from across academics, government, and industry. Finally, it aims to foster the dissemination of high quality research in new ideas, methods, theories, techniques, and applications of evaluation and management for improving services. Original research articles are solicited in all aspects, including theoretical studies, practical applications, and experimental prototypes.

Potential topics include but are not limited to the following:

  • Computation intelligence for service evaluation and management
  • Theoretical and computational models for service/application
  • Soft computing, fuzzy logic, and artificial neural networks for service/application
  • Data mining and data warehousing for service evaluation and management
  • Grid, cloud, and high speed/performance and green computing for service/application
  • Computation intelligence for service selection, composition, and provisioning
  • Architectures and algorithms in service evaluation and management
  • IoT and cloud platforms for service evaluation and management
  • QoS/QoE evaluation metrics, methodologies, frameworks, and testbeds
  • Managing QoS and QoE levels in wireless or 5G network

Authors can submit their manuscripts through the Manuscript Tracking System at

Manuscript DueFriday, 15 September 2017
First Round of ReviewsFriday, 8 December 2017
Publication DateFriday, 2 February 2018

Lead Guest Editor

  • Shangguang Wang, Beijing University of Posts & Telecommunications, Beijing, China

Guest Editors