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ESIT 2017 - Special Issue on Emerging Services for Internet of Things



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Topics/Call fo Papers

Internet of Things (IoT) can provide a state-of-the-art for modern services. The rapid adoption of IoT with unprecedented bandwidths and computational power in instrumentation devices have produced ground-breaking service delivery in real-time. These capabilities enable instant access and transfer of information to maximize the possible gains of all kinds. Emerging services are the term to describe the modern types of services that IoT can offer to improve the quality of services and experiences by speeding up the requests, reducing complexity and using methods involved with Big Data, Cloud etc to make services seamlessly. Emerging IoT services can complete many requests such as ordering products, logistics, education, finance, healthcare and smart cities without spending much time and effort. Analysis of data can show people’s choices, rating and feedback for services. This special issue will select papers of the best examples to overcome challenges and provide real solutions. Topics of interest include (but are not limited to):
Smart cities and smart homes
Power grid, energy efficiency systems, applications and services
Health monitoring and smart health applications
Weather data analysis, visualization and real case studies
Spark / Advanced MapReduced ; Large scale NoSQL services; integrations between Spark / MapReduced and NoSQL
Large scale traffic control systems, algorithms and services
Financial and business intelligence services and applications
Supply chain computation, applications and services
Innovative Big Data processing for IoT
Security, privacy and trust
Mobile applications, services and integrations
Complex information systems ? case studies and real deliveries
Business process and decision modeling for complex systems
Cognitive IoT Architecture and Fog computing
Real use cases and research contributions to industry
Submission Format and Guideline
All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journal or conference. A detailed submission guideline is available as “Guide to Authors” at
All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select as “SI ? ESIoT-Chang” when they reach the “Article Type” step in the submission process. The EES website is located at:
Requests for additional information should be addressed to the guest editors.
Editor in Chief
Mohammed Atiquzzaman
University of Oklahoma
Guest Editors
Victor Chang
Xi’an Jiaotong Liverpool University, China
Verena Kantere
University of Geneva, Switzerland
Muthu Ramachandran
Leeds Beckett University, UK

Last modified: 2016-08-15 07:08:07