Fourth international workshop on Smart City Clouds: Technologies, Systems and Applications

This workshop is co-located with the tenth IEE (Insititution of Electrical Engineers)/ACM (Association for Computing Machinery) international conference on Utility and Cloud Computing (UCC) 2017 between 5 - 8 December 2017, Austin, Texas, USA.

About the workshop

This Smart City Clouds: Technologies, Systems and Applications (SCCTSA) workshop invites original research papers providing insights into smart cities needs, processes and frameworks using cloud-based software technologies and applications. Also, contributions relating to the use of cloud, big data, real-time processing, internet of things (IoT) are encouraged.

Key facilitator of a smart city

ICT (information and communication technologies) is becoming increasingly pervasive to urban environments and provides the necessary basis for sustainability and resilience of smart future cities. ICT as the prime enabler for smart cities transforms application-specific data into useful information and knowledge. From the ICT perspective, the possibility of realisation of smart cities is being enabled by smarter hardware (smart phones, sensor nets, smart household appliances). This hardware can organise in an IoT and thus become a major source of user and environment-specific data.

Use of cloud computing can be considered as a common platform for managing cross-departmental city data and providing necessary computation power to generate required integrated information intelligence for decision making and policy development.

Importance of intuitive software

ICT tools for a smart city often deal with different application domains such as land use, transport and energy. These rarely provide an integrated information perspective to deal with sustainability and socioeconomic growth of the city. Smart cities can benefit from such data (often open data) and information using real-time cross-thematic, data collection, processing, integration and sharing through interoperable services deployed in a cloud environment.

However, such information utilisation requires appropriate software tools, services and technologies. In order to collect, store, analyse and visualise large amounts of data from the city environment, citizens and various departments and agencies at city scale to generate new knowledge and support decision making.

Significance of smart city data

In the above context, the real value of smart city data is gained by new knowledge generation and by performing context-based data processing and analytics using various data mining, machine learning or statistical methods. This becomes challenging when applied to large-scale or real-time data, and hence requires appropriate tools and techniques to be applied in a cloud environment to process and generate required information. In addition, privacy and security issues must be dealt to avoid sharing intrusive details of participants.

Who should participate?

This workshop will be suitable for academics, researchers, practitioners and other stakeholders who are engaged in the business of smart cities, eg providing ICT services or smart solutions. In addition, city administrations who are interested in innovative ICT solutions that can manage the urban environment and lifecycle of big data collected from cities and use it intelligently for urban governance and decision making.

Important dates

  • Manuscript submission due 20 August 2017 (extended) 
  • Notification of acceptance due 10 September 2017.
  • Final camera ready manuscript due 30 September 2017 (as per main conference deadline).
  • Early registration deadline as per UCC deadline.
  • Late registration deadline as per guidelines.

General workshop chair

Dr Zaheer KhanUWE Bristol, UK. Contact via email at

Programme chair

David LudlowUWE Bristol, UK. Contact via email at

Publicity chair

 Dr Kamran Soomro, UWE Bristol, UK. Contact via email at

Technical programme committee

  • Abdul Ghafoor – RISE Acreo Swedish ICT, Kista, Sweden
  • Agusti Solanas – Rovira i Virgili University, Catalonia, Spain
  • Ahsan Ikram – University of Gloucestershire, UK
  • Alexandre Alvaro – Federal University of São Carlos, Brazil
  • Andreas Menychtas – National Technical University of Athens, Greece
  • Andy Hudson-Smith – The Bartlett Centre for Advanced Spatial Analysis, University College London, UK
  • Antorweep Chakrovorty – University of Stavanger, Norway
  • Ashiq Anjum – University of Derby, UK
  • Christoph Reich – Hochschule Furtwangen University, Germany
  • David Manset – Gnúbila, France
  • Elias Pimenidis, UWE Bristol, UK
  • Ian Brooks – UWE Bristol, UK
  • Jens Dambruch – Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany
  • Jiangfeng Zhan – Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
  • Kamran Munir – UWE Bristol, UK
  • Martin Koehler – University of Manchester, UK
  • Michel Krämer – Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany
  • Muhammad Atif – National Computational Infrastructure (NCI), The Australian National University, Australia
  • Muhammad Tahir – National University of Computer and Emerging Sciences (Fast-NU), Karachi, Pakistan
  • Omer Rana – Cardiff University, UK
  • Richard McClatchey – UWE Bristol, UK
  • Susie Ruston McAleer – 21c, London, UK
  • Theodor Foerster - SAP (systems, applications, and products in data processing) AG, Germany
  • Theresa A. Pardo – Center for Technology in Government, University at Albany, State University of New York (SUNY), USA
  • Tomasz Wiktorski Wlodarczyk – University of Stavanger, Norway
  • Welington Manoel da Silva – Informatics Centrer Federal University of Pernambuco, Brazil
  • Wolfgang Loibl – Austrian Institute of Technology, Austria
  • Zeeshan Pervez – University of the West of Scotland (UWS), UK
  • Zahid Anwar – National University of Sciences and Technology (NUST)  School of Electrical Engineering and Computer Science (SEECS), Islamabad, Pakistan
  • Zeeshan Pervez – UWS, UK
  • Zahid Anwar – NUST SEECS, Islamabad, Pakistan

Key topics 

  • Smart mobility
  • Smart energy grids
  • Smart homes
  • Smart health
  • IoT
  • Smart and intelligent urban data analytics
  • Context aware systems for smart cities
  • Smart cities big data management
  • Smart cities data analytics
  • Data harmonisation, integration and processing
  • Smart urban governance
  • Software technologies for smart cities
  • Environmental modelling and applications
  • Smart cities cross-thematic applications
  • Public participation and crowd sourcing
  • Smart buildings and BIM (Building Information Modelling)
  • Connected living labs
  • Smart data security and privacy aspects

You are not limited to the topics of interest above. Submissions that offer position statements, theoretical and industrial perspectives, lessons learned, comparisons, evaluations and technical contributions to smart future cities and the role of clouds are also welcome.

Paper submissions guidelines

All papers must be submitted electronically and in PDF format. The material presented should be original and not published or under submission elsewhere.

Authors should submit full workshop papers of up to 6 pages, following strictly the ACM proceeding templates and manuscript formatting guidelines provided on the UCC webpage.  Figures and references must be included in the 6 pages.  Additional pages may be purchased (in some circumstances) subject to approval by the proceedings chair.   

At least one of the authors of each accepted paper must register early to attend the conference and workshop, in order for the paper to appear in the conference proceedings.

Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal.

All papers should be submitted online using EasyChair.

High quality papers will be invited to submit extended version for the Special Issue on Cloud and Fog Computing for Smart Cities Data Analytics and Visualisation in the Future Generation Computer Systems Journal. 

Previous workshops are available to visit via SCCTSA 2014, SCCTSA 2015 and SCCTSA 2016.


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