SCCTSA 2016
Date: Dec 05, 2016 4:00 pm – Dec 09, 2016 5:00 am
The 3rd International Workshop on Smart City Clouds: Technologies, Systems and Applications (SCCTSA2016)
http://www1.uwe.ac.uk/et/research/cccs/events/scctsa2016.aspx
co-located with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC2016)
December 6-9, 2016 | Tongji University | Shanghai, China | http://computing.derby.ac.uk/ucc2016/
Key topics: Topics of interest include (but are not limited to):
- Smart Mobility
- Smart Energy Grids
- Smart Homes
- Internet of Things
- 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
- Connected Living Labs
- Smart data security and privacy aspects
The Workshop
ICT is becoming increasingly pervasive to urban environments and providing the necessary basis for sustainability and resilience of the 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, etc.), which can organise in an ‘Internet of Things’ (IoT) and thus become a major source of ever increasing user and environment specific data. Use of cloud computing can be considered as common platform as service for managing cross-departmental city data and providing necessary computation power to generate required integrated information intelligence for decision making and policy development.
ICT tools for a smart city often deal with different application domains e.g. land use, transport, energy, and 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 Big, and often real-time cross-thematic, data collection, processing, integration and sharing through inter-operable services deployed in a Cloud environment. However, such information utilisation requires appropriate software tools, services and technologies 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.
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. This workshop invites original research papers providing insights into smart cities needs, processes and frameworks using Cloud based software technologies and applications.
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on
The 3rd International Workshop on Smart City Clouds: Technologies, Systems and Applications (SCCTSA2016)
http://www1.uwe.ac.uk/et/research/cccs/events/scctsa2016.aspx
co-located with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC2016)
December 6-9, 2016 | Tongji University | Shanghai, China | http://computing.derby.ac.uk/ucc2016/
Key topics: Topics of interest include (but are not limited to):
- Smart Mobility
- Smart Energy Grids
- Smart Homes
- Internet of Things
- 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
- Connected Living Labs
- Smart data security and privacy aspects
The Workshop
ICT is becoming increasingly pervasive to urban environments and providing the necessary basis for sustainability and resilience of the 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, etc.), which can organise in an ‘Internet of Things’ (IoT) and thus become a major source of ever increasing user and environment specific data. Use of cloud computing can be considered as common platform as service for managing cross-departmental city data and providing necessary computation power to generate required integrated information intelligence for decision making and policy development.
ICT tools for a smart city often deal with different application domains e.g. land use, transport, energy, and 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 Big, and often real-time cross-thematic, data collection, processing, integration and sharing through inter-operable services deployed in a Cloud environment. However, such information utilisation requires appropriate software tools, services and technologies 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.
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. This workshop invites original research papers providing insights into smart cities needs, processes and frameworks using Cloud based software technologies and applications.