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EMSICC 2018 : International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing

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Link: http://cedric.cnam.fr/workshops/emsicc18/index.html
 
When Aug 6, 2018 - Aug 8, 2018
Where Barcelona (Spain)
Abstract Registration Due Apr 30, 2018
Submission Deadline May 10, 2018
Notification Due May 30, 2018
Final Version Due Jun 10, 2018
Categories    cloud computing   internet of things   energy
 

Call For Papers

This workshop will address the range of problems related to energy-aware and energy harvesting management when designing software and hardware platforms for the Internet of Things, Cyber Physical Systems and Cloud computing with respect to intelligent optimisation and distributed computing.

Prospective authors are invited to submit original, previously unpublished work, reporting on novel and significant research contributions, on-going research projects, experimental results and recent developments related to, but not limited, the following topics:

- Energy-aware/energy harvesting scheduling algorithms using intelligence
- Adaptive middleware for energy-efficient computing
- Instrumentation and measurement of energy-efficient computing and networking
- Enhanced performance and QoS in energy-efficient systems
- Resource management in large infrastructures (such as data centers) and in power/energy constrained systems
- Data management in energy-efficient systems
- Sensing, monitoring, control, and management of energy systems
- Modelling, control, and architectures for renewable energy generation resources
- Privacy and security in energy-aware platforms
- Metrics, benchmarks, interfaces, tools to take into account energy dimension
- Energy-aware hardware platforms
- Specifications and validation of energy-aware platforms
- Energy efficiency and virtualization in Cloud of things
- Energy services for smart cities
- Intelligent optimisation and computational intelligence for IoT devices
- Machine learning approaches for energy management
- Learning of patterns of energy deployment in smart applications
- Prediction of anticipated energy consumption.

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