EMSICC 2019 - 6th IEEE International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing

With the emergence of wireless communications, geolocation technologies and cloud computing, innovative applications are designed for the Internet of Things (IoT) and Cyber-physical systems, targeting intensive data computations and virtualization technologies. Due to their constraints in terms of energy, computational power, memory, high mobility, sporadic connectivity, and sometimes security constraints, some smart devices need to outsource data storage, application hosting and computation to the Cloud. Hence, the IoT and Cyber-physical systems require efficient and adaptive energy management solutions that optimize energy consumptions through energy-aware communications protocols, scheduling methods, self-organization mechanisms, offloading techniques, and security solutions, among others. In addition, alternative energy sources available in their surrounding environments could be used to achieve perpetual functioning without replacing or recharging batteries as often through energy harvesting. Furthermore, energy management and optimisation are also a concern for cloud data centres that need efficient managements of power and performance for computing and air conditioning, and of environmental impact. These factors largely improvise cost versus energy optimisation, which can be achieved through various intelligent optimisation and control for the IoT and Cloud. This workshop will address a range of problems related to energy-aware, energy-efficient management solutions for designing distributed computing platforms (software and hardware) for the IoT, Cyber-physical and Cloud Computing systems.
Prospective authors are invited to submit original, previously unpublished work, reporting on novel and significant research contributions, on-going research projects, experimental results and recent developments related to, but not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 to, 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 centres) 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, and tools to consider 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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Important dates:
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Paper submission: May 10, 2019
Author notification: May 31, 2019
Final Manuscript Due: June 10, 2019
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Submission procedure:
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Authors are requested to electronically submit a PDF paper (maximum 6 pages in IEEE two-column format: http://www.computer.org/portal/web/cscps/formattin....).
Use the following link for submission: https://easychair.org/conferences/?conf=emsicc2019.
The proceedings of the workshop will be published by the IEEE CPS. For any question, send an email to emsicc2019-AT-easychair.org.
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Co-chairs
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Samia Bouzefrane, Cnam, France
Keyvan Ansari, University of the Sunshine Cosat (USC), Australia
Christian Franck, University of Luxembourg, Luxembourg