Fifth International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing
In conjunction with FiCloud 2018, the IEEE International Conference on Future Internet of Things and Cloud, Barcelona, Spain, 6-8 August 2018
With the emergence of wireless communication and geolocation technologies, new innovative applications are designed moving towards the Internet of Things (IoT), Cyber-physical systems and Cloud computing, targeting virtualization technologies and intensive data computation. 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 their data storage and computation on the Cloud. Hence, the Internet of Things as well as Cyber-physical systems require an efficient energy management to save energy and optimize energy consumption through communication protocols, scheduling approaches, self-organization mechanisms, offloading techniques, security solutions, etc. that rely on energy-aware and energy-adaptive concepts. In addition, alternative energy sources available in our environment could be used to achieve perpetual functioning without replacing or refilling batteries, such as energy harvesting. On the other side, energy management and optimisation is also a concern for cloud data centers that need to be managed efficiently regarding power consumption, air conditioning, energy saving, and environmental impact. These factors largely improvise cost versus energy optimisation, which can be achieved through various intelligent optimisation and control for IoT and cloud. 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Prospective authors are invited to submit original, previously unpublished work, reporting on novel and significant research contributions, on-going research projects, experimental results and recent developments related to, but not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.