Submission deadline: 3 January 2018
Publication date: September/October 2018
Offering new advanced services to citizens in smart cities requires a huge effort in collecting, storing, and processing data sensed in the environment and produced by citizens themselves. Cloud solutions can improve the quality of smart cities services offering support to persist and to analyze the data collected, thus to extract knowledge from the raw data acquired. The increasing need for supporting interaction between Internet of Things (IoT) and cloud computing systems has also led to the creation of the edge computing model, which aims to provide processing and storage capacity as an extension of available IoT devices, without the need to move data/processing to a central datacenter.
In a new vision of computing for smart environments, edge computing is combined with cloud computing in order to overcome specific limitations of different computing paradigms, and to offer more efficient services. Indeed, edge computing supports time-sensitive requirements of IoT applications exploiting constrained resources of edge devices, whereas cloud-based programming models can strongly increase computation and storage availability whenever necessary.
The convergence of IoT, edge, and cloud computing requires an osmotic management of services and microservices across different systems, where resources are dynamically organized and migrated according to the requirements of different infrastructures (e.g., load balancing, reliability, availability) and applications (e.g., sensing/actuation capabilities, context awareness, proximity, Quality of Service (QoS)). Osmotic computing enables microservice and resource orchestration mechanisms, together with seamless migration of services that adapt their behavior according to resource availability.
The purpose of the special issue is to cover all aspects of design and implementation, as well as deployment and evaluation of solution aimed at the osmotic convergence IoT, edge, and cloud computing, with specific reference to the smart cities application scenario. For this synergy to become effective and efficient, relevant issues related to smart city services and microservices deployment, networking, and security across cloud and edge datacenters needed to be investigated, thus to provide reliable IoT support with specified levels of QoS.
Topics of interest of the special issue include, but are not limited to:
- Microservice orchestration and elasticity control;
- Holistic decision-making strategies for microservices and resources configuration;
- Workload deployment and migration within/between data centers (intra/interdomain);
- Resource management provisioning and load balancing;
- Security, privacy, and trust management in smart cities services;
- Experiences on the use of edge and cloud systems when applied to services designed for smart cities;
- Analytical and simulation models and tools to measure systems scalability and to achieve resource saving in sociotechnical smart city systems;
- Relationship between IoT, edge, and cloud systems in smart city scenarios;
- (Re)use of open edge-cloud platforms for the design of osmotic computing.
Special Issue Guest Editors
- Maria Fazio, University of Messina
- Rajiv Ranjan, Newcastle University
- Michele Girolami, Italian National Council of Research
- Javid Taheri, Karlstad University
- Schahram Dustdar, TU Wien
- Massimo Villari, University of Messina
Submissions should be 3,000 to 5,000 words long, with a maximum of 15 references, and should follow the magazine’s guidelines on style and presentation (see https://www.computer.org/web/peer-‐review/magazines for full author guidelines). All submissions will be subject to single-blind, anonymous review in accordance with normal practice for scientific publications.
Authors should not assume that the audience will have specialized experience in a particular subfield. All accepted articles will be edited according to the IEEE Computer Society style guide (www.computer.org/web/publications/styleguide).
Submit your papers through Manuscript Central at https://mc.manuscriptcentral.com/ccm-cs.