[hpc-announce] IEEE Cloud Computing SI: Cloud4ELE

Florin Pop florin.pop at cs.pub.ro
Wed Feb 3 00:49:10 CST 2016

Cloud Computing for Enhanced Living Environments: Algorithms, Architectures and Platforms (Cloud4ELE)

Submission deadline: 1 April 2016
Publication date: November/December 2016

The concept of Enhanced Living Environments (ELE) promotes the seamless integration of information and communication technologies (ICT) within context-aware homes and residences, with the aim of constructing smart environments around assisted people (for example, the elderly and people with disabilities) to help them maintain an independent or more autonomous lifestyle, reduce the corresponding costs of health and social care, and achieve improved quality of life and advanced autonomy, mobility, social interaction, self-confidence, independence, and social inclusion.

The computation power made available by highly advanced datacenters can now be brought closer to the user, thanks to mobile platforms. And the actual interconnection between mobile and cloud systems is made possible by combining the capabilities of individuals, as they interact with each other and their information, through well-design ubiquitous technology. Platforms of tomorrow will benefit from this combination, through the help of new models for understanding the environment (such as participatory and opportunistic mobile sensing), performing computation (such as mobile cloud computing), or even exchanging data (such as mobile ad hoc networks).

The goal of this special issue is to bring together state-of-the-art research efforts describing original and unpublished work that addresses advanced cloud computing challenges and solutions for ELE realization. Topics of interest include but are not limited to the following:

Computational intelligence for smart ELE
Cloud-based architectures and platforms for ELE
Cloud-based testbeds, prototypes, and practical systems for ELE
Smart sensing and monitoring within ELE
Adaptive mobile cloud computing
ICT instrumentation and middleware support for smart ELE
Mobile applications, networks, and systems
Applications to ambient assisted living environments
Human-computer interaction within ELE
Multimodal user interfaces for ELE
Efficient algorithms for ELE data collection, fusion, and mining
Innovative cloud services and applications for ELE
Multimedia content delivery
Services for location and context sensing and awareness
Security and communication aspects related to ELE
Performance evaluation of existing cloud computing technologies for ELE
Special Issue Guest Editors
Florin Pop, University Politehnica of Bucharest, Romania
Carlos Valderrama, University of Mons, Belgium
Kiril Belov, Bulgarian Academy of Sciences, Bulgaria
Ivan Ganchev, University of Limerick, Limerick, Ireland
Beniamino Di Martino, Seconda Universita' di Napoli, Italy
Contact the guest editors at ccm6-2016 at computer.org <mailto:ccm6-2016 at computer.org>.

Submission Information
Submissions will be subject to IEEE Cloud Computing's peer-review process. Articles should be 4,000–6,000 words, with a maximum of 15 references, and should be understandable to a broad audience of people interested in cloud computing, Internet of Things, big data, and related application areas. The writing style should be down to earth, practical, and original. Submitted papers must be original and must not be under consideration by any other conference and/or journal. The main target audience is represented by AAPELE COST Action members, a wide and powerful research network oriented on ELE (http://www.cost.eu/COST_Actions/ict/Actions/IC1303 <http://www.cost.eu/COST_Actions/ict/Actions/IC1303>).

All accepted papers will be edited according to the IEEE Computer Society style guide <https://www.computer.org/web/publications/styleguide>. Authors should submit their papers through Manuscript Central at https://mc.manuscriptcentral.com/ccm-cs <https://mc.manuscriptcentral.com/ccm-cs> and select “Special Issue: Cloud4ELE” for “Manuscript Type.” The editors will make final decisions on accepted papers according to their quality, relevance to the special issue, and originality of research innovation.
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