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IEEE Network Magazine
Cloud-Assisted
Mobile Computing and Pervasive Services
Advances in
mobile communication networks and increasing deployments of mobile
smart devices have brought rich mobile experiences to end users.
However, further improvement of service quality and large deployment
of mobile pervasive services are hampered by resource constraints of
mobile devices and bandwidth limitations of wireless networks.
Recently, mobile cloud computing is emerging rapidly as an exciting
new paradigm to extend the capabilities of mobile devices and
platforms, which, in turn, are changing the industrial production and
people's daily life. Developments of innovative pervasive mobile
services, e.g., mobile video streaming, rich media dissemination,
surveillance, e-gaming, e-health care, etc., can be greatly
facilitated by mobile cloud computing platforms employing emerged and
emerging technologies. For example, with the support of mobile cloud
computing, Body Area Networks (BANs) can be greatly enhanced for the
deployment of innovative healthcare monitoring applications with
richer multimedia contents, more reliable service quality and more
types of convergence services. Moreover, adopting the
information-centric and content-centric networking concepts and
techniques, BANs are evolving to enable a highly flexible and
scalable infrastructure for mobile services assisted by cloud
computing. Due to the intrinsically resource-constrained features of
typical mobile devices as well as smart sensors, it is essential for
the mobile cloud service provider to offer sufficient computational
resources and storage capacity support for pervasive services, and
also maintain a reliable and capable communication system among the
devices. In addition, the dynamic mobile wireless channel
environments with limited available bandwidth make it difficult for
mobile users to provide consistent and ubiquitous services offered by
cloud systems. This special issue is to focus on the issues related
to cloud-assisted mobile computing and pervasive services:
- Pervasive e-health, home monitoring, assisted
living services by mobile cloud computing
- Flexible BAN
architecture for supporting distributed cloud computing
- Improvement on mobile content/information-centric
networks (CCN and ICN) by clouds
- Content and information
collection and aggregation in pervasive services by clouds
- Efficient information dissemination in mobile service
with cloud computing
- Mobile content-centric services
integrated with Named Data Networks (NDN)
- Cloud-based
mobile audio/video streaming techniques for BANs
- Scalable
live broadcasting for mobile users supported by cloud computing
- Real-time interactive multimedia service for mobile cloud
users
- Quality of Experience (QoE) studies and
improvements for mobile cloud computing
- Dynamic
allocation algorithms for smart devices connected to mobile cloud
services
- New applications for cloud-supported mobile
online gaming and other entertainments.
- New convergence
services supported by mobile cloud computing techniques
- Social body area networks combined with mobile cloud
computing
- Mobile cognitive radio networks combined with
cloud computing
- Security in cloud-assisted mobile
computing and pervasive services
With regard to both the
content and formatting style of the submissions, prospective
contributors should follow the IEEE Network guidelines for authors
that can be found at http://www.comsoc.org/netmag/paper-submission-guidelines.
Authors should submit their manuscripts through ScholarOne for IEEE
Network Magazine. Choose "Special Issue — CLOUD-ASSISTED MOBILE
COMPUTING AND PERVASIVE SERVICES" from the drop down menu on the
submission page. The timetable is as follows:
Manuscript
Submission: Feb 1, 2013
Acceptance Notification:
June 1, 2013
Final Manuscript Due: June
15, 2013
Publication: September
2013
Guest Editors:
Victor C. M. Leung, University of
British Columbia, Canada, vleung@ece.ubc.ca
Min Chen, Huazhong
University of Science and Technology, China, minchen@ieee.org
Mohsen Guizani, Qatar University,
Qatar, mguizani@ieee.org
Branka Vucetic, University of
Sydney, Australia, branka.vucetic@sydney.edu.au