Journal
of Software: Practice and Experience (SPE)
Special Issue on
Software Systems for Data-Centric Smart City Applications
Guest Editors:
Lizhe Wang, Dan Chen, Suiping Zhou
Edited by:
Rajkumar Buyya and R. Nigel Horspool
*** CALL FOR
PAPERS ***
Smart city is the key technology
for efficient management, sustainable development and for efficient governance
in the current worldwide urbanization process. It incorporates the latest
information technologies particularly data-driven trends which improve the everyday
life support of people, especially in social security, transportation and
health care. The smart city paradigm can be specified as a large-scale distributed
system, in which the massive data generated by smart electronic devices, smart
environments and Internet of Things (IoT) can be organized, managed and
analyzed.
The design of scalable software
applications, frameworks and packages is important in forming approaches which
integrate smart city infrastructures (environment, physical ICT infrastructure)
and public processes and services. The services include data collection, curation,
integration, analysis, and visualization. The most important issue in the
design of software tools to support smart city management is achieving the high
scalability of such applications, optimal allocation in heterogeneous resources
(such as sensors, actuators, and high performance computing devices), effective
real-time monitoring, high energy and trust awareness, real-time monitoring,
sustainability and privacy issues, etc. For example, the accurate diagnosis of
abnormal events or incidents in urban transportation system relies on effective
analysis of historic and real-time data for traffic and road conditions,
weather, traffic control strategy and tourism in an integrated manner.
There exists a pressing need to
address the research challenges in data processing, analysis, and development of
application-specific middleware and software for smart cities.
The topics
of interest for this special issue include, but are not limited to:
Ÿ Cloud-based data
analysis software for information intelligence and decision-making in the smart
city
Ÿ Software framework for
intelligent traffic control in urban areas
Ÿ Data-centric approaches
to social security issues in the smart city
Ÿ Software for
healthcare-oriented data processing and analysis
Ÿ Middleware and computing
platforms for real-time sensory data processing in the smart city
Ÿ Software solutions to
efficient data storage and query for the smart city
Ÿ Massive data integration
and curation of heterogeneous sources in smart city applications
Ÿ Software systems for
energy-aware large-scale wireless sensor networks in urban environment
Ÿ Privacy and security-aware
distributed software systems in the smart city
IMPORTANT DATES:
Open for manuscript submission in
ScholarOne: February 1, 2016
Closed for submissions: March 1,
2016
Results of first round of reviews: May
1, 2016
Submission of revised manuscripts: June
1, 2016
Results of second round of reviews:
August 1, 2016
Publication materials due: September
1, 2016
Major Guidelines
The special issue invites original
research papers that make significant contributions to the state-of-the-art in the
data-centric systems and smart city research areas.
We seek submission of papers that
present new, original and innovative ideas for the "first" time in
SPE. Submission of "extended versions" of already published works
(e.g., conference/workshop papers) is not encouraged unless they contain a significant
number of "new and original" ideas/contributions along with more than
50% brand "new" material. If you are submitting an extended version,
you must submit a cover
letter/document detailing (1) the "Summary of Differences" between the
SPE paper and the earlier paper, (2) a clear list of "new and
original" ideas/contributions in the SPE paper (identifying sections where
they are proposed/presented), and (3) confirming the percentage of new
material. Otherwise, the submission will be "desk" rejected without being
reviewed.
Each submitted paper will receive
at least two reviews. The editorial review committee will include well-known
experts in the areas of Big Data, Cloud, Smart City, Data Science, and Internet
of Things.
Selection and Evaluation Criteria:
- Significance to the readership of
the journal
- Relevance to the special issue
- Originality of idea, technical
contribution, and significance of the presented results
- Quality, clarity, and readability
of the written text
- Quality of references and related
work
- Quality of research hypothesis,
assertions, and conclusion
Author Submission
Guidelines
Papers should be formatted
according to the SPE Author Guidelines below:
http://onlinelibrary.wiley.
Manuscript length:
Regular papers should not exceed
the length of 15 pages including figures and tables (in SPE format). Please
note, the special issue’s page limit is different from SPE regular paper
submissions. Papers that exceed the length of 15 pages may not be considered
for review and publication. In special cases, up to 20 pages will be allowed
subject to approval from the Guest Editors. Authors desiring a 20 page limit should
contact the Guest Editors in advance.
Submission
Instructions
The article will be submitted in
the usual way via the online submission site
(https://mc.manuscriptcentral.
When submitting a manuscript for
this special issue, authors should take care to select “Special Issue: Software
Systems for Data-Centric Smart City Applications” as the Manuscript Type and to
select Lizhe Wang as the preferred editor.
GUEST EDITORS:
Prof. Lizhe
Wang – Corresponding Guest Editor
Institute of Remote Sensing and
Digital Earth, Chinese Academy of Sciences,
No.9 Dengzhuang South Road, Haidian
District, Beijing, P. R. China,
Email: lizhe.wang@computer.org
Prof. Dan
Chen,
School of Computer, Wuhan
University,
Bayi Road 299#, Wuhan, P. R. China,
Email: dan.chen@whu.edu.cn
Prof. Suiping
Zhou,
School of Science and Technology,
Middlesex University London
NW4 4BT, The Burroughs, London
Email: S.Zhou@mdx.ac.uk
Regards
Dan Chen
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The efficient data warehouse service is like the backbone for useful business intelligence as well as for analytics.
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