[Tccc] CFP: (one week to submission deadline) Journal of Communications Special Issue on Cloud and Big Data
Mea Wang
meawangatucalgary.ca
Mon May 13 17:12:10 EDT 2013
CALL FOR PAPERS
Journal of Communications
Special Issue on Cloud and Big Data
Submission Deadline: May 21, 2013
http://www.jocm.us/index.php?m=content&c=index&a=show&catid=87&id=374
In the current digital age, data is generated in many forms, from web logs to
social data, from sensor networks to scientific research. The value of this
data has proven valuable for many purposes and has led us into the Big Data
era. Due to the large volume of data, Big Data requires significant storage,
processing, and bandwidth resources. To date, the Cloud provides the largest
collection of disk storage, CPU power, and network bandwidth, which makes it a
natural choice for housing the Big Data.
However, the Cloud is more than just storage and computing facilities. It
provides services in many forms: Infrastructure as a service (IaaS), Platform
as a service (PaaS), Storage as a service (SaaS), Data as a service (DaaS),
etc. The power of the Cloud has been demonstrated by the fast emergence of
cloud services, such as iCloud and Google Drive. The Cloud provides great
flexibility in storage, data processing, data management, new service
provisioning, and more. In addition, the Cloud makes the data accessible
anywhere at any time, which can further facilitate data generation, making Big
Data even bigger.
When moving Big Data into the Cloud, it is important to note that the large
storage, processing, and bandwidth requirements offer three basic technical
challenges. First, we need efficient and scalable storage solutions to store
the data. The storage system should not only house the data, but also provide
efficient access to the data. Second, we need efficient data processing
solutions of heterogeneous structures. Third, we need efficient and scalable
network solutions to move the data, particularly as data backup and data
migration can be costly due to the high demand for network bandwidth. However,
these are not the only challenges. The rapid growth of Big Data may offer many
other challenges, including challenges related to data mining, programming
models, security, and many more.
In this special issue, we invite researchers to share their insights and
advancements in Cloud for Big Data. The goal is to initiate new developments
in the Cloud and Big Data. Topics of interest include, but are not limited to:
* Cloud storage for Big Data
* Cloud computing for Big Data
* Big Data in the Cloud, including movement, collection, processing,
visualization, management, etc.
* Programming models for Big Data in the Cloud
* Cloud system architecture for Big Data
* Energy issues around Big Data in the Cloud
* Security issues around Big Data in the Cloud
* Implementation issues around Big Data in the Cloud
* Emerging cloud services for Big Data in social science, scientific research,
etc
* Performance optimization related to Big Data in the Cloud
* Cloud resource utilization for housing Big Data
--------------------
Submission
Prospective authors are invited to submit original, high quality papers that
have not appeared, nor are under considerations, in any other journals.
Submissions should follow the author guidelines set out by Journal of
Communications. The complete instruction for authors can be found at
http://www.academypublisher.com/jcm/forauthors.html. Should you have further
questions, please contact the corresponding guest editor (Mea Wang,
meaw... at ucalgary.ca).
--------------------
Important Dates
Submission Deadline: May 21, 2013
Author Notification: August 21, 2013
Final Manuscript Due: September 21, 2013
Publication Date: Q4, 2013
--------------------
Guest Editors (in alphabetic order of last name)
Niklas Carlsson, Linkoping University, Sweden (nikca at ida.liu.se)
Xiaolin (Andy) Li, University of Florida, USA (andyli at ece.ufl.edu)
Mukesh Singhal (IEEE Fellow), University of California at Merced, USA (msinghal
at ucmerced.edu)
Mea Wang, University of Calgary, Canada (meawang at ucalgary.ca)
_______________________________________________
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