Practice and Experience Special Issue Cloud Computing and Big Data

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Concurrency and Computation: Practice and Experience
Special Issue
Cloud Computing and Big Data: Technologies and Applications
Aims and Scope
Cloud computing has gained great attention from both academia and IT industry as a new
infrastructure requiring smaller investments in hardware platform, staff training, or licensing new
software tools. Itis recognized by the community as a platform forbigdata storage and processing.
Recent surveys stated that cloud computing will play an important role as it provides organizations
with the ability to analyze and store data economically and efficiently. For example, remotely
processing data was introduced as data has started to be migrated and managed in the cloud.For
example, Digital Communications Inc. (DCI) stated that by 2020, a significant portion of digital
data will be managed in the cloud, and even if a byte in the digital universe is not stored in the
cloud, it will pass, at some point, through the cloud.Many solutions have been proposed and
developed to improve computation performance of Big Data. Some of them tend to improve
algorithms efficiency, provide new distributed paradigms or develop powerful processing
infrastructures.
This special issue aims at reporting the state of the art, the research challenges and the available
solutions and relevant activities in the design of architectures, algorithms, and applications in the
context of cloud computing and high performance processing of Big Data.
Topics
The special issue intended to focus on the above issues and solicited papers that address theoretical
and experimental work related to cloud computing and Big Data. Papers are solicited from, but are
not limited to, the following topics:
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Architectures for Big Data/Cloud
Cloud Architectures and Applications
Cloud Security and Privacy
Cloud Energy Efficiency
Datacenter and Big Data in the Cloud
Mobile & Social Cloud, Cloud Solutions and Applications
High-Performance Mining of Big Data
Machine learning algorithms for text analysis
Opinion mining/sentiment analysis methods
HPC and cloud computing
Important dates
Abstract Submission: -----------------------------------July 1st, 2015
Guest Editors Reply: ------------------------------------July 15, 2015
Paper Submissions: --------------------------------------October 15, 2015
1st Notifications and Reviewers Comments: -------- January 15, 2016
1st Revision Submission: ------------------------------ -March 15, 2016
2nd Notifications and Reviewers Comments: --------June 15, 2016
2nd Revision Submission: ------------------------------August 15, 2016
Final Notifications: --------------------------------------September 15, 2016
Accepted papers are expected to appear in the 4th Quarter of 2016 (Tentative).
Submissions guidelines
This special issue on “Cloud Computing and Big Data” is open for submissions, including extended highquality papers presented at CLOUDTECH 2015 (http://www.macc.ma/cloudtech15/Call_for_Papers.html).
Authors of selected papers from CLOUDTECH 2015conference will be invited to submit an extension
versionof their papers. Other high quality papers that fit the Special Issue topics are also welcome for
submission. Papers will be subjected to a rigorous reviewprocess following reviewing rules of the journal.
Submitted manuscripts must have at least 30% new content from previous and published papers.
Manuscripts must be prepared according to the following journal’s Author Guidelines: http://www.ccpe.net/journalinfo/authors.html#guidelines,
and
submitted
via
the
online
submission
at
https://mc.manuscriptcentral.com/cpe.
Guest editors
Mostapha Zbakh
m.zbakh@um5s.net.ma
Mohamed Essaaidi
essaaidi@ieee.org
Mohammed Bakhouya.
Mohamed.bakhouya@uir.ac.ma/bakhouyam@ieee.org
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