[hpc-announce] CFP: Scalable Data Management and Analysis in Cloud Computing

[Samee U. Khan 恩山明]

Call for Papers

Scalable Data Management and Analysis in Cloud Computing
a special issue of
Distributed and Parallel Databases, Springer


Guest Editors
Rajkumar Buyya (University of Melbourne, Australia)
Shrideep Pallickara (Colorado State University, USA)
Rui Zhang (University of Melbourne, Australia)
Rodrigo N. Calheiros (University of Melbourne, Australia)
Samee U. Khan (North Dakota State University, USA)


Cloud Computing has made significant inroads into services utilized by
consumers, enterprise, and research. By allowing computing, storage,
and communicational resources to be made available to the users
elastically, cloud computing provides a framework for systems to
scale. However, current resource orchestration and management
methodologies are unable to cope with complex cloud applications and
data volumes as required by BigData applications. There is a need to
develop innovative and effective solutions that can manage complex
resources of the underlying cloud environments while also providing a
platform to analyze the stored data in the cloud. Such frameworks
would catalyze innovative solutions to problems in power grids,
medicine, and enterprise domains.

The special issue will primarily encompass theoretical and practical
solutions for scalable data management solutions and their analysis in
cloud computing environments for BigData applications. The topics of
interest include, but are not limited to:
a. Cloud data analytics and BigData
b. Cloud data replication and placement
c. Data movement and synchronization
d. Federated cloud data management
e. Queries over unstructured data
f. Time-series data management
g. Visualization of Big Data
h. Management of data volumes, velocity, and variety
i. Big Data in the sciences and enterprises
j. NoSQL databases in Clouds


Important Dates
Paper submission: June  15, 2013
Initial notification: Aug 15, 2013
Rebuttal submission:  Sept 15, 2013
Final notification: Oct 15, 2013
Expected publication: Mid 2014


Submission Format
All submissions are expected to be original research, previously
unpublished and typeset in English. In case the submission is an
extension of an already published conference paper, authors must
quantify 50% of additional intellectual content.  Author guidelines
for preparation of manuscript can be found at:
http://www.springer.com/journal/10619.


Submission Guidelines
All manuscripts must be submitted using the Springer Editorial Manager
System (SEMS). The SEMS website can be accessed via:
http://www.editorialmanager.com/dapd/. Please select the article type
“Scalable Data Management.”


For more information, please contact the lead guest editors:
Shrideep Pallickara (shrideep at cs.colostate.edu)
Samee U. Khan (samee.khan at ndsu.edu)