[AISWorld] Special issue: "Data Management on Emerging Technologies (DMET-2015)": Call for Papers
OJDB Editorial Office
ojdb at ronpub.com
Mon Aug 17 03:56:28 EDT 2015
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Open Journal of Databases (OJDB) (http://www.ronpub.com/journals/ojdb)
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=========================== Call for Papers
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Special issue: "Data Management on Emerging Technologies (DMET-2015)"
(http://www.ronpub.com/index.php/journals/ojdb/special-issues/upcoming-special-issues)
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*Note: Publication fees will be waived for accepted papers submitted
before August 31, 2015.**
*
** ABOUT OJDB
This special issue will be published in the Open Journal of Databases
(OJDB) (http://www.ronpub.com/journals/ojdb). OJDB, an open access and
peer-reviewed online journal, publishes original and creative research
results on database technologies. OJDB distributes its articles under
the open access model. All articles of OJDB are fully open access and
online available to readers free of charge. There is no restriction on
the length of the papers. Accepted manuscripts are published online
immediately.
** ABOUT THIS SPECIAL ISSUE:
In recent years, a variety of new research fields and technologies have
emerged and are emerging, and are becoming increasingly important, like
Internet of Things, Big Data, Nano Technology and Cloud Computing. These
emerging technologies involve a large number of data and new types of
data, e.g. Nano data, Web data, linked data and cloud of data, and they
bring new challenges in the management and analysis of data. The special
issue aims to identify and address the challenges of data management in
the new research fields. We are interested in new approaches, database
systems, architectures, applications, data structures and algorithms for
efficient data management, analysis and query processing. We also
welcome novel research ideas on how applying traditional database
technologies to the management of new types of data.
Emerging Hardware Technologies for Databases has also significantly
increased. Field Programmable Gate Arrays (FPGAs), General Purpose
Computation on Graphics Processing Unit (GPGPUs), Smart SSDs and servers
with huge main memories became available and offer new possibilities for
speeding up processing. Traditional processing techniques in database
systems have to be rethink as the computational models and processing
capabilities of these new hardware alternatives differ significantly
from existing CPU-centric approaches. FPGAs allow for massively parallel
processing at low clock frequency, and in addition permit runtime
adaption of processing units to the current processing requirements by
mean of partial reconfiguration. GPGPUs can be seen as stream processors
that can operate massively in parallel by running one kernel on many
records in a stream at once. Smart SSDs can already process data inside
the SSD before transferred to CPUs on slower network connections. Server
with terabytes of main memory can now access and hold data in main
memory, which had to be stored and administrated on slow discs or SSDs
in the past. To make best use of these capabilities, new algorithms, new
structures for data representation as well as new techniques for data
management have to be developed. Another goal of this special issue is
to present the latest results and new ideas in the broad area of
emerging hardware technologies for database systems.
** SCOPE:
This special issue welcomes regular research papers, short
communications, reviews and visionary papers, including but NOT limited
to the following topics:
- Emerging Database Technologies and Non-Standard Databases
-- NoSQL and NewSQL
-- Web databases
-- Semantic Web
-- Cloud databases
-- Deductive databases
-- Object-oriented databases
- Data management and query processing in
-- Internet of Things
-- Big Data
-- Nano Computing
-- Cloud Computing
-- Ubiquitous Computing
- Emerging Hardware Technologies
-- New hardware architectures for databases
-- Algorithms for databases on emerging hardware technologies
-- Programming models for emerging hardware
-- New storage devices and new approaches to data management utilizing them
-- Benchmarks for database technologies on new hardware
-- In-memory data management
-- Reconfigurable challenges for FPGA processing
-- Query processing for hybrid architectures
-- Optimized index construction on emerging hardware
- Core Data Management Technologies for Large-Scale Data Processing
- Data Visualizations and Analysis
- Data Models and Languages
- Performance and Evaluation
** GUEST EDITORS:
- Dr. rer. nat. habil. Sven Groppe, IFIS, University of Lübeck, Germany
(http://www.ifis.uni-luebeck.de/~groppe/)
- Prof. Dr.-Ing. Thilo Pionteck, ITI, University of Lübeck, Germany
(http://www.iti.uni-luebeck.de/en/staff/prof-dr-ing-thilo-pionteck.html)
** IMPORTANT DATES:
- Submission Deadline: 31.08.2015
- Author Notification: 30.10.2015
** PREPARATION & SUBMISSION:
For detailed information on the preparation and submission of
manuscripts, please visit our page for Author Guidelines
(https://www.ronpub.com/index.php/journals/ojdb/author-guidelines).
Please submit to this special issue by sending an email to
ojdb at ronpub.com with subject DMET-2015.
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OJDB Editorial Office
RonPub UG (haftungsbeschränkt), Lübeck, Germany
Web: www.ronpub.com/journals/ojdb
Email: ojdb at ronpub.com
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