=========================== Call for Papers ==============================
Special issue: "Emerging Hardware Technologies for Databases (EHTD-2015)"
(http://www.ronpub.com/index.p
==============================
** ABOUT OJDB
This special issue will be published in the Open Journal of Databases (OJDB) (http://www.ronpub.com/journal
** ABOUT THIS SPECIAL ISSUE:
In recent years, the number of hardware implementation alternatives for database systems has 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. Yet, 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. The 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:
The special issue expects original and high-quality papers, including but NOT limited to the following topics:
- 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
- Green computing
- Data management and query processing in the Internet of Things
** GUEST EDITORS:
- Dr. rer. nat. habil. Sven Groppe, IFIS, University of Lübeck, Germany (http://www.ifis.uni-luebeck.d
- Prof. Dr.-Ing. Thilo Pionteck, ITI, University of Lübeck, Germany (http://www.iti.uni-luebeck.de
** IMPORTANT DATES:
- Submission Deadline: 15.01.2015
- Author Notification: 27.02.2015
** PREPARATION & SUBMISSION:
For detailed information on the preparation and submission of manuscripts, please visit Author Guidelines (https://www.ronpub.com/index.
** OPEN-ACCESS PUBLISHING FEES:
This special issue will be published in the Open Journal of Databases (OJDB) (http://www.ronpub.com/journal
******************************
OJDB Editorial Office
RonPub UG (haftungsbeschränkt), Lübeck, Germany
Web: www.ronpub.com/journals/ojdb
Email: ojdb@ronpub.com
Special issue: "Emerging Hardware Technologies for Databases (EHTD-2015)"
(http://www.ronpub.com/index.p
==============================
** ABOUT OJDB
This special issue will be published in the Open Journal of Databases (OJDB) (http://www.ronpub.com/journal
** ABOUT THIS SPECIAL ISSUE:
In recent years, the number of hardware implementation alternatives for database systems has 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. Yet, 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. The 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:
The special issue expects original and high-quality papers, including but NOT limited to the following topics:
- 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
- Green computing
- Data management and query processing in the Internet of Things
** GUEST EDITORS:
- Dr. rer. nat. habil. Sven Groppe, IFIS, University of Lübeck, Germany (http://www.ifis.uni-luebeck.d
- Prof. Dr.-Ing. Thilo Pionteck, ITI, University of Lübeck, Germany (http://www.iti.uni-luebeck.de
** IMPORTANT DATES:
- Submission Deadline: 15.01.2015
- Author Notification: 27.02.2015
** PREPARATION & SUBMISSION:
For detailed information on the preparation and submission of manuscripts, please visit Author Guidelines (https://www.ronpub.com/index.
** OPEN-ACCESS PUBLISHING FEES:
This special issue will be published in the Open Journal of Databases (OJDB) (http://www.ronpub.com/journal
******************************
OJDB Editorial Office
RonPub UG (haftungsbeschränkt), Lübeck, Germany
Web: www.ronpub.com/journals/ojdb
Email: ojdb@ronpub.com
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