********************************************************************** Open Journal of Databases (OJDB) (http://www.ronpub.com/journals/ojdb) ********************************************************************** =========================== Call for Papers ========================================== Special issue: "Data Management on Emerging Technologies (DMET-2015)" (http://www.ronpub.com/index.php/journals/ojdb/special-issues/upcoming-special-issues) ====================================================================================== 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 - 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@ronpub.com with subject DMET-2015. ************************************************ OJDB Editorial Office RonPub UG (haftungsbeschränkt), Lübeck, Germany Web: www.ronpub.com/journals/ojdb Email: ojdb@ronpub.com