Call for Journal Papers - Regular Papers
Transactions on Large-Scale Data and Knowledge-Centered Systems TLDKS
http://tldks.faw.at
(LNCS Journal Subline)
http://www.springer.com/
General:
Data management, knowledge discovery as well as knowledge processing are
core
and hot topics in computer science. They are widely accepted as enabling
technologies for modern enterprises enhancing their performance, especially
in the decision making process. Since the 1990s the Internet has been the
outstanding driving force for application development in all domains.
An increase in the demand of resource sharing (e.g. computing resources,
services, metadata, data sources) across different sites connected through
networks leads to an evolvement of data and knowledge management systems
from
centralized systems to decentralized systems enabling large scale
distributed
applications providing high scalability. Current decentralized systems
still
focus on data and knowledge as their main resource characterized by:
- Heterogeneity of nodes, data and knowledge
- Autonomy of data and knowledge sources and services
- Large scale data volumes, high numbers of data sources, users, computing
resources
- Dynamics of nodes.
Considering these characteristics recognize:
(a) limitations of methods and techniques developed for centralized systems
(b) requirements to extend or design new approaches and methods enhancing
efficiency, dynamics and scalability
(c) development of large scale, experimental platforms and relevant
benchmarks
to evaluate and validate scaling
Feasibility of these systems relies basically on P2P (peer-to-peer)
techniques
and agent systems supporting with scaling and decentralized control.
Synergy
between Grids, P2P systems and agent technologies is the key to data and
knowledge centered systems in large scale environments.
The objective of the international journal on Large Scale Data and
Knowledge
Centered Systems is to provide an opportunity to disseminate original
research
contributions and a high quality communication platform for researchers and
practitioners. The journal contains sound peer reviewed papers
(research, stateof the art and technical) of high quality.
Topics of interest include, but are not limited to:
* Data Storage and Management
* Data Integration and Metadata Management
* Data Stream Systems
* Data Semantic, Semantic Web and Ontologies
* Knowledge Engineering and Processing
* Sensor Data and Sensor Network
* Dynamic Data Placement Issues
* Query Processing and Optimization
* Flexible, Robust and Adaptive Query Processing
* Support for Scalable and Elastic Services
* Data Warehousing
* Cost Models
* Resource Discovery
* Resource Management, Reservation, and Scheduling
* Locating Data Sources/Resources and Scalability
* Workload Adaptability in Heterogeneous Environments
* Transaction Management
* Replicated Copy Control and Caching
* Data Privacy and Security
* Data Mining and Knowledge Discovery
* Mobile Data Management
* Data Grid Systems
* Data Management in Cloud Systems
* Pricing Models
* P2P Systems
* Web Services
* Autonomic Data Management
* Large Scale Distributed Applications and Experiences
* Performance Evaluation and Benchmarking.
Editors-in-Chief:
Abdelkader Hameurlain, Paul Sabatier University, IRIT, France
Josef K??ng, University of Linz, FAW, Austria
Roland Wagner, University of Linz, FAW, Austria
Paper Submission Details
Authors are invited to electronically submit original research
contributions or
experience reports in English.
* The submitted manuscript must be submitted in pdf in LNCS format:
http://www.springer.de/comp/
* The length of submitted manuscripts should not exceed 30 pages.
For paper registration and electronic submission see:
http://confdriver.ifs.tuwien.
Submitted papers will be carefully evaluated based on originality,
significance,
technical soundness, and clarity of exposition.
Important Dates:
Submission deadline: May 30th, 2014
Notification: July 20th, 2014
Final decision: August 30th, 2014
Final submission: September 20th, 2014
Publication: November 2014
Editorial Board:
Reza Akbarinia, INRIA, France
St??phane Bressan, National University of Singapore, Singapore
Francesco Buccafurri, Universit? Mediterranea di Reggio Calabria,
Italy
Yuhan Cai, A9.com, USA
Qiming Chen, HP Lab, USA
Tommaso Di Noia, Politecnico di Bari, Italy
Dirk Draheim, University of Innsbruck, Austria
Johann Eder, Alpen Adria University Klagenfurt, Austria
Stefan Fenz, Vienna University of Technology, Austria
Georg Gottlob, Oxford University, UK
Anastasios Gounaris, Aristotle University of Thessaloniki, Greece
Theo H??rder, Technical University of Kaiserslautern, Germany
Dieter Kranzlm??ller, Ludwig-Maximilians-Universit??
Germany
Philippe Lamarre, INSA of Lyon, France
Lenka Lhotsk??, Technical University of Prague, Czech Republic
Vladimir Marik, Technical University of Prague, Czech Republic
Mukesh Mohania, IBM India, India
Tetsuya Murai, Hokkaido University, Japan
Gultekin Ozsoyoglu, Case Western Reserve University, USA
Torben Bach Pedersen, Aalborg University, Denmark
G??nther Pernul, University of Regensburg, Germany
Klaus-Dieter Schewe, University of Linz, Austria
Makoto Takizawa, Seikei University Tokyo, Japan
David Taniar, Monash University, Australia
A Min Tjoa, Vienna University of Technology, Austria
Chao Wang, Oak Ridge National Laboratory, USA
==============================
--
******************************
Prof. Abdelkader Hameurlain
Pyramid Team
IRIT Institut de Recherche en Informatique de Toulouse
Paul Sabatier University
118, Route de Narbonne
F-31062 TOULOUSE Cedex
FRANCE
Phone : +33 (0)5 61 55 82 48
Fax : +33 (0)5 61 55 62 58
E-mail: hameurlain@irit.fr
URL : http://www.irit.fr/-Equipe-
******************************
Transactions on Large-Scale Data and Knowledge-Centered Systems TLDKS
http://tldks.faw.at
(LNCS Journal Subline)
http://www.springer.com/
General:
Data management, knowledge discovery as well as knowledge processing are
core
and hot topics in computer science. They are widely accepted as enabling
technologies for modern enterprises enhancing their performance, especially
in the decision making process. Since the 1990s the Internet has been the
outstanding driving force for application development in all domains.
An increase in the demand of resource sharing (e.g. computing resources,
services, metadata, data sources) across different sites connected through
networks leads to an evolvement of data and knowledge management systems
from
centralized systems to decentralized systems enabling large scale
distributed
applications providing high scalability. Current decentralized systems
still
focus on data and knowledge as their main resource characterized by:
- Heterogeneity of nodes, data and knowledge
- Autonomy of data and knowledge sources and services
- Large scale data volumes, high numbers of data sources, users, computing
resources
- Dynamics of nodes.
Considering these characteristics recognize:
(a) limitations of methods and techniques developed for centralized systems
(b) requirements to extend or design new approaches and methods enhancing
efficiency, dynamics and scalability
(c) development of large scale, experimental platforms and relevant
benchmarks
to evaluate and validate scaling
Feasibility of these systems relies basically on P2P (peer-to-peer)
techniques
and agent systems supporting with scaling and decentralized control.
Synergy
between Grids, P2P systems and agent technologies is the key to data and
knowledge centered systems in large scale environments.
The objective of the international journal on Large Scale Data and
Knowledge
Centered Systems is to provide an opportunity to disseminate original
research
contributions and a high quality communication platform for researchers and
practitioners. The journal contains sound peer reviewed papers
(research, stateof the art and technical) of high quality.
Topics of interest include, but are not limited to:
* Data Storage and Management
* Data Integration and Metadata Management
* Data Stream Systems
* Data Semantic, Semantic Web and Ontologies
* Knowledge Engineering and Processing
* Sensor Data and Sensor Network
* Dynamic Data Placement Issues
* Query Processing and Optimization
* Flexible, Robust and Adaptive Query Processing
* Support for Scalable and Elastic Services
* Data Warehousing
* Cost Models
* Resource Discovery
* Resource Management, Reservation, and Scheduling
* Locating Data Sources/Resources and Scalability
* Workload Adaptability in Heterogeneous Environments
* Transaction Management
* Replicated Copy Control and Caching
* Data Privacy and Security
* Data Mining and Knowledge Discovery
* Mobile Data Management
* Data Grid Systems
* Data Management in Cloud Systems
* Pricing Models
* P2P Systems
* Web Services
* Autonomic Data Management
* Large Scale Distributed Applications and Experiences
* Performance Evaluation and Benchmarking.
Editors-in-Chief:
Abdelkader Hameurlain, Paul Sabatier University, IRIT, France
Josef K??ng, University of Linz, FAW, Austria
Roland Wagner, University of Linz, FAW, Austria
Paper Submission Details
Authors are invited to electronically submit original research
contributions or
experience reports in English.
* The submitted manuscript must be submitted in pdf in LNCS format:
http://www.springer.de/comp/
* The length of submitted manuscripts should not exceed 30 pages.
For paper registration and electronic submission see:
http://confdriver.ifs.tuwien.
Submitted papers will be carefully evaluated based on originality,
significance,
technical soundness, and clarity of exposition.
Important Dates:
Submission deadline: May 30th, 2014
Notification: July 20th, 2014
Final decision: August 30th, 2014
Final submission: September 20th, 2014
Publication: November 2014
Editorial Board:
Reza Akbarinia, INRIA, France
St??phane Bressan, National University of Singapore, Singapore
Francesco Buccafurri, Universit? Mediterranea di Reggio Calabria,
Italy
Yuhan Cai, A9.com, USA
Qiming Chen, HP Lab, USA
Tommaso Di Noia, Politecnico di Bari, Italy
Dirk Draheim, University of Innsbruck, Austria
Johann Eder, Alpen Adria University Klagenfurt, Austria
Stefan Fenz, Vienna University of Technology, Austria
Georg Gottlob, Oxford University, UK
Anastasios Gounaris, Aristotle University of Thessaloniki, Greece
Theo H??rder, Technical University of Kaiserslautern, Germany
Dieter Kranzlm??ller, Ludwig-Maximilians-Universit??
Germany
Philippe Lamarre, INSA of Lyon, France
Lenka Lhotsk??, Technical University of Prague, Czech Republic
Vladimir Marik, Technical University of Prague, Czech Republic
Mukesh Mohania, IBM India, India
Tetsuya Murai, Hokkaido University, Japan
Gultekin Ozsoyoglu, Case Western Reserve University, USA
Torben Bach Pedersen, Aalborg University, Denmark
G??nther Pernul, University of Regensburg, Germany
Klaus-Dieter Schewe, University of Linz, Austria
Makoto Takizawa, Seikei University Tokyo, Japan
David Taniar, Monash University, Australia
A Min Tjoa, Vienna University of Technology, Austria
Chao Wang, Oak Ridge National Laboratory, USA
==============================
--
******************************
Prof. Abdelkader Hameurlain
Pyramid Team
IRIT Institut de Recherche en Informatique de Toulouse
Paul Sabatier University
118, Route de Narbonne
F-31062 TOULOUSE Cedex
FRANCE
Phone : +33 (0)5 61 55 82 48
Fax : +33 (0)5 61 55 62 58
E-mail: hameurlain@irit.fr
URL : http://www.irit.fr/-Equipe-
******************************
No comments:
Post a Comment