Call for Papers - Globe 2014
7th International Conference on Data Management in Cloud, Grid and P2P
Systems
September 2-3, 2014, Munich, Germany.
Conference URL: http://www.dexa.org orhttp://www.irit.fr/globe14
Publication
1. Proceedings
All accepted conference papers will be published in: LNCS - Lecture Notes
in Computer Science - Springer Verlag (http://www.springer.com/lncs)
2. Distinguished Papers
Extended versions of selected papers will be published in the
International Journal
"Transactions on Large- Scale Data- and Knowledge- Centerd Systems",
LNCS Springer Verlag.
Homepage:http://tldks.faw.at/
www.springer.com/lncs/tldks orhttp://www.springer.com/
3. Scope
Data management in distributed systems and applications that require
voluminous, distributed,
heterogeneous and dynamic data sources is the subject of many research.
These research leaded,
principally, in Cloud, Grid and Peer-to-Peer computing topics will make
considerable impact on
large scale distributed data management. Today, these topics require
more research in order to
raise still open challenges like scalability, elasticity, consistency,
security and autonomic
data management.
The main objective of the annual international conference on data
management in Cloud, Grid
and P2P Systems is to present the latest results in research and
applications, to identify
new issues, and to shape future directions.
4. Topics
Original papers preferably but not limited to the following topics
are welcome (all the topics are related to Cloud, Grid ans P2P systems):
* Data Storage and Management
* Data Integration and Metadata Management
* Data Stream Systems
* Distributed Query Languages
* Dynamic Data Placement Issues
* Flexible and Adaptive Query Processing
* Support for Scalable and Elastic Services
* Query Processing and Optimization
* Data Warehousing
* Cost Models
* Big Data Science and Foundation
* Big Data Infrastructure
* Big Data Analytics
* Pricing Models
* Resource Discovery
* Dynamic Resource Management, Reservation, and Scheduling
* Locating Data Sources/Resources and Scalability
* Web Services
* Workload Adaptability in Heterogeneous Environments
* Transaction Management
* Replicated Copy Control and Caching
* Data Mining and Knowledge Discovery
* Data Privacy and Security
* Big Data Privacy/Security
* Big data applications for vertical industries
* Mobile Computing
* Large Scale Distributed Applications and Experiences
* Performance Evaluation and Benchmarking
Conference Program Chairpersons:
Abdelkader Hameurlain, IRIT, Paul Sabatier University, Toulouse, France
Tran Khanh Dang, HCMC University of Technology, Ho Chi Minh City, Vietnam
Publicity Chair:
Franck Morvan, IRIT, Paul Sabatier University, Toulouse, France
PC members:http://www.irit.fr/
Important Dates:
Manuscript submissions: April 15th, 2014
Notification of acceptance: June 2nd, 2014
Final version deadline: June 12th, 2014
Paper Submission Informations:
- The submitted papers should closely appear in the proceedings.
- Papers should not exceed 12 pages/LNCS
format:http://www.springer.de/
==============================
7th International Conference on Data Management in Cloud, Grid and P2P
Systems
September 2-3, 2014, Munich, Germany.
Conference URL: http://www.dexa.org orhttp://www.irit.fr/globe14
Publication
1. Proceedings
All accepted conference papers will be published in: LNCS - Lecture Notes
in Computer Science - Springer Verlag (http://www.springer.com/lncs)
2. Distinguished Papers
Extended versions of selected papers will be published in the
International Journal
"Transactions on Large- Scale Data- and Knowledge- Centerd Systems",
LNCS Springer Verlag.
Homepage:http://tldks.faw.at/
www.springer.com/lncs/tldks orhttp://www.springer.com/
3. Scope
Data management in distributed systems and applications that require
voluminous, distributed,
heterogeneous and dynamic data sources is the subject of many research.
These research leaded,
principally, in Cloud, Grid and Peer-to-Peer computing topics will make
considerable impact on
large scale distributed data management. Today, these topics require
more research in order to
raise still open challenges like scalability, elasticity, consistency,
security and autonomic
data management.
The main objective of the annual international conference on data
management in Cloud, Grid
and P2P Systems is to present the latest results in research and
applications, to identify
new issues, and to shape future directions.
4. Topics
Original papers preferably but not limited to the following topics
are welcome (all the topics are related to Cloud, Grid ans P2P systems):
* Data Storage and Management
* Data Integration and Metadata Management
* Data Stream Systems
* Distributed Query Languages
* Dynamic Data Placement Issues
* Flexible and Adaptive Query Processing
* Support for Scalable and Elastic Services
* Query Processing and Optimization
* Data Warehousing
* Cost Models
* Big Data Science and Foundation
* Big Data Infrastructure
* Big Data Analytics
* Pricing Models
* Resource Discovery
* Dynamic Resource Management, Reservation, and Scheduling
* Locating Data Sources/Resources and Scalability
* Web Services
* Workload Adaptability in Heterogeneous Environments
* Transaction Management
* Replicated Copy Control and Caching
* Data Mining and Knowledge Discovery
* Data Privacy and Security
* Big Data Privacy/Security
* Big data applications for vertical industries
* Mobile Computing
* Large Scale Distributed Applications and Experiences
* Performance Evaluation and Benchmarking
Conference Program Chairpersons:
Abdelkader Hameurlain, IRIT, Paul Sabatier University, Toulouse, France
Tran Khanh Dang, HCMC University of Technology, Ho Chi Minh City, Vietnam
Publicity Chair:
Franck Morvan, IRIT, Paul Sabatier University, Toulouse, France
PC members:http://www.irit.fr/
Important Dates:
Manuscript submissions: April 15th, 2014
Notification of acceptance: June 2nd, 2014
Final version deadline: June 12th, 2014
Paper Submission Informations:
- The submitted papers should closely appear in the proceedings.
- Papers should not exceed 12 pages/LNCS
format:http://www.springer.de/
==============================
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