DbWorld

From: “Zhiwen Yu” (email address not shown)

Apologies if you receive multiple copies
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Special Issue on Context-Aware Middleware and Applications

Personal and Ubiquitous Computing (Springer)

Guest Editors: Zhiwen Yu, Daqing Zhang, Jadwiga Indulska, Christian Becker

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Context-aware computing is a central theme of ubiquitous computing. In order to
facilitate the development and proliferation of context-aware applications in ubiquitous
environment, a context-aware middleware is indispensable. Although many middleware systems
have been presented in recent years, context-aware applications are still not very
widely deployed in our real-life settings. Several key issues are not properly addressed,
such as low-cost (light-weight), QoS, spontaneous access, prototype verification and testing,
balancing autonomy and user control, safety and privacy, scalability, etc..
Context-aware middleware and applications require further scientific research for
extending the current capabilities to be more effective and applicable in the real world.

This special issue aims to further scientific research within the field of context-aware
middleware and applications for ubiquitous computing. It will accept original research papers
that report the latest results and advances in this area. It also will invite review articles
that focus on the state-of-the-art context-aware concepts, systems, trends and challenges.
The papers will be peer reviewed and will be selected on the basis of their quality
and relevance to the theme of this special issue.

———-
Topics
———-

Topics include (but are not limited to):

- Middleware design patterns
- Middleware for activity-based computing
- Domain-specific middleware
- Middleware support for ubiquitous multimedia
- Middleware support for socially aware computing
- low-cost/light-weight middleware
- Context modeling and reasoning
- Conflict resolution
- User modeling and personalization
- Distributed and scalable context management
- Spontaneous service discovery and access
- Multimodality support
- QoS support
- Balance of autonomy with user control
- Safety and privacy
- Context-aware prototype verification and testing
- Standards and tools for middleware development
- Evaluation of context-aware middleware and applications

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Important Dates
——————-

Full manuscript due: Dec. 1, 2009
Notification of the first review process: Feb. 15, 2010
Final acceptance notification: Apr. 20, 2010
Final manuscript due: May 1, 2010
Publication date: Summer or Fall 2010 (Tentative)

———————-
Submission Guidelines
———————-

Submissions should be prepared according to the author instructions available at the journal
homepage, http://www.springer.com/computer/user+interfaces/journal/779. Manuscripts must be
submitted in the form of PDF file to the corresponding editor Zhiwen Yu (zhiweny@gmail.com).
Information about the manuscript (title, full list of authors, corresponding author’s contact,
abstract, and keywords) must be included in the submission email. Relevant best papers of
UIC-09 (The 6th International Conference on Ubiquitous Intelligence and Computing,
http://www.itee.uq.edu.au/~uic09/) can be extended and invited to this special issue.
The UIC-09 extended versions must have at least 30% difference from their original papers
and will receive further peer review.

—————-
Guest Editors
—————-

Zhiwen Yu, Northwestern Polytechnical University, P. R. China, Email: zhiwenyu@nwpu.edu.cn
Daqing Zhang, Institut TELECOM & Management SudParis, France, Email: Daqing.Zhang@it-sudparis.eu
Jadwiga Indulska, The University of Queensland, Australia, Email: jaga@itee.uq.edu.au
Christian Becker, University of Mannheim, Germany, Email: christian.becker@uni-mannheim.de

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From: “Nikolaos Preve” (email address not shown)

CALL FOR CHAPTERS
Proposal Submission Deadline: November 30, 2009
Computational and Data Grids:
Principles, Designs, and Applications
A book edited by Nikolaos Preve (PhD)
National Technical University of Athens, Greece

To be published by IGI Global: http://www.igi-global.com/requests/details.asp?ID=748

Introduction
Grid computing is the next generation information technology infrastructure that promises to transform the way organizations and individuals compute, communicate and collaborate. Grid computing is an evolution of distributed computing and it refers to a large-scale high-performance computing which combines distributed heterogeneous computing resources and the result is a unique large virtual supercomputer with a vast amount of shared processing power and data storage. Considering the enormous amount of these underutilized computing resources, the necessity of a grid infrastructure is compulsory. A computational grid provides access to users who want to utilize the shared processing resources in order to efficiently apply high throughput applications on distributed machines. The second most common shared resource used in a grid is data storage and it is known as data grid. This type of grid provides distributed storage capacity such as attached memory to the processor, hard d!
isk drives or other types of permanent storage. Grid computing can assist grid users in order to utilize to the maximum computing resources by applying tasks and solving a scientific or technical problem that requires a great number of computer processing cycles or the need to process large amounts of data.

Objective of the Book
This book aims to provide relevant theoretical frameworks and will cover the latest empirical research findings in the area of grid computing. The goal of this book is to represent theoretical frameworks, methodologies, implementations, and cutting edge research findings with a critical perspective bridging the gap between academia and the latest achievements of the computer industry. It will be written for professionals, as well as students, who are involved or interested in the study, use, design, and development of grid computing and want to improve and empower their understanding of it. Also, this book aims to help researchers and developers understand the basics of the field, to highlight the various developments over the years in the field by giving an in depth analysis of grid networks.

Target Audience
The target audience of this book will be composed of professionals, engineers, researchers and students who are interested and working in the field of grid computing. Moreover, the book will provide insights and can serve as both literature at an undergraduate level and as an overview of the area.

Recommended topics include, but are not limited to, the following:
1. Theories, definitions, methodologies, models, applications, simulations, and architectures relevant to grid computing
2. Implementations of computational grids, data grids, sensor and mobile grids
3. Grid data storage, grid databases, data management, and data mining
4. Indexing and query optimization over grid databases
5. Grid middleware
6. Web services
7. Security, cryptography, and cryptanalysis
8. Artificial intelligence
9. Algorithms
10. Scheduling, resource management, and optimization
11. Workflow and fault tolerance
12. Programming in grid computing
13. Grid computing in scientific problems (i.e. astrophysics, chemistry, economy and finance, electromagnetics, geophysics, meteorology, numerical analysis, statistics)

Submission Procedure
Researchers and practitioners are invited to submit on or before November 30, 2009, a 1-2 page chapter clearly explaining the mission and concerns of the proposed chapter. We also highly encourage early full chapter submissions. Please include the title of the book in the subject line of your e-mail. Authors will be notified by December 15, 2009 about the status of their proposals and will be sent chapter guidelines. Full chapters are expected to be submitted by March 31, 2010 or earlier.

All submitted chapters must not have been published elsewhere and will undergo a double-blind peer review by at least two referees. Contributors may also be requested to serve as reviewers for this project.

Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2010.

Important Dates
November 30, 2009: Proposal Submission Deadline
December 15, 2009: Notification of Acceptance
March 31, 2010: Full Chapter Submission
June 15, 2010: Review Results Returned
August 15, 2010: Final Chapter Submission
September 15, 2010: Final Deadline

Inquiries and submissions can be forwarded electronically (Word document) or by mail to:
Nikolaos Preve (PhD)
School of Electrical and Computer Engineering
National Technical University of Athens, 15773 Zographou, Greece
Tel.: +30 211 770 8053 • GSM: +30 697 750 4197
E-mail: nikpreb@mail.ntua.gr

with cc to:

Editorial Board
E-mail: editorialt@gmail.com

_______________________________________________
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To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld

From: “Nikolaos Preve” (email address not shown)

CALL FOR CHAPTERS
Proposal Submission Deadline: November 30, 2009
Computational and Data Grids:
Principles, Designs, and Applications
A book edited by Nikolaos Preve (PhD)
National Technical University of Athens, Greece

To be published by IGI Global: http://www.igi-global.com/requests/details.asp?ID=748

Introduction
Grid computing is the next generation information technology infrastructure that promises to transform the way organizations and individuals compute, communicate and collaborate. Grid computing is an evolution of distributed computing and it refers to a large-scale high-performance computing which combines distributed heterogeneous computing resources and the result is a unique large virtual supercomputer with a vast amount of shared processing power and data storage. Considering the enormous amount of these underutilized computing resources, the necessity of a grid infrastructure is compulsory. A computational grid provides access to users who want to utilize the shared processing resources in order to efficiently apply high throughput applications on distributed machines. The second most common shared resource used in a grid is data storage and it is known as data grid. This type of grid provides distributed storage capacity such as attached memory to the processor, hard d!
isk drives or other types of permanent storage. Grid computing can assist grid users in order to utilize to the maximum computing resources by applying tasks and solving a scientific or technical problem that requires a great number of computer processing cycles or the need to process large amounts of data.

Objective of the Book
This book aims to provide relevant theoretical frameworks and will cover the latest empirical research findings in the area of grid computing. The goal of this book is to represent theoretical frameworks, methodologies, implementations, and cutting edge research findings with a critical perspective bridging the gap between academia and the latest achievements of the computer industry. It will be written for professionals, as well as students, who are involved or interested in the study, use, design, and development of grid computing and want to improve and empower their understanding of it. Also, this book aims to help researchers and developers understand the basics of the field, to highlight the various developments over the years in the field by giving an in depth analysis of grid networks.

Target Audience
The target audience of this book will be composed of professionals, engineers, researchers and students who are interested and working in the field of grid computing. Moreover, the book will provide insights and can serve as both literature at an undergraduate level and as an overview of the area.

Recommended topics include, but are not limited to, the following:
1. Theories, definitions, methodologies, models, applications, simulations, and architectures relevant to grid computing
2. Implementations of computational grids, data grids, sensor and mobile grids
3. Grid data storage, grid databases, data management, and data mining
4. Indexing and query optimization over grid databases
5. Grid middleware
6. Web services
7. Security, cryptography, and cryptanalysis
8. Artificial intelligence
9. Algorithms
10. Scheduling, resource management, and optimization
11. Workflow and fault tolerance
12. Programming in grid computing
13. Grid computing in scientific problems (i.e. astrophysics, chemistry, economy and finance, electromagnetics, geophysics, meteorology, numerical analysis, statistics)

Submission Procedure
Researchers and practitioners are invited to submit on or before November 30, 2009, a 1-2 page chapter clearly explaining the mission and concerns of the proposed chapter. We also highly encourage early full chapter submissions. Please include the title of the book in the subject line of your e-mail. Authors will be notified by December 15, 2009 about the status of their proposals and will be sent chapter guidelines. Full chapters are expected to be submitted by March 31, 2010 or earlier.

All submitted chapters must not have been published elsewhere and will undergo a double-blind peer review by at least two referees. Contributors may also be requested to serve as reviewers for this project.

Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2010.

Important Dates
November 30, 2009: Proposal Submission Deadline
December 15, 2009: Notification of Acceptance
March 31, 2010: Full Chapter Submission
June 15, 2010: Review Results Returned
August 15, 2010: Final Chapter Submission
September 15, 2010: Final Deadline

Inquiries and submissions can be forwarded electronically (Word document) or by mail to:
Nikolaos Preve (PhD)
School of Electrical and Computer Engineering
National Technical University of Athens, 15773 Zographou, Greece
Tel.: +30 211 770 8053 • GSM: +30 697 750 4197
E-mail: nikpreb@mail.ntua.gr

with cc to:

Editorial Board
E-mail: editorialt@gmail.com

_______________________________________________
Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld

From: “Prem Melville” (email address not shown)

================================

Call for Proposals: KDD Cup 2010

================================

We invite proposals for KDD Cup 2010 competition. KDD Cup is the well-known data mining competition of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (http://www.acm.org/sigs/sigkdd/kddcup/index.php). The KDD-2010 conference will be held in Washington, DC, USA, July 25-28 2010 (http://www.sigkdd.org/kdd2010/). One proposal will be selected for the 2010 competition, and one member of the organizing team will be invited to be the second KDD Cup 2010 co-chair.

Proposals should include a short paragraph on each of the following items:

1. Description of the problem addressed, with general background information on the application domain.
2. Description of the available data, guarantee of availability, guarantee of confidentiality of the “ground truth”, and size.
3. Description of the competition tasks, their scientific and technical merit and their practical significance.
4. Description of the evaluation procedures and established baselines (provide evidence that non-trivial performance can be achieved, and an estimate of what constitutes a significant difference in performance).
5. List of the available resources (team member availability, computers, support staff, other equipment, sponsors).
6. Schedule. The competition should last between 6 and 8 weeks and the winners should be notified by mid-June. The winners will be announced in the KDD-2010 conference.
7. Names, affiliations, postal addresses, phone numbers, and short biographies of the organizers.
8. Whether the competition is new or has been held before.
9. Whether you will award prizes of any form to winning teams.

A good competition task is one that is practically useful, scientifically or technically challenging, can be done without extensive application domain knowledge, and can be evaluated objectively. Of particular interests are non-traditional tasks that may need novel techniques and solutions. Please send your proposals to alexnic@gmail.com by Nov 15, 2009.
_______________________________________________
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