Special Issue on Data-Intensive Cloud Infrastructure - VLDBJ

VLDBJ special issue on Data-Intensive Cloud Infrastructure

Aims and Scope

More and more individuals, companies and organizations are relying on the
cloud to store and manage their data, which translates into increasing
pressure on the cloud infrastructure. Cloud data can be very diverse,
including a wide variety of personal data collections, very large
multimedia content repositories and very large datasets. Users and
application developers can be in very high numbers, with little DBMS
expertise. Data-intensive applications can be very diverse too, with
requirements ranging from basic database capabilities to complex analytics
over big data. In particular, the pay-as-you-go model makes the cloud
attractive for supporting novel large-scale elastic applications.
NoSQL solutions for the cloud, for instance, have traded consistency and
transactional guarantees for scalability. However, the grand challenge for
a data-intensive cloud infrastructure is to provide ease of use,
consistency, privacy, scalability and elasticity, simultaneously, over
cloud data. Addressing this challenge requires novel solutions across the
spectrum of data management techniques, including massive data storage,
elastic parallel query processing, transactions over data replicated at
geographically distributed sites, security and privacy, and efficient data
loading and access.
This special issue focuses on recent advances in research and development
in data-intensive cloud infrastructures.

Topics of Interest

The VLDB Journal solicits contributions to a Special Issue on
Data-Intensive Cloud Infrastructure. Relevant topics include, but are not
limited to, the following:
* Novel data-intensive cloud architectures
* Data sharing in heterogeneous clouds
* Energy-efficient data-intensive clouds
* Massive data storage, distributed file systems
* Data models and query languages for cloud data
* Transactional models for cloud data
* Large-scale distributed and parallel data management, including partitioning, caching, replication, and transactional mechanisms to synchronize them
* Elastic query processing, including parallelization and optimization
* Big data analytics
* Multi-tenancy and workload isolation
* Data security, data privacy and access control
* Metadata management, data integration, data sharing, recommendation
* Data provenance, data pricing
* Data availability, fault-tolerance
* Data management on virtual machines and virtual storage
* Hardware-aware data management, including GPU, NUMA and flash memory
* Benchmarking and testing of data-intensive clouds
* Database administration, self-management and automatic tuning
* Resource and workload management for data-intensive clouds
* Real-world applications and system-oriented use cases

We solicit submissions of high-quality, original research and are
particularly interested in system-oriented papers and practical use cases
involving new technologies. We are also happy to consider well-written
survey articles.

Guest Editors
Ashraf Aboulnaga, University of Waterloo, Canada (ashraf@uwaterloo.ca),
Beng Chin Ooi, National University of Singapore (ooibc@comp.nus.edu.sg),
Patrick Valduriez, INRIA and LIRMM, France (Patrick.Valduriez@inria.fr)

Important Dates
Paper submissions: September 15th, 2013
First round notification: January 15th, 2014
Revised versions: April 1st, 2014
Second round notifications: May 1st, 2014
Final version: June 1st, 2014
Publication in August or October, 2014

Submission Website: http://www.editorialmanager.com/vldb/default.asp
(under "Article Type" choose "Data-Intensive Cloud Infrastructure").

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VLDB 2013 Cloud Intelligence Workshop (Cloud-I 2013)

2nd International Workshop 

on Cloud Intelligence (Cloud-I 2013)

In conjunction with VLDB 2013, Riva del Garda (Trento), Italy

August 26, 2013

http://eric.univ-lyon2.fr/cloud-i/

Contact email: cloud-i@eric.univ-lyon2.fr

***************
CALL FOR PAPERS
***************

With the increasing success of cloud computing, cloud business
intelligence "as a service" offerings have sparkled widely, both from
cloud start-ups and major BI industry vendors. Beyond porting BI features
into the cloud, which already implies numerous issues (e.g., BigData/NoSQL
database modeling and storage, data localization, security and privacy,
performance, cost and usage models...), this trend also poses new, broader
challenges for making data analytics available to small and medium-size
enterprises (SMEs), non-governmental organizations, web communities (e.g.,
supported by social networks), and even the average citizen; this vision
presumably requiring a mixture of both private and open data.

The aim of the Cloud-I workshop is to become an interdisciplinary, regular
exchange forum for researchers, industry and practitioners, as well as all
potential users of Cloud Intelligence. The submission of research,
industrial, position, visionary, survey and student papers are encouraged
to fuel up the discussion.

The 2nd International Workshop on Cloud Intelligence (Cloud-I 2013) will
be collocated with the 39th International Conference on Very Large
Databases (VLDB 2013). Proceedings will be published in ACM ICPS. The best
accepted papers will also be invited to submit extended versions to a
special issue of Information Systems.

* Topics of interest

The topics of the Cloud-I workshop include, but are not limited to, the
following list.
- Analytics as a service
- Analytics for complex, temporal, spatial, spatio-temporal, mobile, linked data...
- Cloud/Big Data analytics (OLAP, data mining...): algorithms, techniques and systems
- Cloud data warehouse design and architecture, Cloud infrastructure for analytics
- Cloud Intelligence scalability and parallelization: MapReduce and beyond
- Cloud Intelligence benchmarking
- Collaborative/cooperative Cloud Intelligence, Crowd intelligence, Result sharing
- Economic/payment models for cloud intelligence
- Extracting, Transforming and Loading data over the cloud, Open and private data cross-integration
- Human-Computer interaction for Cloud Intelligence, Accessibility of Cloud Intelligence
- Massively-scaled performance
- Personal intelligence
- Real-time/right-time and event-based analytics
- Security and Reliability in Cloud Intelligence
- Semantic Web intelligence

* Important dates

- Paper submission deadline: May 16, 2013
- Notification of acceptance: June 10, 2013
- Camera ready paper submission: June 17, 2013
- Workshop date: August 26, 2013

* Submission guidelines

Papers must be submitted electronically as PDF files following the ACM
proceedings format.
http://www.acm.org/sigs/publications/proceedings-templates

Regular papers and position papers must not to exceed 8 and 4 pages in
length, respectively, and must be submitted electronically on the
workshop's EasyChair website.
https://www.easychair.org/conferences/?conf=cloudi2013

* Workshop chairs

- Jéróme Darmont, Université de Lyon, France
- Torben Bach Pedersen, Aalborg University, Denmark

* Program committee

- Alberto Abello, Universitat Politecnica de Catalunya, Spain
- Fadila Bentayeb, Université de Lyon, France
- Sandro Bimonte, IRSTEA Clermont-Ferrand, France
- François Briant, IBM France
- Laurent d'Orazio, Université Clermont-Ferrand II, France
- Matteo Golfarelli, University of Bologna, Italy
- Le Gruenwald, University of Oklahoma, USA
- Nouria Harbi, Université de Lyon, France
- Anne Laurent, Université Montpellier 2, France
- Daniel Lemire, Université du Quebec a Montreal, Canada
- Morten Middelfart, TARGIT & illo, Denmark
- Jose-Norberto Mazon, University of Alicante, Spain
- Stefano Rizzi, University of Bologna, Italy
- Juan Trujillo, University of Alicante, Spain
- Panos Vassiliadis, University of Ioannina, Greece
- Gottfried Vossen, Universität Münster, Germany

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40th International Conference on Very Large Data Bases (VLDB 2014)

Research Track PVLDB Vol. 7 and VLDB 2014 We invite submissions of original

research papers to the volume

7 of Proceedings of the VLDB Endowment (PVLDB). Accepted papers will form

the Research Track for the 2014 VLDB conference.

The annual VLDB conference is a premier annual international forum for
database researchers, vendors, practitioners, application developers, and
users. PVLDB, established in 2008, is a scholarly journal for short and
timely research papers, with a journal-style review and quality-assurance
process. PVLDB is distinguished by a monthly submission process with rapid
reviews. PVLDB issues are published regularly throughout the year. Your
paper will appear in PVLDB soon after acceptance, and possibly in advance of
the VLDB conference. All papers accepted in time (see details on this below)
will both be published in PVLDB Vol. 7 and presented at the VLDB 2014
conference. At least one author of every submitted paper is expected to
attend the VLDB conference if the paper is accepted.

PVLDB is the only submission channel for research papers to appear in the
VLDB 2014 conference. Detailed information on the submission guidelines and
processes for this track may be found at
http://www.vldb.org/2014/submission_guidelines.html. The submission process
of other VLDB 2014 tracks may differ and is described in the respective
calls for papers.

Important Dates
Submission deadlines: 1st day of each month (first submission: April 1st,
2013, last submission March 1st, 2014) Author Notification: 2 months after
original submission for the 1st review,
2 months after revision submission the 2nd review and final decision.
Conference dates: September 1st-5th, 2014

Topics of Interest
PVLDB welcomes original research papers on a broad range of topics related
to data-centric computation, especially at scale.
The themes and topics listed below are intended as a sample of familiar
themes and topics; we encourage and expect papers on all data-centric
topics.

Systems for Data Management: data system architecture; storage, replication
and consistency; physical representations; query and dataflow processing

Scalable Data Analysis: complex queries and search; approximate querying;
scalable statistical methods; management of uncertainty and reasoning at
scale; data privacy and security

Management of Very Large Data Systems: availability; adaptivity and
self-tuning; power management; virtualization

Data Models and Languages: XML and semi-structured data; multi- media,
temporal and spatial data; declarative languages; language interfaces for
databases;

Performance and Evaluation: benchmarking; experimental methodology at scale;
scientific evaluation of complex data systems

Domain-Specific Data Management: methods and systems for science; developing
regions; networks and mobility; ubiquitous computing; sensors databases

Management of Web and Heterogeneous Data: information extraction;
information integration; meta-data management; data cleaning; service
oriented architectures

User Interfaces and Social Data: data visualization; collaborative data
analysis and curation; social networks; email and messaging analytics

To submit a paper, follow the submission guidelines at
http://www.vldb.org/2014/submission_guidelines.html, and choose the research
track for the correct month. Then carefully choose the subject area(s) that
best describe the paper. The areas indicated impact the choice of both AE
and reviewers.
(Make sure not to choose anything labeled "xxx Track" as a subject area.
This will cause your paper to be moved out of the research track and into
the other track you chose to mark.)

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