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45th International Conference on Very Large Data Bases (VLDB 2019)

Call For Research Papers

45th International Conference on Very Large Data Bases (VLDB 2019)

http://vldb.org/2019

Los Angeles, California, USA -
August 26-30, 2019

Overview

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. Its 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 will be published in PVLDB Vol.
12 and also presented at the VLDB 2019 conference.

We invite submissions of original research papers to Volume 12 of the
Proceedings of the VLDB Endowment (PVLDB). Papers accepted by June 15, 2019
will form the Research Track of the 2019 VLDB conference, together with any
rollover papers from Volume 11. Papers accepted to Volume 12 after June 15,
2019 will be rolled over to the 2020 VLDB conference.

PVLDB is the only submission channel for research papers to appear in the
VLDB 2019 conference. The submission process for other VLDB 2019 tracks is
different, and is described in their respective calls for papers. In
addition to traditional research papers, PVLDB welcomes thought provoking
papers that fall under the following special categories within the research
track:

Experiment and Analysis Papers:
These papers focus on the evaluation of existing algorithms, data
structures, and systems that are of wide interest. The scientific
contribution of an E&A track paper lies in providing new insights into the
strengths and weaknesses of existing methods rather than providing new
methods.

Innovative Systems and Applications Papers:
These papers describe novel architectures for data systems, and non-obvious
lessons learned in their application. The details of design goals (e.g., the
class of workload to be supported), systems architecture, new abstractions,
and design justifications are expected.

Systems papers come in many flavors. They may describe the design issues and
architecture of a complete system, or focus on specific issues, such as
storage, query processor, indexes, transaction management of a system, or
extension of an open source for certain applications not well supported, or
address specific performance issues, such as algorithms designed to exploit
new hardware (multi core, SIMD, NUMA, HTM, SGX, etc).

Vision Papers:
Vision papers outline futuristic information systems and architectures or
anticipate new challenges. Submissions would describe novel projects that
are in an early stage but hold out the strong promise of eventual high
impact.

For more information please visit:
http://vldb.org/2019/?call-for-research-track


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Topics of
Interest
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PVLDB welcomes original research papers on a broad range of topics related
to all aspects of data management. The themes and topics listed below are
intended to serve primarily as indicators of the kinds of data-centric
subjects that are of interest to PVLDB - they do not represent an exhaustive
list.

* Access Methods, Concurrency Control, Recovery, Transactions, Indexing and
Search, In-memory Data Management, Hardware Accelerators, Query Processing
and Optimization, Storage Management.
* Privacy and Security in Data Management.
* Graph Data Management, Social Networks, Recommendation Systems.
* Data Mining and Analytics, Warehousing.
* Crowdsourcing, Embedded and Mobile Databases, Real-time Databases, Sensors
and IoT, Stream Databases.
* Data Models and Query Languages, Schema Management and Design, Database
Usability, User Interfaces and Visualization.
* Tuning, Benchmarking, Performance Measurement, Database Administration and
Manageability.
* Distributed Database Systems, Cloud Data Management, NoSQL, Scalable
Analytics, Distributed Transactions, Consistency, P2P and Networked Data
Management, Database-as-a-Service, Content Delivery Networks.
* Provenance and Workflows, Spatial, Temporal, and Multimedia Databases,
Scientific and Medical Data Management, Profile-based or Context-Aware Data
Management.
* Data Cleaning, Information Filtering and Dissemination, Information
Integration, Metadata Management, Data Discovery, Web Data Management,
Semantic Web, Heterogeneous and Federated Database Systems.
* Fuzzy, Probabilistic and Approximate Databases, Information Retrieval,
Text in Databases.


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Submission Process
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Papers are to be formatted according to the conference's camera-ready
format, as embodied in the document templates available at
http://vldb.org/2019/?formatting-guidelines.

Same as PVLDB 2018: The maximum research paper length is 12 pages, not
including references whose pages could extend paper length to beyond the 12
pages limit. There is no limit on the number of pages used for references.

The conference management tool for the submission of abstracts and papers is
accessible at: https://cmt3.research.microsoft.com/VLDB2019/

PVLDB uses a novel review process designed to promote timely submission,
review, and revision of scholarly results. The process will be carried out
over 12 submission deadlines during the year preceding the VLDB 2019
conference. We describe manuscript preparation and submission procedure at
http://vldb.org/2019/?submission-guidelines.

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Important Dates
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* A Rolling Deadline occurs on the 1st of each month, 5:00 PM Pacific Time
(Daylight Savings observed according to US calendar). This deadline is
strict and no extensions will be granted.
* The next monthly submission deadline for PVLDB Volume 12 is 1st of July
2018. The final deadline is 1st of March 2019.
* For each submission cycle, the CMT site will be open for submissions from
the 20th of the previous month. For example, the submissions for July 2018
will be accepted from June 20 onwards.



This post first appeared on Beamtenherrschaft, please read the originial post: here

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45th International Conference on Very Large Data Bases (VLDB 2019)

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