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Call for Papers: Industrial, Applications, and Experience Track

Important Dates

Submission Site Open: February 4, 2016
Submission Deadline: March 4, 2016 (5pm Pacific Time)
Notification: May 4, 2016
Camera-ready copy: May 30, 2016

Topics of Interest

The Industrial, Applications, and Experience Track covers innovative commercial data management systems, applications and database implementations, novel applications of database technology, and experience in applying recent research advances to real-world problems.
The topics addressed may include consumer or enterprise data management problems. Description of products or products lines must have a strong technical component, with a clear description of use cases and the technology behind it. New applications, challenging use cases, and in depth analysis of technology trends are highly welcomed. Topics of interest include, but are not limited to:

  • Advanced Analytics
  • Application Areas (e.g. Finance, Government, Retail, Telecommunications, Health and Life Sciences)
  • Big Data
  • Cloud Computing
  • Context-Aware Computing
  • Database Appliances
  • Mobile Data Management
  • New Hardware Trends
  • Self-Managing Systems
  • Social Networking
  • Software as a Service
  • Web Data Management

Paper Formatting:

Industrial track submissions must be in camera-ready format using the PVLDB formatting instructions, and are limited to 12 pages,inclusive of ALL material.


To minimize biases in the evaluation process, we use CMT's conflict management system, through which authors should flag conflicts with Industrial Review Board members. All authors of a submission must declare conflicts on CMT prior to the submission deadline.

You have a conflict with X:

  • If you and X have worked in the same university or company in the past two years, or will be doing so in the next six months on account of an accepted job offer. Different campuses do not count as the same university for this purpose -- UC Berkeley does not have a conflict with UC Santa Barbara.
  • If you and X have collaborated recently, as evidenced in a joint publication or jointly organized event in the past two years, or are collaborating now.
  • If you are the PhD thesis advisor of X or vice versa, irrespective of how long ago this was.
  • If X is a relative or close personal friend.

Submissions with undeclared conflicts or spurious conflicts will be SUMMARILY REJECTED. There will be NO exceptions to this rule.

Originality and Duplicate Submissions:

A paper submitted to the Industrial track must present original work not described in any prior publication that is more than 4 double-column VLDB-style pages in length. A prior publication is a paper that has been accepted for presentation at a refereed conference or workshop with proceedings; or an article that has been accepted for publication in a refereed journal. If a submission has overlap with a prior publication, the submission must cite the prior publication, along with all other relevant published work, even if this prior publication is at or below the 4-page length threshold.

A paper submitted to the Industrial track cannot be under review for any other publishing forum or presentation venue, including conferences, workshops, and journals, during the time it is being considered for VLDB 2016. After you submit a paper to VLDB 2016, you must await the response and only resubmit elsewhere if your paper is rejected, or withdrawn at your request, from VLDB 2016.

Paper Submission:

Industrial track submissions must be submitted electronically, in pdf format, by March 4, 2016 (5 PM PST) using the Conference Management Tool for VLDB 2016. When creating a new paper submission, you will be given the option to choose a track. Choose the “Industrial” track for your submission.

Track Chairs

Gustavo Alonso (ETH Zurich, Switzerland)
Anant Jhingran (Apigee, USA)
S Seshadri (Zettata, India)

Industrial Track PC members

Cagri Balkesen, Oracle Labs, Switzerland
Sang K. Cha, Seoul National U., South Korea
Shimin Chen, ICT, China
Wei Fan, Huawei Labs, Hong Kong
Ioana Giurgiu, IBM Research, Switzerland
Gernot Heiser, NICTA, Australia
Wolfgang Lehner, TU Dresden, Germany
Ippokratis Pandis, Amazon, USA
Shankar Pasupathy, NetApp, USA
Marta Patiño, UPM, Spain
Vishy Poosala, Facebook, USA
Jun Rao, Confluent, USA
Prasan Roy, Sclera, India
Tudor-Ioan Salomie, Google, Switzerland
Sunil Sayyaparaju, Aerospike, India
Liuba Shrira, Brandeis U., USA
Swami Sivasubramanian, Amazon, USA
Ruihua Song, Microsoft Research, China
Jun Tatemura, NEC Labs, USA
Yuanyuan Tian, IBM Research, USA
Philipp Unterbrunner, Snowflake Computing, USA
Lan Jun Wang, IBM Research, China