Proposal Submission Deadline: March 1, 2017 (5pm Pacific Time)
Notification of Acceptance: May 3, 2017
Camera Ready Copy Due: May 31, 2017
VLDB 2017 invites submissions for demo proposals on any topic of interest, broadly defined, to the data management community. Accepted demonstration papers will appear in the PVLDB proceedings.
The proposal must describe the demonstrated system and state the novelty and significance of the contribution to data management research, technologies, and/or its applications. The proposal should pay special attention to describing the exact demonstration scenarios for the given system. This should include how the audience will experience the demo, what kind of functionality is supported, user scenarios, interface and interaction options, etc. Proposals must be submitted in camera-ready format using the PVLDB formatting instructions, and are limited to 4 pages, inclusive of ALL material.
For the VLDB 2017 demonstration program, we specifically encourage the submission of a demonstration video (of up to 5 minutes, 30MB max. file size) together with your demonstration proposal via CMT. Both the demonstration proposal and the video will then be accessible by the reviewers. Your video should summarize your demonstration and also audio-visually highlight its most important aspects, such as the user interface, options for user interactions, the system setup, etc. The video should be submitted in MPEG/AVI format and be playable by the common media players.
To minimize biases in the evaluation process, we use CMT's conflict management system, through which authors should flag conflicts with the Demo Program Committee members. All authors of a submission must declare conflicts on CMT prior to the submission deadline.
You have a conflict with X:
Submissions with undeclared conflicts or spurious conflicts will be DESK REJECTED. There will be NO exceptions to this rule.
Note that demonstration proposals must not have been published, or be under consideration for publication, at any other forum. Demonstration proposals should specifically focus on the genuine aspects of the described systems and the intended interaction with the audience; they should not be a short version of an existing conference paper (whether or not this may have been published elsewhere).
Demonstration proposals must be submitted electronically, in PDF format, using the Conference Management Tool for VLDB 2017. When creating a new paper submission, you will be given the option to choose a track. Choose the "Demonstrations" track for your demo proposal. A respective option to upload the demonstration video will be made available.
Bingsheng He (National University of Singapore)
Martin Theobald (University of Luxembourg)
Reynold Xin (Databricks)
Alekh Jindal (Microsoft)
Alkis Simitsis (HP Labs)
Avery Ching (Facebook)
Carsten Binnig (Brown University)
Dahlmeier Daniel (SAP)
Danica Porobic (Oracle Labs)
Donald Kossmann (ETH Zurich)
Emmanuel Müller (Hasso Plattner Institute)
Eric Lo (Hong Kong Polytechnic University)
Eugene Wu (Columbia University)
Fatma Ozcan (IBM Research)
Fei Chiang (McMaster University)
Felix Martin Schuhknecht (Saarland University)
Fred Reiss (IBM)
Guoliang Li (Tsinghua University)
Jiannan Wang (UC Berkeley)
Johann Gamper (Free University of Bozen-Bolzano, Italy)
Jorge Quiane Ruiz (QCRI)
Joseph Gonzales (UC Berkeley)
Justin Levandoski (Microsoft Research)
Kai Zeng (Microsoft Research)
Katja Hose (Aalborg University)
Kyriakos Mouratidis (Singapore Management University)
Leong Hou U (University of Macau)
Liwen Sun (UC Berkeley)
Matei Zaharia (Stanford University)
Michael Cafarella (University of Michigan)
Michael Armbrust (Databricks)
Paolo Papotti (ASU)
Rainer Gemulla (University of Mannheim)
Ralf Schenkel (University of Trier)
Rubao Li (Ohio State University)
Rui Zhang (University of Delaware)
Sai Wu (Zhejiang University)
Sairam Gurajada (IBM Research, Almaden)
Shivaram Venkataraman (UC Berkeley)
Shuai Ma (Beihang University)
Srikanta Bedathur (IBM India Research Lab)
Wolfgang Gatterbauer (Carnegie Mellon University)
Xiaodong Zhang (Ohio State University)
Xike Xie (USTC)
Xin Huang (Hong Kong Baptist University)
Yannis Velegrakis (University of Trento)
Yin Huai (Databricks)
Yingyi Bu (Couchbase Inc.)
You Wu (Google Research)
Zeke Wang (National University of Singapore)
Zhe Chen (University of Michigan)