| Vol-1671 urn:nbn:de:0074-1671-7 Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# VLDB-PhD 2016
VLDB 2016 PhD Workshop

### Proceedings of the VLDB 2016 PhD Workshop
co-located with the 42nd International Conference on Very Large Databases (VLDB 2016)

### New Delhi, India, September 9, 2016.

Edited by

### Torsten Grust *
Kamal Karlapalem **
Andy Pavlo ***

* University of Tübingen, Department of Computer Science, Tübingen, Germany
** International Institute of Information Technology, Hyderabad, India
*** Carnegie Mellon University, Department of Computer Science, Pittsburgh, PA, USA

## Table of Contents

- Preface

### Keynote

- Method to the Madness (invited talk)
  Tim Kraska

### Papers

- Efficient Fault Tolerance for Massively Parallel Dataflow Systems
  Sergey Dudoladov
- Building a Scalable Distributed Online Media Processing Environment
  Shadi A. Noghabi
- Heterogeneity-Aware Query Optimization
  Tomas Karnagel
- Distributed Moving Objects Database Based on Key-Value Stores
  Hong Van Le
- Identifying Top-K Optimal Locations for Placement of Large-Scale Trajectory-Aware Services
  Shubhadip Mitra
- Rigorous and Flexible Privacy Models for Utilizing Personal Spatiotemporal Data
  Yang Cao
- Have Your Cake and Eat it, Too: Data Provenance for Turing-Complete SQL Queries
  Tobias Müller
- Commonsense for Making Sense of Data
  Sreyasi Nag Chowdhury

2016-08-31: submitted by Torsten Grust, metadata incl. bibliographic data published under Creative Commons CC0
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