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Graham Cormode Ke Yi
Antonios Deligiannakis Minos Garofalakis(Eds.)
First International Workshop on
Big Dynamic Distributed Data (BD3)
Workshop at VLDB 2013
Riva Del Garda, Italy, August 30, 2013
Proceedings
c 2013 for the individual papers by the papers’ authors. Copying permitted for private and
academic purposes. Re-publication of material from this volume requires permission by the copy-
right owners.
Editors’ contacts:
G.Cormode@warwick.ac.uk, yike@cse.ust.hk, adeli@softnet.tuc.gr, minos@softnet.tuc.gr
First International Workshop on Big Dynamic Distributed Data (BD3)
Preface
As the amount of streaming data produced by large-scale systems such as environmental mon-
itoring, scientific experiments and communication networks grows rapidly, new approaches are
needed to effectively process and analyze such data. There are several promising directions in
the area of large-scale distributed computation, that is, where multiple computing entities work
together over partitions of the massive, streaming data to perform complex computations. Two
important paradigms in this realm are continuous distributed monitoring (i.e., continually main-
taining an accurate estimate of a complex query), and distributed and cluster-based systems that
allow the processing of big, streaming data (e.g., IBM System S, Apache S4, and Twitter Storm).
The aim of the BD3 workshop is to bring together computer scientists with interests in this
field to present recent innovations, find topics of common interest and to stimulate further devel-
opment of new approaches to deal with massive dynamic and distributed data.
August 2013 Graham Cormode, Antonios Deligiannakis,
Minos Garofalakis, Ke Yi
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First International Workshop on Big Dynamic Distributed Data (BD3)
Organizing Committee
General Chairs:
Minos Garofalakis
Technical University of Crete
minos@softnet.tuc.gr
Antonios Deligiannakis
Technical University of Crete
adeli@softnet.tuc.gr
Program Chairs:
Graham Cormode
University of Warwick
G.Cormode@warwick.ac.uk
Ke Yi
Hong Kong University of Science and Technology
yike@cse.ust.hk
Publicity Chair:
Odysseas Papapetrou
Technical University of Crete
papapetrou@softnet.tuc.gr
Program Committee
Alin Dobra U. Florida
Pascal Felber Universite de Neuchatel
Christof Fetzer TU Dresden
Ling Huang Intel Research
Daniel Keren Haifa
Andrew McGregor UMass-Amherst
Stavros Papadopoulos HKUST
Odysseas Papapetrou Technical University of Crete
Jeff Phillips Utah
Peter Pietzuch Imperial College London
Neoklis Polyzotis UC Santa Cruz
Assaf Schuster Technion
Izchak Sharfman Technion
Nesime Tatbul Intel Labs / MIT
Srikanta Tirthapura Iowa State
Suresh Venkatasubramanian Utah
Milan Vojnovic Microsoft Research
Qin Zhang IBM Research
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Contents
Safe-Zones for Monitoring Distributed Streams
Daniel Keren, Guy Sagy, Amir Abboud, David Ben-David, Izchak Sharfman, and Assaf Schuster 7
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchro-
nizations
Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster and Izchak Sharfman 13
Communication-efficient Outlier Detection for Scale-out Systems
Moshe Gabel, Daniel Keren and Assaf Schuster 19
Elastic Complex Event Processing under Varying Query Load
Thomas Heinze, Yuanzhen Ji, Yinying Pan, Franz Josef Grueneberger, Zbigniew Jerzak, and Christof
Fetzer 25
Adaptive Selective Replication for Complex Event Processing Systems
Franz Josef Grünberger, Thomas Heinze and Pascal Felber 31
Dynamic Partitioning of Big Hierarchical Graphs
Vasilis Spyropoulos and Yannis Kotidis 37
Scalable and Robust Management of Dynamic Graph Data
Alan G. Labouseur, Paul W. Olsen Jr. and Jeong-Hyon Hwang 43
Towards Elastic Stream Processing: Patterns and Infrastructure
Kai-Uwe Sattler and Felix Beier 49
Task Graphs of Stream Mining Algorithms
Sayaka Akioka 55
Large-scale Online Mobility Monitoring with Exponential Histograms
Christine Kopp, Michael Mock, Odysseas Papapetrou and Michael May 61
Multi-Stage Malicious Click Detection on Large Scale Web Advertising Data
Leyi Song, Xueqing Gong, Xiaofeng He, Rong Zhang and Aoying Zhou 67
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