Dipl.-Inf. Daniel Schall

Contact

E-Mail:

schall@cs.uni-kl.de

Phone:

+49 631 205 3274

Fax:

+49 631 205 3299

Room:

36/318

Mail:

 

Daniel Schall
University of Kaiserslautern
Department of Computer Science
AG DBIS
P. O. Box 3049
67653 Kaiserslautern
Germany

 

Research Interests

  • The WatttDB project
  • Energy-Efficient DBMS
  • Query Processing on Modern Hardware
  • Distributed Databases

Publications

2015

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Daniel Schall
Energy Efficiency in Databases
Verlag Dr. Hut, München, April 2015
ISBN: 978-3-8439-2085-8
pdf
Daniel Schall and Theo Härder
Dynamic Physiological Partitioning on a Shared-nothing Database Cluster
In: Proc. ICDE, Seoul, Korea, pp. 1095-1106
April 2015
pdf
Daniel Schall and Theo Härder
Energy and Performance - Can Wimpy-Node Cluster Challenge a Brawny Server?
In: Proc. BTW, LNI 241, Hamburg, pp. 197-216
March 2015
pdf
Sandy Ganza, Thomas Psota, Daniel Schall and Theo Härder
Visualizing the Behaviour of an Elastic, Energy-Efficient Database Cluster
In: Proc. BTW, LNI 241, Hamburg, pp. 691-694
March 2015
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Daniel Schall
Energy Efficiency in Databases
Ph.D. Thesis, University of Kaiserslautern, February 2015

2014

pdf
Daniel Schall and Theo Härder
WattDB - A Journey towards Energy Efficiency
Datenbank-Spektrum, 14(3), pp. 183-198
Springer, November 2014
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Daniel Schall and Theo Härder
Dynamic Physiological Partitioning on a Shared-nothing Database Cluster
CoRR abs/1407.0120
July 2014
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Daniel Schall and Theo Härder
Energy and Performance - Can a Wimpy-Node Cluster Challenge a Brawny Server?
CoRR abs/1407.0386
July 2014
pdf
Daniel Schall and Theo Härder
Approximating an Energy-Proportional DBMS by a Dynamic Cluster of Nodes
In: Proc. DASFAA Conf., LNCS 8421, Bali, Indonesia, pp. 297-311
April 2014

2013

pdf
Daniel Schall and Theo Härder
Energy-proportional Query Execution using a Cluster of Wimpy Nodes
In: Proc. SIGMOD Workshop "Data Management on New Hardware (DaMoN)",
http://dl.acm.org/citation.cfm?doid=2485278.2485279, June 2013
pdf
Daniel Schall and Theo Härder
Towards an Energy-Proportional Storage System using a Cluster of Wimpy Nodes
In: Proc. 15. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2013), LNI 214, pp. 311-326
March 2013

2012

pdf
Theo Härder and Daniel Schall
WattDB - A Cluster of Wimpy Processing Nodes to Approximate Energy Proportionality
In: Proc. 42. Gi-Jahrestagung 2012, LNI 208, pp. 394-396
GI, September 2012
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