Publications by Simon Loesing

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2015

ETH Zürich, Diss. Nr. 22441, July 2015
Supervised by: Prof. Donald Kossmann
@phdthesis{abc,
	author = {Simon Loesing},
	school = {22441},
	title = {Architecture for Elastic Database Serv{\^\i}ces},
	year = {2015}
}
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, June 2015
@inproceedings{abc,
	author = {Simon Loesing and Markus Pilman and Thomas Etter and Donald Kossmann},
	booktitle = {Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia},
	title = {On the Design and Scalability of Distributed Shared-Data Databases.},
	url = {http://doi.acm.org/10.1145/2723372.2751519},
	year = {2015}
}
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, June 2015
@inproceedings{abc,
	author = {Claude Barthels and Simon Loesing and Gustavo Alonso and Donald Kossmann},
	booktitle = {Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia},
	title = {Rack-Scale In-Memory Join Processing using RDMA.},
	url = {http://doi.acm.org/10.1145/2723372.2750547},
	year = {2015}
}

2012

Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, January 2012
@inproceedings{abc,
	author = {Simon Loesing and Martin Hentschel and Tim Kraska and Donald Kossmann},
	booktitle = {Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany},
	title = {Stormy: An Elastic and Highly Available Streaming Service in the Cloud},
	url = {http://doi.acm.org/10.1145/2320765.2320789},
	year = {2012}
}

2010

Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2010, Indianapolis, Indiana, USA, June 2010
Cloud computing promises a number of advantages for the deployment of data-intensive applications. One important promise is reduced cost with a pay-as-you-go business model. Another promise is (virtually) unlimited throughput by adding servers if the workload increases. This paper lists alternative architectures to effect cloud computing for database applications and reports on the results of a comprehensive evaluation of existing commercial cloud services that have adopted these architectures. The focus of this work is on transaction processing (i.e., read and update workloads), rather than analytics or OLAP workloads, which have recently gained a great deal of attention. The results are surprising in several ways. Most importantly, it seems that all major vendors have adopted a different architecture for their cloud services. As a result, the cost and performance of the services vary significantly depending on the workload.
@inproceedings{abc,
	abstract = {Cloud computing promises a number of advantages for the deployment of data-intensive applications. One important promise is reduced cost with a pay-as-you-go business model. Another promise is (virtually) unlimited throughput by adding servers if the workload increases. This paper lists alternative architectures to effect cloud computing for database applications and reports on the results of a comprehensive evaluation of existing commercial cloud services that have adopted these architectures. The focus of this work is on transaction processing (i.e., read and update workloads), rather than analytics or OLAP workloads, which have recently gained a great deal of attention. The results are surprising in several ways. Most importantly, it seems that all major vendors have adopted a different architecture for their cloud services. As a result, the cost and performance of the services vary significantly depending on the workload.},
	author = {Donald Kossmann and Tim Kraska and Simon Loesing},
	booktitle = {Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2010, Indianapolis, Indiana, USA},
	title = {An Evaluation of Alternative Architectures for Transaction Processing in the Cloud},
	url = {http://doi.acm.org/10.1145/1807167.1807231},
	year = {2010}
}
PVLDB, January 2010
@article{abc,
	author = {Donald Kossmann and Tim Kraska and Simon Loesing and Stephan Merkli and Raman Mittal and Flavio Pfaffhauser},
	journal = {PVLDB},
	title = {Cloudy: A Modular Cloud Storage System.},
	year = {2010}
}

2009

Systems Group Master's Thesis, no. ETH Zürich; Department of Computer Science, October 2009
Supervised by: Prof. Donald Kossmann
@mastersthesis{abc,
	author = {Simon Loesing},
	school = {ETH Z{\"u}rich},
	title = {Benchmarking Web-Application Architectures in the Cloud},
	year = {2009}
}
Proceedings of the 2nd International Workshop on Testing Database Systems, DBTest 2009, Providence, Rhode Island, USA, January 2009
@inproceedings{abc,
	author = {Carsten Binnig and Donald Kossmann and Tim Kraska and Simon Loesing},
	booktitle = {Proceedings of the 2nd International Workshop on Testing Database Systems, DBTest 2009, Providence, Rhode Island, USA},
	title = {How is the weather tomorrow?: towards a benchmark for the cloud.},
	url = {http://doi.acm.org/10.1145/1594156.1594168},
	year = {2009}
}