workload.bib

@comment{{This file has been generated by bib2bib 1.97}}
@comment{{Command line: /usr/bin/bib2bib -ob workload.bib -c 'class : "workload"' lib.bib}}
@inproceedings{bopl04,
  title = {Characterization of the data access behavior for {TPC-C} traces},
  author = {R. Bonilla-Lucas and Peter Plachta and Aamer Sachedina and Daniel Jim\'{e}nez-Gonz\'{a}lez and Calisto Zuzarte and Josep-Lluis Larriba-Pey},
  booktitle = {Proc. IEEE International Symposium on Performance Analysis of Systems and Software},
  year = {2004},
  month = mar,
  pages = {115-122},
  class = {workload buffer},
  url = {http://www.db.uwaterloo.ca/~kmsalem/lib/lib/bopl04.pdf}
}
@inproceedings{chgu02,
  title = {Compressing {SQL} workloads},
  author = {Surajit Chaudhuri and Ashish Kumar Gupta and Vivek Narasayya},
  booktitle = {Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD'02)},
  year = {2002},
  pages = {488--499},
  annote = {A workload is a weighted set of SQL statements. Problem is to find a subset of these statements that can be used to replace the original workload as an input to certain applications, such that the substitution has little impact on the application's output. Applications considered are automatic index selection and approximate query answering.},
  class = {workload},
  isbn = {1-58113-497-5},
  location = {Madison, Wisconsin},
  url = {http://www.db.uwaterloo.ca/~kmsalem/lib/lib/chgu02.pdf}
}
@inproceedings{choz08,
  title = {Anomaly? Application Change? or Workload Change?},
  author = {L. Cherkasova and K. Ozonat and N. Mi and J. Symons and E. Smirni},
  booktitle = {Proc. of the International Conference on Dependable Systems and Networks (DSN'08)},
  year = {2008},
  class = {workload},
  timestamp = {13.10.2008},
  url = {http://www.hpl.hp.com/personal/Lucy_Cherkasova/papers/PDS-lucy-cherkasova.pdf}
}
@inproceedings{guku09,
  title = {Storage Workload Characterization and Consolidation in Virtualized Environments},
  author = {Ajay Gulati and Chethan Kumar and Irfan Ahmad},
  booktitle = {Proc. Int'l Workshop on Virtualization Performance: Analysis, Characterization, and Tools (VPACT'09)},
  year = {2009},
  class = {workload},
  timestamp = {02.07.2009},
  url = {http://www.db.uwaterloo.ca/~kmsalem/lib/lib/guku09.pdf}
}
@misc{kalm10,
  title = {{DB2} Workload Management Overview},
  author = {David Kalmuk},
  howpublished = {IBM slide deck},
  year = {2012},
  class = {workload},
  timestamp = {29.05.2013},
  url2 = {http://www.db.uwaterloo.ca/~kmsalem/lib/lib/kalm10.pdf}
}
@misc{kalm12,
  title = {{DB2 10.1}: Leveraging New Capabilities within the {WLM} Best Practices},
  author = {Kalmuk, D.},
  howpublished = {IDUG DB2 Tech Conference presentation},
  month = nov,
  year = {2012},
  class = {workload},
  timestamp = {29.05.2013},
  url2 = {http://www.db.uwaterloo.ca/~kmsalem/lib/lib/kalm12.pdf}
}
@inproceedings{wama04,
  title = {Developing a Characterization of Business Intelligence Workloads for Sizing New Database Systems},
  author = {Ted J. Wasserman and Patrick Martin and David B. Skillicorn and Haider Rizvi},
  booktitle = {Proceedings of the 7th ACM International Workshop on Data Warehousing and {OLAP}},
  year = {2004},
  pages = {7-13},
  publisher = {ACM Press},
  annote = {Query features are response time, CPU utilization during query execution, sequential and random I/O throughput during query execution, and the join degree. Queries are then clustered in feature space, using singular value decomposition and semi-discrete decomposition. TPC-H was used for evaluation.},
  class = {workload},
  url = {http://www.db.uwaterloo.ca/~kmsalem/lib/lib/wama04.pdf}
}
@article{yuch92,
  title = {On Workload Characterization of Relational Database Environments},
  author = {Philip S. Yu and Ming-Syan Chen and Hans-Ulrich Heiss and Sukho Lee},
  journal = {IEEE Transactions on Software Engineering},
  year = {1992},
  number = {4},
  pages = {347-355},
  volume = {18},
  annote = {Presents some statistics characterizing the database workload generated by some kind of corporate accounting application. Both structural statistics (e.g., number of statements of different types, number of predicates and attributes used in each statement, transaction sizes) and statement execution statistics (e.g., number of tuples retrieved) are collected. There is no attempt to demonstrate that these statistics are useful for any specific purpose.},
  class = {workload},
  url = {http://www.db.uwaterloo.ca/~kmsalem/lib/lib/yuch92.pdf}
}
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