New TPC benchmarks for decision support and web commerce
ACM SIGMOD Record
Benchmarking database design for mixed OLTP and OLAP workloads
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
How to efficiently snapshot transactional data: hardware or software controlled?
Proceedings of the Seventh International Workshop on Data Management on New Hardware
Proceedings of the 15th International Conference on Extending Database Technology
Compacting transactional data in hybrid OLTP&OLAP databases
Proceedings of the VLDB Endowment
Metrics for measuring the performance of the mixed workload CH-benCHmark
TPCTC'11 Proceedings of the Third TPC Technology conference on Topics in Performance Evaluation, Measurement and Characterization
Workload diversity and dynamics in big data analytics: implications to system designers
Proceedings of the 2nd Workshop on Architectures and Systems for Big Data
Workload management for big data analytics
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
ScyPer: elastic OLAP throughput on transactional data
Proceedings of the Second Workshop on Data Analytics in the Cloud
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While standardized and widely used benchmarks address either operational or real-time Business Intelligence (BI) workloads, the lack of a hybrid benchmark led us to the definition of a new, complex, mixed workload benchmark, called mixed workload CH-benCHmark. This benchmark bridges the gap between the established single-workload suites of TPC-C for OLTP and TPC-H for OLAP, and executes a complex mixed workload: a transactional workload based on the order entry processing of TPC-C and a corresponding TPC-H-equivalent OLAP query suite run in parallel on the same tables in a single database system. As it is derived from these two most widely used TPC benchmarks, the CH-benCHmark produces results highly relevant to both hybrid and classic single-workload systems.