H-store: a high-performance, distributed main memory transaction processing system
Proceedings of the VLDB Endowment
The mixed workload CH-benCHmark
Proceedings of the Fourth International Workshop on Testing Database Systems
Efficiently compiling efficient query plans for modern hardware
Proceedings of the VLDB Endowment
Extensibility and Data Sharing in evolving multi-tenant databases
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
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Contrary to recent trends in database systems research focussing on scaling out workloads on a cluster of commodity computers, this demo will break grounds for scale-up. We show that an elastic multi-tenancy solution can be achieved by combining a many-core server with a low footprint main memory database system. Total transactional throughput for TPC-C like order-entry transactions reaches up to 2 million transactions per second on a 32 core server while the number of tenants sharing a single server can be varied from a few to hundreds of separate tenants without diminishing total throughput. Contrary to common belief, a scale-up solution provides high flexibility for tenants with growing throughput needs and allows for simple sharing of common resources between different tenants while minimizing hardware and computing overhead. We show that our approach can handle changes in tenant requirements with minimal impact on other tenants on the server. Additionally, we prove that our architecture provides sufficient per-tenant throughput to handle big tenants and scales well with database size.