The mainframe strikes back: multi tenancy in the main memory database HyPer on a TB-server

Abstract

Contrary to recent trends in database systems research focussing on scaling out workloads on a cluster of commodity computers, this presentation 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.