Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs
Aaron J. Elmore, Sudipto Das, Alexander Pucher, Divyakant Agrawal, Amr El Abbadi, Xifeng Yan · 2013
A multitenant database management system (DBMS) in the cloud must continuously monitor the trade-off between efficient resource sharing among multiple application databases (tenants) and their performance. Considering the scale of \attn{hundreds to} thousands of tenants in such multitenant DBMSs, manual approaches for continuous monitoring are not tenable. A self-managing controller of a multitenant DBMS faces several challenges. For instance, how to characterize a tenant given its variety of workloads, how to reduce the impact of tenant colocation, and how to detect and mitigate a performance crisis where one or more tenants' desired service level objective (SLO) is not achieved.