@inproceedings{narasayya2013a,
author = {Narasayya, Vivek and Das, Sudipto and Syamala, Manoj and Chaudhuri, Surajit and Li, Feng and Park, Hyunjung},
title = {A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service},
booktitle = {SIGMOD 2013},
year = {2013},
month = {June},
abstract = {Sharing resources of a single database server among multiple tenants is common in multi-tenant Database-as-a-Service providers, such as Microsoft SQL Azure. Multi-tenancy enables cost reduction for the cloud service provider which it can pass on as savings to the tenants. However, resource sharing can adversely affect a tenant’s performance due to other tenants’ workloads contending for shared resources. Service providers today do not provide any assurances to a tenant in terms of isolating its performance from other co-located tenants. SQLVM, a project at Microsoft Research, is an abstraction for performance isolation which is built on a promise of reserving key database server resources, such as CPU, I/O and memory, for each tenant. The key challenge is in supporting this abstraction within a RDBMS without statically allocating resources to tenants, while ensuring low overheads and scaling to large numbers of tenants. This demonstration will show how SQLVM can effectively isolate a tenant’s performance from other tenant workloads co-located at the same database server. Our demonstration will use various scripted scenarios and a data collection and visualization framework to illustrate performance isolation using SQLVM.},
publisher = {ACM International Conference on Management of Data},
url = {http://approjects.co.za/?big=en-us/research/publication/demonstration-sqlvm-performance-isolation-multi-tenant-relational-database-service/},
isbn = {978-1-4503-2037-5},
edition = {SIGMOD 2013},
}