@inproceedings{das2013cpu,
author = {Das, Sudipto and Narasayya, Vivek and Li, Feng and Syamala, Manoj},
title = {CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service},
booktitle = {Proceedings of the VLDB Endowment},
year = {2013},
month = {September},
abstract = {Multi-tenancy and resource sharing are essential to make a Database-as-a-Service (DaaS) cost-effective. However, one major consequence of resource sharing is that the performance of one tenant's workload can be significantly affected by the resource demands of co-located tenants. The lack of performance isolation in a shared environment can make DaaS less attractive to performance-sensitive tenants. Our approach to performance isolation in a DaaS is to isolate the key resources needed by the tenants' workload. In this paper, we focus on the problem of effectively sharing and isolating CPU among co-located tenants in a multi-tenant DaaS. We show that traditional CPU sharing abstractions and algorithms are inadequate to support several key new requirements that arise in DaaS: (a) absolute and fine-grained CPU reservations without static allocation; (b) support elasticity by dynamically adapting to bursty resource demands; and (c) enable the DaaS provider to suitably tradeoff revenue with fairness. We implemented these new scheduling algorithms in a commercial DaaS prototype and extensive experiments demonstrate the effectiveness of our techniques.},
publisher = {Very Large Data Bases Endowment Inc.},
url = {http://approjects.co.za/?big=en-us/research/publication/cpu-sharing-techniques-for-performance-isolation-in-multi-tenant-relational-database-as-a-service/},
pages = {12},
edition = {Proceedings of the VLDB Endowment},
}