{"id":164318,"date":"2013-01-01T00:00:00","date_gmt":"2013-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/sqlvm-performance-isolation-in-multi-tenant-relational-database-as-a-service\/"},"modified":"2018-10-16T20:14:15","modified_gmt":"2018-10-17T03:14:15","slug":"sqlvm-performance-isolation-in-multi-tenant-relational-database-as-a-service","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sqlvm-performance-isolation-in-multi-tenant-relational-database-as-a-service\/","title":{"rendered":"SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service"},"content":{"rendered":"<div class=\"asset-content\">\n<p>A relational Database-as-a-Service provider, such as Microsoft SQL Azure, can share resources of a single database server among multiple tenants. This 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\u2019s performance due to resource demands of other tenants\u2019 workloads. Service providers today do not provide any assurances to a tenant in terms of isolating its performance from other co-located tenants. We present SQLVM, an abstraction for performance isolation which is built on a promise of reservation of key database server resources, such as CPU, I\/O and memory, for each tenant. The key challenge is in supporting this abstraction within a DBMS without statically allocating resources to tenants, while ensuring low overheads and scaling to large numbers of tenants. Our contributions are in (1) formalizing the above abstraction of SQLVM; (2) designing mechanisms to support the promised resources; and (3) proposing low-overhead techniques to objectively meter resource allocation to establish accountability. We implemented a prototype of SQLVM in Microsoft SQL Azure and our experiments demonstrate that SQLVM results in significantly improved performance isolation from other tenants when compared to the state-of-the-art.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A relational Database-as-a-Service provider, such as Microsoft SQL Azure, can share resources of a single database server among multiple tenants. This 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\u2019s performance due to resource demands of other [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"viveknar","user_id":"34602"},{"type":"user_nicename","value":"sudiptod","user_id":"33750"},{"type":"user_nicename","value":"manojsy","user_id":"32792"},{"type":"user_nicename","value":"badrishc","user_id":"31166"},{"type":"user_nicename","value":"surajitc","user_id":"33764"}],"msr_publishername":"6th Biennial Conference on Innovative Data Systems Research","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"CIDR 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