Notes on Data Base Operating Systems
Operating Systems, An Advanced Course
Extending RDBMSs To Support Sparse Datasets Using An Interpreted Attribute Storage Format
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
Multi-tenant databases for software as a service: schema-mapping techniques
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
ICEBE '08 Proceedings of the 2008 IEEE International Conference on e-Business Engineering
Supporting Database Applications as a Service
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
A comparison of flexible schemas for software as a service
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
The design of the force.com multitenant internet application development platform
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Variability in multi-tenant environments: architectural design patterns from industry
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
ProRea: live database migration for multi-tenant RDBMS with snapshot isolation
Proceedings of the 16th International Conference on Extending Database Technology
Parallel analytics as a service
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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Software as a Service (SaaS) facilitates acquiring a huge number of small tenants by providing low service fees. To achieve low service fees, it is essential to reduce costs per tenant. For this, consolidating multiple tenants onto a single relational schema instance turned out beneficial because of low overheads per tenant and scalable manageability. This approach implements data isolation between tenants, per-tenant schema extension and further tenant-centric data management features in application logic. This is complex, disables some optimization opportunities in the RDBMS and represents a conceptual misstep with Separation of Concerns in mind. Therefore, we contribute first features of a RDBMS to support tenant-aware data management natively. We introduce tenants as first-class database objects and propose the concept of a tenant context to isolate a tenant from other tenants. We present a schema inheritance concept that allows sharing a core application schema among tenants while enabling schema extensions per tenant. Finally, we evaluate a preliminary implementation of our approach.