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With the proliferation of Software-as-a-Service (SaaS) offerings,
it is becoming increasingly important for individual SaaS providers
to operate their services at a low cost. This book investigates
SaaS from the perspective of the provider and shows how operational
costs can be reduced by using "multi tenancy," a technique for
consolidating a large number of customers onto a small number of
servers. Specifically, the book addresses multi tenancy on the
database level, focusing on in-memory column databases, which are
the backbone of many important new enterprise applications. For
efficiently implementing multi tenancy in a farm of databases, two
fundamental challenges must be addressed, (i) workload modeling and
(ii) data placement. The first involves estimating the (shared)
resource consumption for multi tenancy on a single in-memory
database server. The second consists in assigning tenants to
servers in a way that minimizes the number of required servers (and
thus costs) based on the assumed workload model. This step also
entails replicating tenants for performance and high availability.
This book presents novel solutions to both problems.
With the proliferation of Software-as-a-Service (SaaS) offerings,
it is becoming increasingly important for individual SaaS providers
to operate their services at a low cost. This book investigates
SaaS from the perspective of the provider and shows how operational
costs can be reduced by using "multi tenancy," a technique for
consolidating a large number of customers onto a small number of
servers. Specifically, the book addresses multi tenancy on the
database level, focusing on in-memory column databases, which are
the backbone of many important new enterprise applications. For
efficiently implementing multi tenancy in a farm of databases, two
fundamental challenges must be addressed, (i) workload modeling and
(ii) data placement. The first involves estimating the (shared)
resource consumption for multi tenancy on a single in-memory
database server. The second consists in assigning tenants to
servers in a way that minimizes the number of required servers (and
thus costs) based on the assumed workload model. This step also
entails replicating tenants for performance and high availability.
This book presents novel solutions to both problems.
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