In practice, the design and architecture of a cloud varies among
cloud providers. We present a generic evaluation framework for the
performance, availability and reliability characteristics of
various cloud platforms. We describe a generic benchmark
architecture for cloud databases, specifically NoSQL database as a
service. It measures the performance of replication delay and
monetary cost.
Service Level Agreements (SLA) represent the contract which
captures the agreed upon guarantees between a service provider and
its customers. The specifications of existing service level
agreements (SLA) for cloud services are not designed to flexibly
handle even relatively straightforward performance and technical
requirements of consumer applications. We present a novel approach
for SLA-based management of cloud-hosted databases from the
consumer perspective and an end-to-end framework for
consumer-centric SLA management of cloud-hosted databases. The
framework facilitates adaptive and dynamic provisioning of the
database tier of the software applications based on
application-defined policies for satisfying their own SLA
performance requirements, avoiding the cost of any SLA violation
and controlling the monetary cost of the allocated computing
resources. In this framework, the SLA of the consumer applications
are declaratively defined in terms of goals which are subjected to
a number of constraints that are specific to the application
requirements. The framework continuously monitors the
application-defined SLA and automatically triggers the execution of
necessary corrective actions (scaling out/in the database tier)
when required. The framework is database platform-agnostic, uses
virtualization-based database replication mechanisms and requires
zero source code changes of the cloud-hosted software
applications.
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