cost-effectiveness of the storage service, the object
stores use hard disk drives (HDDs). However, the lower
performance of HDDs affect tenants who have strict
performance requirements for their big data applications.
The use of faster storage devices such as solid state
drives (SSDs) is thus desirable by the tenants, but incurs
significant maintenance costs to the provider. We design a
tiered object store for the cloud, which comprises both
fast and slow storage devices. The resulting hybrid store
exposes the tiering to tenants with a dynamic pricing model
that is based on the tenants’ usage and the provider’s
desire to maximize profits. The tenants leverage knowledge
of their workloads and current pricing information to
select a data placement strategy that would meet the
application requirements at the lowest cost.