Abstract:
Cloud computing paradigm contains many
shared resources such as infrastructures, data
storage, various platforms and software. In cloud
storage service, consistency not only influences
the performance and availability of the systems
but also the overall operational cost. This paper
is proposed an analytical model using MM1
queuing for data consistency on private cloud
storage system to evaluate the discarding
probability based on update requests to handle
update conflict. After updating data, replicas can
be active or inactive in the system. In this paper,
Markov Chain is applied for a replica to improve
the readability and consistency of storage on the
cloud environment.
