![](bg4.png)
(a) (b) (c)
Figure 4: (a) Comparison of Mean Time to Absorption with the Starting State of k=2and l=[0,1,2] (b) Mean Time to
Absorption Starting with k=[1,2,3] and l=2 (c) Reliability Comparison of Various Data Access Rate.
In order to evaluate how much reliable in the
proposed system, we compared the reliability values
by varying the data access rate from 300 to 550 per
hour. The results are shown in figure 4(c). In the
figure, it can be said that the system is more reliable
in accordance with higher data access rate.
6 CONCLUSIONS
Data replication is an essential technique to reduce
user waiting time, speeding up data access by
providing users with different replicas of
the same
service. To take advantage of these, we propose an
effective replication model to manage replication
degree in which it takes failure rate and data access
popularity into account.
In this paper, we quantify
the effects of variations in workload (i.e data access
rate) and initial system configuration (setting up the
replica number and data access level) on cloud
storage quality in terms of reliability and mean time
to failure. The experimental results demonstrate that
the proposed model is able to adapt the varying data
access load and therefore it can be more efficient in
cloud data storage.
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