In the Cloud computing community, the calculation
of the reputation using the feedback of cloud customers is
widely adopted to address the issue of trustworthiness of cloud
services. Currently, most methods pursue a global reputation
score essentially assuming that the value of a cloud service’s
reputation is the same for every consumer. However depending
on the expectations and needs of a consumer, there can be
significant deviation of perceived reputation for the same cloud
service. In this paper we propose a trust management framework
that differentiates reputation for various user groups
thus providing what we term local reputation. To achieve this
we compute the similarity of consumers based a decision-tree
model which is used to cluster feedback into localised scores.
To refine the result, a time decay factor applicable to feedback
is also to be considered. The simulation results illustrate that
our approach is feasible and also effective for consumers to
choose reputable cloud service
