K-Nearest-Neighbor-Based Service Broker Policy for Data Center Selection in Cloud Computing Environment
Abstract
Cloud Computing offers various resources as services
to the internet users. This arise a very important issue in selecting
the appropriate data center(s) to serve users' requests. One of the
important components in the cloud computing environment is the
service broker, which's responsible for selecting an adequate data
center to serve a user request. Many of broker policies are
implemented in the cloud computing environment. A
K-Nearest-Neighbor-Based service broker policy for data center
selection in the cloud computing environment is proposed in this
paper. This policy used a list of distinctive features and
characteristics for each data center and user's request. The
results show that the proposed policy outperformed the
random-based policy in terms of Average Response Time (ART)
and Average Processing Time (APT).
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