DOTNET PROJECT
Reliability
and Availability Evaluation for Cloud Data Center Networks Using Hierarchical
Models
Abstract:
Modeling a cloud computing center is crucial
to evaluate and predict its inner connectivity reliability and availability.
Many previous studies on system availability/reliability assessment of
virtualized systems consisting of singular servers in cloud data centers have
been reported. In this paper, we propose a hierarchical modeling framework for
the reliability and availability evaluation of tree-based data center networks.
The hierarchical model consists of three layers, including
1) reliability graphs in the top layer to
model the system network topology;
2) a fault-tree to model the architecture of
the subsystems; and
3) stochastic reward nets to capture the
behaviors and dependency of the components in the subsystems in detail. Two
representative data center networks based on three-tier and fat-tree topologies
are modeled and analyzed in a comprehensive manner. We specifically consider a
number of case-studies to investigate the impact of networking and management
on cloud computing centers. Furthermore, we perform various detailed analyses
with regard to reliability and availability measures for the system models. The
analysis results show that appropriate networking to optimize the distribution
of nodes within the data center networks can enhance the
reliability/availability. The conclusion of this paper can be used toward the
practical management and the construction of cloud computing centers.
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