S.Pavithra, K.Savima
1PG Student STET Women’s college,
mannargudi.
2Professor of IT department, STET
Women’s college, mannargudi.
Cloud
data center management is a key problem due to the numerous and heterogeneous
strategies that can be applied, ranging from the VM placement to the federation
with other clouds. Performance evaluation of Cloud Computing infrastructures is
required to predict and quantify the cost-benefit of a strategy portfolio and
the corresponding Quality of Service (QoS) experienced by users. Such analyses
are not feasible by simulation or on-the-field experimentation, due to the
great number of parameters that have to be investigated. In this paper, we
present an analytical model, based on Stochastic Reward Nets (SRNs), that is
both scalable to model systems composed of thousands of resources and flexible
to represent different policies and cloud-specific strategies. Several
performance metrics are defined and evaluated to analyze the behavior of a
Cloud data center: utilization, availability, waiting time, and responsiveness.
A resiliency analysis is also provided to take into account load bursts.
Finally, a general approach is presented that, starting from the concept of
system capacity, can help system managers to opportunely set the data center
parameters under different working conditions. Cloud data center management is a key problem
due to the numerous and heterogeneous strategies that can be applied, ranging
from the VM placement to the federation with other clouds. Performance
evaluation of Cloud Computing infrastructures is required to predict and
quantify the cost-benefit of a strategy portfolio and the corresponding Quality
of Service (QoS) experienced by users. Analyses are not feasible by simulation
or on-the-field experimentation, due to the great number of parameters that
have to be investigated. An analytical model, based on Stochastic Reward Nets
(SRNs), that is both scalable to model systems composed of thousands of
resources and flexible to represent different policies and cloud-specific
strategies. Several performance metrics are defined and evaluated to analyze
the behavior of a Cloud data center: utilization, availability, waiting time,
and responsiveness. A resiliency analysis is also provided to take into account
load bursts. A general approach is
presented that, starting from the concept of system capacity to help system
managers opportunely set the data center parameters under different working
conditions.
