  Cloud computing management are beyond typical human narratives. However if a
virtual system is not effectively designed to tolerate Byzantine faults, it
could lead to a faultily executed mission rather than a cloud crash. The cloud
could recover from the crash but it could not recover from the loss of
credibility. Moreover no amount of replication or fault handling measures can
be helpful in facing a Byzantine fault unless the virtual system is designed to
detect, tolerate and eliminate such faults. However research efforts that are
made to address Byzantine faults have not provided convincing solutions vastly
due to their limited capabilities in detecting the Byzantine faults. As a
result, in this paper the Cloud system is modeled as a discrete system to
determine the virtual system behavior at varying time intervals. A delay
variation variable as a measure of deviation for the expected processing delay
associated with the virtual nodes takes values from the set of P {low, normal,
high, extreme}. Similarly, a check sum error variable which is even computed
for intra nodes that have no attachment to TCP/IP stack takes values from the
set of P {no error, error}. These conditions are then represented by the
occurrence of faulty events that cause specific component mode transition from
fail safe to fail-stop or byzantine prone.
