The
Reliability problems in today’s competitive fast-paced
environment are complex and can be addressed by numerous
possible courses of action. Achieving High network
Reliability requires evaluating multiple alternatives and
choosing the best course of action.
The Solutions We design the system reliability that the
customer/application requires, by applying the latest
research in modeling and optimization.
This methodology provides the most convenient and useful
way for decision-making. We can analyze multiple decision
alternatives and present them to the customer in a clear and
concise manner with appropriate recommendations before
having to choose a specific implementation.
Reliability analysis is the key step in the design and
use of a system to obtain the highest reliability for a
given cost.
A complete analysis involves understanding of the system
impact from different workloads, processors, languages,
operating systems, networking architectures, database
systems, etc, utilizing various analysis techniques such as
statistics, probability theory, experimental design, markov
models, simulation, and queueing theory. We combine them in
concert with the latest research and leading edge findings
to produce a comprehensive and sound design.
We utilize a systematic quantitative approach in
analyzing system reliability. This approach lends itself to
the development of predictive models for reliability
planning. Instead of relying on intuition, ad hoc
procedures, and rules of thumb, we provide an uniform and
formal way of dealing with reliability problems.
