The analysis of a system from the pure performance viewpoint tends to be optimistic since it ignores the failure/repair behavior in the system. On the other hand, pure availability analysis tends to be too conservative since performance considerations are not taken into account. Also, in a well-designed system, the failure of a component node will cause partial outage of the system, specifically, the decrease of system capacity available to the users, which further affects the performance and quality of service (QoS) to the users. Therefore, in real systems, availability, and performance are important QoS indices which should be studied in a composite manner. The combined evaluation of the indices described above is useful when the system under study can operate in a gracefully degradable manner in the presence of component failures. SHARPE and SPNP software packages that we have developed allow such combined performance/availability analysis.
Performability analysis of TDMA cellular systems based on composite and hierarchical Markov chain models (2001)
Performability analysis of channel allocation with channel recovery strategy in cellular networks (1998)
A unified performance reliability analysis of a system with a cumulative down time constraint (1992)
Computation of the distribution of the completion time when the work requirement is a ph random variable (1990)