The replication between the primary and secondary (standby) databases can be configured in either synchronous or asynchronous mode. It is referred to as out-of-sync in either mode if there is any lag between the primary and standby databases. In the previous research, the advantages of the asynchronous method were demonstrated over the synchronous method on highly transactional databases. The asynchronous method requires human intervention and a great deal of manual effort to configure disaster recovery database setups. Moreover, in existing setups there was no accurate calculation process for estimating the lag between the primary and standby databases in terms of sequences and time factors with intelligence. To address these research gaps, the current work has implemented a self-image looping database link process and provided decision-making capabilities at standby databases. Those decisions from standby are always in favor of selecting the most efficient data retrieval method and being in sync with the primary database. The purpose of this paper is to add intelligence and automation to the standby database to begin taking decisions based on the rate of concurrency in transactions at primary and out-of-sync status at standby.

Numerical computation of induced surface current density, power gain, conversion efficiency, optimum interaction length and harmonic generation etc. pertaining to large-signal operation of a linear beam travelling wave tube amplifier (TWTA) employing a dielectric-loaded sheath helix model for the slow-wave structure based on the large-signal theory developed in Part 1 of this paper is presented, and comparison with the results of other large-signal theories and available experimental evidence is made.