Autonomous data consistency for cooperative applications to fairly ally the data in heterogeneous systems

Abstract

Different information systems have been integrated to respond quickly to changing user needs. Important requirements for the integration are not halting the entire system, not violating each system's mission, and deriving the synergetic effect. The data characteristics of each system are different in nature because each system has its original mission. Heterogeneous systems can be easily integrated without stopping their operation and without intervening in another system's characteristics by the on-line property and the recursive model of the autonomous decentralized system (ADS). After integration, the application objects (AOs) exploit other systems' data, thus it becomes possible for application objects in different systems to cooperate by synchronizing with others. In a single system or homogeneous systems, the synchronization can be done with the same timing or timing sequence, but in a heterogeneous system, such synchronization is less effective because the data properties are different. A new concept, data alliance, has been proposed. In data alliance, each system must determine the data combination independently and also the combinations determined in the different systems must be consistent with each other. The autonomous system can be defined by the nature of the autonomous controllability and autonomous coordination and these characteristics must be satisfied even in heterogeneous systems.