Study And Application Of VR Mechanism In Mainframe Systems Of Financial Industries

Nowadays, various types of transactions and hundreds of thousands of data in financial industries are handled by computers. In order to deal with these transactions, many major financial industries have used Mainframe systems to deal with important or core data. Then the security of these data becomes a problem. If the information system met crashes or was out of control because of different kinds of reasons, all of data stored in the system would not be useful any more. Thus, it is necessary for financial industries to build a mechanism which is called disaster recovery. Even if the information system takes some crashes, this mechanism can be used to recover important data so that financial services can be supported as usual.This thesis introduces some disaster-tolerant techniques used by major financial industries. We analyze their differences and conclude a disaster recovery method in the view of the middleware. Based on the principle of the CICSVR method, data storing in Mainframe systems and the structure of online files, we propose to apply CICSVR to Mainframe systems in financial industries. In addition, some formulas are used to compute disk space which would be additionally consumed by the CICSVR method. We also show that one should choose key files to set this method and to achieve the best performance. Finally, we apply this method to a certain banking system successfully.The purpose of this thesis is to apply CICSVR method to build efficient security systems for Mainframe Systems which are used by financial industries. We implement the disaster recovery of information systems in view of data. Because these data files are just stored on DASD, we can recover businesses by recovering the data files. The method is proved by the successful implementation of CICSVR method in the accounting application of a certain bank.