Abstract: Efficient, reusable, extensible light weight framework orchestrates discrete mainframe service calls as a single composite service call. The single composite call requires a single mainframe socket and the mainframe disaggregates the composite service call upon receipt to process the individual service calls therein, thereby allowing the mainframe to handle more services calls simultaneously. A similar framework orchestrates distributed service calls from a mainframe client.

Abstract: A computerized method of identifying accounts stored in a database of an account management system, for review under jurisdictionally relevant CIP/AML/KYC requirements is described, as is a computerized account database access tool having a data extraction module, an inclusion rules module, an exclusion rules module and a merge and aggregate module.

Abstract: A network of computing nodes and a method of operating the computing nodes effectuate, in real-time, an international, money transfer from the bank account of a first person (the payer) in a first country to the bank account of a second person (the beneficiary) in a second, different, country.

Abstract: A system and computer-implemented method for providing a load-balanced server architecture to end users and allowing software on the server architecture to be updated without downtime during a transition to the new software version. Run-time errors due to incompatibilities between datatypes, interfaces, deserialization methods, and classes loaded by class loaders in object oriented server software may be avoided by using the system to track a software version used in association with a particular task. By routing requests related to a particular task to a particular server running the same software version, compatibility is maintained and efforts to migrate data across software servers or add code to handle cross-version compatibility are unnecessary.

Abstract: A system that can detect when abnormal trading activity is occurring and take action to halt the detected abnormal trading activity without human intervention using a computer-implemented anomaly detection and action stage that performs an exponential weighted averaging of trade order flow, on a per symbol basis within a sliding volume based window and a volume based exponential weighted averaging, on a per symbol basis, on trade update messages received during the sliding volume based window and checks for an inflection in covariance between them. A related method is also described.