The Bank of New York Mellon Corporation

Madhusudan Rana

Brian Blank

Song He

Pavithran Rajendran

Bryan Chan

Sarthak Pattanaik

Vadim Pertsovskiy

A processing system allows external systems to customize and extend services without increasing system intricacy. The processing platform maintains cloud containers that support virtual machines for external systems. An external system provides code for execution on a virtual machine that is supported by a cloud container. Cloud containers provide a boundary for executing code such that the processing platform may limit types of code an external system can run at a cloud container. The external system code can provide new services or may build upon existing public services, and external systems may designate their services as being available to other external systems by publishing the access information in a global application programming interface (API) maintained by the processing platform. Since the external systems submit instructions for execution within their assigned cloud containers, the services and applications are developed without affecting the underlying functionality of the processing platform.

System and method of code execution at a virtual machine allowing for extendibility and monitoring of customized applications and services

Methods and system are described for optimizing data processing in cloud-based, machine learning environments. For example, through the use of a machine learning model utilizing a self organizing map and/or the use of specific processing nodes in a computer system to perform specific tasks the methods and system may more efficiently distribute tasks through a cloud computing environment and increase overall processing speeds despite increasing amounts of data. The methods and system described herein are particularly related to collateral allocation computer systems that automate the management of numerous collateral assets. For example, as the amount of collateral assets and the complexity of given transactions grow, typical allocation systems face frequent processing delays related to collateral allocations (e.g., allocations of collateral associated with Tri-Party Repos).

System and method for optimizing data processing in cloud-based, machine learning environments through the use of self organizing map

In certain embodiments, transaction-subset-assignment of computer processing nodes may be facilitated to perform collateral allocation. In some embodiments, a query may be performed to obtain a set of transactions. Computer processing nodes may be selected from a set of available nodes for performing collateral allocations. Collateral allocation rules associated with a lender may be obtained, and each of the computer processing nodes may be caused to perform collateral allocations for one subset of the transaction set in accordance with the collateral allocation rules by assigning transactions of the transaction set respectively to the computer processing nodes such that the computer processing nodes collectively perform collateral allocations for the transaction set. In some embodiments, each of the computer processing nodes may be configured to transmit parameter updates to be provided to the other computer processing nodes and perform its respective collateral allocation based on the other computer processing nodes' parameter updates.

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Casselberry, FL, United States of America

Madhusudan Rana