Abstract: A system for operating a legacy software application is presented. The system includes a distributed processing service. A wrapper software object is configured both to receive processing requests to a legacy software application from outside the distributed processing service and to send the processing requests using the distributed processing service. Additionally, an encapsulated software object includes the legacy software application and an exoskeleton connection service. The exoskeleton connection service is both configured to accept processing requests from the distributed processing service, and mapped to an application programming interface of the legacy software application.

Abstract: A system for operating a legacy software application is presented. The system includes a distributed processing service. A wrapper software object is configured both to receive processing requests to a legacy software application from outside the distributed processing service and to send the processing requests using the distributed processing service. Additionally, an encapsulated software object includes the legacy software application and an exoskeleton connection service. The exoskeleton connection service is both configured to accept processing requests from the distributed processing service, and mapped to an application programming interface of the legacy software application.

Abstract: A computer-implemented apparatus for a distributed processing network includes: a processing unit that is configured to perform a primary function; a metadata rules set that is configured to store information related to options for the performance of the primary function; a message receptor that is configured to receive a message from an external source; a message parser that is configured to parse a received message and to translate the received message to a binary form capable of being recognized by the processing unit; a message constructor that is configured to construct an outbound message based at least in part on performance of the primary function by the processing unit; a data structure that is configured to store state information and to permit a value of the state information to be set by the processing unit; and a message transmitter that is configured to transmit the outbound message.

Abstract: A system and integration infrastructure to provide a distributed matrix or neural network of connected real-time decision support modules designed to perform business intelligence evaluations in real time. The system and integration infrastructure provide a network of intelligence superimposed upon any company's existing IT data centers, and cloud computing connections. The system is highly customizable to the unique business model deployed by the client company within the best practices of the client company's industry. Whether or not the client company has integrated their diverse enterprise systems, the elements of the matrix are annealed to the various data sources, transaction logs and client software installations currently deployed. These matrix elements or neurons are designed to house critical operational data, determined by the operational model of the client company to be of critical importance.

Abstract: A system for operating a legacy software application is presented. The system includes a distributed processing service. A wrapper software object is configured both to receive processing requests to a legacy software application from outside the distributed processing service and to send the processing requests using the distributed processing service. Additionally, an encapsulated software object includes the legacy software application and an exoskeleton connection service. The exoskeleton connection service is both configured to accept processing requests from the distributed processing service, and mapped to an application programming interface of the legacy software application.

Abstract: A system and method 10 that provides legacy software applications 12 to be incorporated into a massively parallel and distribution processing model in the Cloud, with a high performance parallel and distributed computing (cloud) “wrapper” 14 around legacy and current systems to enable, without legacy product code change or invasive addition/editing, the legacy product to access and fully utilize the power and ability of distributed computing within the cloud through a Pneuron “cortex” platform virtual server 10. The system and method also provides the ability to distribute multiple, concurrent instances of the legacy applications, dynamically manage the load volumes, and automatically create and remove new virtual machines based upon demand requirements.

Abstract: A system and method 10 that provides legacy software applications 12 to be incorporated into a massively parallel and distribution processing model in the Cloud, with a high performance parallel and distributed computing (cloud) “wrapper” 14 around legacy and current systems to enable, without legacy product code change or invasive addition/editing, the legacy product to access and fully utilize the power and ability of distributed computing within the cloud through a Pneuron “cortex” platform virtual server 10. The system and method also provides the ability to distribute multiple, concurrent instances of the legacy applications, dynamically manage the load volumes, and automatically create and remove new virtual machines based upon demand requirements.

Abstract: A system and integration infrastructure to provide a distributed matrix or neural network of connected real-time decision support modules designed to perform business intelligence evaluations in real time. The system and integration infrastructure provide a network of intelligence superimposed upon any company's existing IT data centers, and cloud computing connections. The system is highly customizable to the unique business model deployed by the client company within the best practices of the client company's industry. Whether or not the client company has integrated their diverse enterprise systems, the elements of the matrix are annealed to the various data sources, transaction logs and client software installations currently deployed. These matrix elements or neurons are designed to house critical operational data, determined by the operational model of the client company to be of critical importance.