Xerox Corporation

Zerox Corporation

Bruce Carter Lyon

Naveen G Sharma

Robert J St Jacques, Jr

Shanmuga-Nathan Gnanasambandam

Hua Liu

Michael P Kehoe

Xin Xu

Shuyuan Chen

A system and method for scheduling and executing jobs in a decentralized multifunction device (MFD) network is provided. The method includes receiving at an origin node of the network of MFDs a job, where the job includes data and a request to perform an operation on the data. MFDs of the network are selected to execute the requested operation on at least a portion of the job data. Portions of the job data are apportioned to the selected MFDs for processing thereof by executing the requested operation. The selecting and the apportioning are performed using historical information related to previous performance and reliability of the MFDs of the network.

System and method for decentralized job scheduling and distributed execution in a network of multifunction devices

Communication systems and methods transfer information between a client device and a vendor device through a firewall between the client device and the vendor device by using a communications protocol that will normally allows pass through the firewall and/or by e embedding the information in a file format that will normally pass through the firewall. The information can be transmitted using the hypertext transfer protocol, and/or is embedded in an HTTP document or in an e-mail message. If the client device is on a secure side of the firewall and the vendor device needs to initiate communication with the client device, the vendor device can send an e-mail message to the client device asking the client device to initiate the communication session. Because the client device has initiated the communication, the firewall should allow the response to the client device's request to pass through from the vendor device to the client device.

Generic application architecture suitable for firewall traversal

A genetic algorithm-based system for selecting a solution. Means are provided for evaluating solutions according to a preselected evaluation function. A first computer generates a first population of solutions, the first population of solutions being of a first representation scheme. A second computer generates a second population of solutions, the second population of solutions being of a second representation scheme. A translator translates solutions of the second representation scheme into equivalent solutions of the first representation scheme. Means are provided for introducing solutions from the second population into the first population of solutions.

System for integrating multiple genetic algorithm applications

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Victor, NY, United States of America

Bruce Carter Lyon