Advanced Micro Devices Corporation

Newvectors LLC

Techteam Government Solutions, Inc.

Atarum Institute

H Van Dyke Parunak

Larry D Barto

Yiwei Li

Steven C Nettles

Sven Brueckner

Allen C Ward

Gustavo Mata

John A Sauter

A method includes generating a plurality of bid requests for processing a workpiece. Each bid request is associated with one of a plurality of resources capable of processing the workpiece. For each of the bid requests, a commitment window including a kernel specifying a time period required for processing the workpiece is generated. A first committed capacity of the associated resource is determined based on a schedule of engagements compatible with the processing required for the workpiece. A second committed capacity of the associated resource is determined based on a schedule of engagements not compatible with the processing required for the workpiece. A first rate function specifying a processing cost for the associated resource as a function of the first and second committed capacities is provided. The first and second committed capacities and the first rate function are combined to generate a basic cost function associated with the associated resource. A plurality of candidate bids are generated based on the basic cost functions. One of the candidate bids is selected for scheduling the associated resource.

Method and apparatus for scheduling a resource

A swarming agent architecture provides a distributed, decentralized, agent-based computing environment applicable to ground-based surveillance. The approach, called Sensor Network Integration through Pheromone Fusion, or 'SNIPF,' provides an end-to-end demonstration that integrates self-contained sensor/communication nodes with novel swarming algorithms to detect foot and vehicular movement through a monitored area with minimal configuration and maintenance. A plurality of computational nodes distributed within the environment and, depending upon the way in which they are deployed, the various nodes are operative to sense the local environment, receive a message from a neighboring node, and transmit a message to a neighboring node. Given these capabilities, the nodes can collectively determine the presence and/or movement of a target and communicate this information to a user. Though not required, the system may include nodes that are capable of collectively determining the speed and heading of a target, and the gathered intelligence may be communicated to users within, and external to, the environment. A particularly useful configuration may include one or more 'free' nodes having relatively limited communications and computational power, and one or more anchor nodes equipped with GPS and/or long-distance communications capabilities.

Decentralized detection, localization, and tracking utilizing distributed sensors

Swarming agents in networks of preferably physically distributed processing nodes are used for data acquisition, data fusion, and control applications. An architecture for active surveillance systems is presented in which simple mobile agents collectively process real-time data from heterogeneous sources at or near the origin of the data. System requirements are specifically matched to the needs of a surveillance system for the early detection of large-scale bioterrorist attacks on a civilian population, but the same architecture is applicable to a wide range of other domains. The pattern detection and classification processes executed by the proposed system emerge from the coordinated activities of agents of two populations in a shared computational environment. Detector agents draw each other's attention to significant spatio-temporal patterns in the observed data stream. Classifier agents rank the detected patterns according to their respective criterion. The resulting system-level behavior is adaptive, robust, scalable, and applicable to a wide variety of other situations, including surveillance, financial transactions, network diagnosis, power grid monitoring, and others.

Swarming agents for distributed pattern detection and classification

A method for generating a cost function includes providing a resource for processing a workpiece. A plurality of cost function parameters is provided. A library of parameterized cost function components is acessed based on the plurality of cost function parameters to generate a cost function for processing the workpiece using the resource. A system includes a resource for processing a workpiece and at least one scheduling agent. The scheduling agent is configured to provide a plurality of cost function parameters and access a library of parameterized cost function components based on the plurality of cost function parameters to generate a cost function for processing the workpiece using the resource.

Method and apparatus for determining cost functions using parameterized components

A method includes providing a schedule of engagements for a resource. Each engagement has a working window and an associated engagement density function. The engagement density functions of the scheduled engagements are combined to generate a committed capacity function for the resource. A region of violation in the committed capacity function is identified where the committed capacity of the resource exceeds a capacity threshold. An area of a region of overlap between the working window of a selected one of the engagements and the region of violation is determined. An area reduction amount for the selected engagement is determined based on a portion of the area of the region of overlap. The working window of the selected engagement is changed based on the area reduction amount.

Method and apparatus for reducing scheduling conflicts for a resource

The invention is a technique by which a manufacturing process flow determines when to begin processing a batch of lots. The invention includes a method for determining whether to begin processing a batch in one aspect and a manufacturing process flow in a second aspect. The method comprises: ascertaining a respective time at which each of a plurality of additional lots will be received into the batch, the batch including a plurality of present lots; assessing a cost for a machine, each additional lot, and each present lot for each respective time at which each additional lot will be received should the machine begin processing the batch at the respective time; and determining the respective time at which the total cost borne by the machine, each additional lot, and each present lot will be at a minimum. The manufacturing process flow comprises a processing tool that processes batch-by-batch, a batch of present lots, a plurality of additional lots that may be included in the batch, and a software agent or a computing system. The software agent/computing system is capable of performing the method set forth above.

Determining batch start versus delay

A method for generating a cost function for processing a candidate workpiece using a resource includes identifying processing requirements for the candidate workpiece. A first committed capacity of the resource is determined based on a schedule of engagements associated with other workpieces having processing requirements compatible with the processing requirements of the candidate workpiece. A second committed capacity of the resource is determined based on a schedule of engagements associated with other workpieces having processing requirements not compatible with the processing requirements of the candidate workpiece. The cost function is generated based on the first and second committed capacities. A system includes a resource for processing a candidate workpiece and at least one scheduling agent. The scheduling agent is configured to identify processing requirements for the candidate workpiece, determine a first committed capacity of the resource based on a schedule of engagements associated with other workpieces having processing requirements compatible with the processing requirements of the candidate workpiece, determine a second committed capacity of the resource based on a schedule of engagements associated with other workpieces having processing requirements not compatible with the processing requirements of the candidate workpiece, and generate the cost function based on the first and second committed capacities.

Method and apparatus for generating a multi-dimensional cost function

A method for scheduling a resource for processing a workpiece includes defining a commitment window having a kernel specifying a time period required for processing the workpiece. A plurality of candidate bids having candidate commitment windows within the commitment window with varying start times, end times and candidate commitment window sizes is generated. A cost for each of the plurality of candidate bids is determined. A flexibility discount is applied to the cost of the candidate bid. Each candidate bid is evaluated in accordance with an objective function. A candidate bid is selected for scheduling the resource based on the objective function evaluation. A system includes a resource for processing a workpiece and at least one scheduling agent. The scheduling agent is configured to define a commitment window having a kernel specifying a time period required for processing the workpiece, generate a plurality of candidate bids having candidate commitment windows within the commitment window with varying start times, end times and candidate commitment window sizes, determine a cost for each of the plurality of candidate bids, apply a flexibility discount to the cost of the candidate bid, evaluate each candidate bid in accordance with an objective function, and select a candidate bid for scheduling the resource based on the objective function evaluation.

Method and apparatus for evaluating bids for scheduling a resource

A method for processing workpieces using a resource includes generating a plurality of engagements for processing the workpieces by the resource. Each engagement is associated with one of the workpieces and has associated processing requirements. A first one of the plurality of engagements is designated as a seed engagement. A set of candidate engagements from the plurality of engagements having associated processing requirements compatible with the processing requirements of the seed engagement is identified. A combined engagement is generated including the seed engagement and at least one of the candidate engagements.

Method and apparatus for scheduling workpieces with compatible processing requirements

An apparatus for determining assignments to attributes (e.g., electrical power or overall dimensional size) of components within a system. A computerized constraint network is constructed which uses constraint agents, variable agents, and task agents in order to make assignments to the attributes of the components based upon market-based constraint optimization techniques. The attributes have variables indicative of the assignments to the attributes. Constraint data structures assist the agents in determining permissible assignments for the variables. The constraint data structures use preferential rules for determining the assignments to the variables. The preferential rules indicate which assignments for the variables of the agents produce higher utility and lower cost.

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Ann Arbor, MI, United States of America

H Van Dyke Parunak