Hewlett-packard Development Company, L.p.

Demandtec, Inc.

M-factor, Inc.

Dirk Manfred Beyer

Cipriano A Santos

Alex Xin Zhang

Fereydoon Safai

Phillip Dennis Delurgio

Arif Abdulhusein Merchant

John Wilkes

Sharad Singhal

Kimberly Keeton

Xiaoyun Zhu

Terence Patrick Kelly

Chad Whipkey

Michael Alexander Shwe

James Drew

Steven John Peter Hillion

Nathaniel Keith Folkert

Evan Randy Kirshenbaum

Henri Jacques Suermondt

Jerome Alexander Rolia

Jerry Zhaolin Shan

Janet Lynn Wiener

Julie Ward Drew

Jeffrey Scott Chase

Yunhong Zhou

Troy Alexander Shahoumian

Tongwei Liu

Shailendra K Jain

Marie-Jo Fremont

Ernesto Brau

Hui Chao

Keith Farkas

Martin Arlitt

Ira Cohen

William Kevin Wilkinson

Pere Obrador

Eric T Anderson

Xiaofan Lin

Kemal Guler

Hsiu-Khuern Tang

C Brian Atkins

Akhil Sahai

Vineet Singh

Julie Ann Ward

Parag Mulendra Joshi

Hsiu-Khuem Tang

Qi Feng

Michael Justin O'Sullivan

Gary Vondran

Brian Frederick Babcock

Menaka Indrani

Bilal Iqbal

Chao Chen

Richard Stormo

Ciprianos Santos

Farid AitSalia

Andrei Fuciec

Joachim Resch

A tool receives parameters relating to target enterprise objective of an enterprise, the cost of an enterprise resource associated with the enterprise, and an enterprise resource capacity. The tool calculates an amount of an enterprise resource to be assigned in an enterprise based on the received parameters relating to the target enterprise objective, the enterprise resource cost, and the enterprise resource capacity.

Calculating an amount of enterprise resource to be assigned based on received parameters

A method and system for selection of a task in proportion to a desired distribution. Specifically, in one embodiment, the present invention discloses a method and system for selecting a task associated with a visiting customer to a web site over a communication network. The customer is assigned to a segment of a target customer base that most closely resembles the customer's characteristics. A plurality of tasks is associated with the segment and can be expressed as a distribution of tasks performed. A current distribution of tasks is determined. The task which provides a new distribution that is closest to a desired distribution of the plurality of tasks is selected to be performed. In one embodiment, the task to be performed is the offering of an advertising promotion to the customer over the communication network.

Method and system for deterministic sampling with a specific distribution

A method and system of workforce related resource planning is disclosed. The method includes receiving workforce related resource data wherein the workforce related resource data includes demand data and supply data, disaggregating the demand data and the supply data and creating a probability distribution of a workforce gap between the demand data and supply data to quantify risk associated with workforce related resource planning.

Method and system for workforce related resource planning

A method for server consolidation is provided. The method includes collecting performance data of a plurality of source servers in a desired environment, selecting a group of one or more source servers from the plurality of source servers for consolidation, marking each source server in the with one of multiple usability statuses with one of such statuses indicates the marked source server is to be replaced or reused as necessary in the server consolidation, selecting a target platform for a new server, and performing a first server consolidation analysis of the first group based at least on the collected performance data, the initial usability status of each source server in the first group, and the first selected target platform.

Server consolidation

A method of managing product end of life over an end of life horizon includes the step of selecting an objective of either maximizing gross profit or minimizing writeoff costs for a selected plurality of products being discontinued. The products may have parts in common. A subset of all possible combinations of product demand levels is selected. Each combination is associated with a probability. A procurement plan that optimizes the selected objective is generated based on the selected subset of demand levels given a non-zero pre-existing inventory of at least some parts of the selected products.

Method and apparatus for managing product end of life

An embodiment of a method of scheduling computer processing begins with a first step of receiving job properties for a plurality of jobs to be processed in a multi-processor computing environment. At least some of the jobs each comprise a plurality of stages, one or more tasks for each stage, and precedence constraints among the stages. The method continues with a second step of determining a schedule for processing at least a subset of the plurality of jobs on processors within the multi-processor computing environment from a solution of a mathematical program that provides a near maximal completion reward. The schedule comprises a sequence of tasks for each processor. In a third step, the computer processing jobs are processed on the processors according to the sequence of tasks for each processor.

Scheduling computer processing jobs that have stages and precedence constraints among the stages

Methods and apparatuses for computing a variance between two business metrics is described. In one embodiment, the method computes a variance for each of a first set of activities based on the corresponding reference state of that activity, wherein the variance for an activity is the change in contribution for that activity between the first and second business metrics and with each of the first set of activities having a reference value. Furthermore, the method computes a variance for each of a second set of activities based on the corresponding start and end values of that activity with each of the second set of activities having a start and end value.

Method and apparatus for creating compound due-to reports

A method for server consolidation is provided. The method includes accessing performance data of a plurality of source servers, receiving multiple consolidation parameters for a desired target server, receiving selected configurations for a new target server, computing a minimum number of target servers required to consolidate the plurality of source servers based at least on the performance data, the selected configurations for the desired target server, and the multiple consolidation parameters, and deriving a bin-packing solution to the server consolidation based at least on the performance data, the selected configurations for the new target server, and the minimum number for the one or more performance metrics.

Performance-data based server consolidation

Methods and apparatuses for computing a variance for the difference between two business metrics. In one embodiment, the method accesses a response model and a plurality of activities with start and end values for each of the plurality of activities. Furthermore, the method computes a variance for the difference between the first and second business metrics for each of the plurality of activities using the response model by setting that activity to one of the corresponding starting and ending values and setting others of the plurality of activities to the value state opposite of that activity, wherein the variance for an activity is the change in contribution for that activity between the start and end sales volumes.

Method and apparatus for creating due-to reports for activities that may not have reference value

Methods and apparatuses for decomposing a business metric based on a plurality of activities and a response model are described. In one embodiment, the method accesses the response model and the plurality of activities, the plurality of activities each having a reference and executed value. The method computes a contribution to the business metric based on setting one of the plurality of activities to one of the corresponding reference and executed value and setting the other activities to the value state opposite of that activity. Furthermore, the method computes each of the contributions independent of the response model type.

Method and apparatus for configurable model-independent decomposition of a business metric

Systems and methods for detecting an interesting event in a data stream. More specifically, a monitoring system is configured to monitor a data stream and establish a sensitivity parameter based on sequences generated from values in a first portion of the data stream. A detector may be trained using the sensitivity parameter to detect the occurrence of an interesting event in the data stream.

Techniques for monitoring a data stream

Methods, machines, systems and machine-readable instructions for producing marketing items are described. In one aspect, a user is prompted to specify campaign parameters, including one or more campaign topics, defining a scope of the campaign. The user is prompted to specify for each of the one or more campaign topics a corresponding set of one or more attributes of intended recipients of the marketing campaign. The one or more specified campaign topics are associated to respective sets of targeted recipients selected from a database of records of potential recipients based on mappings of the respective sets of recipient attributes to the campaign topics and the specified campaign parameters defining the scope of the marketing campaign. For each of the targeted recipients, a respective marketing item containing a respective set of one or more contents matched to the campaign topic associated to the targeted recipient is composed.

Producing marketing items for a marketing campaign

An embodiment of a method of dispatching tasks in a multi-processor computing environment begins with a step of a dispatcher within the multi-processor computing environment receiving job properties for a plurality of jobs to be processed in the multi-processor computing environment. Each job comprises at least one task. In a second step, the dispatcher employs an initial dispatching rule to assign an initial subset of tasks to processors within the multi-processor computing environment. The method continues with a third step of the dispatcher monitoring system status of the multi-processor computing environment. In a fourth step, the dispatcher selects a second dispatching rule from a plurality of dispatching rules in response to a change in the system status. In a fifth step, the dispatcher employs the second dispatching rule to assign a second subset of tasks to the processors.

Method of dispatching tasks in multi-processor computing environment with dispatching rules and monitoring of system status

In at least some embodiments, a method comprises computing an initial schedule of jobs to be run on a computing system using a mathematical program and monitoring the computing system. The method also comprises, based on the monitoring, determining, using the mathematical program used to compute the initial schedule, whether the initial schedule should be re-computed.

Job scheduling system and method

Embodiments of the present invention relate to a system and method for allocating resources to applications. One embodiment of the present invention may include identifying a plurality of applications and a plurality of application components, and determining available resources of a networked computing system for potentially storing the applications and application components. Additionally, the embodiment may include determining required resources for each application component, assigning a subset of available resources for each application component based on the required resources of the application component and the available resources. The embodiment may also include associating the application components with the subsets of available resources and storing more than one application component of the plurality of application components on a single available resource.

System and method for assigning an application component to a computing resource

Growing community of inventors

Walnut Creek, CA, United States of America

Dirk Manfred Beyer