Hewlett-packard Development Company, L.p.

Entit Software LLC

Alex Xin Zhang

Dirk Manfred Beyer

Fereydoon Safai

Umeshwar Dayal

Ming C Hao

Christopher H Stewart

Kemal Guler

Hsiu-Khuern Tang

Terence Patrick Kelly

Cipriano A Santos

Jerome Alexander Rolia

Yunhong Zhou

Tongwei Liu

Marie-Jo Fremont

Bruno Abrahao

Ratnesh Kumar Sharma

Hui Chao

Alan Hersh Karp

Arif Abdulhusein Merchant

Keith Farkas

Anshul Kothari

Sharad Singhal

Martin Arlitt

Robert E Tarjan

Ram Swaminathan

Pere Obrador

Kimberly Keeton

Xiaoyun Zhu

Zhikui Wang

Xue Liu

Xiaofan Lin

Jerry Zhaolin Shan

C Brian Atkins

Ren Wu

Kay-Yut Chen

Troy Alexander Shahoumian

Julie Ann Ward

Pankaj K Garg

Parag Mulendra Joshi

Shailendra K Jain

Hsiu-Khuem Tang

Leslie R Fine

Gary Vondran

Ernesto Brau

Menaka Indrani

Richard Stormo

Non-overlapping visualization of data records of a scatter plot is provided by providing rows and columns in a visualization screen containing cells representing respective data records. The rows correspond to value ranges of a first attribute, and the columns correspond to value ranges of a second attribute. The value ranges are automatically generated for the rows and columns from data values of the data records.

Non-overlapping visualization of data records of a scatter plot

A technique includes monitoring a first cumulative number of transactions arriving into a processing station and monitoring the second cumulative number of transactions completed by the station. The technique includes based on the first and second cumulative numbers, determining at least one of a transaction waiting time of the station and a predicted reduction in the transaction waiting time due to processor expansion.

Application performance analysis for a multiple processor queuing station

To construct at least one cluster of data records of a scatter plot, cells representing the data records are placed in a visualization screen according to values of a first attribute and a second attribute of the data records. Visual indicators are assigned to the cells according to values of a third attribute of the data records. In response to detecting data records having a particular pair of first attribute and second attribute values, cells representing the data records having the particular pair of first attribute and second attribute values are placed in nearby positions according to similarity of values of the third attribute to form the at least one cluster of cells having similar visual indicators.

Constructing a cell-based cluster of data records of a scatter plot

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

Embodiments of the present invention pertain to dynamically resizing a virtual machine container. According to one embodiment, an optimal utilization is determined based on a desired performance for a multi-tiered application and transaction mix information that describes a mix of transactions that result from executing the multi-tiered application. Automatic modification of an amount of a physical resource a virtual machine container is entitled to for executing a particular application component associated with the multi-tiered application is enabled where the amount is automatically modified based on the optimal utilization.

Dynamically resizing a virtual machine container

Example methods, apparatus and articles of manufacture to characterize applications are disclosed. A disclosed example method includes collecting resource utilization trace data from the two or more applications simultaneously running on one or more computational devices, determining an intrinsic dimensionality of the collected trace data, the intrinsic dimensionality representing a number of predominate features that substantially characterize the trace data, and characterizing each application's workload based on the determined intrinsic dimensionality.

Methods, apparatus and articles of manufacture to characterize applications

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

The present invention provides a novel simulation based method for analyzing new auction formats and rules, from limited and partially observable bidder characteristics. A simulation platform under this method is general enough to be easily modified to a specific design of auctions. This method will utilize the known results, if any, on some aspects of the auction rules under consideration, and simultaneously recover an extended set of bidder characteristics from limited and partially observed, existing bidder data, and will predict bidder behavior under the new auction rules. Advantageously, this method applies known results on some aspects of an auction format to the new learning of this format.

Method for auction based simulation to extract demand curve

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 initial external bid of an enterprise that is based on initial component bids of plural entities is received by a tool. The tool receives margin values representing margins acceptable to the entities. A new external bid is received that is different from the initial bid, and adjusted component bids of the plural entities are generated by the tool according to the new external bid and the margins of the entities.

Generating adjusted bids of entities according to a new external bid

User input regarding a target system on which a software application is to be deployed is received. A benchmark system from plural candidate benchmark systems is matched to the target system. An estimated performance of the software application on the target system or an estimated utilization of resources of the target system by the software application is computed based on information relating to the matched benchmark system.

Computing estimated performance of a software application in a target system

A computer-implemented automated decision support system for designing an auction for a given item includes a structure extractor that estimates unknown elements of market structure of the auction based on auction characteristics data extracted from historical auctions for similar items and a bidding model matching the extracted auction characteristics data. The decision support system also includes a bidding behavior predictor that predicts bidding behaviors of bidders in the auction based on the estimated unknown elements of market structure and characteristics of the auction. In addition, the system includes an optimizer that employs an evaluation criterion to generate an evaluation of the auction based on (1) the estimated unknown elements of market structure and (2) the predicted bidding behavior of bidders. A method of providing an automated auction analysis is also described.

Automated decision support system for designing auctions

A method for determining performance of an application in a system is described herein. The method includes receiving performance data of the application, the performance data includes a plurality of types of transactions performed by the application, a counted number of transactions for each of the plurality of transaction types as performed by the application, and a total service time by the system of the counted number of transactions of each of the plurality of transaction types; calibrating a performance model of the application in accordance with the received performance data; and calculating an expected performance of the application by the system based on the performance model calibration and the received performance data.

Determining performance of an application based on transactions

A method for computational analysis includes collecting an application dataset and extracting one or more features from the application dataset in order to generate a utilization workload model. The features correspond to an intrinsic dimensionality of the dataset. An apparatus and a computer-usable medium storing instructions executable by a processor for providing the computational analysis is also described.

Method and apparatus for computational analysis

A method for extracting an implied value of a component associated with a plurality of product packages is disclosed. One embodiment of the method includes receiving data associated with a plurality of product packages. It is noted that the data comprises product package price data associated with the plurality of product packages. The data is processed utilizing a mathematical optimization to produce first output data. The first output data is processed with a statistical regression to produce second output data. The second output data includes an estimated value and its standard error of a component associated with the plurality of product packages.

Extracting an implied value of a component associated with a plurality of product packages

Growing community of inventors

San Jose, CA, United States of America

Alex Xin Zhang