Yasuo N Amemiya

7707060, Apr 27, 2010

Aug 21, 2003

10/645128

Timothy J. Chainer - Putnam Valley NY, US
Yasuo Amemiya - Hartsdale NY, US
Steven W. Depp - Katonah NY, US

International Business Machines Corporation - Armonk NY

G06F 17/30
G07G 1/00

705 10, 709221, 360 31, 714 42, 714718, 700 79

Products include autonomic logic to self-monitor one or more parameters associated with the products to provide product usage information. Data relating to the product usage information generated by the products is automatically disseminated to interested entities. The interested entities may analyze the provided data and automatically forward information relating to the provided data back towards the products. The interested entities may also effect changes to products based on the data.

7953544, May 31, 2011

Jan 24, 2007

11/626592

Yasuo Amemiya - Hartsdale NY, US
Wanli Min - Mount Kisco NY, US
Laura Wynter - Chappaqua NY, US

International Business Machines Corporation - Armonk NY

G06F 19/00
G06G 7/70
G06G 7/76
G08G 1/00

701117, 701118, 701119, 342454, 34099513

A method and structure for predicting traffic on a network, includes a receiver which receives data related to traffic on at least a portion of a network. A calculator calculates a traffic prediction for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network.

20050044313, Feb 24, 2005

Aug 21, 2003

10/645129

Yasuo Amemiya - Hartsdale NY, US
Timothy Chainer - Putnam Valley NY, US
Steven Depp - Katonah NY, US

International Business Machines Corporation - Armonk NY

G06F012/00

711114000, 711170000

Storage media of a storage system are grouped into one or more groups based upon parameters associated with the storage media. Various parameters may be taken into consideration depending upon the criteria selected for the grouping. At least one grouping criterion is selected, and based on the grouping criterion, one or more parameters are measured. Then, using the measured data, a plurality of storage media are placed into one or more groups. The groups may then be used to form Redundant Array of Independent Disks (RAID) arrays employed in the storage system.

20080167942, Jul 10, 2008

Jan 7, 2007

11/620678

Yasuo Amemiya - Hartsdale NY, US
Jonathan R. M. Hosking - Scarsdale NY, US
Wanli Min - Mount Kisco NY, US
Laura Wynter - Chappaqua NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06Q 10/00
G06F 17/11

705 10, 705 7

An embodiment of the present invention proposes to describe an enterprise or company in terms of its structure and represent that structure in performing revenue forecasts for the enterprise or company. Mapping the company structure in a multi-dimensional matrix, for example, can represent that structure. The revenue forecasting method is novel in that forecasts for any level of the enterprise or company make use of data and previous forecasts for that and other elements of the structure. In this way, the method improves upon existing methods by leveraging information contained in some data on other data, and learning the relations between them.

20080243660, Oct 2, 2008

Mar 30, 2007

11/693999

Yasuo Amemiya - Hartsdale NY, US
Jonathan R. M. Hosking - Scarsdale NY, US
Wanli Min - Mount Kisco NY, US
Laura Wynter - Chappaqua NY, US

International Business Machines Corporation - Armonk NY

G06Q 40/00

705 35

A method (and system) for providing a forecast, the method including providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across all categories at the lowest level of the first dimension based upon an aggregation of the calculated forecasts for each category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, and storing the difference in a dummy category at the lowest level of the first dimension.

20090326884, Dec 31, 2009

Jun 26, 2008

12/146952

Yasuo Amemiya - Hartsdale NY, US
Hendrik F. Hamann - Yorktown Heights NY, US
Walter Hirt - Wettswil, CH
Ying Hung - Atlanta GA, US
Jing Shen - Athens GA, US

International Business Machines Corporation - Armonk NY

G06G 7/48
G06F 7/60

703 6

Techniques for monitoring and predicting environmental operating conditions in a data center are provided. In one aspect, a method for real-time, three-dimensional analysis of environmental operating conditions in a data center includes the following steps. High spatial resolution three-dimensional measurements of one or more environmental variables in the data center made at a time tare obtained. Real-time measurements of the environmental variables in the data center made at a time t, wherein tis later in time than t, are obtained. The high spatial resolution three-dimensional measurements are combined with the real-time measurements to derive a model for the environmental variables in the data center at the time t. The model is used to predict three-dimensional distributions of the environmental variables in the data center at the time t. A base model can be created and used to derive the model for the data center at the time t.