| Patent application number | Description | Published |
|---|
| 20080240158 | METHOD AND APPARATUS FOR SCALABLE STORAGE FOR DATA STREAM PROCESSING SYSTEMS - In one embodiment, the invention is a method and apparatus for scalable storage for data stream processing systems. One embodiment of a system for processing a data stream, includes a first set of processing elements configured for processing of at least the lightweight portion of an information unit and a second set of processing units configured for storage of the heavyweight portion of the information unit. | 10-02-2008 |
| 20090048776 | Stream Processing Based Intelligent Transport Systems - A stream processing system for processing a routing request specifying a first location and a destination location in a network of interconnected locations includes a plurality of data processing elements, a memory connected to the plurality of data processing elements for storing a plurality of maps having different scopes, wherein each of the data processing elements is associated with one of the plurality of maps and determines a section of a path from the first location to the destination location in the network of interconnected locations, and a routing selection element for merging the sections of the path as a solution to the routing request. | 02-19-2009 |
| 20090100407 | METHOD AND SYSTEM FOR SIMPLIFIED ASSEMBLY OF INFORMATION PROCESSING APPLICATIONS - A method for automatic composition of an information processing flow based on a user-specified processing goal, includes: selecting tags from a first plurality of tags, wherein the selected tags specify a processing goal; composing a processing graph in accordance with the processing goal; and displaying a second plurality of tags, wherein the second plurality of tags includes tags that are only relevant to the selected tags. | 04-16-2009 |
| 20090177957 | METHOD AND SYSTEM FOR SIMPLIFIED SERVICE COMPOSITION - A method for service composition, including: receiving a tag query; composing a processing graph in accordance with the tag query, wherein the processing graph is composed by using annotated primal data and services and includes at least one of the services; and deploying the service in an execution environment. | 07-09-2009 |
| 20090271874 | METHOD AND SYSTEM FOR SECURE LIGHTWEIGHT STREAM PROCESSING - A system and method for processing an information unit/packet (IU) in a stream processing system includes decomposing an IU into sub-information units persisted other than in the IU. An index or reference is generated in the IU for retrieving the persisted sub-information units during processing. | 10-29-2009 |
| 20090276753 | METHOD AND APPARATUS FOR SIMPLIFIED ASSEMBLY OF PARAMETRIC INFORMATION PROCESSING APPLICATIONS - A method for assembling parametric information processing applications, includes: receiving a composition request; composing a processing graph for the request, wherein the processing graph represents an application that includes at least one component; identifying a deployment parameter of the component and requesting a value of the parameter; receiving the parameter value; applying the parameter value to the application; and deploying the application with the parameter value in an execution environment. | 11-05-2009 |
| 20090287674 | Method for Enhancing Search and Browsing in Collaborative Tagging Systems Through Learned Tag Hierachies - A number of Web 2.0 sites support collaborative tagging systems, which allow users to tag resources with keywords. The tags enable search and retrieval of resources both for the user and for other users, using interfaces like a conventional search form or a tag cloud. A tag hierarchy-based search and retrieval system is provided that enhances the existing interfaces by improving search recall and allowing the discovery of even poorly annotated resources. The system uses tag co-occurrence information to automatically learn tag hierarchies. The learned hierarchies are used for automatically inferring additional tags to resources. These inferences are used to improve the recall of queries issued from a search form or via a tag cloud. The learned hierarchies can be viewed as an emergent ontology that is built up through the collaborative wisdom of a large number of users. | 11-19-2009 |
| 20100095267 | DESCRIBING FORMAL END-USER REQUIREMENTS IN INFORMATION PROCESSING SYSTEMS USING A FACETED, TAG-BASED MODEL - A method, including: providing a computer menu from which a processing goal can be created, wherein the menu includes a plurality of facets, and wherein each facet includes at least one tag; receiving a processing goal, wherein the processing goal includes a plurality of tags selected from the menu; executing at least one application that includes a plurality of components arranged in a processing graph to produce information that satisfies the processing goal; and outputting the information. | 04-15-2010 |
| 20100095269 | FACETED, TAG-BASED APPROACH FOR THE DESIGN AND COMPOSITION OF COMPONENTS AND APPLICATIONS IN COMPONENT-BASED SYSTEMS - A method, including: receiving a software requirement; and constructing a workflow template that can satisfy the software requirement, wherein the workflow template comprises a plurality of processing stages, wherein each processing stage includes at least one component class and each component class includes at least one component, and wherein an output of each processing stage is described by a processing goal pattern that is described by a set of tags and facets. | 04-15-2010 |
| 20110106922 | OPTIMIZED EFFICIENT LPAR CAPACITY CONSOLIDATION - A method and system for optimizing a configuration of a set of LPARs and a set of servers that host the LPARs. Configuration data and optimization characteristics are received. By applying the configuration data and optimization characteristics, a best fit of the LPARs into the servers is determined, thereby determining an optimized configuration. The best fit is based on a variant of bin packing or multidimensional bin packing methodology. The optimized configuration is stored. In one embodiment, comparisons of shadow costs are utilized to determine an optimal placement of the LPARs in the servers. LPAR(s) in the set of LPARs are migrated to other server(s) in the set of servers, which results in the LPARs and servers being configured in the optimized configuration. | 05-05-2011 |
