Patent application number | Description | Published |
20080244318 | METHOD AND SYSTEM FOR PROACTIVE DRIVE REPLACEMENT FOR HIGH AVAILABILITY STORAGE SYSTEMS - Methods for preventing the failure of disk drives in storage systems are disclosed. A system and a computer program product for preventing the failure are also disclosed. Factors relating to the aging or early onset of errors in a disk drive are monitored. These factors are then compared to thresholds. In case the thresholds are exceeded, an indication for the replacement of the disk drive is given. Sudden rises in the factors are also used to indicate the impeding failure of disk drives. | 10-02-2008 |
20080263029 | ADAPTIVE ARCHIVE DATA MANAGEMENT - In one embodiment, input is received from a user defining a classification and an analytic for the classification. Multiple classifications and analytics may be defined by a user. A definition of relevance parameters is determined that characterize the classification and a set of analytics measures associated with the analytic. The definition may be for the classification. Unstructured data and structured data are analyzed based on the definition of the relevance parameters to determine relevant data in the unstructured data and the structured data. The relevant data being data that is determined to be relevant to the classification defined by the user. An index of the terms from the relevant data is determined. The index is useable by an analytics tool to provide results for queries of the unstructured data and structured data. The query may be used within the classification such that targeted results are provided using the index and the relevant data to the classification. Thus, queries from different classifications may be performed efficiently using data determined to be relevant to the classification. | 10-23-2008 |
20090164416 | ADAPTIVE DATA CLASSIFICATION FOR DATA MINING - A method and system for adaptive classification during information retrieval from unstructured data are provided. The method includes receiving input from a user defining a classification. A sample set of unstructured data based on the user defined classification defined is determined. The sample set of unstructured data is analyzed to determine a classification mapping that maps attributes of the sample set of unstructured data to class labels for the classification. The attributes of a set of data objects in a second set of unstructured data are indexed and one or more data objects in the set of data objects are mapped to the class label based on the classification mapping. Feedback based on the user's response to an interaction with results is determined using the class label. Finally, adaptive classification mapping is performed based on analysis of feedback by adjusting the sample set of data objects. | 06-25-2009 |
20100114899 | Method and system for business intelligence analytics on unstructured data - Various embodiments of the present invention disclose a method for Business Intelligence (BI) metrics on unstructured data. Unstructured data is collected from numerous data sources that include unstructured data as ingested data. The ingested data is indexed and represents hyperlink and extracted data and metadata for each document. Thereafter, the ingested data is automatically classified into one or more relevance classes. Further, numerous analytics are performed on the classified data to generate business intelligence metrics that may be presented on an access device operated by a user. | 05-06-2010 |
20110016342 | TECHNIQUES FOR POWER ANALYSIS - Techniques for power analysis for data centers are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for power analysis for a plurality of computing platform components comprising receiving information associated with a component, retrieving, using a computer processor, electronically stored data associated with the component, estimating power usage of the component based at least in part on the stored data, and outputting an indicator of power usage. | 01-20-2011 |
20110231372 | Adaptive Archive Data Management - In one embodiment, input is received from a user defining a classification and an analytic for the classification. Multiple classifications and analytics may be defined by a user. A definition of relevance parameters is determined that characterize the classification and a set of analytics measures associated with the analytic. The definition may be for the classification. Unstructured data and structured data are analyzed based on the definition of the relevance parameters to determine relevant data in the unstructured data and the structured data. The relevant data being data that is determined to be relevant to the classification defined by the user. An index of the terms from the relevant data is determined. The index is useable by an analytics tool to provide results for queries of the unstructured data and structured data. The query may be used within the classification such that targeted results are provided using the index and the relevant data to the classification. Thus, queries from different classifications may be performed efficiently using data determined to be relevant to the classification. | 09-22-2011 |
20120245925 | METHODS AND DEVICES FOR ANALYZING TEXT - A method, operating model, system, method, computer program, application, online service, or application program interface (API) Application Program Interface (API), and computer program product for analyzing any email message or text, online post, online web pages, social media sites, and online news sites to detect predefined and actionable events and intent. A method for detecting important emails or messages, and actionable emails or messages that signify intent including questions or promises. A method for detecting past or possible future events in any online posts where the event is defined a priori. | 09-27-2012 |
20140130055 | SYSTEMS AND METHODS FOR PROVISIONING OF STORAGE FOR VIRTUALIZED APPLICATIONS - Methods and systems described herein implement an SLA-based dynamic provisioning of storage for virtualized applications or virtual machines (VMs) on shared storage. The shared storage can be located behind a storage area network (SAN) or on a virtual distributed storage system that aggregates storage across direct attached storage in the server or host, or behind the SAN or a WAN. | 05-08-2014 |