| Patent application number | Description | Published |
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| 20080256149 | SYSTEM AND METHOD FOR DEPENDENT FAILURE-AWARE ALLOCATION OF DISTRIBUTED DATA-PROCESSING SYSTEMS - A system and method for allocating distributed processing systems includes inputting component descriptions in a distributed processing system and determining importance of each component. Capacity and failure characteristics of resource groups representing units of available processing capacity are also input. Components are assigned to a plurality of resource groups based on the capacity. Each resource group includes components where the failure characteristics permit simultaneous failures, such that in the event of such failures, an output value of the application is maximized. | 10-16-2008 |
| 20090187673 | CONTENT COMPRESSION IN NETWORKS - Described is transparently compressing content for network transmission, including end-to-end compression. An end host or middlebox device sender sends compressed packets to an end host or middlebox device receiver, which decompresses the packets to recover the original packet. The sender constructs compressed packets including references to information maintained at the receiver, which the receiver uses to access the information to recreate actual original packet content. The receiver may include a dictionary corresponding to the sender, e.g., synchronized with the sender's dictionary. Alternatively, in speculative compression, the sender does not maintain a dictionary, and instead sends a fingerprint (hash value) by which the receiver looks up corresponding content in its dictionary; if not found, the receiver requests actual content. Scheduling to maintain fairness and smoothing bursts to coexist with TCP congestion control are also described, as are techniques for routing compressed data over networked end hosts and/or compression-enabled middlebox devices. | 07-23-2009 |
| 20090313282 | AUTOMATIC REQUEST CATEGORIZATION FOR INTERNET APPLICATIONS - Application service requests received by an application hosting framework are automatically differentiated and categorized, and resource usage patterns associated with the requests are predicted. Resource usage data points are successively extracted from the hosting framework. Elements of an initial resource usage pattern matrix are computed from the data points. An estimate for the number of categories of requests is computed from the initial resource usage pattern matrix, where the requests in each category have similar resource usage patterns. Elements of a resource usage signature matrix and request categorization matrix are computed from the estimate for the number of categories of requests and the initial resource usage pattern matrix. | 12-17-2009 |
| 20090323516 | DIAGNOSING NETWORK PROBLEMS - The method collects configuration data about the network, compares it to known good configurations to see if a corrective configuration is available. In addition, the method will review known bad configurations and determine if any of the successful corrective configurations for the bad configuration would be appropriate for the bad configuration under consideration. | 12-31-2009 |
| 20110107418 | DETECTING ANOMALIES IN ACCESS CONTROL LISTS - An access control anomaly detection system and method to detect potential anomalies in access control permissions and report those potential anomalies in real time to an administrator for possible action. Embodiments of the system and method input access control lists and semantic groups (or any dataset having binary matrices) to perform automated anomaly detection. This input is processed in three broad phases. First, policy statements are extracted from the access control lists. Next, object-level anomaly detection is performed using thresholds by categorizing outliers in the policies discovered in the first phase as potential anomalies. This object-level anomaly detection can yield object-level security anomalies and object-level accessibility anomalies. Group-level anomaly detection is performed in the third phase by using semantic groups and user sets extracted in first phase to find maximal overlaps using group mapping. This group-level anomaly detection can yield group-level security anomalies and group-level accessibility anomalies. | 05-05-2011 |
| Patent application number | Description | Published |
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| 20080208893 | SYSTEM AND METHOD FOR ADAPTIVE CONTENT PROCESSING AND CLASSIFICATION IN A HIGH-AVAILABILITY ENVIRONMENT - The embodiments of the invention provide a systems, methods, etc. for adaptive content processing and classification in a high-availability environment. More specifically, a system is provided having a plurality of processing engines and at least one server that classifies data objects on the computer system. The classification includes analyzing the data objects for the presence of a type of content. This can include assigning a score corresponding to the amount of the type of content in each of the data objects. Moreover, the server can remove a data object from the computer system based on the results of the analyzing. The results of the analyzing are stored and the computer system is updated with feedback information. This can include allowing a user to review the results of the analyzing and aggregating reviews of the user into the feedback information. | 08-28-2008 |
| 20080222723 | MONITORING AND CONTROLLING APPLICATIONS EXECUTING IN A COMPUTING NODE - A method and system for monitoring and controlling applications executing on computing nodes of a computing system. A status request process, one or more control processes, an untrusted application and one other application are executed on a computing node. The status request process receives and processes requests for the statuses of the untrusted and the other application. A first control process controls the execution of the untrusted application. A second control process controls the execution of the other application. The execution of the untrusted application terminates based on a failure of the untrusted application. A capability of the status request process to receive and process the requests for statuses, and a capability of the second control process to control the execution of the other application are preserved in response to the termination of the untrusted application. | 09-11-2008 |
| 20090248614 | SYSTEM AND METHOD FOR CONSTRUCTING TARGETED RANKING FROM MULTIPLE INFORMATION SOURCES - Embodiments of the invention provide a system and method for determining preferences from information mashups and, in particular, a system and method for constructing a ranked list from multiple sources. In an exemplary embodiment, the system and method tunably combines multiple ranked lists by computing a score for each item within the list, wherein the score is a function of the associated rank of the item within the list. In one exemplary embodiment, the function is equal to 1/(n̂(1/p)), where p is a tuning parameter that enables selection between responsiveness in the combined ranking to one candidate ranked highly in one source versus responsiveness in the combined ranking to a candidate with lower but broader support among the various sources ranking the candidates. | 10-01-2009 |
| 20090248690 | SYSTEM AND METHOD FOR DETERMINING PREFERENCES FROM INFORMATION MASHUPS - A system and method for determining preferences from information mashups and, in particular, for determining preferences from cross-modality information based on a social welfare function is disclosed. An exemplary embodiment of the invention uses a social welfare function (SWF) to identify a vote computing method from among a group of vote computing methods. The SWF embodies subjective values, e.g. business objectives. The embodiment uses the SWF to identify the vote computing method that combines cross-modality information into a single information mashup in a manner that is most congruent with the subjective values relative to the other vote computing methods. The information mashup may be in the form of a single, merged ranked list. | 10-01-2009 |
| 20100114895 | System and Method for Administering Data Ingesters Using Taxonomy Based Filtering Rules - A method, system, and article are provided for management of a data ingester and associated content collected by the data ingester. The computer system is configured with a taxonomy together with rules and policies for ingesting and classifying the collected data. Based upon the classification of the collected data with respect to the taxonomy, the data is assigned to a location in the taxonomy. | 05-06-2010 |
| 20100223226 | SYSTEM FOR MONITORING GLOBAL ONLINE OPINIONS VIA SEMANTIC EXTRACTION - A system for transforming domain specific unstructured data into structured data including an intake platform controlled by feed back from a control platform. The intake platform includes an intake acquisition module for acquiring data building baseline data related to a domain and problem of interest, an intake pre-processing module, an intake language module, an intake application descriptors module, and an intake adjudication module. The control platform includes a control data acquisition module, a control data consistency collator, a control auditor, a control event definition and policy repository, an error resolver, and an output that outputs results of the workflow into structured data enabled to be used in data analytics. | 09-02-2010 |
| 20100223292 | HOLISTIC DISAMBIGUATION FOR ENTITY NAME SPOTTING - A method resolves ambiguous spotted entity names in a data corpus by determining an activation level value for each of a plurality of nodes corresponding to a single ambiguous entity name. The activation levels for each of the nodes may be modified by inputting outside domain knowledge corresponding to the nodes to increase the activation value of the nodes, spotting entity names corresponding to the nodes to increase the activation value of the nodes, searching the data corpus to spot newly posted entity names to increase the activation value of the nodes, and searching the data corpus to reduce or deactivate the activation value of the nodes by eliminating false positives. The ambiguous entity name is assigned to the node determined to have the highest activation level and is then outputted to a user. | 09-02-2010 |
| 20110191114 | PERSONALIZED ELECTRONIC HEALTHCARE MANAGEMENT - A personalized electronic healthcare management system and computer-implemented method thereof. The system includes a user interface configured to receive user profile information associated with a user as input by the user, and a server interfacing with the user interface. The server retrieves healthcare information from at least one external source, and provides the retrieved healthcare information to the user at the user interface. The healthcare information may be personalized to the user's needs. The server further retrieves social service program information from at least one host site, provides the retrieved social service program information to the user, and applies to at least one social service program of the at least one host site using the user profile information, when desired by the user, and retrieves interactive information to be presented to the user at the user interface. | 08-04-2011 |
| 20110219455 | RANDOM INJECTION-BASED DEACTIVATION OF WEB-SCRAPERS - A computer-implemented method and system for disabling scraping of electronic data. The method includes receiving an encoding of electronic data to be protected from scraping and adding random redundant code around the encoding of the electronic data upon each request for the electronic data. The electronic data having the redundant code added around the encoding thereof being rendered the same on a display as the encoding without the redundant code added. | 09-08-2011 |
