Oracle International Corporation

Fujitsu Corporation

Adel Ghoneimy

Eric S Chan

Dieter Gawlick

Zhen Hua Liu

Rafiul Ahad

Adriano Covello Santos

Kenny C Gross

Terry Michael Olkin

Sandeep Tiwari

Jerry D Wein

Andrew Jun

Ruby S Simhadri

Ali Zinatbaksh

Embodiments of the invention provide systems and methods for managing and processing large amounts of complex and high-velocity data by capturing and extracting high-value data from low value data using big data and related technologies. Illustrative database systems described herein may collect and process data while extracting or generating high-value data. The high-value data may be handled by databases providing functions such as multi-temporality, provenance, flashback, and registered queries. In some examples, computing models and system may be implemented to combine knowledge and process management aspects with the near real-time data processing frameworks in a data-driven situation aware computing system.

Knowledge-intensive data processing system

The disclosed embodiments relate to a system that preprocesses sensor data to facilitate prognostic-surveillance operations. During operation, the system obtains training data from sensors in a monitored system during operation of the monitored system, wherein the training data comprises time-series data sampled from signals produced by the sensors. The system also obtains functional requirements for the prognostic-surveillance operations. Next, the system performs the prognostic-surveillance operations on the training data and determines whether the prognostic-surveillance operations meet the functional requirements when tested on non-training data. If the prognostic-surveillance operations do not meet the functional requirements, the system iteratively applies one or more preprocessing operations to the training data in order of increasing computational cost until the functional requirements are met.

Intelligent preprocessing of multi-dimensional time-series data

Data can be categorized into facts, information, hypothesis, and directives. Activities that generate certain categories of data based on other categories of data through the application of knowledge which can be categorized into classifications, assessments, resolutions, and enactments. Activities can be driven by a Classification-Assessment-Resolution-Enactment (CARE) control engine. The CARE control and these categorizations can be used to enhance a multitude of systems, for example diagnostic system, such as through historical record keeping, machine learning, and automation. Such a diagnostic system can include a system that forecasts computing system failures based on the application of knowledge to system vital signs such as thread or stack segment intensity and memory heap usage. These vital signs are facts that can be classified to produce information such as memory leaks, convoy effects, or other problems. Classification can involve the automatic generation of classes, states, observations, predictions, norms, objectives, and the processing of sample intervals having irregular durations.

Seasonal trending, forecasting, anomaly detection, and endpoint prediction of thread intensity statistics

Seasonal trending, forecasting, anomaly detection, and endpoint prediction of java heap usage

Predictive diagnosis of SLA violations in cloud services by seasonal trending and forecasting with thread intensity analytics

Knowledge intensive data management system for business process and case management

Systems, methods, and other embodiments associated with bi-temporal user profiling are described. An event is detected that occurs at a valid event time. In response to the event, a repository is accessed that stores data describing one or more user profiles that include a profile record valid time period specifying a time at which the given profile record is valid. A prior user profile record is retrieved that has a profile record valid time period that overlaps with the valid event time. An updated user profile record is created based, at least in part, on the event. The updated user profile record is saved with the valid event time demarcating the start of a profile valid time period. The prior user profile with the valid event time demarcating the end of the profile record valid time period is also saved for subsequent processing.

Bi-temporal user profiles for information brokering in collaboration systems

A workflow system that automates work processes. The workflow system uses an open architecture to support multiple platforms and includes Application Programming Interfaces (APIs) enabling applications to communicate with a workflow engine. The workflow system supports Relational DataBase Management System (RDBMS) databases and allows routing of any kind of work (forms, images, executables). In addition, its flexible architecture is designed to facilitate changes to a workflow dynamically and to support integration with an existing infrastructure. The workflow system links software components to enable participants to work on shared data and ensures that business processes follows predetermined rules. Each task in the process is regulated such that the appropriate people have access to the appropriate data and are instructed to perform the task at the appropriate time. A developer can use a workflow system provided client to get an application up and running relatively quickly. The workflow system provides adapters which enables quick deployment and element flexibility. Adapters have a fixed interface which allows the Document Management System ((DMS)), Directory Services (DS) and DataBase system (DB) to be changed independent of the application in contrast to other workflow systems which tie the application directly to the (DMS), DS, and DB. The adapters allow developers to attach clients of varying types and magnitude and allows developers to mix and match application elements to better serve their application. Thus, the workflow system is not tied to any proprietary (DMS), DS, or DB.

Workflow system and method

Growing community of inventors

Hillsborough, CA, United States of America

Adel Ghoneimy