International Business Machines Corporation

Opher Etzion

Segev Eliezer Wasserkrug

Asaf Adi

Tali Yatzkar-Haham

Mark Holmes Linehan

Ella Rabinovich

Guy Sharon

Dagan Gilat

David Botzer

Sylvain Dehors

Inna Skarbovsky

Elior Malul

Nir Zolotorevsky

A novel and useful method, system and framework for extending event processing pattern language to include constructs and patterns in the language to support historical patterns and associated retrospective event processing that enable a user to define patterns that consist of both on-line streaming and historical (retrospective) patterns. This enables entire functions to be expressed in a single pattern language and also enables event processing optimization whereby function processing is mapped to a plurality of event processing agents (EPAs). The EPAs in turn are assigned to a physical processor and to threads within the processor.

Retrospective event processing pattern language and execution model extension

Techniques for generating complex event processing rules in a controlled natural language are provided. The techniques include obtaining one or more vocabularies that encompass a set of one or more noun and verb concepts, dynamically building an inheritance hierarchy of one or more named vocabulary concepts from the one or more vocabularies, parsing a controlled natural language input textual statement by using one or more names and the inheritance hierarchy to identify one or more temporal concepts and one or more complex event processing concepts, and converting the controlled natural language input textual statement to a complex event processing language statement by generating a representation of a lexical structure of the controlled natural language input textual statement that contains a reference to each identified temporal and complex event processing concept.

Generating complex event processing rules

A method of adapting an event processing component. The method comprises designating an event processing component having a plurality of event processing agents which carry out a plurality of rules to process a plurality of events, selecting at least one rules correctness requirement, and automatically adjusting, using a processor, the plurality of event processing rules to comply with the at least one correctness requirement.

Method of adapting an event processing component having a plurality of event processing agents which carry out a plurality of rules complying with at least one correctness requirement to process a plurality of events

A method of optimizing runtime spatiotemporal events processing is provided. The method includes the following stages: defining a plurality of spatial contexts or spatiotemporal contexts; specifying a plurality of spatial patterns or spatiotemporal patterns being relationships between events complying with specified policies within the defined spatial contexts and spatiotemporal contexts respectively; identifying events of specified properties out of a stream of incoming events, based on the defined spatial contexts or the defined spatiotemporal contexts; detecting event patterns of specified properties out of the stream of incoming events by grouping the incoming events and applying a pattern matching process based on the specified spatial patterns or spatiotemporal patterns; adaptively generating a spatial evaluation plan that defines an order of processing such that event processing is optimized, based on off-line and runtime data; and processing the incoming events based on the order defined in the spatial evaluation plan.

Runtime optimization of spatiotemporal events processing

A method and system for ADI (Active Dependency Integration) provides an information and execution model for the description of enterprise systems, solutions and services. It supports the modeling of various entities and business components (e.g. event, disk, application, activity, business process), the information that is associated with them (i.e. schema), and the semantic relationships among them (e.g. dependency between a business component and other business components and events). The ADI execution model monitors and manages business components and the relationships among them. It automatically updates business components information in response to events occurrences and constraints violations, and propagates changes in business components to other business components according to the dependency model.

Method and system for active monitoring of dependency models

A method and system for establishing a situation for use in an event-driven application receives one or more events, and queries an external database for obtaining auxiliary data defining relevant external knowledge for detecting the situation. The event or events are integrated with the auxiliary data for generating a composite event defining the situation. The database query is constructed in real time based on the received events with a query language using SQL primitives.

Method and system for ensuring system awareness with data base connection on demand

A method for situation management includes specifying a composite event as a combination of two or more predefined component events and defining a rule, which causes a reaction to be invoked upon an occurrence of the composite event subject to a given condition. When at least first and second instances of the component events are received before invoking the reaction, the first instance is evaluated subject to the condition, so as to determine whether the first instance can satisfy the rule, before evaluating the second instance. Responsive to evaluating the first instance subject to the condition, it is determined that the composite event has occurred, and the reaction is invoked.

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Haifa, Israel

Opher Etzion