Abstract: A framework for extending the capabilities of an event processing system using one or more plug-in components referred to herein as data cartridges. In one set of embodiments, the data cartridge framework described herein can enable an event processing system to support one or more extension languages that are distinct from the native event processing language supported by the system. For example, certain “extension language” data cartridges can be provided that enable an event processing system to support complex data types and associated methods/operations that are common in object-oriented languages, but are not common in event processing languages. In these embodiments, an event processing system can access an extension language data cartridge to compile and execute queries that are written using a combination of the system's native event processing language and the extension language.

Abstract: A method for supporting compensation work comprises the steps of associating a data structure with a compensation function, and associating the data structure with the at least one event that can be encountered during execution of a forward work. The data structure contains a pair of pointers, which includes a first pointer to a code to be executed for the compensation function, and a second pointer to a stack frame of a closest lexically enclosing scope of a declaration of the compensation function in a computer program text.

Abstract: An event server receiving input streams of events and producing output streams of events is adapted to be clustered with other event servers. The event server uses configuration data to control the event processing. The event server multicasting updates of the configuration data to the other event servers of the cluster and receiving multicasted configuration updates from one of the other event servers of the cluster.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for performing compensation work. These mechanisms and methods can enable embodiments to provide design patterns for implementing compensation work. The ability of embodiments to provide design patterns for implementing compensation work can provide consistency of long-running business processes defined using means of some programming language or modeling tool. Further, embodiments can enable compensation functions implementing compensation work to be efficiently persisted and to be passed as arguments to other program components.

Abstract: An event server receiving input streams of events and producing output streams of events is adapted to be clustered with other event servers. The event server uses configuration data to control the event processing. The event server multicasting updates of the configuration data to the other event servers of the cluster and receiving multicasted configuration updates from one of the other event servers of the cluster.

Abstract: An event server adapted to receive events from an input stream and produce an output event stream. The event server uses a processor using code in an event processing language to process the events. The event server obtaining input events from and/or producing output events to a cache.

Abstract: A Realtime Event Server comprising a component to operate on data from data streams; and a configuration system adapted to supply configuration for the realtime event server, the configuration including dynamic configuration, the dynamic configuration being changeable without restarting the component.

Abstract: An event server running an event driven application implementing an event processing network. The event processing network can include at least one processor to implement a rule on at least one input stream. The event driven application can be specified by XML that is an extension of SPRING framework XML.

Abstract: An event server running an event driven application implementing an event processing network the event processing network can include at least one processor to implement a rule an at least one input stream. Priority for parts of the event processing network can be settable by a user.

Abstract: An event processor can use queries to operate on event streams. Event processing queries can include an output clause to restrict the output of the query.

Abstract: An event processor can use event processing queries to operate an event. Event processing queries can include a “retain” clause that limits the amount of data over which the query is run.

Abstract: An event processor can use event processing queries to operate on an event stream. Event processing queries can include a “matching” function that matches a pattern in the event stream.