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Aventri, formerly known as Etouches, [1] is a cloud-based event management software company based in Norwalk, Connecticut best known for its integrated events management SaaS solutions. [2] The company has over 1,200 users spanning 35 countries worldwide, with corporations such as Coca-Cola, MasterCard and Dell part of its client mix. [3]
The high degree of semantic heterogeneity of events in large and open deployments such as smart cities and the sensor web makes it difficult to develop and maintain event-based systems. In order to address semantic coupling within event-based systems the use of approximate semantic matching of events is an active area of research. [12]
SOA 2.0 is the ability to create high-level business events from numerous low-level system events. Events are created by filtering real-time data (from middleware, applications, databases, and Web services, for example) and infusing it with defining detail such as dependencies or causal relationships discovered by correlating other events.
Global Connectivity: Cloud-based event management platforms facilitate seamless collaboration among dispersed event teams and stakeholders worldwide. These platforms enable real-time access, updates, and scalability across different geographical locations, catering to global event management needs efficiently.
Federal systems categorized based on their impact on confidentiality, integrity, and availability (CIA) have five specific logging requirements (AU-2 a-e) that must be met. [17] While logging every action is possible, it is generally not recommended due to the volume of logs and the need for actionable security data.
Event logging: regardless of the event type, a good practice should be to record the event and the actions taken. The event can be logged as an Event Record or it can be left as an entry in the system log of the device. Alert and human intervention: for events that requires human intervention, the event needs to be escalated.
From these events the monitoring system may infer a complex event: a wedding. CEP as a technique helps discover complex events by analyzing and correlating other events: [5] the bells, the man and woman in wedding attire and the rice flying through the air. CEP relies on a number of techniques, [6] including: Event-pattern detection; Event ...
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