eCos is an open source, royalty-free, real-time operating system intended for embedded applications. The highly configurable nature of eCos allows the operating system to be customised to precise application requirements, delivering the best possible run-time performance and an optimised hardware resource footprint. A thriving net community has grown up around the operating system ensuring on-going technical innovation and wide platform support.
Free or low-cost sources of unstructured information, such as Internet news and online discussion sites, provide detailed local and near real-time data on disease outbreaks, even in countries that lack traditional public health surveillance. To improve public health surveillance and, ultimately, interventions, we examined 3 primary systems that process event-based outbreak information: Global Public Health Intelligence Network, HealthMap, and EpiSPIDER. Despite similarities among them, these systems are highly complementary because they monitor different data types, rely on varying levels of automation and human analysis, and distribute distinct information. Future development should focus on linking these systems more closely to public health practitioners in the field and establishing collaborative networks for alert verification and dissemination. Such development would further establish event-based monitoring as an invaluable public health resource that provides critical context and an alternative to traditional indicator-based outbreak reporting.
Nondeterministic pauses in traditional garbage collection (GC) have inhibited Java technology from being a suitable environment for real-time (RT) development. Metronome GC -- part of IBM WebSphere Real Time -- provides deterministic GC behavior that, when combined with other features, enables developers to write hard RT applications in the Java language. The authors describe the approach that Metronome uses for deterministic GC, technical issues involved in developing Metronome, and the tools and facilities available for tuning GC.
Esper and NEsper enable rapid development of applications that process large volumes of incoming messages or events. Esper and NEsper filter and analyze events in various ways, and respond to conditions of interest in real-time.
A key component of a company's IT framework is a business intelligence (BI) system. Traditional BI systems were designed for senior management and business analysts to report on, analyze and optimize business operations to reduce costs and increase revenues. Organizations use BI for strategic and tactical decision making where the decision-making cycle may span a time period of several weeks or months. Competitive pressures coming from a very dynamic business environment are forcing companies to react faster to changing business conditions and customer requirements. As a result, there is now a need to use BI to help drive and optimize business operations on a daily basis, and, in some cases, even for intraday decision making. This type of BI is called operational business intelligence and real-time business intelligence and it is used not only by senior management and analysts (as in traditional BI) but also by line of business managers and operational users. In other words this is BI for everyone.
Fundamentally, Web 3.0 is about using semantic technology to derive meaning from the vast accumulation of textual information out there on the Web and do something useful with it. If you want a slightly deeper dive on Web 3.0 then read What is Web 3.0 and Why Should I Care? but fundamentally it’s about semantic technology.
Pysdex uses such technology to parse information in real time for meaning, aggregating it and filtering it, and delivering it to various streamed services that it offers to its customers. The diagram below illustrates that process.