Chris A. Mattmann is a senior computer scientist at the NASA Jet Propulsion Laboratory, working on instrument and science data systems on earth science missions and informatics tasks. He’s also an adjunct assistant professor in the Computer Science Department at the University of Southern California. His research interests are primarily software architecture and large-scale data-intensive systems. Mattmann received his PhD in computer science from the University of Southern California. He’s a senior member of IEEE. Contact him at firstname.lastname@example.org.
This discussion will outline the importance and unique user capabilities afforded by the Process Control System (PCS) core package, along with the PCS REST services work undertaken in OODT-139. Real world Apache OODT deployments in the area of Regional Climate Modeling, Decision Support for Snow Data, Radioastronomy and in Biomedicine will be discussed, and the use of PCS will be described in an end-to-end example.
This session should be applicable for folks with a basic understand of the Apache OODT CAS components and should show how to rapidly take advantage of the exciting new PCS features making their way into Apache OODT 0.3.
One of the most frequent things we see in the OODT community however is the desire from our users and other individuals to know more about the overall ecosystem. As a project and community, OODT has existed for 10+ years, and spans the areas of technology, research, and academics, including numerous book chapters, journal articles and peer reviewed conference publications documenting OODT's use in different science domains and across multiple projects.
This overview talk will give attendees insight into OODT's history: its community: its projects: and its ecosystem. Topics will include:
- overview of OODT and its history
- how we got it to Apache
- how other projects can follow our model
- existing successful deployments of OODT
- pointers to papers, and more information including case studies
Those domains span from the technical industry to domains of science and within the federal government.
Tika has been used as a teaching platform for computer science graduate students, has been used to unlock information from NASA images, and from the National Cancer Institute, and has also been used to provide rich meaning and information representation of content captured in pervasive document repositories and warehouses. These are only some of Tika's broad applications.
In November, we hope to have released Tika 1.0. This will coincide with a number of other properties that demonstrate Tika has reached the point of a mature community, including:
1. Concrete, stable features, and core interfaces.
2. Tika's use in multiple programming languages and environments.
3. Our growth in Apache, and election of new committers and PMC members (and ASF members).
4. Developer articles appearing quite frequently on Tika.
5. The culmination of a wealth of knowledge in the form of a book that will be published on Tika at the time of the ApacheCon meeting.
This talk will focus on how we got here, and what's next for this thriving Apache community.