Executive summary and workshop report.
Fostering and nurturing research and technical communities to develop DDDAS capabilities began a few years ago with the NSF DDDAS March 2000 Workshop and continued by seeding efforts on DDDAS through the NSF's ITR and DDDAS programs. Through these initial efforts a wealth of new multidisciplinary research advances and novel approaches and methods have emerged to enable DDDAS capabilities. The current projects include many areas of national and international priority and span synergistic advances in new methods in modeling and analysis, research in measurement, data collection and management, mathematical and statistical algorithms, and research on new systems software methods and software infrastructure frameworks.
This workshop brings together individuals from academia, government research laboratories, and federal grant agencies. The workshop is intended to address the problems, needs, possibilities and new opportunities for DDDAS multidisciplinary research and education. We envision the workshop to address such issues in the format of panel sessions and breakout groups, most likely along the areas of applications, algorithms, and systems' software technologies. The workshop is also expected to produce a report to be made available to the wider community and also serve as guidance for NSF's programmatic considerations.
The objectives of the workshop are:
There will be four Working Group (WG) tracks:
Below is a brief list of possible items to be addressed by each working group. The discussions will be driven by topics deemed suitable by the WG attendees and led by the WG co-Chairs. Together with WG breakouts there will be two joint sessions (an interim and a closing one), where the groups will be brought together to discuss items of joint interest. After the sessions, WG co-Chairs will finalize the Workshop Report which will be posted on the DDDAS webpage.
Some of the items to be discussed (but not limited to) include:
Why is now the right time for fostering this kind of research? What venues and mechanisms are optimal to facilitate the multidisciplinary nature of the research needed in enabling such capabilities? What existing or planned initiatives exist that support such efforts? How can these new research directions be used to create some exciting opportunities for student education and training? What new opportunities are created for postdoctoral experiences? What kinds of connections among academic, industrial and federal sectors, as well as interactions with the international community, can be beneficial? How can these be fostered effectively to focus research efforts and expedite technology transfer? How does DDDAS enable new applications and impacts other new research directions and advances? What are the grand challenges whose solutions maybe enabled by DDDAS?
What are the opportunities and challenges in enabling DDDAS capabilities? What research and technologies are covered by the present projects? Provide applications examples that will benefit from the new paradigm, existing and potential new applications, challenges in developing such applications, multilevel and multimodal modeling, composition of such complex applications, data management and interfaces to experiments/field-data, computation, memory, and I/O requirements. As these requirements are expected to be dynamic, what are the implied applications modeling technology advances that are need and what’s the needed systems support? What are the issues in data management, dynamic selection of application components, mapping, interfaces for request and allocation of systems resources so that quality of service is ensured for the applications?
What is the state-of-the-art and what are the challenges in the applications algorithms to enable such capabilities? What advances are needed to enable application algorithms that are tolerant to perturbations from “on-line” input data and have stability properties? How can one select and incorporate dynamically appropriate algorithms as the application requirements and data sets change in the course of simulation? What kinds of approaches, such as knowledge-based systems, can be employed, and what interfaces and applications assists are needed to enable such capabilities? What systems support is required to develop such environments?
What is the state of the art in measurement systems and how are they integrated in DDDAS? For example, where measurements from sensors, other instruments and data repositories are dynamically integrated with the application modeling to improve the application modeling, and, the converse, where the on-line application control of the measurement instrument or process provides opportunity to improve the measurement process, guide the design and operational aspects of measurement instruments, guide the architecture of sets of sensors and other instruments thus improving the effectiveness or efficiency of the measuring systems. What are the challenges and opportunities in software and hardware technologies to enable such dynamic interfaces? What improvements in the measurement methods are expected? How are they going to be enabled?
What is the state-of-the-art and what advances are needed in computer systems software methods and tools, and what new capabilities should be provided by the underlying systems and platforms on which these applications execute, so that quality of service is ensured? What are the software challenges in the programming environments for the development and runtime support, under conditions where the underlying resources as well as the applications requirements might be changing at execution time? What are the challenges to integrate real-time sensor and other measurement devices with special purpose data processing systems together with the parts of the application that execute in larger platforms and drive a seamless integration of stationary and mobile devices together with large high-end platforms, entailing grids that go beyond the present computational grids? What are the issues with respect to data management, data models and structures, and interfaces between simulations and measurements? What are the additional capabilities that are needed in the application support and systems management services?
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