This report is a progress update on the US NDC Modernization Service Oriented Architecture (SOA) study d escribing results f rom a proof o f concept project completed from May through September 2013. Goals for this proof of concept are 1) gain experience configuring, using, and running an Enterprise Service Bus (ESB), 2) understand the implications of wrapping existing software in standardized interfaces for use as web services, and 3) gather performance metrics for a notional seismic event monitoring pipeline implemented using services with various data access and communication patterns. The proof of concept is a follow on to a previous SOA performance study. Work was performed by four undergraduate summer student interns under the guidance of Sandia staff.
In a traditional data‐processing pipeline, waveforms are acquired, a detector makes the signal detections (i.e., arrival times, slownesses, and azimuths) and passes them to an associator. The associator then links the detections to the fitting‐event hypotheses to generate an event bulletin. Most of the time, this traditional pipeline requires substantial human‐analyst involvement to improve the quality of the resulting event bulletin. For the year 2017, for example, International Data Center (IDC) analysts rejected about 40% of the events in the automatic bulletin and manually built 30% of the legitimate events. We propose an iterative processing framework (IPF) that includes a new data‐processing module that incorporates automatic analyst behaviors (auto analyst [AA]) into the event‐building pipeline. In the proposed framework, through an iterative process, the AA takes over many of the tasks traditionally performed by human analysts. These tasks can be grouped into two major processes: (1) evaluating small events with a low number of location‐defining arrival phases to improve their formation; and (2) scanning for and exploiting unassociated arrivals to form potential events missed by previous association runs. To test the proposed framework, we processed a two‐week period (15–28 May 2010) of the signal‐detections dataset from the IDC. Comparison with an expert analyst‐reviewed bulletin for the same time period suggests that IPF performs better than the traditional pipelines (IDC and baseline pipelines). Most of the additional events built by the AA are low‐magnitude events that were missed by these traditional pipelines. The AA also adds additional signal detections to existing events, which saves analyst time, even if the event locations are not significantly affected.
This report is a progress update on the USNDC Modernization Service Oriented Architecture (SOA) study d escribing results from Inception Iteration 1, which occurred between October 2012 and March 2013. The goals during this phase are 1) discovering components of the system that have potential service implementations, 2) identifying applicable SOA patterns for data access, service interfaces, and service orchestration/choreography, and 3) understanding performance tradeoffs for various SOA patterns
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