“San Diegans need somewhere to turn when a natural disaster hits a rural area nearby, in order to make better decisions about what to do next,” said Hans-Werner Braun, a research scientist at the San Diego Supercomputer Center (SDSC) and director of its Applied Network Research group, which operates the High Performance Wireless Research and Education Network (HPWREN).
“Until now we have been able to provide that service covering large parts of San Diego’s back-country, but now we need to ensure that during the next crisis, peak demand for our data will not swamp our ability to keep the camera feeds up and running.”
The UC San Diego division of the California Institute for Telecommunications and Information Technology (Calit2) and the National Science Foundation-funded HPWREN are partnering on the new project.
“Calit2 is enriching situational awareness in rural San Diego not just for those who live there, as well as their friends and family elsewhere, but also for emergency responders who need to know the situation on the ground before they arrive on the scene,” said Calit2 director Larry Smarr. “HPWREN is a tremendous asset, and with Calit2 providing a more scalable data server architecture and backend with additional hardware, the network can serve the needs of many more people and agencies – not just during wildfires, but in other emergencies as well.”
Approximately 1,000 people visit HPWREN’s web page to view camera feeds on a typical day. On a not-so-typical day – like when snow recently blanketed large swathes of rural San Diego mountaintops – the number of visitors quadrupled.
Braun compares that with what happened during the 2007 Harris Fire. “We ended up at the peak with roughly 50,000 visitors in a single day, and they downloaded more than 70 gigabytes of data from a single server,” he said. “Keep in mind that every page visit may return 30, 40 or 50 items, or ‘hits’, so those peak loads can overwhelm a server. We know that a lot of people were unable to get through on their first try, so they had to keep trying if it was critical to know how far the flames had spread, and to know whether their homes were in the line of fire. It’s very hard to optimize for a system that can jump up to 50 times normal daily users for brief periods of time – and you don’t know which day the disaster will strike."
After HPWREN partnered last October with the County of San Diego and Calit2 on the FireSight project (http://www.calit2.net) to deploy new cameras on Mt. Woodson, Red Mountain (near Fallbrook) and elsewhere, it became clear that enhancing the camera network was not enough. It had to be able to withstand an onslaught of visitors to the website.
Calit2 proposed to HPWREN’s Braun that the institute dedicate server hardware from its NSF-funded GreenLight project (http://greenlight.calit2.net) to handle the peak loading. The project would also help the GreenLight project by providing another application type that can be tracked for its energy usage. Noted GreenLight principal investigator Tom DeFanti: “We were able to spend significant GreenLight funds for this because of the opportunity for energy monitoring of at-scale, broad-interest services.”
The solution devised by Calit2 engineers, including Greg Hidley, Brian Dunne, Joe Keefe and Chris Misleh, is fully scalable, and robust enough to handle any foreseeable response to wildfires or other visible hazards. “The HPWREN and GreenLight teams developed a strategy to improve access to HPWREN camera data,” said Hidley, chief engineer on the GreenLight project. “Our team put together an infrastructure upgrade implementation plan for this strategy designed to improve performance, control and reliability of HPWREN data access as well as provide improved infrastructure reliability and data redundancy.”
The hardware provided and set up by Calit2 includes multiple Sun SunFire 4540 high-performance storage servers (Thumpers), multiple 10 Gigabits-per-second network paths to Calit2 HPWREN data, as well as an A10 Load Balancer, with RAM Cache, compression offloads, TCP optimizations and simultaneous connectivity to multiple resource servers.
Some of the most vivid images used on local TV broadcasts during the Harris Fire were from HPWREN’s cameras, most of which are refreshed every two minutes. HPWREN can then string together those images to create time-lapse animations of the progress of a fire over time. In the Harris Fire, neighborhood blogs in the Jamul area that linked to HPWREN’s camera feeds were a lifeline, especially at times when local TV crews were not on the scene. As local resident Tom Dilatus told a writer, the cameras were what kept people in his neighborhood sane: “They were the only reliable source of information about where the fire was burning.”
For now, HPWREN will continue to host content on its original server, while the scalable server complex at Calit2 hosts a mirror site.
Calit2 copies HPWREN content from HPWREN cameras via iRODS, a second-generation data grid system, to a Calit Sun Thumper, which then replicates it on three other Thumpers (two in Calit2’s server room in Atkinson Hall, and one in GreenLight’s SunMD modular datacenter adjacent to the School of Pharmacy and Pharmaceutical Sciences).
All the Thumpers are running on the NSF-funded, Calit2-led OptIPuter (http://www.optiputer.net/) ultra-broadband network linking major research buildings on the UCSD campus. Web servers have been setup on the Thumpers and the A10 load balancer was installed to distribute web requests across multiple servers. “In addition to pulling content from multiple servers, increasing speed and availability,” explained Hidley, “the load balancer can optimize TCP traffic as well as provide caching and data-compression offloading to improve performance. The load balancer can also prioritize user requests via IP addresses, giving access priority and predictable response to emergency responders.”
The new cyberinfrastructure should be able to respond to hundreds of thousands of visitors, and scale even higher on a moment’s notice with the addition of new Thumpers.
“It’s not just creating redundancy in the system or playing the role of backup, although that is part of it in the short run,” said Braun. “Scalable servers are much better able to distribute the content, so over time the scalable system will eventually become the main site.”
The launch announced today is a beta deployment of the system, but consumers can already visit the site and download data. The engineers still want to put the system through its paces while mimicking the load factors to be expected in a large-scale disaster scenario. “We are finalizing the stress testing on a portion of the back end,” said Calit2’s Joe Keefe. “We are currently in a staging phase, and we should be able to fully test a complete load balancing structure very soon.”
“We expect significant improvement in performance, especially during large-scale events,” concluded HPWREN’s Braun. “Eventually we look forward to integrating more environmental sensors, not just cameras, into the network. We could integrate various other kinds of environmental sensors to present a collated view of complex situations. Examples are water and air quality, meteorological data, and seismic data. Many such sensors are already in operation on HPWREN.”
Doug Ramsey | Newswise Science News
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