Classical Time-Series Methods for Biosurveillance
In: Handbook of Biosurveillance, S. 217-234
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In: Handbook of Biosurveillance, S. 217-234
In: Handbook of Biosurveillance, S. 243-254
Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in practices of infection control and public health surveillance. *Reviews the current mathematical, statistical, and computer science systems for early detection of disease outbreaks *Provides extensive coverage of existing surveillance data *Discusses experimental methods for data measurement and evaluation *Addresses engineering and practical implementation of effective early detection systems *Includes real case studies
In: Handbook of Biosurveillance, S. 235-242
This is the author accepted manuscript. The final version is available from IEEE at http://dx.doi.org/10.1109/ReConFig.2015.7393334 ; Network Function Virtualization (NFV) allows creating specialized network appliances out of general-purpose computing equipment (servers, storage, and switches). In this paper we present a PCIe DMA engine that allows boosting the performance of virtual network appliances by using FPGA accelerators. Two key technologies are demonstrated, SR-IOV and PCI Passthrough. Using these two technologies, a single FPGA board can accelerate several virtual software appliances. The final goal is, in an NFV scenario, to substitute conventional Ethernet NICs by networking FPGA boards (such as NetFPGA SUME). The advantage of this approach is that FPGAs can very efficiently implement many networking tasks, thus boosting the performance of virtual networking appliances. The SR-IOV capable PCIe DMA engine presented in this work, as well as its associated driver, are key elements in achieving this goal of using FPGA networking boards instead of conventional NICs. Both DMA engine and driver are open source, and target the Xilinx 7-Series and UltraScale PCIe Gen3 endpoint. The design has been tested on a NetFPGA SUME board, offering transfer rates reaching 50 Gb/s for bulk transmissions. By taking advantage of SR-IOV and PCI Passthrough technologies, our DMA engine provides transfers rate well above 40 Gb/s for data transmissions from the FPGA to a virtual machine. We have also identified the bottlenecks in the use of virtualized FPGA accelerators caused by reductions in the maximum read request size and maximum payload PCIe parameters. Finally, the DMA engine presented in this paper is a very compact design, using just 2% of a Xilinx Virtex-7 XC7VX690T device ; This work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project PackTrack (TEC2012-33754) and by the European Union through the Integrated Project (IP) IDEALIST under grant agreement FP7- 317999. The stay of Sergio Lopez-Buedo at the University of Cambridge was funded by the Spanish Government under a "Jose Castillejo" grant. Additionally, this research was sponsored by EU Horizon 2020 SSICLOPS (agreement No. 644866) research program and EPSRC through Networks as a Service (NaaS) (EP/K034723/1) project
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In: Handbook of Biosurveillance, S. xiii-xiv