Mahanaxar: Quality of service guarantees in high-bandwidth, real-time streaming data storage

  • Authors:
  • David Bigelow;Scott Brandt;John Bent;H B. Chen

  • Affiliations:
  • University of California, Santa Cruz;University of California, Santa Cruz;Los Alamos National Laboratory;Los Alamos National Laboratory

  • Venue:
  • MSST '10 Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST)
  • Year:
  • 2010

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Abstract

Large radio telescopes, cyber-security systems monitoring real-time network traffic, and others have specialized data storage needs: guaranteed capture of an ultra-high-bandwidth data stream, retention of the data long enough to determine what is “interesting,” retention of interesting data indefinitely, and concurrent read/write access to determine what data is interesting, without interrupting the ongoing capture of incoming data. Mahanaxar addresses this problem. Mahanaxar guarantees streaming real-time data capture at (nearly) the full rate of the raw device, allows concurrent read and write access to the device on a best-effort basis without interrupting the data capture, and retains data as long as possible given the available storage. It has built in mechanisms for reliability and indexing, can scale to meet arbitrary bandwidth requirements, and handles both small and large data elements equally well. Results from our prototype implementation show that Mahanaxar provides both better guarantees and better performance than traditional file systems.