Persistent temporal streams

  • Authors:
  • David Hilley;Umakishore Ramachandran

  • Affiliations:
  • College of Computing, Georgia Institute of Technology;College of Computing, Georgia Institute of Technology

  • Venue:
  • Middleware'09 Proceedings of the ACM/IFIP/USENIX 10th international conference on Middleware
  • Year:
  • 2009

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Abstract

Distributed continuous live stream analysis applications are increasingly common. Video-based surveillance, emergency response, disaster recovery, and critical infrastructure protection are all examples of such applications. They are characterized by a variety of high- and low-bandwidth streams as well as a need for analyzing both live and archived streams. We present a system called Persistent Temporal Streams (PTS) that supports a higher-level, domain-targeted programming abstraction for such applications. PTS provides a simple but expressive stream abstraction encompassing transport, manipulation and storage of streaming data. In this paper, we present a system architecture for implementing PTS. We provide an experimental evaluation which shows the system-level primitives can be implemented in a lightweight and high-performance manner, and an application-based evaluation designed to show that a representative high-bandwidth stream analysis application can be implemented relatively simply and with good performance.