Declarative failure recovery for sensor networks

  • Authors:

  • Ramakrishna Gummadi;Nupur Kothari;Todd Millstein;Ramesh Govindan

  • Affiliations:

  • University of Southern California;University of Southern California;University of California, Los Angeles;University of Southern California

  • Venue:
  • Proceedings of the 6th international conference on Aspect-oriented software development
  • Year:
  • 2007

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Abstract

Wireless sensor networks consist of a system of distributed sensors embedded in the physical world, and promise to allow observation of previously unobservable phenomena. Since they are exposed to unpredictable environments, sensor-network applications must handle a wide variety of faults: software errors, node and link failures, and network partitions. The code to manually detect and recover from faults crosscuts the entire application, is tedious to implement correctly and efficiently, and is fragile in the face of program modifications. We investigate language support for modularly managing faults. Our insight is that such support can be naturally provided as an extension to existing "macroprogramming" systems for sensor networks. In such a system, a programmer describes a sensor network application as a centralized program; a compiler then produces equivalent node-level programs. We describe a simple checkpoint API for macroprograms, which can be automatically implemented in a distributed fashion across the network. We also describe declarative annotations that allow programmers to specify checkpointing strategies at a higher level of abstraction. We have implemented our approach in the Kairos macroprogramming system. Experiments show it to improve application availability by an order of magnitude and incur low messaging overhead.