TARDIS: software-only system-level record and replay in wireless sensor networks

@inproceedings{Creti2015TARDISSS,
  title={TARDIS: software-only system-level record and replay in wireless sensor networks},
  author={Matthew Tan Creti and V. Sundaram and S. Bagchi and P. Eugster},
  booktitle={IPSN '15},
  year={2015}
}
  • Matthew Tan Creti, V. Sundaram, +1 author P. Eugster
  • Published in IPSN '15 2015
  • Computer Science
  • Wireless sensor networks (WSNs) are plagued by the possibility of bugs manifesting only at deployment. However, debugging deployed WSNs is challenging for several reasons---the remote location of deployed sensor nodes, the non-determinism of execution that can make it difficult to replicate a buggy run, and the limited hardware resources available on a node. In particular, existing solutions to record and replay debugging in WSNs fail to capture the complete code execution, thus negating the… CONTINUE READING
    17 Citations
    A testbed for fine-grained tracing of time sensitive behavior in wireless sensor networks
    • 16
    • PDF
    Auditability: An Approach to Ease Debugging of Reliable Distributed Systems
    • Sara Alhajaili, A. Jhumka
    • Computer Science
    • 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing (PRDC)
    • 2019
    Enabling Inspection of Wireless Embedded Systems
    HALucinator: Firmware Re-hosting Through Abstraction Layer Emulation
    • 11
    • PDF
    Energy efficiency in data collection wireless sensor networks
    • 1
    AdapTracer: Adaptive path profiling using arithmetic coding
    • 2
    • PDF
    Challenges in Firmware Re-Hosting and Analysis
    • PDF
    Adaptive Path Profiling Using Arithmetic Coding
    • Gonglong Chen, W. Dong
    • Computer Science
    • 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)
    • 2015
    • 2
    • PDF

    References

    SHOWING 1-2 OF 2 REFERENCES
    Replay debugging for distributed applications
    • 191
    • Highly Influential
    • PDF
    Friday: Global Comprehension for Distributed Replay
    • 141
    • Highly Influential
    • PDF