Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
RACNet: A High-Fidelity Data Center Sensing Network

Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis, and Feng Zhao


RACNet is a sensor network for monitoring a data center’s environmental conditions. The high spatial and temporal fidelity measurements that RACNet provides can be used to improve the data center’s safety and energy efficiency. RACNet overcomes the network’s large scale and density and the data center’s harsh RF environment to achieve data yields of 99% or higher over a wide range of network sizes and sampling frequencies. It does so through a novel Wireless Reliable Acquisition Protocol (WRAP). WRAP decouples topology control from data collection and implements a token passing mechanism to provide network-wide arbitration. This congestion avoidance philosophy is conceptually different from existing congestion control algorithms that retroactively respond to congestion. Furthermore, WRAP adaptively distributes nodes among multiple frequency channels to balance load and lower data latency. Results from two testbeds and an ongoing production data center deployment indicate that RACNet outperforms previous data collection systems, especially as network load increases.


Publication typeInproceedings
Published inSenSys (ACM Conference on Embedded Network Sensor Systems)
PublisherACM – Association for Computing Machinery

Previous versions

Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, and Andreas Terzis. Poster Abstract: Enabling Reliable and High-Fidelity Data Center Sensing, IEEE – Institute of Electrical and Electronics Engineers, April 2009.

> Publications > RACNet: A High-Fidelity Data Center Sensing Network