RACNet: A High-Fidelity Data Center Sensing Network

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

Abstract

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.

Details

Publication typeInproceedings
Published inProceedings of The 7th ACM Conference on Embedded Networked Sensor Systems (SenSys 2009)
PublisherAssociation for Computing Machinery, Inc.
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