Poster abstract: Enabling reliable and high-fidelity data center sensing

bstract: Enabling Reliable and High-Fidelity Data Center Sensing Chieh-Jan Mike Liang† , Jie Liu‡ , Liqian Luo , Andreas Terzis† † Johns Hopkins University ‡ Microsoft Research Google RACNet is a sensor network that monitors a data center’s environmental conditions at high temporal and spatial resolutions. The data RACNet collects can improve the energy efficiency of data centers, currently one of the fastest growing energy consumers in the U.S. RACNet overcomes the challenge of reliable and lowlatency data gathering from dense networks deployed in harsh RF environments through rDCP, a novel network protocol that decouples data collection from topology control. Furthermore, rDCP automatically partitions the network to multiple routing trees, each operating at a different frequency channel. The combination of these features enables rDCP to scale up while maintaining high data yields. Preliminary results from a production deployment of 694 sensors (including 174 wireless no...

• Type: Conference
• Year: 2009
• Where: IPSN
• Authors: Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis
• Keywords: Data Centers, Data Yield, IPSN 2009, Lowlatency Data Gathering, Sensor Networks