TY - GEN
T1 - CapNet
T2 - 35th IEEE Real-Time Systems Symposium, RTSS 2014
AU - Saifullah, Abusayeed
AU - Sankar, Sriram
AU - Liu, Jie
AU - Lu, Chenyang
AU - Chandra, Ranveer
AU - Priyantha, Bodhi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/14
Y1 - 2015/1/14
N2 - Data center management (DCM) is increasingly becoming a significant challenge for enterprises hosting large scale online and cloud services. Machines need to be monitored, and the scale of operations mandates an automated management with high reliability and real-time performance. Existing wired networking solutions for DCM come with high cost. In this paper, we propose a wireless sensor network as a cost-effective networking solution for DCM while satisfying the reliability and latency performance requirements of DCM. We have developed Cap Net, a real-time wireless sensor network for power capping, a time-critical DCM function for power management in a cluster of servers. Cap Net employs an efficient event-driven protocol that triggers data collection only upon the detection of a potential power capping event. We deploy and evaluate Cap Net in a data center. Using server power traces, our experimental results on a cluster of 480 servers inside the data center show that Cap Net can meet the real-time requirements of power capping. Cap Net demonstrates the feasibility and efficacy of wireless sensor networks for time-critical DCM applications.
AB - Data center management (DCM) is increasingly becoming a significant challenge for enterprises hosting large scale online and cloud services. Machines need to be monitored, and the scale of operations mandates an automated management with high reliability and real-time performance. Existing wired networking solutions for DCM come with high cost. In this paper, we propose a wireless sensor network as a cost-effective networking solution for DCM while satisfying the reliability and latency performance requirements of DCM. We have developed Cap Net, a real-time wireless sensor network for power capping, a time-critical DCM function for power management in a cluster of servers. Cap Net employs an efficient event-driven protocol that triggers data collection only upon the detection of a potential power capping event. We deploy and evaluate Cap Net in a data center. Using server power traces, our experimental results on a cluster of 480 servers inside the data center show that Cap Net can meet the real-time requirements of power capping. Cap Net demonstrates the feasibility and efficacy of wireless sensor networks for time-critical DCM applications.
UR - http://www.scopus.com/inward/record.url?scp=84936948374&partnerID=8YFLogxK
U2 - 10.1109/RTSS.2014.35
DO - 10.1109/RTSS.2014.35
M3 - Conference contribution
AN - SCOPUS:84936948374
T3 - Proceedings - Real-Time Systems Symposium
SP - 334
EP - 345
BT - Proceedings - IEEE 35th Real-Time Systems Symposium, RTSS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 December 2014 through 5 December 2014
ER -