Title
Bartendr: a practical approach to energy-aware cellular data scheduling
Abstract
Cellular radios consume more power and suffer reduced data rate when the signal is weak. According to our measurements, the communication energy per bit can be as much as 6x higher when the signal is weak than when it is strong. To realize energy savings, applications must preferentially communicate when the signal is strong, either by deferring non-urgent communication or by advancing anticipated communication to coincide with periods of strong signal. Allowing applications to perform such scheduling requires predicting signal strength, so that opportunities for energy-efficient communication can be anticipated. Furthermore, such prediction must be performed at little energy cost. In this paper, we make several contributions towards a practical system for energy-aware cellular data scheduling called Bartendr. First, we establish, via measurements, the relationship between signal strength and power consumption. Second, we show that location alone is not sufficient to predict signal strength and motivate the use of tracks to enable effective prediction. Finally, we develop energy-aware scheduling algorithms for different workloads - syncing and streaming - and evaluate these via simulation driven by traces obtained during actual drives, demonstrating energy savings of up to 60%. Our experiments have been performed on four cellular networks across two large metropolitan areas, one in India and the other in the U.S.
Year
DOI
Venue
2010
10.1145/1859995.1860006
MobiCom
Keywords
Field
DocType
cellular data scheduling,anticipated communication,practical approach,signal strength,non-urgent communication,energy saving,communication energy,energy cost,strong signal,cellular network,cellular radio,energy-efficient communication,energy,measurement,mobile,scheduling algorithm,evdo,hsdpa,hardware,energy efficient
Scheduling (computing),High-Speed Downlink Packet Access,Computer science,Computer network,Real-time computing,Cellular network,Data rate,Signal strength,Data scheduling,Power consumption,Distributed computing
Conference
Citations 
PageRank 
References 
98
6.94
18
Authors
8
Name
Order
Citations
PageRank
Aaron Schulman128922.45
Vishnu Navda286547.76
R. Ramjee33180299.73
neil spring43681276.15
Pralhad Deshpande529017.38
Calvin Grunewald6986.94
Kamal Jain73563295.66
Venkata N. Padmanabhan8102861183.58