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Minimizing energy for wireless web access with bounded slowdown
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 8th annual international conference on Mobile computing and networking table of contents
Atlanta, Georgia, USA
SESSION: Wireless Local Area Networks table of contents
Pages: 119 - 130  
Year of Publication: 2002
ISBN:1-58113-486-X
Authors
Ronny Krashinsky  MIT Laboratory for Computer Science, Cambridge, MA
Hari Balakrishnan  MIT Laboratory for Computer Science, Cambridge, MA
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 25,   Citation Count: 42
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ABSTRACT

On many battery-powered mobile computing devices, the wireless network is a significant contributor to the total energy consumption. In this paper, we investigate the interaction between energy-saving protocols and TCP performance for Web like transfers. We show that the popular IEEE 802.11 power-saving mode (PSM), a "static" protocol, can harm performance by increasing fast round trip times (RTTs) to 100 ms; and that under typical Web browsing workloads, current implementations will unnecessarily spend energy waking up during long idle periods.To overcome these problems, we present the Bounded-Slowdown (BSD) protocol, a PSM that dynamically adapts to network activity. BSD is an optimal solution to the problem of minimizing energy consumption while guaranteeing that a connection's RTT does not increase by more than a factor p over its base RTT, where p is a protocol parameter that exposes the trade-off between minimizing energy and reducing latency. works by staying awake for a short period of time after the link idle. We present several trace-driven simulation results that show that, compared to a static PSM, the Bounded Slowdown protocol reduces average Web page retrieval times by 5--64%, while simultaneously reducing energy consumption by 1--14% (and by 13X compared to no power management).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  42

Collaborative Colleagues:
Ronny Krashinsky: colleagues
Hari Balakrishnan: colleagues