http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Simoens, Pieter,Ali, Farhan Azmat,Vankeirsbilck, Bert,Deboosere, Lien,Turck, Filip De,Dhoedt, Bart,Demeester, Piet,Torrea-Duran, Rodolfo,Perre, Liesbet Van der,Dejonghe, Antoine The Korea Institute of Information and Commucation 2012 Journal of communications and networks Vol.14 No.1
Thin client computing trades local processing for network bandwidth consumption by offloading application logic to remote servers. User input and display updates are exchanged between client and server through a thin client protocol. On wireless devices, the thin client protocol traffic can lead to a significantly higher power consumption of the radio interface. In this article, a cross-layer framework is presented that transitions the wireless network interface card (WNIC) to the energy-conserving sleep mode when no traffic from the server is expected. The approach is validated for different wireless channel conditions, such as path loss and available bandwidth, as well as for different network roundtrip time values. Using this cross-layer algorithm for sample scenario with a remote text editor, and through experiments based on actual user traces, a reduction of the WNIC energy consumption of up to 36.82% is obtained, without degrading the application's reactivity.
Pieter Simoens,Farhan Azmat Ali,Bert Vankeirsbilck,Lien Deboosere,Filip De Turck,Bart Dhoedt,Piet Demeester,Rodolfo Torrea-Duran,Liesbet Van der Perre,Antoine Dejonghe 한국통신학회 2012 Journal of communications and networks Vol.14 No.1
Thin client computing trades local processing for network bandwidth consumption by offloading application logic to remote servers. User input and display updates are exchanged between client and server through a thin client protocol. On wireless devices, the thin client protocol traffic can lead to a significantly higher power consumption of the radio interface. In this article, a cross-layer framework is presented that transitions the wireless network interface card (WNIC) to the energy-conserving sleep mode when no traffic from the server is expected. The approach is validated for different wireless channel conditions, such as path loss and available bandwidth, as well as for different network roundtrip time values. Using this cross-layer algorithm for sample scenario with a remote text editor, and through experiments based on actual user traces, a reduction of the WNIC energy consumption of up to 36.82% is obtained, without degrading the application’s reactivity.