The Experts below are selected from a list of 68649 Experts worldwide ranked by ideXlab platform
Anna Brunstrom - One of the best experts on this subject based on the ideXlab platform.
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PoliFi: Airtime Policy Enforcement for WiFi
arXiv: Networking and Internet Architecture, 2019Co-Authors: Toke Høiland-jørgensen, Per Hurtig, Anna BrunstromAbstract:As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network Policy Enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing Policy is challenging. However, as we have shown in previous work, an access point can influence the behaviour of connected devices by changing its scheduling of transmission opportunities, which can be used to achieve airtime fairness. In this work, we show that this mechanism can be extended to successfully enforce airtime usage policies in WiFi networks. We implement this as an extension our previous airtime fairness work, and present PoliFi, the resulting Policy Enforcement system. Our evaluation shows that PoliFi makes it possible to express a range of useful policies. These include prioritisation of specific devices; balancing groups of devices for sharing between different logical networks or network slices; and limiting groups of devices to implement guest networks or other low-priority services. We also show how these can be used to improve the performance of a real-world DASH video streaming application.
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WCNC - PoliFi: Airtime Policy Enforcement for WiFi
2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019Co-Authors: Toke Høiland-jørgensen, Per Hurtig, Anna BrunstromAbstract:As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network Policy Enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing Policy is challenging. However, as we have shown in previous work, an access point can influence the behaviour of connected devices by changing its scheduling of transmission opportunities, which can be used to achieve airtime fairness. In this work, we show that this mechanism can be extended to successfully enforce airtime usage policies in WiFi networks. We implement this as an extension our previous airtime fairness work, and present PoliFi, the resulting Policy Enforcement system. Our evaluation shows that PoliFi makes it possible to express a range of useful policies. These include prioritisation of specific devices; balancing groups of devices for sharing between different logical networks or network slices; and limiting groups of devices to implement guest networks or other low-priority services. We also show how these can be used to improve the performance of a real-world DASH video streaming application.
Toke Høiland-jørgensen - One of the best experts on this subject based on the ideXlab platform.
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PoliFi: Airtime Policy Enforcement for WiFi
arXiv: Networking and Internet Architecture, 2019Co-Authors: Toke Høiland-jørgensen, Per Hurtig, Anna BrunstromAbstract:As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network Policy Enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing Policy is challenging. However, as we have shown in previous work, an access point can influence the behaviour of connected devices by changing its scheduling of transmission opportunities, which can be used to achieve airtime fairness. In this work, we show that this mechanism can be extended to successfully enforce airtime usage policies in WiFi networks. We implement this as an extension our previous airtime fairness work, and present PoliFi, the resulting Policy Enforcement system. Our evaluation shows that PoliFi makes it possible to express a range of useful policies. These include prioritisation of specific devices; balancing groups of devices for sharing between different logical networks or network slices; and limiting groups of devices to implement guest networks or other low-priority services. We also show how these can be used to improve the performance of a real-world DASH video streaming application.
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WCNC - PoliFi: Airtime Policy Enforcement for WiFi
2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019Co-Authors: Toke Høiland-jørgensen, Per Hurtig, Anna BrunstromAbstract:As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network Policy Enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing Policy is challenging. However, as we have shown in previous work, an access point can influence the behaviour of connected devices by changing its scheduling of transmission opportunities, which can be used to achieve airtime fairness. In this work, we show that this mechanism can be extended to successfully enforce airtime usage policies in WiFi networks. We implement this as an extension our previous airtime fairness work, and present PoliFi, the resulting Policy Enforcement system. Our evaluation shows that PoliFi makes it possible to express a range of useful policies. These include prioritisation of specific devices; balancing groups of devices for sharing between different logical networks or network slices; and limiting groups of devices to implement guest networks or other low-priority services. We also show how these can be used to improve the performance of a real-world DASH video streaming application.
Henry Wechsler - One of the best experts on this subject based on the ideXlab platform.
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Alcohol Policy Enforcement and changes in student drinking rates in a statewide public college system: a follow-up study
Substance Abuse Treatment Prevention and Policy, 2010Co-Authors: Sion Kim Harris, Lon Sherritt, Henry Wechsler, Shari Van Hook, John R. KnightAbstract:Background Heavy alcohol use among U.S. college students is a major contributor to young adult morbidity and mortality. The aim of this study was to examine whether college alcohol Policy Enforcement levels predict changes in student drinking and related behaviors in a state system of public colleges and universities, following a system-wide change to a stricter Policy.
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Heavy drinking and alcohol Policy Enforcement in a statewide public college system.
Journal of studies on alcohol, 2003Co-Authors: John R. Knight, Sion Kim Harris, Lon Sherritt, Kathleen Kelley, Shari Van Hook, Henry WechslerAbstract:Objective: To assess the association between heavy drinking and alcohol Policy Enforcement following the institution of a new system-wide alcohol Policy at Massachusetts public colleges and universities. Method: Students (N = 1,252: 59% women) at 11 study schools completed a questionnaire that assessed drinking behaviors and alcohol-associated problems. College deans and campus security officers completed questionnaires assessing Policy implementation and Enforcement. We compared heavy drinking rates among the 11 schools and measured the association between schools' heavy episodic drinking rates and Enforcement index scores based on deans' and security officers' reports of Policy Enforcement. Results: Rates of heavy episodic drinking varied widely among the 11 schools (range: 36%-71%). The percentage of students reporting strict/very strict Policy Enforcement also varied widely (35%-90%). In this small sample of colleges, heavy drinking rates among students living on campus tended to be negatively associa...
Per Hurtig - One of the best experts on this subject based on the ideXlab platform.
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PoliFi: Airtime Policy Enforcement for WiFi
arXiv: Networking and Internet Architecture, 2019Co-Authors: Toke Høiland-jørgensen, Per Hurtig, Anna BrunstromAbstract:As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network Policy Enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing Policy is challenging. However, as we have shown in previous work, an access point can influence the behaviour of connected devices by changing its scheduling of transmission opportunities, which can be used to achieve airtime fairness. In this work, we show that this mechanism can be extended to successfully enforce airtime usage policies in WiFi networks. We implement this as an extension our previous airtime fairness work, and present PoliFi, the resulting Policy Enforcement system. Our evaluation shows that PoliFi makes it possible to express a range of useful policies. These include prioritisation of specific devices; balancing groups of devices for sharing between different logical networks or network slices; and limiting groups of devices to implement guest networks or other low-priority services. We also show how these can be used to improve the performance of a real-world DASH video streaming application.
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WCNC - PoliFi: Airtime Policy Enforcement for WiFi
2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019Co-Authors: Toke Høiland-jørgensen, Per Hurtig, Anna BrunstromAbstract:As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network Policy Enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing Policy is challenging. However, as we have shown in previous work, an access point can influence the behaviour of connected devices by changing its scheduling of transmission opportunities, which can be used to achieve airtime fairness. In this work, we show that this mechanism can be extended to successfully enforce airtime usage policies in WiFi networks. We implement this as an extension our previous airtime fairness work, and present PoliFi, the resulting Policy Enforcement system. Our evaluation shows that PoliFi makes it possible to express a range of useful policies. These include prioritisation of specific devices; balancing groups of devices for sharing between different logical networks or network slices; and limiting groups of devices to implement guest networks or other low-priority services. We also show how these can be used to improve the performance of a real-world DASH video streaming application.
John R. Knight - One of the best experts on this subject based on the ideXlab platform.
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Alcohol Policy Enforcement and changes in student drinking rates in a statewide public college system: a follow-up study
Substance Abuse Treatment Prevention and Policy, 2010Co-Authors: Sion Kim Harris, Lon Sherritt, Henry Wechsler, Shari Van Hook, John R. KnightAbstract:Background Heavy alcohol use among U.S. college students is a major contributor to young adult morbidity and mortality. The aim of this study was to examine whether college alcohol Policy Enforcement levels predict changes in student drinking and related behaviors in a state system of public colleges and universities, following a system-wide change to a stricter Policy.
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Heavy drinking and alcohol Policy Enforcement in a statewide public college system.
Journal of studies on alcohol, 2003Co-Authors: John R. Knight, Sion Kim Harris, Lon Sherritt, Kathleen Kelley, Shari Van Hook, Henry WechslerAbstract:Objective: To assess the association between heavy drinking and alcohol Policy Enforcement following the institution of a new system-wide alcohol Policy at Massachusetts public colleges and universities. Method: Students (N = 1,252: 59% women) at 11 study schools completed a questionnaire that assessed drinking behaviors and alcohol-associated problems. College deans and campus security officers completed questionnaires assessing Policy implementation and Enforcement. We compared heavy drinking rates among the 11 schools and measured the association between schools' heavy episodic drinking rates and Enforcement index scores based on deans' and security officers' reports of Policy Enforcement. Results: Rates of heavy episodic drinking varied widely among the 11 schools (range: 36%-71%). The percentage of students reporting strict/very strict Policy Enforcement also varied widely (35%-90%). In this small sample of colleges, heavy drinking rates among students living on campus tended to be negatively associa...
