System and associated methods for network aware dynamic power management

• US 20050190714A1
• Filed: 12/13/2004
• Published: 09/01/2005
• Est. Priority Date: 02/28/2004
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Banginwar, Rajesh P., Gorbatov, Eugene
• Application Number:
  US11/011,209
• Publication Number:
  US 20050190714A1
• Time in Patent Office: Days
• US Class Current: 370/318
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06F 1/3209 Monitoring remote activity, e.g. over telephone lines or network connections
• CPC Class Codes: G06F 1/325 Power saving in peripheral device
• CPC Class Codes: H04W 24/00 Supervisory, monitoring or testing arrangements
• CPC Class Codes: H04W 52/0232 according to average transmission signal activity
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A system and associated methods for network aware, dynamic power management are generally described herein.

Claims

1. A method of reducing power consumption within an electronic device comprising:

monitoring one or more behaviors of one or more applications executing on an electronic device in combination with network performance related thereto; and

dynamically adjusting one or more parameters of a power management strategy to reduce power consumption of a communication subsystem associated with at least a subset of the one or more executing applications while substantially simultaneously limiting communication latency for at least a subset of the executing applications.

2. A method according to claim 1, the element of monitoring comprising:

separating network traffic into different application flows; and

determining a flow'"'"'s current TxRx and RxRx latency upon the receipt of one or more datagrams associated with the flow.

3. A method according to claim 2, wherein the network traffic is separated into different application flows based, at least in part, on information contained within the datagrams comprising the network traffic.

4. A method according to claim 2, the element of dynamically adjusting one or more parameters of a power management strategy comprising:

segmenting TxRx/RxRx latency values into one or more clusters each exhibiting a stable distribution of latencies; and

within each cluster, performing statistical analysis on the cluster to develop tolerance limits, from which a model of expected future TxRx/RxRx latency is predicted.

5. A method according to claim 4, wherein the parameters of the power management strategy include one or more of a transmit timeout value, a receive timeout value and/or a snooze interval value.

6. A method according to claim 5, further comprising:

estimating one or more of transmit timeout and/or receive timeout values based, at least in part, on expected future TxRx/RxRx latency, wherein transmit timeout is a measure of the amount of time a communication subsystem is to remain in an active state after transmitting a datagram, wherein receive timeout is a measure of the amount of time a communication subsystem is to remain in an active state after receiving a datagram, and the snooze interval is a pattern denoting the frequency at which a communication subsystem is to awaken from an inactive state to an active state to monitor the network for traffic bound for a host electronic device.

7. A method according to claim 6, wherein adjusting one or more power management parameters further includes:

determining which application flows are currently active; and

updating one or more of the transmit timeout, receive timeout and snooze interval value(s) based, at least in part, on the determination of flow activity and expected flow latency.

8. A storage medium comprising content which, when executed by an accessing device, causes the device to implement a method according to claim 1.

9. An electronic device comprising:

a communication subsystem through which the electronic device can establish communications with a remote device; and

a power management agent, coupled with the communication subsystem, to monitor one or more behaviors of one or more applications executing on an electronic device in combination with network performance related thereto, and to dynamically adjust one or more parameters of a power management strategy to reduce power consumption of a communication subsystem associated with at least a subset of the one or more executing applications while limiting communication latency for at least a subset of the executing applications.

10. An electronic device according to claim 9, the PMA comprising:

a network monitor, to separate network traffic into different application flows, and to determine a flow'"'"'s current TxRx and RxRx latency upon the receipt of one or more datagrams associated with the flow.

11. An electronic device according to claim 10, wherein the network monitor separates network traffic into different application flows based, at least in part, on information contained within the datagrams comprising the network traffic.

12. An electronic device according to claim 10, the PMA further comprising:

a modeling engine, responsive to the network monitor, to segment TxRx/RxRx latency values into one or more clusters each exhibiting a stable distribution of latencies, and within each cluster, to perform statistical analysis on the cluster to develop tolerance limits, from which a model of expected future TxRx/RxRx latency is predicted.

13. An electronic device according to claim 12, wherein the parameters of the power management strategy include one or more of a transmit timeout value, a receive timeout value and/or a snooze interval value.

14. An electronic device according to claim 13, wherein the modeling engine estimates one or more of transmit timeout and/or receive timeout values based, at least in part, on expected future TxRx/RxRx latency, wherein transmit timeout is a measure of the amount of time a communication subsystem is to remain in an active state after transmitting a datagram, wherein receive timeout is a measure of the amount of time a communication subsystem is to remain in an active state after receiving a datagram, and the snooze interval is a pattern denoting the frequency at which a communication subsystem is to awaken from an inactive state to an active state to monitor the network for traffic bound for a host electronic device.

15. An electronic device according to claim 14, wherein the modeling engine determines which application flows are currently active, and dynamically updates one or more of the transmit timeout, receive timeout and snooze interval value(s) based, at least in part, on the determination of flow activity and expected flow latency.

16. A system comprising:

one or more substantially omnidirectional antenna(e);

a communication subsystem through which the electronic device can establish communications with a remote device; and

a power management agent, coupled with the communication subsystem, to monitor one or more behaviors of one or more applications executing on an electronic device in combination with network performance related thereto, and to dynamically adjust one or more parameters of a power management strategy to reduce power consumption of a communication subsystem associated with at least a subset of the one or more executing applications while limiting communication latency for at least a subset of the executing applications.

17. A system according to claim 16, the PMA comprising:

a network monitor, to separate network traffic into different application flows, and to determine a flow'"'"'s current TxRx and RxRx latency upon the receipt of one or more datagrams associated with the flow.

18. A system according to claim 17, wherein the network monitor separates network traffic into different application flows based, at least in part, on information contained within the datagrams comprising the network traffic.

19. A system according to claim 17, the PMA further comprising:

a modeling engine, responsive to the network monitor, to segment TxRx/RxRx latency values into one or more clusters each exhibiting a stable distribution of latencies, and within each cluster, to perform statistical analysis on the cluster to develop tolerance limits, from which a model of expected future TxRx/RxRx latency is predicted.

20. A system according to claim 19, wherein the parameters of the power management strategy include one or more of a transmit timeout value, a receive timeout value and/or a snooze interval value.

21. A system according to claim 20, wherein the modeling engine estimates one or more of transmit timeout, receive timeout and snooze interval values based, at least in part, on expected future TxRx/RxRx latency, wherein transmit timeout is a measure of the amount of time a communication subsystem is to remain in an active state after transmitting a datagram, wherein receive timeout is a measure of the amount of time a communication subsystem is to remain in an active state after receiving a datagram, and the snooze interval is a pattern denoting the frequency at which a communication subsystem is to awaken from an inactive state to an active state to monitor the network for traffic bound for a host electronic device.

22. A system according to claim 21, wherein the modeling engine determines which application flows are currently active, and dynamically updates one or more of the transmit timeout, receive timeout and snooze interval value(s) based, at least in part, on the determination of flow activity and expected flow latency.