CN101895974B - Control method and system for operating mode of wireless network card - Google Patents
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Abstract
The invention discloses a control method and a control system for the operating mode of a wireless network card, and relates to power consumption technology of the wireless network card. In the system, a user behavior analysis module performs merge operation on input events recorded by an application program agent module, determines a characteristic vector group corresponding to the input events after the merge operation and transmits the determined characteristic vector group to a network card mode prediction module; and the network card mode prediction module judges whether a network data flow mode corresponding to the received characteristic vector group is searched by a DTW algorithm, selects the operating mode of the wireless network card according to the searched network data flow mode if the network data flow mode is searched and if the network data flow mode is not searched, determines and saves the correspondence between the received characteristic vector group and the network data flow mode by the DTW algorithm according to statistical data information recorded by the network data flow agent module. Through the technical scheme of the invention, the operating mode of the wireless network card can be reasonably scheduled, so that low power consumption and low delay of the wireless network card are ensured.
Description
Technical field
The present invention relates to control method and the system of a kind of power consumption technology of wireless network card, particularly a kind of operating mode of wireless network card.
Background technology
The develop rapidly of wireless network and mobile device provides an available network environment whenever and wherever possible for people.Moved the interactive application software that a large amount of use wireless network cards communicates on the existing mobile device, web applications such as Email and browser.Interactive application is finished calculation task according to user's request usually, so its behavior is subject to the impact of user behavior.The use of interactive application on mobile device further increased the power consumption of mobile device.Mobile device uses Power supply usually, and the existing power supply technology can't satisfy the power consumption demand of mobile device.Gap between the power consumption of battery capacity and electronic equipment increases increasingly, and therefore energy-conservation is the inevitable demand of mobile computing and general fit calculation development, is the important criteria of mobile device software and hardware design.
Radio communication is one of requisite technology of mobile device, however common lot of energy in the process of Wireless Telecom Equipment transmitting and receiving data.Existing studies show that, the power consumption of wireless network card accounts for 10% of high-end mobile device, and often can reach 50% on low side devices.Therefore wireless network card is the critical component of mobile device power saving, and the power consumption that reduces wireless network card is significant for prolonging the mobile device stand-by time.
Research for the wireless network card power-saving technology is varied, in order to reduce power consumption, and the standard power-economizing method that can adopt the IEEE802.11 agreement to provide.The operator scheme of IEEE802.11 acquiescence is to continue listen mode (Continuous Aware Mode, CAM), wireless network card is in higher-energy state always under the CAM pattern, transmits and receive data at any time, can guarantee minimum delay and maximum throughput.The energy saver mode that IEEE802.11 provides (Power Save Mode, PSM) timing wake-up network interface card, whether have transmission request, if having data to transmit then enter the high-energy pattern, otherwise get back to sleep pattern if monitoring, and PSM can reduce system energy consumption effectively.But existing evaluation result shows, with network interface card static be set under any state all flexibly balanced power consumption and performance two aspect targets: CAM pattern power consumption expense is larger, and the PSM pattern may increase operating lag and affects application performance.
Dynamic energy-saving (BSD, Bounded SlowDown) method combines the advantage of CAM and PSM, in the transmission of CAM Pattern completion high band wide data, is arranged on the PSM pattern after the end of transmission to save energy.The BSD method is to MAC (Media Access Control, media interviews control) improvement of layer power management mechanism, purpose is under the prerequisite that as far as possible reduces power consumption, RTT (the Round-Trip Time that will be caused by PSM, round-trip delay) time-delay is controlled in the given scope, and this given scope is controlled by parameter p.In this agreement, parameter p is actually a compromise point of power consumption and delay, and the value of p is larger, and power consumption is less, postpones larger; The value of p is less, and power consumption is larger, postpones less.This agreement is for fear of the transmission delay that is caused by PSM, after network interface card sends data, no matter whether the free time all keeps reviving higher-energy state within preset time always, during this period of time, change sleep over to, dynamic listen for beacons frame subsequently, rather than each beacon interval can be revived.The shortcoming of BSD method is not utilize the information of application program, so its conservative energy-saving scheme energy-saving effect is limited, and the BSD method need to revise the IEEE802.11b agreement, for specific implementation has been brought difficulty.
Than the dynamic energy-saving technology of bottom, the dynamic energy saving method of application driven has utilized the information of application program to Internet Use, can better meet performance and the power consumption demand of application program.STPM (Self-Tuning Power Mangement) is a kind of system-level dynamic energy-saving scheme, infers following network data flow according to the clue that application program provides, and has both reduced the power consumption of system, has guaranteed again the delay performance of application program.But the STPM method is not suitable for the interactive application of the request/response type that comprises user's think time, and needs terminal use's assistance and the modification of application programs.
The target of wireless network card energy-saving scheme is the balance that realizes between power consumption and the performance, normally in transmission course with Network card setup in the high-energy pattern, at one's leisure with Network card setup at low-power consumption mode.A key issue in the energy-saving scheme is exactly when to switch network card status and in the required lasting time of corresponding state.Existing a lot of Predicting Technique is better to the compute-intensive applications effect, but adopt the method for processing compute-intensive applications to come the interactive application of processing delay sensitivity, do not consider fully and utilize the characteristic of interactive application, the power consumption that tends to reduce the performance of interactive program even can increase interactive application.
Summary of the invention
Technical problem to be solved by this invention is, a kind of control method and system of operating mode of wireless network card is provided, with the application performance that solves existing wireless network card and the equalization problem between the power consumption.
In order to address the above problem, the invention discloses a kind of control system of operating mode of wireless network card, comprise the network data flow proxy module, this wireless network card also comprises Application Agent module, user behavior analysis module and network interface card model prediction module, wherein:
Described network data flow proxy module is for the statistical information of collecting and record network behavior;
Described Application Agent module is used for catching the incoming event of initiating with recording user, and wherein, described incoming event comprises mouse event and KeyEvent;
Described user behavior analysis module, the incoming event that is used for described Application Agent module is recorded carries out union operation, determine the corresponding characteristic vector group of incoming event behind the union operation, and determined characteristic vector group is sent to described network interface card model prediction module;
Described network interface card model prediction module, be used for judging whether to find network data stream mode corresponding to received characteristic vector group by dynamic time warping (DTW) algorithm, if, then the mode of operation according to the network data flow model selection wireless network card that finds is lasting listen mode or energy saver mode, otherwise by the DTW algorithm, and the statistical information that records of described network data flow proxy module is determined and is preserved received characteristic vector group and the corresponding relation of network data stream mode.
Further, in the said system, described user behavior analysis module is carried out union operation to all incoming events that record in the setting-up time, and described union operation comprises that mouse event cluster, mouse event are eliminated and the in pairs merging of incoming event.
Wherein, described user behavior analysis module according to the characteristic vector of each incoming event of union operation, is determined described characteristic vector group.
Described setting-up time is 100 milliseconds.
Described Application Agent module is used for all incoming events that recording user is initiated.
The invention also discloses a kind of control method of operating mode of wireless network card, comprising:
Catch the incoming event of initiating with recording user, the incoming event that records is carried out union operation, determine the corresponding characteristic vector group of incoming event behind the union operation, and judge whether to find network data stream mode corresponding to determined characteristic vector group in this locality by dynamic time warping (DTW) algorithm, if, then the mode of operation according to the network data flow model selection wireless network card that finds is lasting listen mode or energy saver mode, otherwise by the DTW algorithm, and the statistical information of record is determined and is preserved received characteristic vector group and the corresponding relation of network data stream mode, wherein, described incoming event comprises mouse event and KeyEvent.
Further, in the said method, the incoming event that records is carried out union operation to be referred to: all incoming events that record in the setting-up time are carried out union operation, and described union operation comprises that mouse event cluster, mouse event are eliminated and the in pairs merging of incoming event.
Wherein, determine that the corresponding characteristic vector group of incoming event behind the union operation refers to, determine described characteristic vector group according to the characteristic vector of each incoming event of union operation.
Described setting-up time is 100 milliseconds.
The incoming event that recording user is initiated refers to, all incoming events that recording user is initiated.
Technical solution of the present invention can the rational management wireless network card mode of operation, to guarantee wireless network card low-power consumption and low the delay, guarantee simultaneously the high-performance of wireless network card.During especially towards delay-sensitive interactive application scene, adopt technical solution of the present invention to have better effect.
Description of drawings
Fig. 1 is the structural representation of the control system of operating mode of wireless network card provided by the present invention;
Fig. 2 (a) is that the user behavior analysis module is carried out mouse event cluster operation schematic diagram in the system shown in Figure 1;
Fig. 2 (b) is that the user behavior analysis module is carried out paired event merge operation chart in the system shown in Figure 1;
Fig. 2 (c) is the schematic diagram that the user behavior analysis module is carried out one group of incoming event union operation in the system shown in Figure 1;
Fig. 3 is the structural representation between user behavior analysis module and the network interface card model prediction module in the system shown in Figure 1.
Embodiment
Below in conjunction with drawings and the specific embodiments technical scheme of the present invention is described in further detail.
A kind of control system of operating mode of wireless network card can be built in computer system side or wireless network card side, also can be autonomous system, and it is by the control to operating mode of wireless network card, to guarantee the wireless network card low-power consumption, low delay, high-performance.The structure of this system comprises Application Agent module, network data flow proxy module, user behavior analysis module and network interface card model prediction module as shown in Figure 1 at least.
Wherein, Application Agent module: mainly be responsible for catching and recording incoming event (incoming event refers to that namely the user sends to mouse and the KeyEvent of application program);
The record incoming event refers to, generate the record (namely generating the record of mouse and KeyEvent) of incoming event, the Application Agent module can generate respectively for all incoming events of catching the record of incoming event, perhaps only is that critical event generates the incoming event record in the incoming event of catching.
The network data flow proxy module: mainly collect and record the statistical information of network behavior, the data message of adding up comprises the time of data flow and the byte number of transmission;
The user behavior analysis module is used for the incoming event that the application programs proxy module records and carries out union operation, determines the corresponding characteristic vector group of incoming event behind the union operation, and determined characteristic vector group is sent to network interface card model prediction module;
Particularly, the user behavior analysis module, read the record of the incoming event in the Application Agent module, and with (time interval of this setting-up time is shorter in the setting-up time, for example 100 milliseconds) the incoming event of record carry out union operation, incoming event behind the union operation is thought a user interactions event, be identified at last representing the characteristic vector group of the incoming event (being the user interactions event) behind the union operation, wherein, the record of typical incoming event comprises the type (such as mouse event or KeyEvent) of event, the parameter of the Time And Event of event etc.The parameter of KeyEvent comprises the pressing and release movement of scan code, keyboard of keyboard, the parameter of mouse event comprise coordinate position (x, y), the mouse of mouse movement, press and release movement.
Above-mentioned union operation refers to, will be on the time very near one group of incoming event of (for example 100 milliseconds in) as a user interactions event, thereby can be take group as unit (namely take the user interactions event as unit) unified prediction network data flow.This is because the incoming event that the incoming event that computer system is concerned about and user are concerned about does not strictly mate on granularity, for example carry out text when input the user, the input granularity that computer system is concerned about is thinner: its is concerned about is pressing and discharging of certain key; And the fineness ratio that the user is concerned about is thicker: user's operating habit is quick one group of continuous Key stroke event often, then has a break, and judges that consequent response occurs.Like this, the department of computer science's difference of user on incoming event is understood of unifying can be violated input and supposes with the causality between the output, because in finishing one group of Key stroke process, adjacent keystroke interval of events is too short, may also not be able to do in time to be processed and Output rusults by system by previous incoming event, a rear incoming event has just begun.Studies show that for the delay of response time less than 50 to 100 milliseconds, the user is normally imperceptible, event packets then to blanking time the keystroke event less than 100 milliseconds merge, the one group of incoming event that approaches very much on these times is unified prediction as a user interactions event and to their network data stream mode.In the union operation process, comprise the merging of mouse event cluster, mouse event elimination and paired incoming event etc.When comprising mouse event in the incoming event that will carry out union operation in the setting-up time, carry out cluster to mouse event first.Particularly, the user behavior analysis module can utilize the functional unit realization to the cluster operation of mouse event, and the mouse click event that is about on the same functional unit is divided in the class.Wherein, functional unit refers to: the user is by the pre-defined exchange with limiting with software of user interface (being interface mutual between user's homologous ray), the usually corresponding fixing function of each interface building block of interactive program, the interface of corresponding same function forms can think a functional unit.
Three mouse events shown in Fig. 2 (a) for example, be respectively mobile (Move), press (Press) and discharge (Release), parameter according to these three mouse events, the characteristic vector that obtains these three mouse events is as shown in table 1, corresponding same functional unit in the characteristic vector of these three mouse events (namely all the sign of corresponding functional unit is Button-id2) as can be seen from Table 1, so these three mouse events are same class events, need to carry out cluster operation.
Table 1 mouse event and characteristic of correspondence vector thereof
Eliminate mouse event and refer to ignore the unconcerned incoming event of user, the unconcerned incoming event of user is typically the mouse moving event.This is because the mouse moving event has two characteristics: the one, and occurrence frequency is high, and many times produces in the unconscious situation of user, very easily the incoming event of interference user real concern; The 2nd, system is exceedingly fast to the response speed of mouse moving event, has exceeded the scope that the user can perception, and in fact its response time do not affect the impression that the user uses system, therefore from user's angle, and the machine event that can ignore class moves like mouse.
The merging of incoming event refers in pairs, the incoming event that detecting occurs in pairs, and with its merging.Because most events was to occur in pairs when the user inputted by keyboard or mouse, for example left mouse button presses and discharges, and the response of the often whole click event that the user pays close attention to, but not single pressing or release event, and individual event is predicted (because the response of previous Event triggered may by a rear event interrupt) that can't realize often, therefore, need to adopt event merge, to avoid the generation of the problems referred to above.Be the result of the merging of paired incoming event in the present embodiment shown in the table 2.
For example the paired KeyEvent shown in Fig. 2 (b) is respectively and presses (Press) and discharge (Release), and these two KeyEvents need to merge, and merge into one group (Group 2).Particularly, the group sign after the characteristic vector of these two KeyEvents and the merging is as shown in table 2.
Table 2 is characteristic vector and the amalgamation result table of incoming event in pairs
Explanation user behavior analysis module is carried out the process of union operation as an example of one group of KeyEvent shown in Fig. 2 (c) example at last, wherein, one group of KeyEvent is respectively Press Alt, Press F, Release Alt and Release F, these four KeyEvents carry out union operation (namely merging into Group 3), and definite user interactions event corresponding to this group incoming event is and knocks Macintosh " Alt+F " behind the union operation.Wherein, the group sign after the characteristic vector of these four KeyEvents and the merging is as shown in table 3.
The characteristic vector of one group of KeyEvent of table 3 and amalgamation result table
Network interface card model prediction module, be mainly used in when receiving a characteristic vector group of user behavior analysis module transmission at every turn, judge whether to find network data stream mode corresponding to received characteristic vector group by dynamic time warping (DTW), if, then the mode of operation according to the network data flow model selection wireless network card that finds is CAM pattern or PSM pattern, otherwise by the DTW algorithm, and the statistical information that records of network data flow proxy module is determined and is preserved received characteristic vector group and the corresponding relation of network data stream mode, wherein, can utilize prior art to determine the mode of operation of the wireless network card of different network data stream mode institute corresponding selection.In the present embodiment, the structural relation between network interface card model prediction module and the user behavior analysis module as shown in Figure 3.
Particularly, network interface card model prediction module operation mainly can be divided into DTW training process and DTW identifying.
When network interface card model prediction module receives a characteristic vector group that represents a user interactions action in the DTW training process, if judge this user interactions event behavior (being that network interface card model prediction module finds network data stream mode corresponding to received characteristic vector group by the DTW algorithm) of having preserved, then upgrade the identification masterplate, if judging this user interactions event is New Consumers exchange event (being that network interface card model prediction module does not find network data stream mode corresponding to received characteristic vector group by the DTW algorithm), then generate the identification masterplate.
Network interface card model prediction module is in the DTW identifying, calculate characteristic vector group to be identified (being received characteristic vector group) with the similarity between the identification masterplate, from template library, select a masterplate at every turn, if similarity is current the highest, then according to the network behavior model prediction future network pattern of traffic of this masterplate record, otherwise read next masterplate and mate.
Wherein, each identification masterplate of network interface card model prediction module generation comprises characteristic vector group and the corresponding network data stream mode of representative of consumer alternative events.The identification masterplate can be kept on the hard disk, loads template library behind each application program launching, can reduce the training expense behind each program start.Because different application programs produces different separately user interactions behavior and network data flow usually, therefore can for each application program provide an independent template library, when starting application program at every turn, load corresponding template library and get final product.
The below introduces the process of said system control operating mode of wireless network card, by can reach the energy-saving effect of wireless network card to the control of operating mode of wireless network card.
The control system of above-mentioned operating mode of wireless network card is caught the incoming event of initiating with recording user, the incoming event that records is carried out union operation, determine the corresponding characteristic vector group of incoming event behind the union operation, and judge whether to find network data stream mode corresponding to determined characteristic vector group in this locality by the DTW algorithm, if, then the mode of operation according to the network data flow model selection wireless network card that finds is lasting listen mode or energy saver mode, otherwise, by the DTW algorithm, and the statistical information of record is determined and is preserved received characteristic vector group and the corresponding relation of network data stream mode, wherein, incoming event comprises mouse event and KeyEvent.
In the said process, the control system of operating mode of wireless network card is carried out union operation to the incoming event that records and specifically all incoming events that record in the setting-up time (for example 100 milliseconds) is carried out union operation, and union operation can comprise the merging of mouse event cluster, mouse event elimination and paired incoming event etc.
In preferred scheme, all incoming events that the control system of operating mode of wireless network card needs recording user to initiate.
Can find out from above-described embodiment, carry out the analysis of user interactions behavior in the technical solution of the present invention, thereby better understand user's mutual intention, for the network data flow model prediction provides strong foundation, namely guarantee the performance of wireless network card.Simultaneously, the DTW algorithm that the present invention adopts quick and precisely, expense is little is realized the prediction of network data stream mode, has therefore guaranteed the wireless network card low-power consumption, the low delay.
Certainly; the present invention also can have other various embodiments; in the situation that does not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art work as can make according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.
Claims (10)
1. the control system of an operating mode of wireless network card is characterized in that, comprises the network data flow proxy module, and this wireless network card also comprises Application Agent module, user behavior analysis module and network interface card model prediction module, wherein:
Described network data flow proxy module is for the statistical information of collecting and record network behavior;
Described Application Agent module is used for catching the incoming event of initiating with recording user, and wherein, described incoming event comprises mouse event and KeyEvent;
Described user behavior analysis module, the incoming event that is used for described Application Agent module is recorded carries out union operation, determine the corresponding characteristic vector group of incoming event behind the union operation, and determined characteristic vector group is sent to described network interface card model prediction module;
Described network interface card model prediction module, be used for when receiving a characteristic vector group of user behavior analysis module transmission at every turn, judge whether to find network data stream mode corresponding to received characteristic vector group by dynamic time warping (DTW) algorithm, if, then the mode of operation according to the network data flow model selection wireless network card that finds is lasting listen mode or energy saver mode, otherwise by the DTW algorithm, and the statistical information that records of described network data flow proxy module is determined and is preserved received characteristic vector group and the corresponding relation of network data stream mode;
Wherein, judging whether to find network data stream mode corresponding to received characteristic vector group by dynamic time warping (DTW) algorithm refers to:
When network interface card model prediction module receives a characteristic vector group that represents a user interactions action in the DTW training process, if judge this user interactions event behavior of having preserved, represent that then network interface card model prediction module finds network data stream mode corresponding to received characteristic vector group by the DTW algorithm, if judging this user interactions event is New Consumers exchange event, represent that then network interface card model prediction module does not find network data stream mode corresponding to received characteristic vector group by the DTW algorithm.
2. the system as claimed in claim 1 is characterized in that,
Described user behavior analysis module is carried out union operation to all incoming events that record in the setting-up time, and described union operation comprises that mouse event cluster, mouse event are eliminated and the in pairs merging of incoming event.
3. system as claimed in claim 2 is characterized in that,
Described user behavior analysis module according to the characteristic vector of each incoming event of union operation, is determined described characteristic vector group.
4. system as claimed in claim 2 or claim 3 is characterized in that,
Described setting-up time is 100 milliseconds.
5. such as claim 1,2 or 3 described systems, it is characterized in that,
Described Application Agent module is used for all incoming events that recording user is initiated.
6. the control method of an operating mode of wireless network card is characterized in that, the method comprises:
Catch the incoming event of initiating with recording user, the incoming event that records is carried out union operation, determine the corresponding characteristic vector group of incoming event behind the union operation, and when receiving a characteristic vector group of user behavior analysis module transmission at every turn, judge whether to find network data stream mode corresponding to determined characteristic vector group in this locality by dynamic time warping (DTW) algorithm, if, then the mode of operation according to the network data flow model selection wireless network card that finds is lasting listen mode or energy saver mode, otherwise by the DTW algorithm, and the statistical information of record is determined and is preserved received characteristic vector group and the corresponding relation of network data stream mode, wherein, described incoming event comprises mouse event and KeyEvent;
Wherein, judge whether that by dynamic time warping (DTW) algorithm can local find network data stream mode corresponding to determined characteristic vector group refers to:
When network interface card model prediction module receives a characteristic vector group that represents a user interactions action in the DTW training process, if judge this user interactions event behavior of having preserved, represent that then network interface card model prediction module finds network data stream mode corresponding to received characteristic vector group by the DTW algorithm, if judging this user interactions event is New Consumers exchange event, represent that then network interface card model prediction module does not find network data stream mode corresponding to received characteristic vector group by the DTW algorithm.
7. method as claimed in claim 6 is characterized in that,
The incoming event that records is carried out union operation to be referred to: all incoming events that record in the setting-up time are carried out union operation, and described union operation comprises that mouse event cluster, mouse event are eliminated and the in pairs merging of incoming event.
8. method as claimed in claim 7 is characterized in that,
Determine that the corresponding characteristic vector group of incoming event behind the union operation refers to, determine described characteristic vector group according to the characteristic vector of each incoming event of union operation.
9. such as claim 7 or 8 described methods, it is characterized in that,
Described setting-up time is 100 milliseconds.
10. such as claim 6,7 or 8 described methods, it is characterized in that,
The incoming event that recording user is initiated refers to, all incoming events that recording user is initiated.
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