CN105323114A - Routing equipment and state adjustment method - Google Patents
Routing equipment and state adjustment method Download PDFInfo
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- CN105323114A CN105323114A CN201410373481.0A CN201410373481A CN105323114A CN 105323114 A CN105323114 A CN 105323114A CN 201410373481 A CN201410373481 A CN 201410373481A CN 105323114 A CN105323114 A CN 105323114A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
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Abstract
The invention discloses routing equipment and a state adjustment method. The routing equipment comprises a configuration module, an obtaining module, a processing module and an adjusting module, wherein the configuration module is used for configuring a corresponding relationship between a use condition and a working state; the obtaining module is used for obtaining first feature information that a user uses data flow within a historical time slot starting from a certain time; the processing module is used for counting and analyzing the first feature information and predicting the use condition of the data flow by the user within a current time slot starting from a certain time; and the adjusting module is used for adjusting the current working state into a working state corresponding to the predicted use condition according to the use condition of the data flow by the user within the current time slot. By means of the technical scheme, the problems that the data flow is excessively consumed and resources are wasted due to the fact that the existing router is in the load operation state for a long time can be solved; the intelligent router can realize self-adaptive variable-frequency operation; the routing equipment disclosed by the invention has high strain capacity and flexibility and an obvious energy-saving effect; and the larger the system scale is, the more obvious the energy saving is.
Description
Technical field
The present invention relates to Intelligent routing field, particularly relate to a kind of routing device and state adjustment method.
Background technology
At present, in the design and operation process of intelligent router, the design of energy-saving control system and cooling system more and more causes the attention of people, wherein, is then one of effective technology of system radiating by fan.
The whole process that intelligent router runs is a dynamic variable, under conventional situation, intelligent router during whole service in, general is all 24 hours round-the-clock high-speed cruisings, substantially load operating region is reached, the wherein time of more than 60%, intelligent router is in peak load running status, data traffic is caused to consume excessively and the wasting of resources (power consumption), meanwhile, during intelligent router high-speed cruising at night, its cooling system is also in operation, this brings noise to user to a certain extent, have impact on the normal rest of user.
Summary of the invention
The invention provides a kind of routing device and state adjustment method, solve existing intelligent router and be in load operating region for a long time, cause data traffic to consume the problem with the wasting of resources excessively.
For solving the problems of the technologies described above, the present invention by the following technical solutions:
A kind of routing device, comprising:
Configuration module, for configuring the corresponding relation between service condition and operating state;
Acquisition module, for obtaining the fisrt feature information of user's usage data flow in the historical time section started with a certain moment;
Processing module, the fisrt feature information for obtaining described acquisition module is carried out adding up and is analyzed, and predicts that user is to the service condition of data traffic in the current slot started with the described a certain moment;
Adjusting module, for user in the current slot predicted according to described processing module to the service condition of data traffic, is adjusted to the operating state corresponding with the service condition of described prediction by current operating state.
In an embodiment of the present invention, described acquisition module, specifically in the described historical time section started with a certain moment, by calling data traffic monitoring instruction, obtains the fisrt feature information of user's usage data flow in current slot
In an embodiment of the present invention, described processing module comprises and determines submodule;
Describedly determining that submodule is for carrying out adding up to described fisrt feature information and analyze, determining the size of usage data flow in the historical time section that user starts with the described a certain moment at least one sky in the past;
Described processing module specifically for the size according to described data traffic, the size of usage data flow in the current slot that prediction user same day started with the described a certain moment.
In an embodiment of the present invention
Described configuration module is also for the corresponding relation between the size of configuration data flow and rotation speed of the fan gear;
Described adjusting module, specifically for the size according to described data traffic, regulates the rotating speed gear of fan.
In an embodiment of the present invention, also judge module is comprised;
Described acquisition module is also for obtaining the second feature information of user's usage data flow in the current slot started with the described a certain moment;
The second feature information of described processing module also for obtaining described acquisition module is carried out adding up and is analyzed, and determines that user is to the service condition of data traffic in the current slot started with the described a certain moment;
Whether described judge module is identical with the described service condition doped for the service condition judging described processing module and determine;
If described adjusting module is also judged not identical for described judge module, current operating state is adjusted to the operating state corresponding with the described service condition determined.
A kind of state adjustment method, comprising:
Corresponding relation between configuration service condition and operating state;
Obtain the fisrt feature information of user's usage data flow in the historical time section started with a certain moment;
Carry out adding up to described fisrt feature information and analyze, predicting that user is to the service condition of data traffic in the current slot started with the described a certain moment;
According to user in described current slot to the service condition of data traffic, current operating state is adjusted to the operating state corresponding with the service condition of described prediction.
In an embodiment of the present invention, the fisrt feature information obtaining user's usage data flow in the historical time section started with a certain moment specifically comprises:
In the described historical time section started with a certain moment, by calling data traffic monitoring instruction, obtain the fisrt feature information of user's usage data flow in current slot.
In an embodiment of the present invention, carry out adding up to described fisrt feature information and analyze, predicting that the service condition of user to data traffic specifically comprises in the current slot started with the described a certain moment:
Carry out adding up and analyze to described fisrt feature information, determine the size of usage data flow in the historical time section that user starts with the described a certain moment at least one sky in the past;
According to the size of described data traffic, the size of usage data flow in the current slot that prediction user same day started with the described a certain moment.
In an embodiment of the present invention, according to user in described current slot to the service condition of data traffic, the operating state in the described current same time period is adjusted to the operating state corresponding with described service condition and specifically comprises:
Corresponding relation between the size of configuration data flow and rotation speed of the fan gear;
According to the size of described data traffic, regulate the rotating speed gear of fan.
In an embodiment of the present invention, according to user in described current slot to the service condition of data traffic, after the operating state in the described current same time period is adjusted to the operating state corresponding with described service condition, also comprise:
Obtain the second feature information of user's usage data flow in the current slot started with the described a certain moment;
Carry out adding up to described second feature information and analyze, determining that user is to the service condition of data traffic in the current slot started with the described a certain moment;
Judge that whether the described service condition determined is identical with the described service condition doped, if not identical, then according to the described service condition determined, current operating state is adjusted to the operating state corresponding with the described service condition determined, otherwise, current operating state is not adjusted.
Beneficial effect of the present invention:
The invention provides a kind of routing device and state adjustment method, intelligent router is by processing user's fisrt feature information of usage data flow in historical time section, predict that in the current same time period, user is to the service condition of data traffic, and the operating state in the current same time period is adjusted, be self-adapting frequency conversion intelligent system by this self-adapting frequency conversion intelligent router system definition, the intelligent router of this self-adapting frequency conversion mode has obvious advantage compared with conventional router, the self-adapting frequency conversion that it can realize truly smoothly runs, there is very high adaptability to changes and flexibility, run by self-adapting frequency conversion and provide quality data communication service to user, realize utilizing Internet resources efficiently, what is more important, it has obvious energy-saving effect, system scale is larger, the stability of a system is better, energy-saving effect is more obvious, stablizing from system, the viewpoint of energy-conservation and sustainable development, this system all has general Practical significance.
Accompanying drawing explanation
The flow chart of the state adjustment method that Fig. 1 provides for one embodiment of the invention;
The schematic diagram of the bottom flow data statistics that Fig. 2 provides for one embodiment of the invention;
The structural representation of the intelligent router inside that Fig. 3 provides for one embodiment of the invention;
The structural representation of the routing device that Fig. 4 provides for one embodiment of the invention;
The schematic diagram of user interface in a kind of application scenarios that Fig. 5 provides for one embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is a part of embodiment in the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
By reference to the accompanying drawings the present invention is described in further detail below by embodiment.
As the flow chart of the state adjustment method that Fig. 1 provides for one embodiment of the invention, as shown in Figure 1, this state adjustment method comprises:
S101: the corresponding relation between configuration service condition and operating state;
Particularly, due to traditionally, router substantially all reaches load operating region within the whole service cycle, cause consuming excessively and the wasting of resources of data traffic thus, and under load operating region, cooling system (fan) can bring serious noise to user, thus, self-adapting frequency conversion intelligent router needs the characteristic information according to user's usage data flow, the working operating mode of self-adaptative adjustment oneself.
Because router is in load operating region for a long time, in order to according to the actual requirements, the operating state of adjustment router, then need configure user to the corresponding relation between the service condition of data traffic and operating state, this user is to the size of the service condition of data traffic including, but not limited to user's usage data flow, according to the size of user's usage data flow, router can be adjusted to corresponding operating state; It should be noted that, only need, before carrying out adding up to the characteristic information of user in the historical time section started with a certain moment and analyzing, to configure this corresponding relation.
S102: the fisrt feature information obtaining user's usage data flow in the historical time section started with a certain moment;
Particularly, the fisrt feature information obtaining user usage data flow in the historical time section started with a certain moment is including, but not limited to under type: in the historical time section started with a certain moment, by calling data traffic monitoring instruction, can obtain the fisrt feature information of user's usage data flow in current slot, this fisrt feature information is including, but not limited to cycle of user's usage data flow and/or frequency.
As the schematic diagram that Fig. 2 is the traffic statistics of intelligent router bottom data, as shown in Figure 2, in underlying protocol, need the minimum flow data that the list of the current application of networking of maintenance one and other corresponding module provide, this list is traversal PID (ProcessIdentity, process identification (PID)) get, the operation of additions and deletions can be carried out, one is provided for display list to observer, it mainly comprises the list of refreshing working application, obtain working application quantity, obtain working application networking protocol, obtain working application local message, obtain working application remote message, obtain application two class network traffics and obtain system two class network traffics, therefore, the fisrt feature information of at least one bottom data flow in above-mentioned list can be obtained.
Adaptive flow monitoring utilizes RTCP (Real-timeTransportControlProtocol, RTCP Real-time Transport Control Protocol) as feedback information agreement, on the basis of introducing integrated forecasting amount, adopt the transmission speed that method adjustment RTP (Real-timeTransportProtocol, RTP) becoming constant growth and become constant minimizing flows.Wherein integrated forecasting amount, reflects the acceptance level of user to network state.Traffic monitoring algorithm has very important status in real time business, on the basis of research RTP/RTCP agreement, by introducing integrated forecasting amount, devises a kind of traffic monitoring algorithm (instruction), and this algorithm employs and becomes constant growth.
In technique scheme, this traffic monitoring instruction comprises getMobileRxBytes method, getTotalRxBytes method or getUidRxBytes method;
(1) for getMobileRxBytes method, in the historical time section started with a certain moment, it obtains and what add up is from opening network, to the Gprs/3G network traffic data of closing network and terminating to use in this period of time;
(2) for getTotalRxBytes method, in the historical time section started with a certain moment, it obtains and what add up is from opening network, to total network traffic data of closing network and terminate Gprs/3G and Wifi used in this period of time;
Such as, network is opened at 10, network is closed at 11, then for getMobileRxBytes method, what it obtained is during this period of time in the byte number that receives of Gprs/3G, for getTotalRxBytes method, what it obtained is during this period of time in total byte number of receiving of Gprs/3G and Wifi.
(3) for getUidRxBytes method, in the historical time section started with a certain moment, its obtain and add up be from start to shutdown, certain network UID (UserIdentification, user identity proves) network traffic data, i.e. the network traffic data of certain network application.
In technique scheme, utilize SQLITE database as data storage method, be mainly used to store data required in traffic monitoring, such as, its content stored comprise single application by hour in units of the data traffic that consumes, according to the moon, sky, day, time etc. the data traffic that consumes for unit of dimension.In addition, traffic monitoring can also by the file of continuous reading system, the situation of real time record, displaying flow.
S103: carry out adding up to fisrt feature information and analyze, predicting that user is to the service condition of data traffic in the current slot started with a certain moment;
Particularly, as the structural representation that Fig. 3 is intelligent router inside, when passing through monitoring bottom data flow, after obtaining the fisrt feature information of user's usage data flow in the historical time section started with a certain moment, this fisrt feature information reporting is processed to upper strata (application layer), according to processing the result that obtains, to dope in the current slot that starts with a certain moment user to the service condition of data traffic.
In technique scheme, by carrying out adding up to fisrt feature information and analyzing, can determine that user is at least one sky in the past, the size of usage data flow in the historical time section started with a certain moment, according to the size of this data traffic, just can predict the size of user's usage data flow in the current slot started with a certain moment same day, such as, by carrying out adding up to fisrt feature information and analyzing, determine user in five days in the past between 10 o'clock to 11 o'clock the size of usage data flow, then according to the size of data traffic in this historical time section, just can dope the size of the user's today of usage data flow between 10 o'clock to 11 o'clock.
(1) by statistics and analysis, if judge in the historical time section started with a certain moment, the Gprs/3G data traffic that user uses, the data traffic of Gprs/3G+Wifi data traffic or certain network application are larger, then measurable go out in the current slot started with a certain moment, user use data traffic larger;
(2) by statistics and analysis, if judge in the historical time section started with a certain moment, the Gprs/3G data traffic that user uses, the data traffic of Gprs/3G+Wifi data traffic or certain network application are less, then measurable go out in the current slot started with a certain moment, user use data traffic less;
(3) by statistics and analysis, if judge in the historical time section started with a certain moment, user does not use the data traffic of Gprs/3G data traffic, Gprs/3G+Wifi data traffic or certain network application, then measurable go out in the current slot started with a certain moment, user does not have usage data flow.
S104: according to the service condition of user in current slot to data traffic, current operating state is adjusted to the operating state corresponding with the service condition predicted.
Particularly, when doping in the current slot started with a certain moment, user is to after the service condition of data traffic, can according to this service condition, operating state in the current slot started with a certain moment is adjusted, operating state is adjusted to the operating state corresponding with the service condition predicted, as according to service condition, operating state is adjusted accordingly, operating state after adjustment is including, but not limited to fast mode, standby mode or sleep pattern, and according to corresponding pattern, adjustment cooling system, namely adjusts fan.
In technique scheme, in order to control fan better, then can corresponding relation between the size of configuration data flow and rotation speed of the fan gear, according to the size of user's usage data flow, the i.e. rotating speed gear of adjustable fan, the noise problem brought to avoid fan.
In technique scheme, if in the historical time section started with a certain moment, user to the use of data traffic including, but not limited to following several situation: user's usage data flow is comparatively large, user's usage data flow is less or user does not have usage data flow.
(1) by determining in the historical time section started with a certain moment, the size of user's usage data flow, if dope in the current slot started with a certain moment, user's usage data flow is larger, namely now need to be in peak load running status, then, in current slot, operating state is adjusted to fast state, open fan further, fan is adjusted to high speed operating mode;
(2) by determining in the historical time section started with a certain moment, the size of user's usage data flow, if dope in the current slot started with a certain moment, user's usage data flow is less, namely now do not need to be in peak load running status, then, in current slot, operating state is adjusted to lower-speed state, open fan further, fan is adjusted to low speed operating mode;
(3) by determining in the historical time section started with a certain moment, the size of user's usage data flow, if dope in the current slot started with a certain moment, user does not have usage data flow, namely now do not need to be in load operating region, then in current slot, operating state is adjusted to holding state or sleep state, closes fan further.
In the present embodiment, according to user in the historical time section started with a certain moment to the service condition of data traffic, operating state in the current slot started with a certain moment is adjusted accordingly, as in the historical time section started with a certain moment, user does not have usage data flow, then the operating state in the current slot started with a certain moment is adjusted to holding state or sleep state, but, if user now needs usage data flow, therefore, need to combine the situation of user's usage data flow in the current slot that starts with a certain moment, operating state in the current slot started with a certain moment is adjusted, to adapt to the demand of user, therefore, also need the second feature information obtaining user's usage data flow in the current slot started with a certain moment, this second feature information is including, but not limited to cycle of user's usage data flow and/or frequency, carry out adding up to this second feature information and analyze, determine that user is to the service condition of data traffic in the current slot started with a certain moment, judge that whether the service condition determined is identical with the service condition doped, if both are not identical, then need the service condition according to determining, operating state is adjusted to the operating state corresponding with the service condition determined again, otherwise, operating state is not adjusted, the operating state doped before continuing to keep, such as, in the historical time section started with a certain moment, user does not have usage data flow, thus dope in the current slot that starts with a certain moment, user does not have usage data flow, thus operating state is adjusted to holding state or sleep state, if now user is at usage data flow, holding state or sleep state is then needed to be adjusted to fast state, therefore, when passing through statistics and analyzing, when in the current slot started with a certain moment determining to get, user's usage data flow is more, because now system is in holding state or sleep state, holding state adjustment or sleep state is then needed to be adjusted to fast state, to meet the demand of user.
Self-adapting intelligent router is a kind of based on application, network intelligence and policy criteria monitoring and net control use, beat in intelligent network by the cooperation of each networking component, each networking component transports the information about the different aspect of network operation, and self-adapting frequency conversion router utilizes the characteristic information following the tracks of user's usage data flow to carry out self adaptation land productivity Internet resources.Self-adapting frequency conversion intelligent router monitor and net control time can to consider in following factor one or more: the frequency of user's type of service, time in one day, use, user experience quality and SLA and other configurable standard, by above-mentioned factor, allow Internet Service Provider by based on real time data load information for user adaptively selection strategy more efficiently utilize the network bandwidth, this flexibility can save Internet resources and electric cost.
As the structural representation of the routing device that Fig. 4 provides for one embodiment of the invention, as shown in Figure 4, this routing device comprises:
Configuration module 1, for configuring the corresponding relation between service condition and operating state;
Acquisition module 2, for obtaining the fisrt feature information of user's usage data flow in the historical time section started with a certain moment;
Processing module 3, the fisrt feature information for obtaining acquisition module 1 is carried out adding up and is analyzed, and predicts that user is to the service condition of data traffic in the current slot started with a certain moment;
Adjusting module 4, for user in the current slot predicted according to processing module 3 to the service condition of data traffic, is adjusted to the operating state corresponding with the service condition predicted by current operating state.
Particularly, because router is in load operating region for a long time, in order to according to the actual requirements, the operating state of adjustment router, then configuration module 1 needs configure user to the corresponding relation between the service condition of data traffic and operating state, router, to the size of the service condition of data traffic including, but not limited to user's usage data flow, according to the size of user's usage data flow, can be adjusted to corresponding operating state by this user.
In the present embodiment, in the historical time section started with a certain moment, acquisition module 2 is by calling data traffic monitoring instruction, can obtain the fisrt feature information of user's usage data flow in current slot, this fisrt feature information is including, but not limited to cycle of user's usage data flow and/or frequency.
In technique scheme, this traffic monitoring instruction that acquisition module 2 calls comprises getMobileRxBytes method, getTotalRxBytes method or getUidRxBytes method;
(1) for getMobileRxBytes method, in the historical time section started with a certain moment, acquisition module 2 obtains and what add up is from opening network, to the Gprs/3G network traffic data of closing network and terminating to use in this period of time;
(2) for getTotalRxBytes method, in the historical time section started with a certain moment, acquisition module 2 obtains and what add up is from opening network, to total network traffic data of closing network and terminate Gprs/3G and Wifi used in this period of time;
Such as, network is opened at 10, network is closed at 11, then for getMobileRxBytes method, what acquisition module 2 obtained is during this period of time in the byte number that receives of Gprs/3G, for getTotalRxBytes method, what acquisition module 2 obtained is during this period of time in total byte number of receiving of Gprs/3G and Wifi.
(3) for getUidRxBytes method, in the historical time section started with a certain moment, acquisition module 2 obtain and add up be from start to shutdown, certain network UID (UserIdentification, user identity proves) network traffic data, i.e. the network traffic data of certain network application.
When passing through monitoring bottom data flow, after acquisition module 2 obtains the fisrt feature information of user's usage data flow in the historical time section started with a certain moment, this fisrt feature information reporting is processed to upper strata (application layer), according to processing the result that obtains, processing module 3 to dope in current slot user to the service condition of data traffic.
In technique scheme, processing module 3 comprises determines submodule 31, determine that submodule 31 is by carrying out adding up to fisrt feature information and analyzing, can determine that user is at least one sky in the past, the size of usage data flow in the historical time section started with a certain moment, processing module 3 according to the size of this data traffic, just can predict the size of user's usage data flow in the current slot started with a certain moment same day.
(1) by statistics and analysis, if determine, submodule 31 is determined in the historical time section started with a certain moment, the Gprs/3G data traffic that user uses, the data traffic of Gprs/3G+Wifi data traffic or certain network application are larger, processing module 3 can dope in the current slot started with a certain moment, and the data traffic that user uses is larger;
(2) by statistics and analysis, if determine, submodule 31 is determined in the historical time section started with a certain moment, the Gprs/3G data traffic that user uses, the data traffic of Gprs/3G+Wifi data traffic or certain network application are less, processing module 3 can dope in the current slot started with a certain moment, and the data traffic that user uses is less;
(3) by statistics and analysis, if determine, submodule 31 is determined in the historical time section started with a certain moment, user does not use the data traffic of Gprs/3G data traffic, Gprs/3G+Wifi data traffic or certain network application, processing module 3 can dope in the current slot started with a certain moment, and user does not have usage data flow.
When processing module 3 dopes in the current slot started with a certain moment, user is to after the service condition of data traffic, adjusting module 4 can according to this service condition, operating state in the current slot started with a certain moment is adjusted, operating state is adjusted to the operating state corresponding with the service condition predicted, as according to service condition, operating state is adjusted accordingly, operating state after adjustment is including, but not limited to fast mode, standby mode or sleep pattern, and according to corresponding pattern, adjustment cooling system, namely adjusts fan.
In technique scheme, in order to control fan better, corresponding relation between the size of all right configuration data flow of configuration module 1 and rotation speed of the fan gear, adjusting module 4 is according to the size of user's usage data flow, the i.e. rotating speed gear of adjustable fan, the noise problem brought to avoid fan.
If in the historical time section at a time started, user to the use of data traffic including, but not limited to following several situation: user's usage data flow is comparatively large, user's usage data flow is less or user does not have usage data flow.
(1) determine that submodule 31 is by determining in the historical time section started with a certain moment, the size of user's usage data flow, if processing module 3 dopes in the current slot started with a certain moment, user's usage data flow is larger, namely now need to be in peak load running status, operating state, in current slot, is adjusted to fast state by adjusting module 4, open fan further, fan is adjusted to high speed operating mode;
(2) determine that submodule 31 is by determining in the historical time section started with a certain moment, the size of user's usage data flow, if processing module 3 dopes in the current slot started with a certain moment, user's usage data flow is less, does not namely now need to be in peak load running status, adjusting module 4 is in current slot, operating state is adjusted to lower-speed state, opens fan further, fan is adjusted to low speed operating mode, or, directly close fan;
(3) determine that submodule 31 is by determining in the historical time section started with a certain moment, the size of user's usage data flow, if processing module 3 dopes in the current slot started with a certain moment, user does not have usage data flow, namely now do not need to be in load operating region, operating state, in current slot, is adjusted to holding state or sleep state, closes fan further by adjusting module 4.
In the present embodiment, also comprise judge module 5, adjusting module 4 according to user in the historical time section started with a certain moment to the service condition of data traffic, operating state in the current slot started with a certain moment is adjusted accordingly, as in the historical time section started with a certain moment, user does not have usage data flow, operating state in the current slot started with a certain moment is adjusted to holding state or sleep state by adjusting module 4, but, if user now needs usage data flow, therefore, need to combine the situation of user's usage data flow in the current slot that starts with a certain moment, operating state in the current slot started with a certain moment is adjusted, to adapt to the demand of user, therefore, acquisition module 2 also needs the second feature information obtaining user's usage data flow in the current slot started with a certain moment, processing module 3 is carried out adding up to this second feature information and is analyzed, determine that user is to the service condition of data traffic in the current slot started with a certain moment, judge module 5 judges that whether the service condition determined is identical with the service condition doped, if both are not identical, then adjusting module 4 needs according to the service condition of user in current slot to data traffic, operating state is adjusted to the operating state corresponding with the service condition determined again, otherwise, operating state is not adjusted, the operating state doped before continuing to keep.
By above technical scheme, it is mainly used in following scene:
(1) application scenarios 1: this routing device can obtain when user uses network data traffic life cycle and/or frequency of utilization, internal system automatically can be analyzed life cycle and/or frequency of utilization and add up, after data record and time management are analyzed, it is larger or less at which time period usage data flow that system just can dope user, at this moment, system is according to analysis result, adjust the operational mode corresponding with this period, namely routing device is allowed which kind of to be in (at a high speed, standby, sleep) operational mode, in addition, system can also be predicted in certain time period, routing device needs to be in which kind of operational mode, as night is in sleep pattern, weekend and evening are in high speed operation mode etc.
Such as: user is in the time at night, and the time that may surf the Net is many, at this moment intelligent router according to information analysis and will calculate this period, needs high speed operation mode; When user's period at dead of night, may be in the rest period, so according to information analysis, now intelligent router needs to be in sleep or standby mode.
(2) application scenarios 2: if Fig. 5 is the schematic diagram of user interface in this application scenarios, as shown in Figure 5, by carrying out management and control to each application, makes rational use of resources.According to the different demands of user, different time sections can allow routing device enter different operational modes, namely in some time periods, routing device can according to the stream quantitative statistics of user's usage data and analysis in history same time section in the past, prediction is within this time period, user will why, and such routing device can according to the use habit of user, and prediction enters corresponding operational mode.
Such as, in some time periods, user may be in off-line downloading mode, and now, intelligent router can, according to the analysis result of now system, make it enter high-speed downloads pattern; Or in some time periods, user may be in entertainment mode, now, intelligent router can, according to the analysis result of now system, make it enter entertainment mode.
(3) application scenarios 3: play province's electro ultrafiltration.When night's rest, user does not use intelligent router substantially, and so routing device is by statistics and analysis, can automatically enter sleep pattern or standby mode, also can close cooling system simultaneously, namely close fan, thus can not noise be produced, affect user and normally have a rest.
Above content is in conjunction with concrete execution mode further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, some simple deduction or replace can also be made, all should be considered as belonging to protection scope of the present invention.
Claims (10)
1. a routing device, is characterized in that, comprising:
Configuration module, for configuring the corresponding relation between service condition and operating state;
Acquisition module, for obtaining the fisrt feature information of user's usage data flow in the historical time section started with a certain moment;
Processing module, the fisrt feature information for obtaining described acquisition module is carried out adding up and is analyzed, and predicts that user is to the service condition of data traffic in the current slot started with the described a certain moment;
Adjusting module, for user in the current slot predicted according to described processing module to the service condition of data traffic, is adjusted to the operating state corresponding with the service condition of described prediction by current operating state.
2. routing device according to claim 1, it is characterized in that, described acquisition module, specifically in the described historical time section started with a certain moment, by calling data traffic monitoring instruction, obtains the fisrt feature information of user's usage data flow in current slot.
3. routing device according to claim 1, is characterized in that, described processing module comprises determines submodule;
Describedly determining that submodule is for carrying out adding up to described fisrt feature information and analyze, determining the size of usage data flow in the historical time section that user starts with the described a certain moment at least one sky in the past;
Described processing module specifically for the size according to described data traffic, the size of usage data flow in the current slot that prediction user same day started with the described a certain moment.
4. routing device according to claim 3, is characterized in that,
Described configuration module is also for the corresponding relation between the size of configuration data flow and rotation speed of the fan gear;
Described adjusting module, specifically for the size according to described data traffic, regulates the rotating speed gear of fan.
5. the routing device according to any one of claim 1-4, is characterized in that, also comprises judge module;
Described acquisition module is also for obtaining the second feature information of user's usage data flow in the current slot started with the described a certain moment;
The second feature information of described processing module also for obtaining described acquisition module is carried out adding up and is analyzed, and determines that user is to the service condition of data traffic in the current slot started with the described a certain moment;
Whether described judge module is identical with the described service condition doped for the service condition judging described processing module and determine;
If described adjusting module is also judged not identical for described judge module, current operating state is adjusted to the operating state corresponding with the described service condition determined.
6. a state adjustment method, is characterized in that, comprising:
Corresponding relation between configuration service condition and operating state;
Obtain the fisrt feature information of user's usage data flow in the historical time section started with a certain moment;
Carry out adding up to described fisrt feature information and analyze, predicting that user is to the service condition of data traffic in the current slot started with the described a certain moment;
According to user in described current slot to the service condition of data traffic, current operating state is adjusted to the operating state corresponding with the service condition of described prediction.
7. state adjustment method according to claim 6, is characterized in that, the fisrt feature information obtaining user's usage data flow in the historical time section started with a certain moment specifically comprises:
In the described historical time section started with a certain moment, by calling data traffic monitoring instruction, obtain the fisrt feature information of user's usage data flow in current slot.
8. state adjustment method according to claim 6, is characterized in that, carries out adding up and analyzes, predict that the service condition of user to data traffic specifically comprises in the current slot started with the described a certain moment to described fisrt feature information:
Carry out adding up and analyze to described fisrt feature information, determine the size of usage data flow in the historical time section that user starts with the described a certain moment at least one sky in the past;
According to the size of described data traffic, the size of usage data flow in the current slot that prediction user same day started with the described a certain moment.
9. state adjustment method according to claim 8, it is characterized in that, according to user in described current slot to the service condition of data traffic, the operating state in the described current same time period is adjusted to the operating state corresponding with described service condition and specifically comprises:
Corresponding relation between the size of configuration data flow and rotation speed of the fan gear;
According to the size of described data traffic, regulate the rotating speed gear of fan.
10. the state adjustment method according to any one of claim 6-9, it is characterized in that, according to user in described current slot to the service condition of data traffic, after operating state in the described current same time period is adjusted to the operating state corresponding with described service condition, also comprise:
Obtain the second feature information of user's usage data flow in the current slot started with the described a certain moment;
Carry out adding up to described second feature information and analyze, determining that user is to the service condition of data traffic in the current slot started with the described a certain moment;
Judge that whether the described service condition determined is identical with the described service condition doped, if not identical, then according to the described service condition determined, current operating state is adjusted to the operating state corresponding with the described service condition determined, otherwise, current operating state is not adjusted.
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