CN105516281A - Low energy consumption and load balance transfer calculating method and device based on mobile cloud environment - Google Patents
Low energy consumption and load balance transfer calculating method and device based on mobile cloud environment Download PDFInfo
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- CN105516281A CN105516281A CN201510865928.0A CN201510865928A CN105516281A CN 105516281 A CN105516281 A CN 105516281A CN 201510865928 A CN201510865928 A CN 201510865928A CN 105516281 A CN105516281 A CN 105516281A
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Abstract
The invention discloses a low energy consumption and load balance transfer calculating method and device based on a mobile cloud environment. Factor values influencing data stream application program division are obtained from a cloud server and a mobile terminal; data stream application programs are divided dynamically through combining with a data stream application program division strategy; the data stream application programs of the mobile terminal are transferred to be executed at the cloud server or the application programs of the cloud server are transferred to be executed at the mobile terminal; the factor values comprise the current load of the cloud server obtained from the cloud server and the current electric quantity, the CPU load, the network bandwidth and the usable memory space obtained from the mobile terminal. Through the scheme of the invention, the energy consumption of the mobile terminal is reduced, the load balance of the mobile terminal and the cloud is realized, simultaneously the throughput capacity of executing the data stream application programs by the mobile terminal is improved, the response time is reduced, and the operation efficiency is improved.
Description
Technical field
The present invention relates to mobile cloud computing technology, particularly relate to a kind of computation migration method based on mobile cloud environment low energy consumption and load balancing in mobile cloud environment.
Background technology
Cloud computing is just promoting IT industry pattern and is changing to service offering mode, and it providing a shared pool can be virtualized, dynamic and configurable and the calculating specification that consigned to the computational resource of client by internet or other available network regulatory requirement.Along with the technology of radio communication and portable set is fast-developing, mobile computing has been dissolved into our in life, and due to ambulant increase, user needs independent operating on the mobile apparatus or accesses long-range mobile applications.Cloud service application in a mobile system brings an emerging mobile computing pattern, is called mobile cloud computing.
Mobile data streaming application uses camera or other transducer by data transfer rate to perform the relevant service of perception usually, as face and object identification, embodies with the reality strengthened on the mobile apparatus.Data-oriented road application program can be divided into many independently assemblies, each assembly completes functions different separately respectively and may have data transmission relations between different assembly, these assemblies can regard subtask one by one as, each subtask can move to high in the clouds and perform, and also can perform in mobile terminal this locality.
Because mobile terminal is easy to use, be easy to carry, more and more data flow application program needs to perform at mobile terminal, but a lot of application program can not effectively operate due to mobile device cpu performance or energy restriction.
Summary of the invention:
In order to overcome the defect of above-mentioned background technology, the invention provides a kind of computation migration method and apparatus based on mobile cloud environment low energy consumption and load balancing, low energy consumption and load balancing can be realized.
In order to solve the problems of the technologies described above, of the present invention adopted technical scheme is:
A kind of computation migration method based on mobile cloud environment low energy consumption and load balancing, the factor value of data flow application program division is affected from cloud server and acquisition for mobile terminal, in conjunction with data streaming application partition strategy, dynamically data streaming application is divided, mobile terminal data streaming application is moved to cloud server and perform or cloud server application program moved to mobile terminal execution; Factor value comprises the cloud server present load from cloud server acquisition and the current electric quantity from acquisition for mobile terminal, cpu load, the network bandwidth and available memory space.
Preferably, data flow application program partition strategy comprises: judge that whether mobile terminal dump energy is lower than the threshold value a preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t0 to go to perform, is required the data flow application component being less than t0 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued;
Preferably, data flow application program partition strategy comprises: judge that whether the change of mobile terminal cpu load is higher than the threshold value p preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t1 to perform, and is required the data flow application component being less than t1 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued; .
Preferably, when to judge between mobile terminal and high in the clouds bandwidth change whether higher than the threshold value b preset, if so, the data flow application component then communication time being greater than t2 is placed on mobile terminal and performs, and data flow application component communication time being less than t2 is placed on high in the clouds and performs; If not, then current partition strategy service data streaming application is continued.
Preferably, judge whether the free memory of mobile terminal is less than the threshold value s preset, if so, then required memory size is moved to high in the clouds at the data flow application component of more than m to perform, required memory size is placed on mobile terminal at the data flow application component of below m and performs; If not, then current partition strategy service data streaming application is continued.
Preferably, judge whether the load of server end is greater than the threshold value l preset, if so, then computing time is moved to mobile terminal at the data flow application component of more than t3 to perform, is required the data flow application component being less than t3 is placed on high in the clouds and performs computing time; If not, then current partition strategy service data streaming application is continued.
Preferably, threshold value a, p, b, s and l preset or manually input in device.
The present invention also provides a kind of computation migration device based on mobile cloud environment low energy consumption and load balancing, comprises factor value acquisition module, data flow application program divides decision-making module and data flow application program divides Executive Module; Factor value acquisition module is used for obtaining factor value from high in the clouds and mobile terminal, and factor value input traffic application program is divided decision-making module; The data flow application program partition strategy that factor value connecting inner stores by data flow application program division decision-making module divides Executive Module to data flow application program and exports division decision-making; Data flow application program divides Executive Module and performs the data flow application program division decision-making received from data flow application program division decision-making module.
Preferably, factor value acquisition module obtains the present load of cloud server from cloud server, from the current electric quantity of acquisition for mobile terminal mobile terminal, cpu load, the network bandwidth and available memory space.
Preferably, data flow application program divides the data flow application program partition strategy stored in decision-making module and comprises: carry out decision-making according to mobile terminal dump energy, judge that whether mobile terminal dump energy is higher than the threshold value a preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t0 to go to perform, is required the data flow application component being less than t0 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued; Or carry out decision-making according to the change of mobile terminal cpu load, judge that whether the change of mobile terminal cpu load is higher than the threshold value p preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t1 to perform, and is required the data flow application component being less than t1 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued; Or to change according to bandwidth between mobile terminal and high in the clouds and carry out decision-making, when to judge between mobile terminal and high in the clouds bandwidth change whether higher than the threshold value b preset, if, the data flow application component then communication time being greater than t2 is placed on mobile terminal and performs, and data flow application component communication time being less than t2 is placed on high in the clouds and performs; If not, then current partition strategy service data streaming application is continued; Or carry out decision-making according to the free memory of mobile terminal, judge whether the free memory of mobile terminal is less than the threshold value s preset, if, then required memory size is moved to high in the clouds at the data flow application component of more than m to perform, required memory size is placed on mobile terminal at the data flow application component of below m and performs; If not, then current partition strategy service data streaming application is continued; Or carry out decision-making according to the load of server end, judge whether the load of server end is greater than the threshold value l preset, if, then computing time is moved to mobile terminal at the data flow application component of more than t3 to perform, is required the data flow application component being less than t3 is placed on high in the clouds and performs computing time; If not, then current partition strategy service data streaming application is continued; Threshold value a, p, b, s and l preset or manually input in device.
The factor that the present invention is divided by analyzing influence data flow application program, mobile terminal data streaming application is made and divides process, comprise and detecting to cloud server present load with from the current electric quantity of acquisition for mobile terminal, cpu load, the network bandwidth and available memory space, and according to the result obtained, dynamic adjustment is in real time carried out to data streaming application.The energy consumption of mobile terminal can not only be reduced by the solution of the present invention, realize the load balancing in mobile terminal and high in the clouds, the throughput that mobile terminal performs data streaming application can be improved simultaneously, reduce the response time simultaneously, improve operation efficiency.
Accompanying drawing explanation
Fig. 1 is the structural representation of the embodiment of the present invention;
Fig. 2 is the flow chart of the embodiment of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described further.
The present embodiment provides a kind of computation migration device based on mobile cloud environment low energy consumption and load balancing, comprises factor value acquisition module, data flow application program divides decision-making module and data flow application program divides Executive Module (Fig. 1).
One, factor value acquisition module is used for obtaining factor value from high in the clouds and mobile terminal, and factor value input traffic application program is divided decision-making module; Factor value acquisition module obtains the present load of cloud server from cloud server, from the current electric quantity of acquisition for mobile terminal mobile terminal, cpu load, the network bandwidth and available memory space.The factor value acquisition module of the present embodiment specifically comprises the available memory space acquisition unit of the present load acquisition unit of cloud server, the current electric quantity acquisition unit of mobile terminal, the cpu load acquisition unit of mobile terminal, network bandwidth acquisition unit and mobile terminal.
Two, the data flow application program partition strategy that factor value connecting inner stores by data flow application program division decision-making module divides Executive Module to data flow application program and exports division decision-making;
Data flow application program divides the data flow application program partition strategy stored in decision-making module and comprises following several:
Decision-making is carried out according to mobile terminal dump energy, judge that whether mobile terminal dump energy is lower than the threshold value a preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t0 to go to perform, is required the data flow application component being less than t0 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued;
Or carry out decision-making according to the change of mobile terminal cpu load, judge that whether the change of mobile terminal cpu load is higher than the threshold value p preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t1 to perform, and is required the data flow application component being less than t1 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued;
Or to change according to bandwidth between mobile terminal and high in the clouds and carry out decision-making, when to judge between mobile terminal and high in the clouds bandwidth change whether higher than the threshold value b preset, if, the data flow application component then communication time being greater than t2 is placed on mobile terminal and performs, and data flow application component communication time being less than t2 is placed on high in the clouds and performs; If not, then current partition strategy service data streaming application is continued; When carrying out decision-making according to time scheme, mobile terminal and high in the clouds are under same network type;
Or carry out decision-making according to the free memory of mobile terminal, judge whether the free memory of mobile terminal is less than the threshold value s preset, if, then required memory size is moved to high in the clouds at the data flow application component of more than m to perform, required memory size is placed on mobile terminal at the data flow application component of below m and performs; If not, then current partition strategy service data streaming application is continued;
Or carry out decision-making according to the load of server end, judge whether the load of server end is greater than the threshold value l preset, if, then computing time is moved to mobile terminal at the data flow application component of more than t3 to perform, is required the data flow application component being less than t3 is placed on high in the clouds and performs computing time; If not, then current partition strategy service data streaming application is continued.
Threshold value a in above decision scheme, p, b, s and l preset in device, or the later stage manually inputs.
The function of this module comprises and mainly according to data flow application program migration strategy module determined division result, members is put into high in the clouds and performs; The determined division result of data streaming application migration strategy module assessed and adjusted division result to gtoal setting, mobile terminal factor acquisition module is monitored in real time, if factor changes, needing to adjust partition strategy.Cloud server factor acquisition module is monitored thus dynamic conditioning partition strategy in real time,
Three, data flow application program divides Executive Module and performs the data flow application program division decision-making received from data flow application program division decision-making module.
Four, the method for work following (Fig. 2) of said apparatus is described for mobile terminal dump energy:
Step 1, factor acquisition module affects the factor value of data flow application program division from cloud server and acquisition for mobile terminal, i.e. the dump energy of mobile terminal, flows to data flow application program and divides decision-making module; In practice, factor value comprises the cloud server present load from cloud server acquisition and the current electric quantity from acquisition for mobile terminal, cpu load, the network bandwidth and available memory space.
Step 2, data flow application program divides decision-making module by obtained mobile terminal dump energy in conjunction with data streaming application partition strategy, dynamically data streaming application is divided, judge that whether dump energy is lower than the threshold value a preset, the present embodiment get that this threshold value is total electricity 30%; If so, then enter step 3, if not, then enter step 4;
Step 3, moves to high in the clouds by computing time at the data flow application component of more than t0 and goes to perform, and is required the data flow application component being less than t0 is placed on mobile terminal and performs computing time, and enters step 5;
Step 4, then continue current partition strategy service data streaming application, and enter step 5;
Step 5, is delivered to data flow application program and divides Executive Module execution by the partition strategy drawn;
Get back to step 1, further obtain every factor value, carry out detecting in real time with adjust division result simultaneously by result towards gtoal setting.
The present embodiment can also divide data streaming application with reference to the cpu load of cloud server present load and mobile terminal, the network bandwidth and available memory space in addition.
As, step 3 when whether the change of mobile terminal current network bandwidth is more than 20% for judging, if so, illustrates now network bandwidth less stable, forwards step 4 to and continue execution data streaming application with new partition strategy.
Should be understood that, for those of ordinary skills, can be improved according to the above description or convert, and all these improve and convert the protection range that all should belong to claims of the present invention.
Claims (10)
1. the computation migration method based on mobile cloud environment low energy consumption and load balancing, it is characterized in that: the factor value affecting the division of data flow application program from cloud server and acquisition for mobile terminal, in conjunction with data streaming application partition strategy, dynamically data streaming application is divided, mobile terminal data streaming application is moved to cloud server and perform or cloud server application program moved to mobile terminal execution; Described factor value comprises the cloud server present load from cloud server acquisition and the current electric quantity from acquisition for mobile terminal, cpu load, the network bandwidth and available memory space.
2. a kind of computation migration method based on mobile cloud environment low energy consumption and load balancing according to claim 1, it is characterized in that, described data flow application program partition strategy comprises: judge that whether mobile terminal dump energy is higher than the threshold value a preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t0 to go to perform, is required the data flow application component being less than t0 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued.
3. a kind of computation migration method based on mobile cloud environment low energy consumption and load balancing according to claim 1, it is characterized in that, described data flow application program partition strategy comprises: judge that whether the change of mobile terminal cpu load is higher than the threshold value p preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t1 to perform, and is required the data flow application component being less than t1 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued; .
4. a kind of computation migration method of moving based on dynamic cloud environment low energy consumption and load balancing according to claim 1, it is characterized in that: when judging the change of mobile terminal bandwidth whether higher than the threshold value b preset, if, the data flow application component then communication time being greater than t2 is placed on mobile terminal and performs, and data flow application component communication time being less than t2 is placed on high in the clouds and performs; If not, then current partition strategy service data streaming application is continued.
5. a kind of computation migration method based on mobile cloud environment low energy consumption and load balancing according to claim 1, it is characterized in that: judge whether the free memory of mobile terminal is less than the threshold value s preset, if, then required memory size is moved to high in the clouds at the data flow application component of more than m to perform, required memory size is placed on mobile terminal at the data flow application component of below m and performs; If not, then current partition strategy service data streaming application is continued.
6. a kind of computation migration method based on mobile cloud environment low energy consumption and load balancing according to claim 1, it is characterized in that: judge whether the load of server end is greater than the threshold value l preset, if, then computing time is moved to mobile terminal at the data flow application component of more than t3 to perform, is required the data flow application component being less than t3 is placed on high in the clouds and performs computing time; If not, then current partition strategy service data streaming application is continued.
7. a kind of computation migration method based on mobile cloud environment low energy consumption and load balancing according to any one of claim 2-6, is characterized in that: described threshold value a, p, b, s and l preset or manually input in described high in the clouds.
8. based on a computation migration device for mobile cloud environment low energy consumption and load balancing, it is characterized in that: described device comprises factor value acquisition module, data flow application program divides decision-making module and data flow application program divides Executive Module;
Described factor value acquisition module is used for obtaining factor value from high in the clouds and mobile terminal, and described factor value input traffic application program is divided decision-making module;
The data flow application program partition strategy that described factor value connecting inner stores by described data flow application program division decision-making module divides Executive Module to described data flow application program and exports division decision-making;
Described data flow application program divides Executive Module and performs the data flow application program division decision-making received from described data flow application program division decision-making module.
9. a kind of computation migration device based on mobile cloud environment low energy consumption and load balancing according to claim 8, it is characterized in that: described factor value acquisition module obtains the present load of cloud server from cloud server, from the current electric quantity of acquisition for mobile terminal mobile terminal, cpu load, the network bandwidth and available memory space.
10. a kind of computation migration device based on mobile cloud environment low energy consumption and load balancing according to claim 8, is characterized in that, described data flow application program divides the data flow application program partition strategy stored in decision-making module and comprises:
Decision-making is carried out according to described mobile terminal dump energy, judge that whether mobile terminal dump energy is lower than the threshold value a preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t0 to go to perform, is required the data flow application component being less than t0 is placed on mobile terminal and performs computing time; If not, then partition strategy service data streaming application is made according to the current load situation in mobile terminal and high in the clouds;
Or carry out decision-making according to the change of described mobile terminal cpu load, judge that whether the change of mobile terminal cpu load is higher than the threshold value p preset, if, then computing time is moved to high in the clouds at the data flow application component of more than t1 to perform, and is required the data flow application component being less than t1 is placed on mobile terminal and performs computing time; If not, then current partition strategy service data streaming application is continued;
Or to change according to bandwidth between mobile terminal and high in the clouds and carry out decision-making, when to judge between mobile terminal and high in the clouds bandwidth change whether higher than the threshold value b preset, if, the data flow application component then communication time being greater than t2 is placed on mobile terminal and performs, and data flow application component communication time being less than t2 is placed on high in the clouds and performs; If not, then current partition strategy service data streaming application is continued;
Or carry out decision-making according to the free memory of described mobile terminal, judge whether the free memory of mobile terminal is less than the threshold value s preset, if, then required memory size is moved to high in the clouds at the data flow application component of more than m to perform, required memory size is placed on mobile terminal at the data flow application component of below m and performs; If not, then current partition strategy service data streaming application is continued;
Or carry out decision-making according to the load of described server end, judge whether the load of server end is greater than the threshold value l preset, if, then computing time is moved to mobile terminal at the data flow application component of more than t3 to perform, is required the data flow application component being less than t3 is placed on high in the clouds and performs computing time; If not, then current partition strategy service data streaming application is continued;
Described threshold value a, p, b, s and l preset or manually input in described device.
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