CN102546759A - Method and system for smart TV to realize grid computing, and smart TV - Google Patents

Method and system for smart TV to realize grid computing, and smart TV Download PDF

Info

Publication number
CN102546759A
CN102546759A CN2011104203374A CN201110420337A CN102546759A CN 102546759 A CN102546759 A CN 102546759A CN 2011104203374 A CN2011104203374 A CN 2011104203374A CN 201110420337 A CN201110420337 A CN 201110420337A CN 102546759 A CN102546759 A CN 102546759A
Authority
CN
China
Prior art keywords
grid computing
intelligent television
computing server
calculation
message
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2011104203374A
Other languages
Chinese (zh)
Other versions
CN102546759B (en
Inventor
曹源
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
TCL Corp
Original Assignee
TCL Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by TCL Corp filed Critical TCL Corp
Priority to CN201110420337.4A priority Critical patent/CN102546759B/en
Publication of CN102546759A publication Critical patent/CN102546759A/en
Application granted granted Critical
Publication of CN102546759B publication Critical patent/CN102546759B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Information Transfer Between Computers (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

The invention is suitable for the technical field of TV, and provides a method and a system for a smart TV to realize grid computing, and the smart TV. The method comprises the following steps of: detecting the current communication environment; configuring grid computing attribute, wherein the grid computing attribute comprises a grid computing server address and a period of submitting the computed result to the grid computing server; transmitting a request message of applying to join the grid computing to the grid computing server corresponding to the grid computing server address; receiving a computing task allocated by the grid computing server; computing the computing task; and submitting the computed result to the grid computing server according to the preconfigured period. With the method and the system, the smart TV can realize the function of grid computing, the resource of the smart TV is fully used, the efficiency of the smart TV is brought into full play, and greater contribution to the society is made.

Description

A kind of intelligent television is realized method, system and the intelligent television of grid computing
Technical field
The invention belongs to TV technology, relate in particular to method, system and intelligent television that a kind of intelligent television is realized grid computing.
Background technology
At present, the popular TV that uses comprises common TV and internet television, and common TV does not possess operating system, generally only possesses the TV programme playing function; Internet television is based on (SuSE) Linux OS, and main the application is and the network interconnection.
Along with TV tech gets into the intelligent television epoch, the intelligent television hardware performance is good, and adopts Android operating system, can on Android operating system basis, increase functions such as grid computing, enriches the use of television set.
Yet; On the intelligent television product, generally only realized various application services such as web search, Internet Protocol Television, BBTV netview, video request program (VOD), digital music, Internet news, network video telephone at present, also do not had to realize the technical application relevant with grid computing.
Summary of the invention
The purpose of the embodiment of the invention is to provide a kind of intelligent television to realize the method for grid computing, is intended to solve the problem that existing intelligent television does not possess the grid computing function.
The embodiment of the invention is achieved in that a kind of method of intelligent television realization grid computing, and said method comprises the steps:
Detect current communication environment;
When said current communication environment satisfies the threshold values that is provided with in advance, configuration grid computing attribute, said grid computing attribute kit purse rope lattice calculation server address and the cycle of submitting result of calculation to the grid computing server;
Send the request message that grid computing is participated in application to the grid computing server corresponding, comprise log-on message in the described request message with said grid computing server address;
Receive the calculation task of grid computing server-assignment, said calculation task is that grid computing server employing load sharing algorithm is that intelligent television distributes, and log-on message is a reference quantity in the said load sharing algorithm;
Said calculation task is calculated;
Submit result of calculation to the grid computing server according to the pre-configured cycle.
The embodiment of the invention also provides a kind of grid computing device, and said device comprises:
Environmental detection unit is used to detect current communication environment;
The attribute configuration unit; Be used for when said environmental detection unit detects the threshold values of the satisfied setting in advance of current communication environment; Configuration grid computing attribute, said grid computing attribute kit purse rope lattice calculation server address and the cycle of submitting result of calculation to the grid computing server;
The request message transmitting element; Be used for after passing through the good grid computing attribute of attribute configuration configuration of cells; To with said grid computing attribute in the corresponding grid computing server of the grid computing server address that comprises send the request message that grid computing is participated in application, comprise log-on message in the described request message;
The calculation task receiving element is used to receive the calculation task of grid computing server-assignment, said calculation task be the grid computing server to adopt the load sharing algorithm be that intelligent television distributes, log-on message is a reference quantity in the said load sharing algorithm;
Computing unit is used for the calculation task that said calculation task receiving element receives is calculated;
Result of calculation is submitted the unit, is used for submitting to the grid computing server according to the pre-configured cycle result of calculation of said computing unit.
The embodiment of the invention also provides a kind of intelligent television, and said intelligent television comprises aforesaid grid computing device.
The embodiment of the invention also provides a kind of computing system, and said system comprises grid computing server and aforesaid intelligent television.
The embodiment of the invention; Satisfy when carrying out the condition of grid computing at current communication environment; Intelligent television is participated in the grid computing request according to the grid computing attribute of configuration to the application of grid computing server earlier; Accomplish according to the calculation task of grid computing server-assignment again and calculate and submit result of calculation to grid computing server; Realized user's TV reception or with TV entertainment interactive in, intelligent television is participated in the function of grid computing, can effectively utilize the idling-resource of intelligent television to contribute for society.
Description of drawings
Fig. 1 is the realization flow figure that the intelligent television that provides of the embodiment of the invention one is realized the method for grid computing;
Fig. 2 is the grid computing attribute configuration window sketch map that the embodiment of the invention one provides;
Fig. 3 is the realization flow figure that the intelligent television that provides of the embodiment of the invention two is realized the method for grid computing;
Fig. 4 is the realization flow figure that the intelligent television that provides of the embodiment of the invention three is realized the method for grid computing;
Fig. 5 is the realization flow figure that the intelligent television that provides of the embodiment of the invention four is realized the method for grid computing;
Fig. 6 is the realization flow figure that the intelligent television that provides of the embodiment of the invention five is realized the method for grid computing;
Fig. 7 is the structured flowchart of the grid computing device that provides of the embodiment of the invention six;
Fig. 8 is the distribution schematic diagram of grid computing client-side program in the intelligent television system that the embodiment of the invention six provides;
Fig. 9 is the structured flowchart of the grid computing device that provides of the embodiment of the invention seven.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
The embodiment of the invention; Satisfy when carrying out the condition of grid computing at current communication environment; Intelligent television is participated in the grid computing request according to the grid computing attribute of configuration to the application of grid computing server earlier; Accomplish according to the calculation task of grid computing server-assignment again and calculate and submit result of calculation to grid computing server; Realized user's TV reception or with TV entertainment interactive in, intelligent television is participated in the function of grid computing, can effectively utilize the idling-resource of intelligent television to contribute for society.
Below in conjunction with specific embodiment realization of the present invention is described in detail:
Embodiment one
The intelligent television that Fig. 1 shows the embodiment of the invention one to be provided is realized the realization flow figure of the method for grid computing, and this method can be applied in the computing system that comprises intelligent television and grid computing server, and details are as follows for said method:
In step S101, check current communication environment.
The grid computing client-side program of intelligent television is checked current communication environment; Said current communication environment comprises the operating load and the current network UNICOM state of intelligent television system; Satisfy the threshold values that is provided with in advance when said operating load; And current network UNICOM state just often, then execution in step S102.
In the present embodiment, operating load comprises CPU usage and RAM occupancy; Current network UNICOM state comprises (Dynamic Host Configuration Protocol, DHCP) whether IP etc. is obtained in success automatically for eth0 network interface state and DHCP.Such as; In the present embodiment; Be lower than 70% when the grid computing client-side program detects CPU usage, the RAM occupancy is lower than 80%, the eth0 network interface is in good condition, and the DHCP success is just had the ability to grid computing server initiation network connecting request when obtaining IP automatically.
In step S102, when said current communication environment satisfies the threshold values that is provided with in advance, configuration grid computing attribute, said grid computing attribute kit purse rope lattice calculation server address and the cycle of submitting result of calculation to the grid computing server.
When the grid computing client-side program detects the threshold values of the satisfied setting in advance of current communication environment; Provide grid computing attribute configuration window to carry out the grid computing attribute configuration to the user; Said grid computing attribute kit purse rope lattice calculation server address, grid computing Service-Port, domain name system (Domain Name System; DNS) service, gateway and execution cycle etc., as shown in Figure 2.Wherein, execution cycle representes that the grid computing client-side program need submit the cycle that result of calculation is given the grid computing server.
In step S103; Send the request message that grid computing is participated in application to the grid computing server corresponding with said grid computing server address; Comprise log-on message in the described request message, said log-on message comprises the IP of intelligent television, the CPU usage and the RAM occupancy of intelligent television.
Wherein, described request message is to send to the grid computing server with the form that HTTP asks, and wherein carries log-on message and agreement and allows clause, and log-on message comprises the IP of intelligent television, the CPU usage and the RAM occupancy of intelligent television.
In step S104, receive the calculation task of grid computing server-assignment, said calculation task is that grid computing server employing load sharing algorithm is that intelligent television distributes, log-on message is a reference quantity in the said load sharing algorithm.
The grid computing server receives after application that intelligent television sends participates in the request message of grid computing; Therefrom extract the IP of the intelligent television that comprises in the log-on message, the CPU usage and the RAM occupancy of intelligent television; Through the load sharing algorithm said log-on message is analyzed, confirm log-on message whether satisfy the condition of accepting computation requests and when the Distribution Calculation task give the intelligent television of corresponding IP.The concrete general algorithm of load sharing algorithm use prior art is not described at this.
In step S105, said calculation task is calculated.
After the grid computing client-side program of intelligent television receives the calculation task of grid computing server transmission, start the grid computing functional module in the grid computing client-side program, the calculation task that receives is calculated through this module.
In step S106, submit result of calculation to the grid computing server according to the pre-configured cycle.
After intelligent television receives the calculation task of grid computing server transmission; Start the grid computing functional module in the grid computing client-side program; Said calculation task is calculated; And result of calculation is submitted to the grid computing server according to the pre-configured cycle, this cycle disposes when in step S102, disposing the grid computing attribute.
Wherein, in embodiments of the present invention, before step S101, said grid calculating method also comprises the steps:
Step 1, initialization intelligent television system start the local resource relevant with system service.
Step 2, according to the operating instruction of input, operation grid computing client-side program.
Wherein, step 1 comprises:
Step 11, click Power button are opened intelligent television;
Step 12, BootLoader boot are packed the Kernel mirror-image system into to RAM from NOR FLASH ROM assigned address, start Linux Kernel;
Step 13, Linux Kernel start initialization Init process, carry out initial configuration;
Processes such as step 14, Init process initiation service processes Daemons, USB service processes Usbd, debugging bridge service processes Adbd, debugger service processes Debuggerd, radio interface layer service processes Rild, Android application process incubator Zegote.
Wherein, service processes Daemons refers to one section program of linux system running background, is also referred to as system service sometimes.
Step 15, Zegote process are created a Dalik virtual machine instance for system service Daemons, and the start-up system service.
Wherein, the Dalvik virtual machine is the special Java Virtual Machine in the Android system.
Step 16, after the intact all system services of intelligent television system loads, be in wait state, wait for the operating instruction of user's input, move the grid computing client-side program.
In the grid calculating method that the embodiment of the invention provides, the grid computing client-side program of intelligent television satisfies when carrying out the condition of grid computing detecting current communication environment, and the prompting user disposes the grid computing attribute; And with attribute in the grid computing server of appointment connect; Send the request of participating in grid computing, and the calculation task of grid computing server-assignment is calculated, send result of calculation at last and give the grid computing server; Realized the function that intelligent television is participated in grid computing; Make intelligent television play TV programme or when carrying out the TV entertainment interaction, also can participate in ultra-large calculating, for society contributes with the user.
Embodiment two
Fig. 3 shows the flow chart of realization that intelligent television that the embodiment of the invention two provides is realized the method for grid computing; This method can be applied in the computing system that comprises intelligent television and grid computing server, and the grid calculating method that the embodiment of the invention two provides mainly comprises:
Present embodiment two be on the basis of embodiment one to the optimization of grid calculating method, comprise the step S101-S106 of embodiment one, new step of adding is carried out after the step S106 of embodiment one, comprising:
In step S301, initiatively stop to calculate or stop to participate in calculating to the application of grid computing server.
Intelligent television can initiatively be closed the grid computing client-side program; The instruction notification grid computing server of redispatching has stopped participating in calculating; Also can not satisfy when carrying out the condition of grid computing, stop to participate in calculating to the application of grid computing server at the operating load that detects the intelligent television system.
In step S302, receive the message that stops calculation task that the grid computing server returns.
After the grid computing server receives the stop calculation of intelligent television transmission, stop the Distribution Calculation task and give intelligent television, preserve the last computation relevant information, and the message that transmission stops calculation task is to intelligent television.
In step S303, the local resource relevant that starts when discharging initialization intelligent television system with system service.
After intelligent television receives the message that stops calculation task of grid computing server transmission, the local resource relevant that starts when discharging initialization intelligent television system with system service.
In step S304, send the affirmation message that stops to calculate to the grid computing server.
Through present embodiment, when intelligent television stops grid computing, discharge the local resource relevant that starts when participating in grid computing with system service, reduced the waste of intelligent television resource.
Embodiment three
Fig. 4 shows the flow chart of realization that intelligent television that the embodiment of the invention three provides is realized the method for grid computing, and this method can be applied in the computing system that comprises intelligent television and grid computing server, and details are as follows for said method:
1, the grid computing client-side program of intelligent television is checked current communication environment.
2, when said current communication environment satisfies the threshold values that is provided with in advance, configuration grid computing attribute, said grid computing attribute kit purse rope lattice calculation server address and the cycle of submitting result of calculation to the grid computing server.
3, send the request message that grid computing is participated in application to the grid computing server corresponding with said grid computing server address; Comprise log-on message in the described request message, said log-on message comprises the IP of intelligent television, the CPU usage and the RAM occupancy of intelligent television.
4, after the grid computing server received described request message, adopting the load sharing algorithm was intelligent television Distribution Calculation task, and wherein, log-on message is a reference quantity in the said load sharing algorithm.
The grid computing server receives after application that intelligent television sends participates in the request message of grid computing; Therefrom extract the IP of the intelligent television that comprises in the log-on message, the CPU usage and the RAM occupancy of intelligent television; Through the load sharing algorithm said log-on message is analyzed; Confirm log-on message whether satisfy the condition of accepting computation requests and when the Distribution Calculation task give the intelligent television of corresponding IP, distribute calculation task after, send said calculation task to intelligent television.The concrete general algorithm of load sharing algorithm use prior art is not described at this.
5, the grid computing client-side program of intelligent television receives the calculation task of grid computing server-assignment, and said calculation task is that the load sharing algorithm of grid computing server is that intelligent television distributes according to said log-on message.
6, said calculation task is calculated.
7, submit result of calculation according to the pre-configured cycle to the grid computing server.
Embodiment four
Fig. 5 shows the flow chart of realization that intelligent television that the embodiment of the invention four provides is realized the method for grid computing, and this method can be applied in the computing system that comprises intelligent television and grid computing server, and details are as follows for said method:
Present embodiment four be on the basis of embodiment three to the optimization of grid calculating method, comprise the step 1-7 of embodiment three, new step of adding is carried out after the step 7 of embodiment three, comprising:
1, the grid computing of initiatively closing of intelligent television reception input is instructed, and stop grid computing according to said instruction, and transmission stops grid computing message to grid computing server.
The intelligent television user initiatively closes the grid computing client-side program, stops grid computing, and transmission stops grid computing message to grid computing server.
2, the grid computing server stops the Distribution Calculation task to intelligent television according to said instruction, preserves the last computation relevant information, and the message that transmission stops calculation task is to intelligent television.
3, after intelligent television receives the said message that stops calculation task, the local resource relevant that starts when discharging initialization intelligent television system with system service.
4, intelligent television sends the affirmation message that stops to calculate to the grid computing server.
Embodiment five
Fig. 6 shows the flow chart of realization that intelligent television that the embodiment of the invention five provides is realized the method for grid computing, and this method can be applied in the computing system that comprises intelligent television and grid computing server, and details are as follows for said method:
Present embodiment five be on the basis of embodiment three to the optimization of grid calculating method, comprise the step 1-7 of embodiment three, new step of adding is carried out after the step 7 of embodiment three, comprising:
1, intelligent television real-time inspection CPU and RAM behaviour in service in participating in calculation process when CPU or RAM occupancy are higher than the threshold values that is provided with in advance, are sent to the grid computing server and to be stopped computation requests.
If real-time inspection to CPU usage be higher than 70% or the RAM utilization rate be higher than 80%, then stop computation requests to grid computing server transmission.
2, the grid computing server stops the Distribution Calculation task to intelligent television according to described request, preserves the last computation relevant information, and the message that transmission stops calculation task is to intelligent television.
3, after intelligent television receives the said message that stops calculation task, the local resource relevant that starts when discharging initialization intelligent television system with system service.
4, intelligent television sends the affirmation message that stops to calculate to the grid computing server.
Embodiment six
Fig. 7 shows the grid computing device that the embodiment of the invention six proposes, and for the ease of explanation, only shows the part relevant with the embodiment of the invention, and this device can be software unit, hardware cell or the soft or hard combining unit that is built in intelligent television.Wherein, one or more intelligent television that comprises this grid computing device can constitute a computing system with the grid computing server.
In embodiments of the present invention, said intelligent television comprises: environmental detection unit 71, attribute configuration unit 72, request message transmitting element 73, calculation task receiving element 74, computing unit 75 and result of calculation are submitted unit 76.
Wherein, Environmental detection unit 71, attribute configuration unit 72, request message transmitting element 73, calculation task receiving element 74, computing unit 75 and result of calculation submit unit 76 be as one independently Android grid computing client-side program be installed in the grid computing device; The user can be through being provided with after selecting to install the success of Android grid computing client-side program; Select to add grid computing; The grid computing client-side program can be at Android system running background, does not influence other functions such as simulated television ATV that the user normally uses intelligent television, DTV DTV, online video display.Wherein, the grid computing client-side program operates in the TV applications layer of intelligent television, and concrete framework is as shown in Figure 8.
Wherein, environmental detection unit 71 is used to detect current communication environment, and said current communication environment comprises the operating load and the current network UNICOM state of intelligent television system, and said operating load comprises CPU usage and RAM occupancy; Current network UNICOM state comprises whether IP is obtained in success automatically for eth0 network interface state and DHCP;
Attribute configuration unit 72 is used for when said environmental detection unit 71 detects the threshold values of the satisfied setting in advance of current communication environment; Configuration grid computing attribute; Said grid computing attribute kit purse rope lattice calculation server address and the cycle of submitting result of calculation to the grid computing server, the said threshold values that is provided with in advance is that CPU usage is lower than 70%, the RAM occupancy is lower than 80%, the eth0 network interface is in good condition and IP is obtained in the DHCP success automatically;
Request message transmitting element 73 is used for after configuring the grid computing attribute through attribute configuration unit 72; To with said grid computing attribute in the corresponding grid computing server of the grid computing server address that comprises send the request message that grid computing is participated in application; Comprise log-on message in the described request message, said log-on message comprises IP, CPU usage and the RAM occupancy of intelligent television;
Calculation task receiving element 74 is used to receive the calculation task of grid computing server-assignment; Said calculation task is that grid computing server employing load sharing algorithm is that intelligent television distributes, and included log-on message is a reference quantity in the said load sharing algorithm in the request message that request message transmitting element 73 sends;
Computing unit 75 is used for the calculation task that said calculation task receiving element 74 receives is calculated;
Result of calculation is submitted the result of calculation that unit 76 is used for submitting to the grid computing server according to the pre-configured cycle said computing unit 75.
In addition, in order to realize the normal operation of grid computing client-side program, said device also comprises: initialization unit 77 and program running unit 78.
Wherein, initialization unit 77 is used for initialization intelligent television system, starts the local resource relevant with system service;
Program running unit 78 is used for the operating instruction according to input, operation grid computing client-side program.
Specifically can repeat no more at this with reference to method embodiment shown in Figure 1.
Embodiment seven
Fig. 9 shows the grid computing device that the embodiment of the invention seven proposes, and for the ease of explanation, only shows the part relevant with the embodiment of the invention, and this device can be software unit, hardware cell or the soft or hard combining unit that is built in intelligent television.Wherein, one or more intelligent television that comprises this grid computing device can constitute a computing system with the grid computing server.
Present embodiment seven is the optimization of embodiment six, and the above grid computing device also comprises on the basis of embodiment six: calculating stops request unit 91, resource releasing unit 92 and calculating and stops confirmation unit 93.
Wherein, calculate and to stop request unit 91 and be used for initiatively stopping to calculate or stopping to participate in calculating to the application of grid computing server;
Resource releasing unit 92 is used to receive the message that stops calculation task that the grid computing server returns, the local resource relevant with system service that starts when discharging said initialization unit initialization intelligent television system;
Calculating stops confirmation unit 93 and is used for sending the affirmation message that stops to calculate to the grid computing server.
Specifically can repeat no more at this with reference to method embodiment shown in Figure 3.
Beneficial effect of the present invention is:
The embodiment of the invention; Satisfy when carrying out the condition of grid computing at current communication environment; Intelligent television is participated in the grid computing request according to the grid computing attribute of configuration to the application of grid computing server earlier; Accomplish according to the calculation task of grid computing server-assignment again and calculate and submit result of calculation to grid computing server; Realized user's TV reception or with TV entertainment interactive in, intelligent television is participated in the function of grid computing, can effectively utilize the idling-resource of intelligent television to contribute for society.Wherein, the grid computing project that intelligent television can be participated in comprises: 1, solve comparatively complex mathematical problem, for example: GIMPS (seeking maximum Mersenne Prime); 2, the safest cryptographic system is sought in research, for example: RC-72 (password cracking); 3, biological pathology research, for example: Foldinghome (the research protein folding is misread, polymerization and the relevant disease that causes thus); 4, the drug research of various disease, for example: UnitedDevices (seeking the effective medicine of antagonism cancer); 5, signal processing, for example: SETIHome (be in and seek alien civilization).In addition, when intelligent television stops grid computing, can discharge, avoid the waste of resource because of carrying out the related resource that grid computing starts when the initialization intelligent television system.
It should be noted that in said apparatus and the system embodiment that each included unit is just divided according to function logic, but is not limited to above-mentioned division, as long as can realize function corresponding; In addition, the concrete title of each functional unit also just for the ease of mutual differentiation, is not limited to protection scope of the present invention.
In addition; One of ordinary skill in the art will appreciate that all or part of step that realizes in above-mentioned each embodiment method is to instruct relevant hardware to accomplish through program; Corresponding program can be stored in the computer read/write memory medium; Described storage medium is like ROM/RAM, disk or CD etc.
The above is merely preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of within spirit of the present invention and principle, being done, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. the method for an intelligent television realization grid computing is characterized in that said method comprises the steps:
Detect current communication environment;
When said current communication environment satisfies the threshold values that is provided with in advance, configuration grid computing attribute, said grid computing attribute kit purse rope lattice calculation server address and the cycle of submitting result of calculation to the grid computing server;
Send the request message that grid computing is participated in application to the grid computing server corresponding, comprise log-on message in the described request message with said grid computing server address;
Receive the calculation task of grid computing server-assignment, said calculation task is that grid computing server employing load sharing algorithm is that intelligent television distributes, and log-on message is a reference quantity in the said load sharing algorithm;
Said calculation task is calculated;
Submit result of calculation to the grid computing server according to the pre-configured cycle.
2. the method for claim 1 is characterized in that, said current communication environment comprises the operating load and the current network UNICOM state of intelligent television system;
Said operating load comprises CPU usage and RAM occupancy; Current network UNICOM state comprises whether IP is obtained in success automatically for eth0 network interface state and DHCP;
The said threshold values that is provided with in advance is that CPU usage is lower than 70%, the RAM occupancy is lower than 80%, the eth0 network interface is in good condition and IP is obtained in the DHCP success automatically.
3. the method for claim 1 is characterized in that, before the step of the current communication environment of said detection, said method also comprises:
Initialization intelligent television system starts the local resource relevant with system service;
According to the operating instruction of input, operation grid computing client-side program.
4. the method for claim 1 is characterized in that, said according to the pre-configured cycle after the grid computing server is submitted the step of result of calculation, said method also comprises:
Initiatively stop to calculate or stop to participate in calculating to the application of grid computing server;
Receive the message that stops calculation task that the grid computing server returns;
The local resource relevant that starts when discharging initialization intelligent television system with system service;
Send the affirmation message that stops to calculate to the grid computing server.
5. a grid computing device is characterized in that, said device comprises:
Environmental detection unit is used to detect current communication environment;
The attribute configuration unit; Be used for when said environmental detection unit detects the threshold values of the satisfied setting in advance of current communication environment; Configuration grid computing attribute, said grid computing attribute kit purse rope lattice calculation server address and the cycle of submitting result of calculation to the grid computing server;
The request message transmitting element; Be used for after passing through the good grid computing attribute of attribute configuration configuration of cells; To with said grid computing attribute in the corresponding grid computing server of the grid computing server address that comprises send the request message that grid computing is participated in application, comprise log-on message in the described request message;
The calculation task receiving element is used to receive the calculation task of grid computing server-assignment, said calculation task be the grid computing server to adopt the load sharing algorithm be that intelligent television distributes, log-on message is a reference quantity in the said load sharing algorithm;
Computing unit is used for the calculation task that said calculation task receiving element receives is calculated;
Result of calculation is submitted the unit, is used for submitting to the grid computing server according to the pre-configured cycle result of calculation of said computing unit.
6. device as claimed in claim 5 is characterized in that, said current communication environment comprises the operating load and the current network UNICOM state of intelligent television system;
Said operating load comprises CPU usage and RAM occupancy; Current network UNICOM state comprises whether IP is obtained in success automatically for eth0 network interface state and DHCP;
The said threshold values that is provided with in advance is that CPU usage is lower than 70%, the RAM occupancy is lower than 80%, the eth0 network interface is in good condition and IP is obtained in the DHCP success automatically.
7. device as claimed in claim 5 is characterized in that, said device also comprises:
Initialization unit is used for initialization intelligent television system, starts the local resource relevant with system service;
The program running unit is used for the operating instruction according to input, operation grid computing client-side program.
8. device as claimed in claim 5 is characterized in that, said device also comprises:
Calculating stops request unit, is used for initiatively stopping to calculate or stopping to participate in calculating to the application of grid computing server;
The resource releasing unit is used to receive the message that stops calculation task that the grid computing server returns, the local resource relevant with system service that starts when discharging said initialization unit initialization intelligent television system;
Calculating stops confirmation unit, is used for sending the affirmation message that stops to calculate to the grid computing server.
9. an intelligent television is characterized in that, said intelligent television comprises like each described grid computing device of claim 5 to 8.
10. a computing system is characterized in that, said system comprises grid computing server and the described intelligent television of claim 9.
CN201110420337.4A 2011-12-14 2011-12-14 Method and system for smart TV to realize grid computing, and smart TV Expired - Fee Related CN102546759B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201110420337.4A CN102546759B (en) 2011-12-14 2011-12-14 Method and system for smart TV to realize grid computing, and smart TV

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201110420337.4A CN102546759B (en) 2011-12-14 2011-12-14 Method and system for smart TV to realize grid computing, and smart TV

Publications (2)

Publication Number Publication Date
CN102546759A true CN102546759A (en) 2012-07-04
CN102546759B CN102546759B (en) 2014-07-09

Family

ID=46352707

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201110420337.4A Expired - Fee Related CN102546759B (en) 2011-12-14 2011-12-14 Method and system for smart TV to realize grid computing, and smart TV

Country Status (1)

Country Link
CN (1) CN102546759B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106528274A (en) * 2016-11-03 2017-03-22 许继集团有限公司 Electricity consumption information data processing method, electricity consumption information acquisition system and intelligent electric meter
CN107491351A (en) * 2016-06-13 2017-12-19 阿里巴巴集团控股有限公司 A kind of resource allocation methods based on priority, device and equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101715001A (en) * 2009-10-21 2010-05-26 南京邮电大学 Method for controlling execution of grid task
US20130159376A1 (en) * 2011-12-15 2013-06-20 Charles Moore Systems and methods for a computing resource broker agent

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101715001A (en) * 2009-10-21 2010-05-26 南京邮电大学 Method for controlling execution of grid task
US20130159376A1 (en) * 2011-12-15 2013-06-20 Charles Moore Systems and methods for a computing resource broker agent

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107491351A (en) * 2016-06-13 2017-12-19 阿里巴巴集团控股有限公司 A kind of resource allocation methods based on priority, device and equipment
US11036553B2 (en) 2016-06-13 2021-06-15 Alibaba Group Holding Limited Preempting or traversing allocated resource applications based on job priority and resource demand information
CN107491351B (en) * 2016-06-13 2021-07-27 阿里巴巴集团控股有限公司 Resource allocation method, device and equipment based on priority
CN106528274A (en) * 2016-11-03 2017-03-22 许继集团有限公司 Electricity consumption information data processing method, electricity consumption information acquisition system and intelligent electric meter

Also Published As

Publication number Publication date
CN102546759B (en) 2014-07-09

Similar Documents

Publication Publication Date Title
Varghese et al. Challenges and opportunities in edge computing
Shiraz et al. Energy efficient computational offloading framework for mobile cloud computing
Othman et al. A survey of mobile cloud computing application models
CN107231815B (en) System and method for graphics rendering
Bahwaireth et al. Experimental comparison of simulation tools for efficient cloud and mobile cloud computing applications
Jang et al. Personal clouds: Sharing and integrating networked resources to enhance end user experiences
CN106161537A (en) The processing method of remote procedure call, device, system and electronic equipment
Lee et al. Granular computing
TW201303613A (en) Distributed computing framework
CN102333065A (en) Cloud interaction protocol design
US9021008B1 (en) Managing targeted scripts
Lin et al. Novel algorithms and equivalence optimisation for resource allocation in cloud computing
WO2015095421A1 (en) New application launching
CN107040798A (en) Interaction display control method, system, server, control terminal and playback terminal
Xiong et al. Challenges for building a cloud native scalable and trustable multi-tenant AIoT platform
Hasan et al. Dynamic load balancing model based on server status (DLBS) for green computing
CN103139183A (en) Application virtualization technology based on cloud platform
CN102567116A (en) Cloud computing and virtualization system of digital home
CN113312168A (en) Page access method and electronic equipment
Hlavacs et al. Energy efficient peer-to-peer file sharing
CN102546759B (en) Method and system for smart TV to realize grid computing, and smart TV
Cerroni Network performance of multiple virtual machine live migration in cloud federations
Steffenel et al. Assessing the impact of unbalanced resources and communications in edge computing
US9668082B2 (en) Virtual machine based on a mobile device
US20220038444A1 (en) Cloud device, application processing method, electronic device and storage medium

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20140709