Patent Application
20240345889
The present invention relates to a management device and a management method, and more particularly to a management device and management method for managing grid computing.
Heretofore, there has been proposed a technique of applying a plurality of vehicles to grid computing (see, for example, the following Patent Document 1). A system described in the Patent Document 1 comprises a management device connected to a communication network, and a plurality of in-vehicle devices each mounted on a respective one of a plurality of vehicles. In this system, the management device distributes a computational job to the in-vehicle devices via the communication network, and each of the in-vehicle devices can act as a computational resource to process the computational job.
There it has also been proposed that in such a grid computing system, the management device performs accounting processing (see, for example, the following Patent Document 2). In a system described in the Patent Document 2, a reward or compensation is paid to a provider of the computational resource according to a computational amount.
In the system configured to perform an accounting process, as described in the Patent Document 2, a user who owns a computational resource (e.g. an in-vehicle device, or a personal computer) can provide computational power based on the computational resource with the aim of compensation. However, in this case, the user merely provides the computational resource to simply obtain a compensation, in an uninterested state in the content and purpose of a business (project) to which the computational power is applied, and does not feel social significance or the significance of social contribution with respect to the provision of the computational resource. Thus, in the above system, there is a problem that the user is less likely to ferment awareness of social contribution, and thus to create awareness of active participation in the business.
The present invention has been made to solve the above technical problem, and an object thereof is to provide a management device and management method which makes it easy for a user who provides a computational resource to a grid computing system to ferment awareness of social contribution with respect to the provision of the computational resource.
In order to achieve the above object, the present invention provides a management device used in a grid computing system in which the management device causes a computing device of a user connected thereto via a communication network to computationally process a computational job selected from a plurality of computational jobs by the user, wherein the management device is configured to execute compensation calculation processing of calculating a first compensation and a second compensation to be given to the user with respect to execution of the selected computational job by the computing device of the user, the management device storing a plurality of evaluation values each set to a respective one of the plurality of computational jobs, wherein the compensation calculation processing comprises: first processing of calculating a first compensation value of the first compensation to be given to the user according to a computational amount of computational processing executed for the selected computational job; and second processing of calculating and storing a second compensation value of the second compensation to be given to the user according to the evaluation value set for the selected computational job, and wherein the management device is configured to, in the first processing, calculate the first compensation value to have a larger value, as a cumulative value of the second compensation values which have been previously calculated and stored has a larger value.
In the present invention having the above feature, when the user provides the computational processing power of the computing device, the management device calculates the first compensation value of the first compensation to be given to the user according to the provided computational amount, and the second compensation value of the second compensation. The first compensation value is set to have a larger value as the cumulative value of the second compensation values has a larger value. The first compensation value and the second compensation value are calculated according to the provided computational amount, and the evaluation value for the selected computational job, respectively. Thus, the user will select the computational job by considering the evaluation value of the computational job, such that the first compensation value obtainable by the same computational amount increases, and the cumulative value of the second compensation values increases efficiently. Accordingly, in the present invention, it is possible to construct a mechanism for making it easy for a user to refer to at least the evaluation values of the computational jobs to actively determine the computational job, instead of simply selecting the computational job, and preferably to ferment awareness of social contribution with respect to provision of a computational resource.
Preferably, in the management device of the present invention, the management device is configured to provide the evaluation values of the plurality of computational jobs to the user via the communication network. According to this feature, the user can refer to the evaluation values of the plurality of computational jobs to select one participating computational job.
Preferably, in the management device of the present invention, the first compensation is set as a compensation convertible to a currency value, and the second compensation is set as a compensation inconvertible to a currency value. According to this feature, a user generally wishes to obtain the first compensation convertible to a currency value, more than the second compensation inconvertible to a currency value. However, in order to obtain more the first compensation, it is necessary that the second compensation has been already obtained in a larger amount. Therefore, the user will consider which computational job should be selected while taking into consideration the evaluation value, etc. Accordingly, the present invention makes it possible to to enhance user's awareness of participation in grid computing or of social contribution.
Preferably, in the management device of the present invention, the management device accepts a selection of the computational job selected by the user via the communication network, and causes the computing device to execute the computational processing of the selected computational job. According to this feature, the management device can cause the user who submitted a participation application via the communication network to participate in the grid computing.
Preferably, in the management device of the present invention, the management device calculates the second compensation value by multiplying a total computational amount provided to the selected computational job by the evaluation value for the selected computational job. According to this feature, the user can obtain more the second compensation value as the evaluation value has a larger value.
Preferably, in the management device of the present invention, the management device calculates and stores a cumulative value of the second compensation values which have been given to the user. According to this feature, the first compensation value can be calculated based on the stored cumulative value.
Preferably, in the management device of the present invention, the first compensation value is a sum of a basic compensation value and an additional compensation value, wherein the basic compensation value is calculated as a value proportional to the computational amount, and the additional compensation value is calculated to have a larger value as the cumulative value of the second compensation values has a larger value. Preferably, in the management device of the present invention, the first compensation value is calculated by multiplying the computational amount by a compensation factor, wherein the compensation factor is set to have a larger value as the cumulative value of the second compensation values has a larger value.
In order to achieve the above object, the present invention also provides a management method used in a grid computing system in which a management device causes a computing device of a user connected thereto via a communication network to computationally process a computational job selected from a plurality of computational jobs by the user, the management method comprising: a step of storing, by the management device, a plurality of evaluation values each set to a respective one of the plurality of computational jobs; and a compensation calculation step of calculating, by the management device, a first compensation and a second compensation to be given to the user with respect to execution of the selected computational job by the computing device of the user, wherein the compensation calculation step includes: a first step of calculating, by the management device, a first compensation value of the first compensation to be given to the user according to a computational amount of computational processing executed for the selected computational job; and a second step of calculating and storing, by the management device, a second compensation value of the second compensation to be given to the user according to the evaluation value set for the selected computational job, wherein in the first processing, the first compensation value is calculated to have a larger value, as a cumulative value of the second compensation values which have been previously calculated and stored has a larger value.
The management device and management method of the present invention make it easy for a user who provides a computational resource to a grid computing system to ferment awareness of social contribution with respect to the provision of the computational resource.
With reference to the drawings, one embodiment of the present invention will now be described. It should be noted that the same or equivalent elements or parts in the figures are assigned with the same reference sign, and duplicated description thereof will be omitted.
When the computing power or computational power of the computing device 105 becomes necessary in the vehicle 10, the computing device 105 enters an operating state to use the computational power of the computing device 105. For example, when the vehicle 10 is traveling, the computational power of the computing device 105 becomes necessary for travel control of the vehicle 10, and thus the computing device 105 enters an operating state.
On the other hand, when the computational power of the computing device 105 becomes unnecessary in the vehicle 10, the computing device 105 enters a non-operating state, and thus the computational power of the computing device 105 becomes unused. For example, when the vehicle 10 is stopped and powered off, the computational power of the computing device 105 becomes unnecessary, and the computing device 105 enters a non-operating state. Thus, when the computational power of the computing device 105 is unnecessary in the vehicle 10, the computing device 105 can provide the computational power thereof to the grid computing processing, thereby effectively using the computational power (i.e., computational resource) of the computing device 105.
The actuator 11 includes a drive-train actuator, a steering system actuator, and a braking system actuator. Examples of the drive-train actuator include an engine, a transmission, and a motor. Examples of the braking systems actuator include a braking device. Examples of the steering system actuator include a steering wheel.
The sensor 12 acquires various information used for control of the vehicle 10. Examples of the sensor 12 include a vehicle exterior camera for imaging the outside of the vehicle, a vehicle interior camera for imaging the inside of the vehicle, a radar for detecting objects outside the vehicle, a vehicle speed sensor, an acceleration sensor, a yaw rate sensor, an accelerator position sensor, a steering sensor, and a brake hydraulic pressure sensor.
The input part 101 is a device for inputting information or data. Examples of the input part 101 include: a manual operation part for, when operated, inputting information corresponding to the operation; a camera for inputting an image indicative of information; and a microphone for inputting voice indicative of information. Examples of the manual operation part include a manual operation button or a touch sensor of a car navigation device. The information or data input to the input part 101 are sent to the computing device 105.
The output part 102 is a device for outputting information or data. Examples of the output part 102 include a display part for outputting an image indicative of information, and a speaker for outputting audio indicative of information. Examples of the display part include a display of a car navigation device. Examples of the speaker include a speaker of a car navigation device.
The communication part 103 is a device for transmitting and receiving information or data. The information or data received by the communication part 103 are sent to the computing device 105. The storage part 104 is a storage device for storing information or data. The storage part 104 may be provided in the computing device 105.
The computing device 105 is a device for controlling each component of the vehicle 10. In this embodiment, the computing device 105 controls the actuator 11 according to various information obtained by the sensor 12. The computing device 105 is a computer device comprising a processor, and a memory. Examples of the processor include a central processing unit (CPU), a graphics processing unit (GPU), and a media processing unit (MPU). In this embodiment, the processor comprises a CPU and a GPU. The memory stores a program for operating the processor, information or data indicative of processing results of the processor, etc.
It should be noted that the number of processors to be mounted on the computing device 105 may be one or may be two or more. A processor to be mounted on the computing device 105 may comprise one or more of a CPU and a GPU and a GPU. For example, the computing device 105 may be composed of one or more electric control units (ECUs).
In this embodiment, the storage part 104 stores vehicle information D11, vehicle state information D12, travel history information D13, computing device information D14, and operation history information D15.
The vehicle information D11 is information about the vehicle 10. For example, the vehicle information D11 includes a vehicle ID set for the vehicle 10, and vehicle performance information indicative of performance of the vehicle. The vehicle ID is one example of vehicle identification information which identifies the vehicle 10. A user ID is one example of user identification information which identifies the user.
The vehicle state information D12 indicates the state of the vehicle 10. Examples of the vehicle state information D12 include vehicle location information, vehicle communication information, vehicle power supply information, vehicle battery remaining amount information, and vehicle charging information. The vehicle location information indicates the location (latitude and longitude) of the vehicle 10. For example, the vehicle location information can be obtained by a global positioning system (GPS). The vehicle communication information indicates a communication state of the vehicle 10. The vehicle power supply information indicates the state of a power supply of the vehicle 10. For example, the vehicle power supply information indicates on/off of an ignition power supply, on/off of an accessory power supply, etc. The vehicle battery remaining amount information indicates a remaining amount of the battery (illustration is omitted) mounted on the vehicle 10. The vehicle charging information indicates whether or not the vehicle 10 is charging in the charging facility (illustration is omitted).
The travel history information D13 is information indicative of a travel history of the vehicle 10. For example, the travel history information D13 indicates the location of the vehicle 10 and time in association with each other.
The computing device information D14 is information about the computing device 105. Examples of the computing device information D14 include: a computing device ID set for the computing device 105; a vehicle ID set for the vehicle 10 on which the computing device 105 is mounted; and computing device performance information indicative of performance of the computing device 105. The computing device ID is one example of computing device identification information which identifies the computing device 105. The performance of the computing device 105 to be indicated by the computing device performance information includes a computational power indicative of the computational power (specifically, maximum computational power) of the computing device 105, and the ratio between the CPU and the GPU in the computing device 105. The computational power of the computing device 105 means the amount of data or the number of computational processings (computational amount) which can be computed per unit time by the computing device 105.
The operation history information D15 is information indicative of an operation history of the computing device 105. For example, the operation history information D15 indicates a usage rate of the computational power of the computing device 105 and time in association with each other.
The input part 201 is a component for inputting information or data. Examples of the input part 201 include: a manual operation part for, when operated, inputting information corresponding to the operation; a camera for inputting an image indicating information, and a microphone for inputting voice indicating information. Examples of the manual operation part include a manual operation button, and a touch sensor. The information input to the input part 101 is sent to the computing device 105.
The output part 202 is a component for outputting information or data. Examples of the output part 202 include a display part for outputting an image indicating information, and a speaker for outputting audio indicating information.
The communication part 203 is a component for transmitting and receiving information or data. The information or data received by the communication part 303 is sent to the control part 205. The storage part 204 is a storage device for storing information or data.
The control part 205 is a component for controlling each section of the user terminal 20. The control part 205 comprises a processor, and a memory. The memory stores a program for operating the processor, information or data indicating processing results of the processor, etc.
In this embodiment, the storage part 204 stores terminal information D21, terminal state information D22, and schedule information D23.
The terminal information D21 is information about the user terminal 20. Examples of the terminal information D21 include a user terminal ID set for the user terminal 20, and user terminal performance information indicative of performance of the user terminal 20. The user terminal ID is one example of user terminal identification information which identifies the user terminal 20.
The terminal state information D22 is information indicative of the state of the user terminal 20. The terminal state information D22 includes user terminal location information indicative of the location of the user terminal 20, and user terminal communication state information indicative of the communication state of the user terminal 20.
The schedule information D23 indicates an action history and action schedule of the user owning the user terminal 20. For example, the schedule information D23 indicates the location of the user and a stay period (or scheduled stay period) in association with each other. The schedule information D23 can be acquired by a scheduling function incorporated in the user terminal 20. Specifically, the user can input his/her action history and action schedule to the user terminal 20 using the scheduling function so as to provide the schedule information D23 indicative of the action history and action schedule of the user.
The input part 301 is a device for inputting information or data. Examples of the input part 301 include: a manual operation part for, when operated, inputting information corresponding to the operation; a camera for inputting an image indicative of information; and a microphone for inputting voice indicative of information. Examples of the manual operation part include a manual operation button, a touch sensor, a keyboard, and a mouse. The information or data input to the input part 301 are sent to the control part 305.
The output part 302 is a device for outputting information or data. Examples of the output part 302 include a display part for outputting an image indicating information, and a speaker for outputting audio indicating information. The communication part 303 is a device for transmitting and receiving information or data. The information or data received by the communication part 303 is sent to the control part 305. The storage part 304 is a storage device for storing information or data.
The control part 305 is a device for controlling each section of the client server 30. The control part 305 comprises a processor, and a memory. The memory stores a program for operating the processor, and information or data indicating processing results of the processor.
In this embodiment, the storage part 304 stores client information D31, job/project information D32, and job data D1.
The client information D31 is information about the client. The client information D31 includes a client ID set for the client, a client server ID set for the client server 30 owned by the client, and the person-in-charge name, address and telephone number of the client. The client ID is one example of client identification information which identifies the client. The client server ID is one example of client server identification information which identifies the client server 30.
The job/project information D32 includes project information about a business or project to be implemented by the client, and job information about a computational job to be performed for the project. The project information includes the name of the project, the content of the project, a scheduled completion date of the project, and the degree (%) of progress of the project. The job information includes a computation type of the computational job, a processing condition, a required computational power, and job delivery date information indicating a delivery date of the computational job, etc.
The Job data D1 is computational processing data (computational job) necessary to complete the project. The computational job is computational processing constituting a part of the project, and may be, for example, simulation computation. The job data D1 can be classified by computation types. Examples of the computation types include a CPU-based computation type, and a GPU-based computation type. In the CPU-based computation-type job data D1, complicated computation having many conditional branches, such as simulation computations, tends to be required. In the GPU-based computation-type job data D1, a vast amount of simple computations, such as image processing and machine learning, tend to be required. The job data D1 can also be classified by processing conditions. Examples of the processing conditions include a processing condition requiring constant or continuous communication, and a processing condition which does not require constant or continuous communication.
As shown in
In this embodiment, the storage part 404 stores facility information D41 and facility usage information D42. The facility information D41 is information about the facility. The facility information D41 includes: a facility ID set for the facility; a facility server ID set for the facility server 40 owned by the facility; facility location information indicative of the location (latitude and longitude) of the facility; and the person-in-charge name, address and telephone number of the facility. The facility ID is one example of facility identification information which identifies the facility. The facility server ID is one example of facility server identification information which identifies the facility server 40.
The facility usage information D42 indicates a usage status (usage history and usage schedule) of the facility. Specifically, the facility usage information D42 indicates a user who visits the facility and a stay period (or scheduled stay period) in association with each other.
In this embodiment, the storage part 504 stores a user table D51, a computing device table D52, a client table D53, a job/project table D54, a resource table D55, a matching table D56, the job data D1, and computational result data D2.
The user table D51 is a table for managing a plurality of users. The user table D51 is configured to, with respect to each user, register therein the user ID set for the user, the vehicle ID set for a vehicle 10 owned by the user, the computing device ID set for a computing device 105 owned by the user, the user terminal ID set for a user terminal 20 owned by the user, etc.
The computing device table D52 is a table for managing a plurality of computing devices 105. The computing device table D52 is configured to, with respect to each computing device 105, register therein the computing device ID set for the computing device 105, the user ID set for a user owning the computing device 105, the vehicle ID set for a vehicle 10 on which the computing device 105 is mounted, etc.
Further, with respect to each computing device 105, the computing device table D52 resisters therein performance (computational power, ratio between CPU and GPU, etc.) of the computing device 105, an operation status (operation history and operation schedule) of the computing device 105, etc. In other words, the computing device table D52 includes: operation status information D5 indicative of the operation status in each of the plurality of computing devices 105; and performance information D6 indicative of performance of each of the plurality of computing devices 105. The performance information D6 includes computational power information D7 indicative of computational power of each of the plurality of computing devices 105.
The client table D53 is a table for managing a plurality of clients. The client table D53 is configured to, with respect to each client, register therein the client ID set for the client, the client server ID set for a client server 30 owned by the client, the person-in-charge name, address and telephone number of the client, etc.
The job/project table D54 is a table for managing jobs and projects requested from one or more clients. With respect to each job, the job/project table D54 includes an acceptance number set for the job, a registration date when the request of the job is accepted, the client ID set to the client who requested the job, the job information of the job, the project information of the project including the job, and project evaluation information.
The job information includes the computation type of the computational job, the processing condition, the required computational power, the job delivery date information indicating the delivery date of the computational job, an estimated total computational amount, an executed computational amount, and the degree (%) of progress of the job. The degree of progress of the job is the rate (percentage) of the executed computational amount to the estimated total computational amount of the computational job. The management server 50 preliminarily computes and stores the total computational amount of the computational job, and updates the degree of progress of the job along with execution of the computational processing of the computational job by the computing devices 105.
The project information includes the name of the project, the content of the project, the scheduled completion date of the project, and the degree (%) of progress of the project. The project information is information obtained from each client. The degree of progress of the project is the value of the degree of progress of the project self-evaluated by the client. The management server 50 updates the degree of progress of the project based on data received from the client server 30 at a predetermined time or periodically.
Further, an operator of the management server 50 evaluates the project based on the project information acquired from the client to create the project evaluation information, and inputs it to the management server 50. This processing is performed when accepting a request for computational processing of a computational job from the client. That is, the operator estimates the degree of social influence (A) and the degree of achievement difficulty (B) of the project, and generates an evaluation value or evaluation factor (C) based on them (see
In this embodiment, the evaluation value C is a numerical index representing the value of the project. As the evaluation value C increases beyond 1, the project is evaluated to have greater value. The evaluation value C is a numerical value used as a multiple when calculating a second compensation value Rs of the after-mentioned second compensation ES. That is, the evaluation value C is a compensation rate for the after-mentioned second compensation ES on which the value of the project is reflected
In this embodiment, each of the degree of social influence A and the degree of achievement difficulty B of the project is evaluated on plural levels of 1 (low) to 5 (high), and a product of the resulting evaluated levels is set as the evaluation value C (C=A×B). Alternatively, indices such as the degree of social influence, the degree of achievement difficulty, and the degree of social contribution may be set, and then one or more of them may be combined (product or sum) to set the evaluation value. It should be noted that, instead of creating the project evaluation information by the operator, the management server 50 may learn and analyze the project information using machine learning to create the project evaluation information.
The project evaluation information also includes status information (“active (ongoing)”, “complete”, etc.) indicative of a progress status of the project. When the management server 50 determines that the project has been completed, the management server 50 updates the status information from “active” to “complete”. Specifically, the management server 50 periodically determines whether or not the entire computational processing of the computational job had been completed, i.e., the degree of progress of the job becomes 100%, and the degree of progress of the project becomes 100%, and determines, when these conditions are satisfied, that the project has been completed. It should be noted that, instead of performing the above determination by the management server 50, the operator may update the status information based on the degree of progress of the computational job and the degree of progress of the project.
The resource table D55 is a table for managing the computational power in the grid computing processing. Specifically, the resource table D55 is a table for managing the results of the after-mentioned prediction processing. With respect to each computing device 105, the resource table D55 registers therein the computing device ID set for the computing device 105, a prediction result of a temporal change in the computational power of the computing device 105 usable during the grid computing processing, etc.
The matching table D56 is a table for managing the results of the after-mentioned matching processing. With respect to each job, the matching table D56 registers therein an acceptance number set for the job, job data corresponding to the job, the computing device ID set in the computing device 105 assigned to the job data by the after-mentioned matching processing, etc.
The job data D1 stored in the storage part 504 is the job data D1 accepted by the after-mentioned job acceptance processing.
The computational result data D2 stored in the storage part 504 is job data computed by the after-mentioned grid computing processing, and indicates the result of the computation.
Next, update of the user table D51 will be described. The user table D51 is updated by the control part 505 of the management server 50. For example, when a new user participates in the system 1, the control part 505 updates the user table D51 by registering information regarding the new user in the user table D51.
Specifically, the control part 505 newly sets the user ID to the new user, and registers the “user ID” set for the new user, the “vehicle ID” set in a vehicle 10 owned by the new user, the “computing device ID” set for a computing device 105 mounted on the vehicle 10, and the “user terminal ID” set for a user terminal 20 owned by the new user, in the user table D51 in association with each other.
The “vehicle ID” and the “computing device ID” associated with the new user can be obtained through communication between the vehicle 10 owned by the new user and the management server 50. The “user terminal ID” associated with the new user can also be obtained through communication between the user terminal 20 owned by the new user and the management server 50.
Next, update of the computing device table D52 will be described. The computing device table D52 is updated by the control part 505 of the management server 50. For example, when a new computing device 105 participates in the system 1, the control part 505 updates the computing device table D52 by registering information regarding the new computing device 105 in the computing device table D52.
Specifically, the control part 505 registers the “computing device ID” set for the new computing device 105, the “user ID” set for a user owning the new computing device 105, the “vehicle ID” set for a vehicle 10 on which the new computing device 105 is mounted, and the “performance” and “operation status” of the new computing device 105, in the computing device table D52 in association with each other.
The “computing device ID”, “vehicle ID”, “performance” and “operation status” associated with the new computing device 105 can be obtained through communication between the vehicle 10 on which the new computing device 105 is mounted and the management server 50. The “user ID” associated with the new computing device 105 can also be obtained by referring to the user table D51.
The “operation status” of each computing device 105 registered in the computing device table D52 is periodically updated. In other words, the operation status information D5 included in the computing device table D52 are periodically updated. This periodic update is performed by the control part 505 of the management server 50.
In first update processing, the control part 505 requests the vehicle 10 on which the computing device 105 is mounted, for access to the “operation history information D15”. In response to the request, the computing device 105 of the vehicle 10 permits access to the “operation history information D15”. Based on the operation history of the computing device 105 shown in the operation history information D15, the control part 505 updates the “operation history” which is a past operation status as a part of the “operation status” of the computing device 105, registered in the computing device table D52.
In second update processing, the control part 505 requests the vehicle 10 on which the computing device 105 is mounted, for access to the “travel history information D13”. In response to the request, the computing device 105 of the vehicle 10 permits access to the “travel history information D13”. Based on the travel history of the vehicle 10 shown in the travel history information D13, the control part 505 estimates the operation history of the computing device 105. Then, based on the estimated operation history of the computing device 105, the control part 505 updates the “operation history” which is a past operation status as a part of the “operation status” of the computing device 105 registered in the computing device table D52.
In third update processing, the control part 505 requests the user terminal 20 owned by a user owning the computing device 105, for access to the “schedule information D23”. In response to the request, the control part 205 of the user terminal 20 permits access to the “schedule information D23”. The control part 505 detects an action status related to the vehicle 10 on which the computing device 105 is mounted, from among action statuses (action histories and action schedules) of the user shown in the schedule information D23.
For example, an action history indicating that the user rode in the vehicle 10 is detected from among action histories which are past action statuses as a part of the action statuses of the user, and an action schedule indicating that the user is scheduled to ride in the vehicle 10 is detected from among action schedules which are future action statuses as the remaining part of the action statuses of the user.
Subsequently, the control part 505 estimates a travel status (travel history and travel schedule) of the vehicle 10 based on the detected action status of the user. Then, based on the estimated travel status of the vehicle 10, the control part 505 estimates the operation status (operation history and operation schedule) of the computing device 105. Then, based on the estimated operation status of the computing device 105, the control part 505 updates the “operation status” of the computing device 105 registered in the computing device table D52.
In the fourth update processing, the control part 505 requests the facility server 40 for access to the “facility usage information D42”. In response to this request, the facility server 40 permits access to the “facility usage information D42”. The control part 505 detects a usage status related to the vehicle 10 on which the computing device 105 is mounted, from among usage statuses (usage histories and usage schedules) of the facility indicated in the facility usage information D42.
For example, a usage history indicating that a user rode in the vehicle 10 is detected from among usage histories which are past usage statuses as a part of the usage statuses of the facility, and a usage schedule indicating that the user is scheduled to ride in the vehicle 10 is detected from among usage schedules which are future usage statuses as the remaining part of the usage statuses of the facility.
Subsequently, the control part 505 estimates the travel status (travel history and travel schedule) of the vehicle 10 based on the detected usage status of the facility. Then, the control part 505 estimates the operation status (operation history and operation schedule) of the computing device 105 based on the estimated travel status of the vehicle 10. Then, the control part 505 updates the “operation status” of the computing device 105 registered in the computing device table D52 based on the estimated operation status of the computing device 105.
Next, update of client table D53 will be described. The client table D53 is updated by the control part 505 of the management server 50. For example, when a new client participates in the system 1, the control part 505 updates the client table D53 by registering information regarding the new client in the client table D53.
Specifically, the control part 505 newly sets the client ID for the new client, and registers the “client ID” set for the new client, the “client server ID” set for a client server 30 owned by the new client, the “person-in-charge name”, “address” “telephone number” of the new client in the client table D53, in association with each other. The “client server ID”, “person-in-charge name”, “address” and “telephone number” of the new client can be obtained through communication between the client server 30 and the management server 50.
Next, with reference to
The first compensation EP is a compensation having an economic value and is convertible to a currency value by a predetermined conversion factor. For example, the first compensation EP is a point usable in the system 1, a virtual currency (cryptocurrency), a discount privilege of goods, or the like. The first compensation value Rp of the first compensation EP is calculated based on a computational amount Q executed in computational processing of a computational job by the computing device 105.
The management server 50 divides the computational job into a plurality of computational blocks, and the computing device 105 calculates some of the divided computational blocks. For example, one computational block is set as one computational unit, and the first compensation value Rp of the first compensation EP is calculated by multiplying the number of the computational units (computational amount Q) executed by the computing device 105 by a compensation factor Ec (i.e., Rp=Q×Ec). Thus, a user obtains the first compensation EP, depending simply on the provided computational amount Q (i.e. the number of computational unit), regardless of the content of a project and without other restrictions.
However, in this embodiment, as shown in
On the other hand, the second compensation ES is set such that the second compensation value Rs thereof varies depending on the content of a project and other conditions. Further, the second compensation ES is an honorary compensation to be given to the user when the project is completed and useful for the society. Therefore, differently from the first compensation EP, the second compensation ES has no economic value, and is inconvertible to a currency value. In this embodiment, the second compensation ES is used to determine the user rank.
As shown in
The second compensation value Rs of the second compensation ES is calculated by multiplying the evaluation value C. i.e., a compensation rate of the project, by the total value QT of the computational amounts Q provided by the user (i.e., Rs=QT×C). The evaluation value C is set to a large value as the degree of social influence A of the project is large and the degree of achievement difficulty B is higher. Thus, when the user selects a project having a large evaluation value C, it may be possible to obtain more the second compensation ES.
However, the second compensation ES is given when the project has been completed (i.e. when the status information is updated to “completed”), as described above. That is, the user can obtain the second compensation ES when the project has been successfully completed, but cannot obtain the second compensation ES if the project has failed and has been ceased. As the evaluation value C has a larger value, the possibility that the project will be incomplete becomes higher. Therefore, the user will try to refer to the content of the project, the degree of progress of the project, etc., in addition to the project evaluation information, to make a selection to meaningfully use the limited computational resource of the user in a social and economical sense.
The control part 505 of the management server 50 registers the calculated first compensation value Rp of the first compensation EP and the calculated second compensation value Rs of the second compensation ES in a user account in the user table D51 in association with the user ID. The user rank and the compensation factor Ec are set to the user table D51 according to the cumulative value Rst of the second compensation values Rs of the second compensation ES registered in the user table D51. Further, the control part 505 may transfer an equivalent amount of the first compensation value Rp of the first compensation EP to a bank account of the user. Alternatively, instead of the management server 50, the client server 30 may perform the processing of giving the compensation to the user.
Next, with reference to
As shown in
The control part 505 requests the client server 30 to transmit information required for acceptance of a job (specifically, client information about the client requesting the job, and job/project information about the job and a project). In this embodiment, the control part 505 transmits image data of a job acceptance screen to the client server 30. The control part 305 of the client server 30 reproduces an image of the job acceptance screen from the image data, and outputs (displays) the image onto the output part 302 (display part).
As shown in
The person-in-charge of the client operates the input part 301 (manual operation part) of the client server 30 to input information required for the job acceptance screen. Thus, the client information about the client requesting the job, and the job/project information about the job and project are input. Then when the input of these information is completed, the person-in-charge of the client operates the input part 301 (manual operation part) of the client server 30 to press the registration button B100 of the job acceptance screen. When the registration button B100 is pressed, the control part 305 of the client server 30 transmits the information (client information, and job/project information) input to the job acceptance screen to the management server 50. The control part 505 of the management server 50 receives the client information and the job/project information,
Then, the control part 505 requests the client server 30 to transmit the job data D1 corresponding to the job. In response to this request, the control part 305 of the client server 30 transmits the job data D1 corresponding to the job to the management server 50. The control part 505 of the management server 50 receives the job data D1.
Subsequently, the control part 505 of the management server 50 analyzes the job data D1 received in the step S11 (S12). Specifically, the control part 505 analyzes the computation type, processing condition, required computational power, etc., of the job data D1. Then, the control part 505 corrects the job/project information received in the step S11, based on the result of the analysis of the job data D1. If the job/project information received in the step S11 is sufficiently reliable, the processing in step S12 may be omitted.
Subsequently, the control part 505 of the management server 50 associates the client information received in the step S11 with the job/project information corrected as needed in the step S12 (or the job/project information received in the step S11), and registers them in the job/project table D54 (S13). Further, the control part 505 stores the job data D1 received in the step S11, in the storage part 504.
Next, with reference to
The project list includes recruitment information about the plurality of projects. With regard to each project, the recruitment information is determined based on the job/project information (project information, job information, project evaluation information, and status information), etc., registered in the job/project table D54. Specifically, the recruitment information includes the name, content, registration date, and schedule completion date of the project, the degree of progress of the project, the name of a client, the computation type of a computational job, the processing condition of the computational job, the required computational power of job data, the content of a compensation, the start date of the recruitment, the end date of the recruitment, the degree of progress of the computational job, the project evaluation information (degree of social influence A, degree of achievement difficulty B, evaluation value C, and status information), etc. As above, the recruitment information includes information for allowing the user to evaluate the value of the job or project when selecting the job or project.
The user can refer to the content, degree of progress, project evaluation information, etc. of each project, to select one or more projects to which the computational resource is provided, and designates a computation provision period (e.g. per month). When selecting two or more projects, the user can set an assignment ratio (e.g. computational time ratio) of the computational resource for each project.
First of all, as shown in
Then, the user selects, from among the projects introduced to the project list presented to the user terminal 20, a project to which the user wishes to provide the computational power of the computing device 105. Specifically, the user operates the input part 201 (manual operation part) of the user terminal 20 to select desired one or more projects from the project list, and input the computation provision period, and a computational resource distribution ratio for each project, to complete participation application information, and then presses a participation button on the screen. In response to pressing the participation button, the control part 205 of the user terminal 20 transmits the participation application information to the management server 50. The control part 505 of the management server 50 receives the participation application information from each user (S22).
Then, based on the received participation application information, the control part 505 of the management server 50 updates the job/project table D54 (S23). Specifically, with respect to each project, the control part 505 registers the “user ID” of the user who submitted the participation application.
Next, with reference to
Firstly, the control part 505 acquires the “computational power” and the “operation state” of the computing devices 105 registered in the computing device table D52 (S31). In other words, the control part 505 acquires the computational power information D7 and the operation status information D5 included in the computing device table D52.
Then, with respect to each computing device 105, the control part 505 predicts a temporal change in computational power of the computing device 105 usable in the grid computing processing, based on the computational power of the computing device 105 shown in the computational power information D7 and the operation status of the computing device 105 shown in the operation status information D5 (S32).
Specifically, the control part 505 predicts a tendency (pattern) of a change in usage rate of the computational power of the computing device 105, from the operation status of the computing device 105 shown in the operation status information D5. The prediction of the tendency of the change in the usage rate of the computational power of the computing device 105 may be realized by machine learning. Then, the control part 505 predicts a period during which the computational power of the computing device 105 has a margin (period during which the utilization rate of the computational power is not 100%), based on the tendency of the change in the usage rate of the computational power of the computing device 105, and defines such a period as “a period during which the computational power of the computing device 105 can be used for the grid computing processing”. For example, the control part 505 defines a period during which the usage rate of the computational power of the computing device 105 is “30%”, as a period during which “70%” of the computational power of the computing device 105 can be used during the grid computing processing.
Then, with respect to each computing device 105, the control part 505 registers the temporal change (predicted in step S32) in the computational power of the computing device 105 usable in the grid computing processing (S33). In this way, the resource table D55 is updated.
Next, with reference to
Firstly, the control part 505 selects a project as the subject of the matching processing from among the projects registered in the job/project table D54 (S41). Then, from among plural pieces of the job data D1 stored in the storage part 504, the control part 505 selects job data D1 corresponding to the project as the subject of the matching processing.
Then, based on the prediction result of the temporal change of the computational power usable in the grid computing processing with regard to each of the plurality of computing devices 105 registered in the resource table D55, the control part 505 selects, from among the plurality of computing devices 105, some computing devices 105 usable during the grid computing processing for the job data D1 selected in the step S41 (S42). Specifically, the control part 505 determines a scheduled computation period during which the grid computing processing for the job data D1 is to be executed, and detects some computing devices 105 each capable of providing the computational power during the scheduled computation period, from among the computing devices 105 of the plurality of users who have submitted the participation application to the relevant project.
Then, with regard to the job data D1, the control part 505 assigns a computation period of each of the computing devices 105. Specifically, the control part 505 sets an assignment period (time and date) of each of the plurality of computing devices 105 related to the participation application, such that the total computational amount to be assigned to the plurality of computing devices 105 related to the participation application becomes equal to or greater than the computational amount of the job data D1 during the scheduled computation period (S43). Then, the control part 505 registers, in the matching table D56, matching result information indicative of assignment of the computing devices 105 to the job data D1. The computational processing of the job data D1 is divided into a large number of computational units, and is continuously or intermittently executed by the computing devices 105 for a predetermined length of scheduled computation period.
Next, with reference to
When the computational amount of the job data D1 is relatively large, the computational processing of the job data D1 is divided into a plurality of sessions, and the grid computing processing will be continuously or intermittently performed for a long period of time until the computation of the job data D1 is completed. In this case, the following processing is performed in units of session.
Firstly, the control part 505 refers to the matching table D56 to distribute the job data D1 as the subject of the grid computing processing to the computing devices 105 assigned to the job data D1 in the matching processing (S51). Specifically, the control part 505 transmits parts of the job data D1 to the computing devices 105 assigned to the job data D1, respectively. Thus, the job data D1 is processed in parallel by the computing devices 105 assigned to the job data D1.
Subsequently, when the computation of data (part of the job data D1) transmitted to each of the computing devices 105 is completed, each of the computing devices 105 transmits partial computational result data obtained by the computation, to the management server 50. The control part 505 of the management server 50 receives the partial computational result data transmitted from each of the computing devices 105, and stores the partial computational result data in the storage part 504 (S52). Further, when the management server 50 receives the partial computational results from each of the computing devices 105, it stores the computational amount assigned to each of the computing devices 105 in the job/project table D54.
The control part 505 determines whether all of the computing devices 105 to which the job data D1 is distributed in the step S51 have completed their computations (S53). When all the computing devices 105 have completed the computations, processing of step S54 is performed. On the other hand, if not, the processing of the step S52 is performed.
When all the computing devices 105 have completed the computations, the control part 505 combines the plural pieces of partial computational result data stored in the storage part 504 to generate computational result data D2 corresponding to the job data D1 as the subject of the grid computing processing (computational result data D2 indicative of the result of computation of the job data D1). Then, the control part 505 transmits the computational result data D2 corresponding to the job data D1 as the subject of the grid computing processing, to the client server 30 of the client requesting the computation of the job data D1 (S54). Further, the control part 505 turns on and stores an end flag of the session.
Next, with reference to
The control part 505 determines whether the session of each project has ended (S61). Specifically, when the session end flag is in an ON state (S61: YES), the control part 505 executes first processing of the compensation calculation processing and turns off the end flag (S62). More specifically, the control part 505 calculates a compensation (first compensation EP) to be given from the operator operating the system 1 to a user who provided the computational power of the computing device 105 to the grid computing process of the relevant session.
As the first processing of the compensation calculation processing, the control part 505 calculates the first compensation value Rp of the first compensation EP by multiplying the computational amount Q (the number of computational units) executed in the relevant session by each computing device 105 by the compensation factor Ec (Rp=Q×Ec). The calculated first compensation value Rp is registered in the user table D51 in association with the “user ID” of each user. The calculation amount Q of each user in the relevant session and the compensation factor Ec of each user are stored in the user table D51.
On the other hand, when the session end flag is in an OFF state (S61: NO) and the first processing (S62) is terminated, the control part 505 updates the status information (S63). Therefore, with regard to the relevant project, the control part 505 acquires the degree of progress thereof and the degree of progress of the job thereof, from the job/project table D54. When the degree of progress of the project received from the client is 100%, and the degree of progress of the job is 100%, the control part 505 updates the status information to “complete”.
Then, when the status information is “complete” (S64: YES), the control part 505 executes second processing (S65). On the other hand, if the status information is not “complete” or has been previously “complete” (S64; NO), the control part 505 terminates the processing.
As the second processing of the compensation calculation processing, the control part 505 calculates the second compensation value Rs of the second compensation ES by multiplying the total computational amount QT (the number of total computational units) executed by each computing device 105 by the evaluation value C which is a compensation rate (Rs=QT×C). The calculated second compensation value Rs of the second compensation ES is registered in the user table D51 in association with the “user ID” of each user. At this time, the control part 505 adds the second compensation values Rs given to each user together and registers the cumulative value Rst in the user table D51.
It should be noted here that the second compensation value Rs is not necessarily proportional to the total computational amount QT, but may be a fixed value. For example, the fixed value may be varied depending on the time when a user submits a participation application. Specifically, the management device 50 may set the project list such that the second compensation value Rs increases as the timing when a user submits a participation application becomes earlier.
Next, the operation/function of the management device and the management method according to the above embodiment will be described.
According to the above embodiment, there is provided a management device 50 used in a grid computing system 1 in which the management device 50 causes a computing device 105 of a user connected thereto via a communication network 5 to computationally process a computational job D1 selected from a plurality of computational jobs D1 by the user, wherein the management device 50 is configured to execute compensation calculation processing of calculating a first compensation EP and a second compensation ES to be given to the user with respect to execution of the selected computational job D1 by the computing device 105 of the user, the management device 50 storing a plurality of evaluation values C each set to a respective one of the plurality of computational jobs D1, wherein the compensation calculation processing comprises: a first processing (S62) of calculating a first compensation value Rp of the first compensation EP to be given to the user according to a computational amount Q of computational processing executed for the selected computational job D1; and a second processing (S65) of calculating and storing a second compensation value Rs of the second compensation ES to be given to the user according to the evaluation value C set for the selected computational job D1, and wherein the management device 50 is configured to, in the first processing, calculate the first compensation value Rp to have a larger value, as a cumulative value Rst of the second compensation values Rs which have been previously stored has a larger value.
As above, in the above embodiment, when the user provides the computational processing power of the computing device 105, the management device 50 calculates the first compensation value Rp of the first compensation EP to be given to the user according to the provided computational amount Q, and the second compensation value Rs of the second compensation ES. The first compensation value Rp is set to have a larger value as the cumulative value Rst of the second compensation values Rs has a larger value. The first compensation value Rp and the second compensation value Rs are calculated according to the provided computational amount Q, and the evaluation value C for the selected computational job D1, respectively. Thus, the user will select the computational job D1 by considering the evaluation value C of the computational job D1, such that the first compensation value Rp obtainable by the same computational amount increases, and the cumulative value Rs of the second compensation values Rs increases efficiently. Accordingly, in the above embodiment, it is possible to construct a mechanism for making it easy for a user to refer to at least the evaluation values C of the computational jobs D1 to actively determine the computational job D1, instead of simply selecting the computational job D1, and preferably to ferment awareness of social contribution with respect to provision of a computational resource.
In the above embodiment, the management device 50 is configured to provide the evaluation values C of the plurality of computational jobs to the user via the communication network (S21). According to this feature, the user can refer to the evaluation values C of the plurality of computational jobs D1 to select one participating computational job D1.
In the above embodiment, the first compensation EP is set as a compensation convertible to a currency value, and the second compensation ES is set as a compensation inconvertible to a currency value. According to this feature, a user generally wishes to obtain the first compensation EP convertible to a currency value, more than the second compensation ES inconvertible to a currency value. However, in order to obtain more the first compensation EP, it is necessary that the second compensation has been already obtained in a larger amount. Therefore, the user will consider which computational job D1 should be selected while taking into consideration the evaluation value, etc. Accordingly, it becomes possible to to enhance user's awareness of participation in grid computing or of social contribution.
In the above embodiment, the management device 50 accepts, from the user via the communication network 5, a selection of the computational job D1 to which the computational processing of the computing device 105 is provided (S22), and causes the computing device to execute the computational processing of the selected computational job D1. According to this feature, the management device 50 can cause the user who submitted a participation application via the communication network 5 to participate in the grid computing.
In the above embodiment, the management device calculates the second compensation value Rs by multiplying a total computational amount QT provided to the selected computational job D1 by the evaluation value C for the selected computational job D1 (S65). According to this feature, the user can obtain more the second compensation value Rs as the evaluation value C has a larger larger.
In the above embodiment, the management device 50 calculates and stores a cumulative value Rst of the second compensation values Rs which have been given to the user. According to this feature, the first compensation value Rp can be calculated based on the stored cumulative value Rst.
In the above embodiment, more specifically, the first compensation value Rs is a sum of a basic compensation value Rb and an additional compensation value Ra, wherein the basic compensation value Rb is calculated as a value proportional to the computational amount Q, and the additional compensation value Rb is calculated to have a larger value as the cumulative value Rst of the second compensation values RS has a larger value.
In the above embodiment, the first compensation value Rp is calculated by multiplying the computational amount Q by a compensation factor Ec, wherein the compensation factor Ec is set to have a larger value as the cumulative value Rst of the second compensation values Rs has a larger value (
According to the above embodiment, there is also provided a management method used in a grid computing system 1 in which a management device 50 causes a computing device 105 of a user connected thereto via a communication network 5 to computationally process a computational job D1 selected from a plurality of computational jobs D1 by the user, the management method comprising: a step (S13) of storing, by the management device 50, a plurality of evaluation values C each set to a respective one of the plurality of computational jobs D1; and a compensation calculation step of calculating, by the management device 50, a first compensation EP and a second compensation ES to be given to the user with respect to execution of the selected computational job D1 by the computing device 105 of the user, wherein the compensation calculation step includes: a first step (S62) of calculating, by the management device 50, a first compensation value Rp of the first compensation EP to be given to the user according to a computational amount Q of computational processing executed for the selected computational job D1; and a second step (S65) of calculating and storing, by the management device 50, a second compensation value Rs of the second compensation ES to be given to the user according to the evaluation value C set for the selected computational job D1, wherein in the first processing, the first compensation value Rp is calculated to have a larger value, as a cumulative value Rst of the second compensation values Rs which have been previously calculated and stored has a larger value.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2021-140683 | Aug 2021 | JP | national |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/JP2022/031692 | 8/23/2022 | WO |
