CN111651278A - Dynamic reconstruction method and platform based on software radar - Google Patents
Dynamic reconstruction method and platform based on software radar Download PDFInfo
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- CN111651278A CN111651278A CN202010603849.3A CN202010603849A CN111651278A CN 111651278 A CN111651278 A CN 111651278A CN 202010603849 A CN202010603849 A CN 202010603849A CN 111651278 A CN111651278 A CN 111651278A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
Abstract
The invention discloses a dynamic reconstruction method based on a software radar, which comprises the following steps: the real-time scheduler receives system information sent by the resource manager; the real-time scheduler receives a node fault message or a component fault message sent by the real-time fault diagnoser; and the real-time scheduler performs component scheduling, and the real-time scheduler performs fault node scheduling. The method can utilize the residual resources to dynamically reconstruct in real time when the local fault occurs in the radar back-end system, thereby ensuring the basic operation capability of the system and improving the stability.
Description
Technical Field
The invention relates to the field of software-based radars, in particular to a dynamic reconstruction method and a platform based on the software-based radars.
Background
In the face of the combat requirements of multiple targets and complex interference environments and the challenges brought by constantly changing radar combat objects and combat environments, the radar back-end system is required to be expandable in task-oriented function, easy to upgrade the processing system algorithm and constantly improved in system performance so as to meet the requirement of timely responding to new combat requirements.
The functions and combat missions undertaken by radars are becoming more and more diversified, and radars are developing towards the direction of integration of detection, electronic warfare, communication and the like. The requirements lead the radar equipment to develop towards the characteristics of customizable requirements, reconfigurable hardware, reconfigurable software and the like, so as to meet the reconfigurability of the system facing to dynamic environment and task requirements and the expandability and maintainability facing to a longer equipment life cycle under the conditions of multiple functions, multiple tasks and complex and variable environments. However, the conventional radar has the problems of binding of application functions and hardware, difficulty in function reconfiguration and the like, so that a technology capable of realizing real-time dynamic reconfiguration of a radar component is urgently needed, the upgrading and maintaining efficiency of a radar system is improved, the system can be ensured to operate in a fast adaptive manner under different hardware configuration conditions, and the stability of the system is improved.
Disclosure of Invention
In order to solve the above problems, the present invention provides a dynamic reconstruction method based on a software-based radar, which includes the following steps:
the real-time scheduler receives system information sent by the resource manager;
the real-time scheduler receives a node fault message or a component fault message sent by the real-time fault diagnoser;
the real-time scheduler performs component scheduling, wherein the component scheduling specifically comprises:
traversing all the nodes, preselecting the nodes meeting the operation requirements of the components according to the system information,
the pre-selected nodes are traversed and executed to obtain the optimal scheduling node,
the real-time scheduler issues the executable program and the running file of the component to the optimal scheduling node and executes the executable program and the running file;
the real-time scheduler carries out fault node scheduling, wherein the fault node scheduling comprises the following steps:
traversing all nodes, preselecting the nodes meeting the operation requirements of all components on the fault node according to the system information,
the pre-selected nodes are traversed and executed to obtain the optimal scheduling node,
and the real-time scheduler issues executable programs and running files of all components of the fault node to the optimal scheduling node and executes the executable programs, and if the optimal scheduling node is not found, the real-time scheduler performs component scheduling on each component on the fault node.
Further, the air conditioner is provided with a fan,
when the component needs to be updated or the component fails, the real-time scheduler performs component scheduling;
and when the node fails, the real-time scheduler schedules the failed node.
Further, the air conditioner is provided with a fan,
the node fault evaluation method comprises the steps that each node sends heartbeat information to a real-time fault diagnostor according to a preset period, and if the real-time fault diagnostor cannot receive the heartbeat information of a certain node for three times continuously, the node is judged to be in a node fault state;
and the component fault message is acquired by the real-time fault diagnotor in a thread monitoring mode.
Further, the air conditioner is provided with a fan,
the resource manager comprises a resource management server and resource management clients deployed on nodes of the radar back-end system, the resource management clients acquire node state information and task state information from the nodes and send the node state information and the task state information to the resource management server, the resource management server processes the node state information and the task state information to obtain the system information, and the system information comprises the task type of a component, the task resource requirement, the task memory requirement, the node core resource utilization rate and the node memory resource utilization rate.
Further, the air conditioner is provided with a fan,
the optimization strategy is specifically that scoring is carried out according to the node core resource utilization rate and the node memory resource utilization rate, and the node with the highest score is the optimal scheduling node.
A dynamic reconstruction platform based on a software radar comprises a resource manager, a real-time scheduler and a real-time fault diagnoser, wherein the resource manager comprises a client and a server, the client acquires node state information and task state information in a radar back-end system, the server receives the node state information and the task state information sent by the client, and the server processes the node state information and the task state information to obtain system information and sends the system information to the real-time scheduler; the real-time fault diagnotor judges whether a node fault or a component fault occurs, and if the node fault or the component fault occurs, a node fault message or a component fault message is sent to the real-time scheduler; the real-time scheduler performs component scheduling or fault node scheduling according to the node fault message, the component fault message or the system information; and the dynamic reconstruction platform performs dynamic reconstruction according to the dynamic reconstruction method.
Compared with the prior art, the invention has the following beneficial effects:
the method can utilize the residual resources to dynamically reconstruct in real time when the radar system has a local fault, thereby ensuring the basic operation capability of the system and improving the stability;
the invention fully utilizes the resources by real-time scheduling based on the existing resources, avoids partial full load part idling caused by uneven resource allocation, and improves the resource utilization efficiency;
the invention provides the function of updating the application in real time, greatly improves the expandability and reduces the upgrading and maintaining cost.
Drawings
FIG. 1 is a block diagram of a software-based radar component dynamic reconfiguration platform.
Fig. 2 is a block diagram of an embodiment of the present invention.
Detailed Description
The following describes in detail a specific embodiment of a dynamic reconfiguration platform and method based on a software-based radar according to the present invention with reference to the accompanying drawings.
Example one
As shown in fig. 1, the dynamic reconfiguration platform based on a software-based radar provided by the present invention includes:
the resource manager is responsible for acquiring node state information in the radar back-end system and providing the node state information for an upper-layer service global resource view; and counting task state information on each node in the system, and providing the task state information for an upper layer service global task view. Specifically, the resource management module comprises a resource management client and a server, wherein the resource management client is deployed on each node of the radar back-end system, node state information and task state information are acquired through an operating system calling interface according to a configurable beat (default is 500ms), the node state information and the task state information are sent to the resource management server through a Transmission Control Protocol (TCP) according to a fixed format, and the resource management server collects the node state information and the task state information of all the nodes and integrates the node state information and the task state information to obtain system information which is provided to a real-time fault diagnostor and a real-time scheduler; the system information comprises the task type of the component, the task resource requirement, the task memory requirement, the node core resource utilization rate, the node memory resource utilization rate and the like; as shown in table 1, the node state information specifically includes a node ID, a node IP, a CPU core number, a CPU occupancy rate, a memory size, a memory usage amount, an operating system type, and a platform type; as shown in table 2, the task state information on each node includes a task name, an entry function name, a task ID, a system priority of the task, a task occupied core number, a task CPU utilization rate, a task memory usage amount, a task running state, a task running error number, and a task type; the system information comprises the task type of the component, the task resource requirement, the task memory requirement, the node core resource utilization rate and the node memory resource utilization rate.
| Serial number | Name (R) | Type (C + +) | Remarks for note |
| 1 | Node ID | int | |
| 2 | Node IP | string | |
| 3 | Number of CPU cores | unsigned int | MB |
| 4 | CPU occupancy rate | double | Percentage of |
| 5 | Memory size | double | MB |
| 6 | Memory usage | double | MB |
| 7 | Operating system type | string | Such as Linux, Vxworks, Windows, etc |
| 8 | Type of platform | string | Such as x86, PPC, etc |
TABLE 1 node status information
| Serial number | Name (R) | Type (C + +) | Remarks for note |
| 1 | Task name | string | |
| 2 | Entry function name | string | |
| 3 | Task ID | int | |
| 4 | System priority of tasks | int | |
| 5 | Number of cores occupied by task | int | |
| 6 | Task CPU utilization | double | Percentage of |
| 7 | Task memory usage | double | MB |
| 8 | Task running state | string | |
| 9 | Task running error number | int | |
| 10 | Task type | string | Such as Linux task, Vxworks task, Windows task, etc |
TABLE 2 task State information
The real-time fault diagnotor evaluates the node fault or the component fault in real time, and if the node fault or the component fault occurs, the real-time fault diagnotor informs a real-time scheduler to carry out dynamic reconstruction; the node failure is to judge whether the node fails through a node heartbeat mechanism, each node sends heartbeat information to a real-time failure diagnotor according to a period T (configurable T, default is 500ms), and if the heartbeat information cannot be received for three times continuously, the node is judged to be in a node failure state; the component failure is to acquire the abnormal state of the task in real time in a thread monitoring mode;
and the real-time scheduler comprises component scheduling and fault node scheduling, and deploys the component tasks in real time to complete the component scheduling under the condition that the component needs to be updated or the component fails. When a node fault occurs in a radar back-end system, integral component scheduling of the fault node is preferentially carried out, and if integral component scheduling fails, independent component scheduling is carried out on each component on the fault node.
The component scheduling specifically includes that when the radar component completes the initial deployment of an executable program of a certain function of the radar, or when the component needs to be updated or the component fails, a new dynamic reconfiguration scheme is generated according to the task resource requirement, the task memory requirement and the available resources in the current system of the component. Firstly, acquiring system information through a resource manager; secondly, preselecting the nodes by using the task type (shown in table 2) of the component, the task core resource requirement and the task memory requirement; thirdly, traversing the pre-selected nodes to execute the scheduling optimization strategy, specifically, scoring according to the node core resource utilization rate and node memory resource utilization rate weighting (50% of each), wherein the highest score is the optimal scheduling node of the component; and finally, issuing the executable program and the related operating file of the component to the optimal scheduling node according to the formed deployment scheme, and executing the component.
The fault node scheduling specifically includes that when a node fault occurs in the radar back-end system, real-time dynamic reconstruction is performed according to system information, and the fault node scheduling specifically includes the following steps:
1) traversing all nodes, and finding out a node (core resources and memory resources required by the task operation of the components) capable of supporting the operation of all the components on the fault node through the preselection and optimization strategy for deployment;
2) and if the node searching in the step 1) fails, respectively carrying out component scheduling on each component on the failed node.
The method for realizing the dynamic reconfiguration based on the software radar specifically comprises the following steps:
the resource management client is deployed on each node of the system, periodically calls a resource acquisition interface adaptive to the operating system of the node, acquires node state information of the node and task state information corresponding to the component, reports the node state information and the task state information to the resource management server through TCP according to a configurable beat, and sets the reporting beat as 500ms by default, so that the real-time performance of state updating is ensured, and no obvious burden is added to the system; the real-time fault diagnosis module device diagnoses node faults or component faults which may occur in the radar back-end system and informs the real-time scheduler through a message queue; and the real-time scheduler generates and executes a dynamic reconfiguration scheme in real time, directly deploys the newly added components, schedules the running components to other nodes, stops running the components and quits, and then performs corresponding deployment and running.
Example two
This embodiment specifically describes a case where a real-time fault diagnosis device detects that a certain node has a fault. When the real-time fault diagnostor monitors that a certain node has a fault, the real-time fault diagnostor sends a node fault message to the real-time scheduler; the real-time scheduler tries to integrally migrate the components on the fault node to other nodes based on the bottom hardware computing resource information obtained by the resource manager, and if no single node has the resources supporting the running of all the components on the fault node, the real-time scheduler independently schedules each component of the fault node.
EXAMPLE III
This embodiment specifically describes a case where component update is required. As shown in fig. 2, the radar backend system generates, by the real-time scheduler, a mapping scheme between each component and a node of the radar signal processing workflow corresponding to configuration 1 based on the radar signal processing workflow corresponding to configuration 1, and starts each component to run based on the mapping scheme. The generation of the mapping scheme comprises the following steps: a) the workflow corresponding to configuration 1 of fig. 2 includes 8 components and the topological relationships among them, and starts from the root node (side lobe cancellation), and traverses all 8 components according to the adjacent relationships (specifically, side lobe cancellation, anti-narrow pulse, pulse compression, MTI, CFAR, shading, trace point processing, and track processing shown in fig. 2); b) for each traversed component, scheduling the traversed component to a certain node by using a real-time scheduler respectively; c) and when all 8 components are scheduled, the real-time scheduler uniformly starts the components to run. In the radar operation process, a new component update application appears, the new component update application corresponds to the configuration 2 in fig. 2, at this time, the operation is stopped and the component corresponding to the configuration 1 is closed, then each component of the radar signal processing workflow corresponding to the configuration 2 is scheduled to a hardware node, and the scheduling function is consistent with the scheduling process of the configuration 1.
Compared with the prior art, the invention has the following beneficial effects:
the method can utilize the residual resources to dynamically reconstruct in real time when the local fault occurs in the radar back-end system, thereby ensuring the basic operation capability of the system and improving the stability;
the invention fully utilizes the resources by real-time scheduling based on the existing resources, avoids partial full load part idling caused by uneven resource allocation, and improves the resource utilization efficiency;
the invention provides the function of updating the application in real time, greatly improves the expandability and reduces the upgrading and maintaining cost.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A dynamic reconstruction method based on a software-based radar is characterized by comprising the following steps:
the real-time scheduler receives system information sent by the resource manager;
the real-time scheduler receives a node fault message or a component fault message sent by the real-time fault diagnoser;
the real-time scheduler performs component scheduling, wherein the component scheduling specifically comprises:
traversing all the nodes, preselecting the nodes meeting the operation requirements of the components according to the system information,
the pre-selected nodes are traversed and executed to obtain the optimal scheduling node,
the real-time scheduler issues the executable program and the running file of the component to the optimal scheduling node and executes the executable program and the running file;
the real-time scheduler carries out fault node scheduling, wherein the fault node scheduling comprises the following steps:
traversing all nodes, preselecting the nodes meeting the operation requirements of all components on the fault node according to the system information,
the pre-selected nodes are traversed and executed to obtain the optimal scheduling node,
and the real-time scheduler issues executable programs and running files of all components of the fault node to the optimal scheduling node and executes the executable programs, and if the optimal scheduling node is not found, the real-time scheduler performs component scheduling on each component on the fault node.
2. The dynamic reconstruction method based on software-based radar of claim 1,
when the component needs to be updated or the component fails, the real-time scheduler performs component scheduling;
and when the node fails, the real-time scheduler schedules the failed node.
3. The dynamic reconstruction method based on software-based radar of claim 2,
the node fault evaluation method comprises the steps that each node sends heartbeat information to a real-time fault diagnostor according to a preset period, and if the real-time fault diagnostor cannot receive the heartbeat information of a certain node for three times continuously, the node is judged to be in a node fault state;
and the component fault message is acquired by the real-time fault diagnotor in a thread monitoring mode.
4. The dynamic reconstruction method based on software-based radar of claim 3,
the resource manager comprises a resource management server and resource management clients deployed on nodes of the radar back-end system, the resource management clients acquire node state information and task state information from the nodes and send the node state information and the task state information to the resource management server, the resource management server processes the node state information and the task state information to obtain the system information, and the system information comprises the task type of a component, the task resource requirement, the task memory requirement, the node core resource utilization rate and the node memory resource utilization rate.
5. The dynamic reconstruction method based on software-based radar of claim 4,
the optimization strategy is specifically that scoring is carried out according to the node core resource utilization rate and the node memory resource utilization rate, and the node with the highest score is the optimal scheduling node.
6. A dynamic reconstruction platform based on a software-based radar is characterized by comprising a resource manager, a real-time scheduler and a real-time fault diagnoser, wherein the resource manager comprises a client and a server, the client acquires node state information and task state information in a radar back-end system, the server receives the node state information and the task state information sent by the client, and the server processes the node state information and the task state information to obtain system information and sends the system information to the real-time scheduler; the real-time fault diagnotor judges whether a node fault or a component fault occurs, and if the node fault or the component fault occurs, a node fault message or a component fault message is sent to the real-time scheduler; the real-time scheduler performs component scheduling or fault node scheduling according to the node fault message, the component fault message or the system information; the dynamic reconstruction platform performs dynamic reconstruction according to the method of any one of claims 1 to 5.
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