CN112565388A - Distributed acquisition service scheduling system and method based on scoring system - Google Patents
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Abstract
A distributed acquisition service scheduling method and system based on a scoring system relate to the technical field of distribution of network equipment acquisition tasks, an acquisition service index evaluation system is used, the operation condition of an acquisition service is considered, an external evaluation system is added, and the acquisition service and the operation environment of the acquisition service are detected and evaluated from the outside of the acquisition service. The invention has the beneficial effects that: meanwhile, internal and external factors of the collected service are considered, and a manual intervention link is added, so that the evaluation score of the service is more objective.
Description
Technical Field
The invention belongs to the technical field of acquisition task allocation of network equipment, and particularly relates to a distributed acquisition service scheduling method and system based on a scoring system.
Background
The network equipment acquires the running state information of the network equipment through acquisition, and the acquisition is an important means for managing the network equipment. With the increase of the collecting system nanotube devices, new requirements are put forward on the collecting efficiency and the collecting timeliness of the collecting system. In order to solve the problems of acquisition efficiency and timeliness, an acquisition system shares acquisition tasks by deploying a plurality of acquisition service instances and acquiring network equipment at the same time. Multiple acquisition instances are deployed in a distributed manner, often referred to as a distributed acquisition system. The network equipment distributed acquisition system is provided with a plurality of acquisition service instances, and each acquisition service instance is responsible for data acquisition of different network equipment. How to distribute the collection task to the collection service is the key point for improving the overall processing capacity of the system.
Typically, the allocation of collection tasks is based on fixed policies, such as average allocation, assigning weights, dynamic allocation based on the load conditions of the collection services, and the like. At present, static strategies are mostly adopted to allocate tasks in advance or to allocate collection tasks only from some service states of collection services. With the cloud and containerization deployment, the operation environment for operating the acquisition service instance becomes more and more complex, and the operation environment conditions for bearing the acquisition service instance, such as the container, virtual machine, physical machine, network condition and the like for operating the acquisition service instance, and whether the acquisition task distribution and scheduling of the network equipment distributed acquisition system are reasonable or not, which affects the acquisition efficiency, throughput and other indexes of the whole system, need to be considered comprehensively when the acquisition task is distributed. According to the invention, aiming at the complex situation of the operation environment of the acquisition service, the acquisition service instance is evaluated by adopting a scoring mechanism, so that a more objective basis is provided for dynamically allocating the acquisition task, and the acquisition efficiency is maximized.
Disclosure of Invention
The invention aims to solve the technical problem of providing a distributed acquisition service scheduling method and system based on a scoring system, solving the problems of acquisition task distribution, scheduling and the like of a distributed acquisition system of network equipment and improving the overall processing capacity of the system.
The technical scheme adopted by the invention for solving the technical problems is as follows: in a first aspect of the present invention, a distributed collection service scheduling method based on a scoring system is provided, which includes the following steps:
(1) acquiring a service self-scoring calculation rule by the acquisition service;
(2) the acquisition service periodically carries out self-evaluation according to a self-evaluation calculation rule and reports a self-evaluation score to an acquisition service evaluation unit;
(3) acquiring a service score calculation rule by an external evaluation unit of the acquisition service;
(4) the acquisition service external evaluation unit initiates detection to the acquisition service according to the service score calculation rule to acquire index data and calculates the acquired data, and reports the calculation result to the acquisition service evaluation unit;
(5) the acquisition service evaluation unit performs weighted calculation according to the acquisition service and the evaluation score reported by the acquisition service external evaluation unit to generate an evaluation result of each acquisition service;
(6) the user adjusts the evaluation result according to the actual situation;
(7) the acquisition service evaluation unit synchronously acquires the evaluation result of the service to the acquisition scheduling unit;
(8) and the acquisition scheduling unit schedules the acquisition service according to the evaluation result and the scheduling rule and distributes the acquisition task to the acquisition service.
The basis for self-evaluation of the acquisition service in the step (2) comprises the current load condition of the acquisition service, the use condition of the host resource where the acquisition service is located and the use condition of the external resource.
The index data detected and obtained by the external evaluation unit of the acquisition service in the step (4) of the invention comprises the connectivity and network performance condition of the acquisition service to the equipment, the connectivity and network performance condition of the acquisition service to the external storage, and the operation condition of the infrastructure for deploying the acquisition service.
The weighting calculation method in the step (5) of the invention comprises the following steps: the collection service self-rated 80% and the collection service external rated 20%.
In a second aspect of the present invention, a distributed collection service scheduling system based on a scoring system is provided, including:
and the acquisition service is used for calculating the self-evaluation score, executing data acquisition tasks of different network equipment and reporting the self-evaluation score of the acquisition service.
The acquisition service external evaluation unit is used for acquiring an acquisition service external score calculation rule, initiating detection to the acquisition service according to the external score calculation rule, acquiring index data, calculating the acquired index data to obtain an external score of the acquisition service, and reporting the result to the acquisition service evaluation unit;
the acquisition service evaluation unit is used for issuing a grading rule, calculating a self-evaluation score and an external score to generate an evaluation result of each acquisition service, and synchronizing the evaluation results to the scheduling unit;
and the acquisition scheduling unit is used for scheduling the acquisition service according to the evaluation result and the scheduling rule and distributing the acquisition task to the acquisition service.
In a third aspect of the invention, there is provided an electronic device comprising a processor and a memory storing computer-executable instructions that, when executed, cause the processor to perform the method according to the first aspect of the invention.
In a fourth aspect of the present invention, there is provided a computer-readable storage medium storing one or more programs, characterized in that: the one or more programs, when executed by a processor, implement the method of the first aspect of the invention.
The invention has the beneficial effects that: according to the invention, based on an internal and external scoring system of the acquisition service, the internal and external factors of the acquisition service are considered at the same time, and the external network condition, infrastructure operation condition and other factors which cannot be sensed by the acquisition service also participate in scoring, so that the acquisition service scheduling is more reasonable, a human intervention link is added, the acquisition service state is objectively evaluated, the acquisition service scheduling is carried out according to the evaluation result, the phenomenon that the acquisition task distribution is unreasonable in the acquisition process can be better solved, a more objective basis is provided for dynamically distributing the acquisition task, and the acquisition efficiency is maximized.
Drawings
Fig. 1 is an overall schematic diagram of a distributed acquisition service scheduling system based on a scoring system according to the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the drawings and the specific embodiments in the specification.
Whether the distribution and the scheduling of the acquisition tasks of the network equipment distributed acquisition system are reasonable or not influences the acquisition efficiency, the throughput and other indexes of the whole system. The invention is based on an internal and external scoring system of the acquisition service, not only considers the self running condition of the acquisition service, but also adds an external evaluation system, namely, the acquisition service and the running environment of the acquisition service are detected and evaluated from the outside of the acquisition service, the acquisition service state is objectively evaluated, the acquisition service is dispatched according to the evaluation result, and the phenomenon that the acquisition task distribution is unreasonable in the acquisition process can be better solved.
The invention divides the evaluation indexes into two types: the method comprises the steps of self-evaluation of the acquisition service and external evaluation of the acquisition service, wherein the self-evaluation of the acquisition service is automatically evaluated by the acquisition service, the external evaluation depends on an external detection unit to carry out detection evaluation on the acquisition service, and the results of the self-evaluation and the external detection unit are weighted and calculated to obtain the comprehensive score of the service. The weighting can be adjusted according to the stability of the collection service operating environment, and default values can be set during the operation of the system: if the self-evaluation of the collection service accounts for 80 percent, and the external evaluation of the collection service accounts for 20 percent.
As shown in fig. 1, a distributed collection service scheduling system based on a scoring system includes:
the acquisition services are used for calculating self-evaluation scores and are responsible for data acquisition tasks of different network devices; the collection service self-evaluation score can be reported.
The acquisition service external evaluation unit (acquisition service external scoring unit) is used for acquiring an acquisition service external scoring calculation rule, initiating detection to the acquisition service according to the external scoring calculation rule, acquiring index data, calculating the acquired index data to obtain an external score of the acquisition service, and reporting the result to the acquisition service evaluation unit;
the acquisition service evaluation unit (acquisition service index evaluation unit) is used for issuing a grading rule, calculating a self-evaluation score and an external score to generate an evaluation result of each acquisition service, and synchronizing the evaluation results to the scheduling unit;
the user monitors and adjusts the service evaluation result according to the actual situation;
and the acquisition scheduling unit is used for scheduling the acquisition service according to the evaluation result and the scheduling rule and distributing the acquisition task to the acquisition service.
A distributed acquisition service scheduling method based on a scoring system comprises the following steps:
(1) acquiring a service self-scoring calculation rule by the acquisition service;
(2) the acquisition service periodically carries out self-evaluation according to a self-evaluation calculation rule and reports a self-evaluation score to an acquisition service evaluation unit;
(3) acquiring a service score calculation rule by an external evaluation unit of the acquisition service;
(4) the acquisition service external evaluation unit initiates detection to the acquisition service according to the service score calculation rule to acquire index data and calculates the acquired data, and reports the calculation result to the acquisition service evaluation unit;
(5) the acquisition service evaluation unit performs weighted calculation according to the acquisition service and the evaluation score reported by the acquisition service external evaluation unit to generate an evaluation result of each acquisition service;
(6) the user can adjust (select) the evaluation result according to the actual situation;
(7) the acquisition service evaluation unit synchronously acquires the evaluation result of the service to the acquisition scheduling unit;
(8) and the acquisition scheduling unit schedules the acquisition service according to the evaluation result and the scheduling rule and distributes the acquisition task to the acquisition service.
Self-scoring calculation rules include, but are not limited to: the service current load condition (the number of collection tasks being executed, the number of collection tasks to be executed, etc.), the service host resource use condition (CPU, memory, IO, etc.), the external resource use condition (the condition of using third-party service or middleware, such as database connection condition, equipment connection condition), etc.
The data acquired by the external scoring unit of the acquisition service according to the service scoring calculation rule include, but are not limited to: collecting connectivity and network performance condition of service to equipment, collecting connectivity and network performance condition of service to external storage, and deploying infrastructure operation condition of collection service, such as physical machine node performance condition of virtual machine, operation condition of physical operation node of collection service during containerized deployment of collection service, etc.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
1. The collection service obtains a service self-scoring computation rule. The calculation rule is acquired by the acquisition service through active query, or is issued to the acquisition service by the acquisition service evaluation unit periodically.
2. The acquisition service calculates self-evaluation indexes according to self-evaluation calculation rules at regular intervals and reports the self-evaluation indexes to the acquisition service evaluation unit. The scoring calculation is based on, but not limited to: the service current load condition (the number of collection tasks being executed, the number of collection tasks to be executed, etc.), the service host resource use condition (CPU, memory, IO, etc.), the external resource use condition (the condition of using third-party service or middleware, such as database connection condition, equipment connection condition), etc.
Specifically, the self-service score calculation rule is as follows:
CPU utilization rate: less than 30%, 1 min, less than 60% and more than 30%, 0.5 min, less than 90% and more than 60%, 0.2 min, and more than 90% and 0 min.
The memory utilization rate is as follows: less than 30%, 1 min, less than 60% and more than 30%, 0.5 min, less than 90% and more than 60%, 0.2 min, and more than 90% and 0 min.
IO utilization ratio: less than 30%, 1 min, less than 60% and more than 30%, 0.5 min, less than 90% and more than 60%, 0.2 min, and more than 90% and 0 min.
Device connection conditions: less than 100, 1 point is obtained, less than 300 and more than 100, 0.5 point is obtained, less than 500 and more than 300, 0.2 point is obtained, and more than 500 and 0 point is obtained.
The failure rate of acquisition: less than 3% to obtain 1 min, less than 10% to obtain more than 3% to obtain 0.5 min, less than 10% to obtain more than 20% to obtain 0.2 min, and more than 20% to obtain 0 min.
At a certain check point, the running state of the acquisition service is that the CPU utilization rate is 40%, the memory utilization rate is 50%, the IO utilization rate is 20%, the number of the device connections is 5, the acquisition failure rate is 0.1%, and then the acquisition service self-evaluation score is: 0.5+0.5+1+1+ 4.
3. The acquisition service external scoring unit (acquisition service external evaluation unit) acquires a service scoring calculation rule. The calculation rule can be obtained by an acquisition service external scoring unit (acquisition service external evaluation unit) through active query, or is issued by the acquisition service evaluation unit periodically.
4. The acquisition service external scoring unit (acquisition service external evaluation unit) initiates detection to the acquisition service according to the service scoring calculation rule and obtains index data, calculates the obtained data according to the service scoring calculation rule, and reports the calculation result to the acquisition service evaluation unit. The data acquired includes, but is not limited to: collecting connectivity and network performance condition of service to equipment, collecting connectivity and network performance condition of service to external storage, and deploying infrastructure operation condition of collection service, such as physical machine node performance condition of virtual machine, operation condition of physical operation node of collection service during containerized deployment of collection service, etc.
Specifically, the service score calculation rule is as follows:
acquiring the network packet loss rate of the service to the network equipment: less than 1%, 1 min, less than 1% and more than 10%, 0.5 min, less than 30% and more than 10%, 0.2 min, and more than 30% and 0 min.
Acquiring network packet loss rate from service to external storage: less than 1%, 1 min, less than 1% and more than 10%, 0.5 min, less than 30% and more than 10%, 0.2 min, and more than 30% and 0 min.
The CPU utilization rate of the physical machine where the virtual machine for deploying the collection service is located is as follows: less than 50%, 1 min, less than 70% and more than 50%, 0.5 min, less than 90% and more than 70%, 0.2 min, and more than 90%, 0 min.
The memory utilization rate of the physical machine where the virtual machine for deploying the acquisition service is located is as follows: less than 50%, 1 min, less than 70% and more than 50%, 0.5 min, less than 90% and more than 70%, 0.2 min, and more than 90%, 0 min.
The IO utilization rate of the physical machine where the virtual machine for deploying the acquisition service is located is as follows: less than 50%, 1 min, less than 70% and more than 50%, 0.5 min, less than 90% and more than 70%, 0.2 min, and more than 90%, 0 min.
The storage utilization rate of the physical machine where the virtual machine for deploying the acquisition service is located is as follows: less than 50%, 1 min, less than 70% and more than 50%, 0.5 min, less than 90% and more than 70%, 0.2 min, and more than 90%, 0 min.
The times of major alarms (such as fan alarm, high CPU temperature and physical disk failure): the total score is 1, and the alarm is subtracted by 0.1 every time until the alarm is 0. The alarm recovery score resets.
A certain check point acquires the network packet loss rate of the service to the network equipment: equal to 0. Acquiring network packet loss rate from service to external storage: equal to 0. The CPU utilization rate of the physical machine where the virtual machine for deploying the collection service is located is as follows: 30 percent. The memory utilization rate of the physical machine where the virtual machine for deploying the acquisition service is located is as follows: 40 percent. The IO utilization rate of the physical machine where the virtual machine for deploying the acquisition service is located is as follows: 25 percent. The storage utilization rate of the physical machine where the virtual machine for deploying the acquisition service is located is as follows: 25 percent. The major alarm times are as follows: 0 times, the evaluation score was: 1+1+1+1+1+1 is 7 points.
5. And the acquisition service evaluation unit generates an evaluation result of each service according to the reported scoring result.
Such as: service a scored 4 from the rating, 7 from the outside, and 4 x 0.8+7 x 0.2 to 5 from the default weight (80%: 20%).
6. The user can adjust the evaluation result. If the collection service instance a is to be upgraded and maintained although the evaluation score is high, the evaluation score may be manually reduced, and the collection task of the collection service instance may be migrated.
7. The acquisition service evaluation unit synchronizes the service evaluation result to the acquisition scheduling unit.
8. And the acquisition scheduling unit schedules the acquisition service according to the evaluation result and the scheduling rule and distributes the acquisition task to the acquisition service.
Specifically, if the score of the collection service instance a is 3.8 and the score of the collection service instance B is 1.2, then more tasks are allocated to the collection service instance a according to the scheduling policy during scheduling.
The invention is different from the traditional method in that: meanwhile, internal and external factors of the collected service are considered, and a manual intervention link is added, so that the evaluation score of the service is more objective.
Claims (9)
1. A distributed acquisition service scheduling method based on a scoring system is characterized in that: the method comprises the following steps:
(1) acquiring a service self-scoring calculation rule by the acquisition service;
(2) the acquisition service periodically carries out self-evaluation according to a self-evaluation calculation rule and reports a self-evaluation score to an acquisition service evaluation unit;
(3) acquiring a service score calculation rule by an external evaluation unit of the acquisition service;
(4) the acquisition service external evaluation unit initiates detection to the acquisition service according to the service score calculation rule to acquire index data and calculates the acquired data, and reports the calculation result to the acquisition service evaluation unit;
(5) the acquisition service evaluation unit performs weighted calculation according to the acquisition service and the evaluation score reported by the acquisition service external evaluation unit to generate an evaluation result of each acquisition service;
(6) the user adjusts the evaluation result according to the actual situation;
(7) the acquisition service evaluation unit synchronously acquires the evaluation result of the service to the acquisition scheduling unit;
(8) and the acquisition scheduling unit schedules the acquisition service according to the evaluation result and the scheduling rule and distributes the acquisition task to the acquisition service.
2. The distributed collection service scheduling method based on the scoring system as recited in claim 1, wherein: in the step (1), the self-scoring calculation rule is obtained by the acquisition service through active query, or is issued to the acquisition service by the acquisition service evaluation unit periodically.
3. The distributed collection service scheduling method based on the scoring system as recited in claim 1, wherein: the basis for self-evaluation of the acquisition service in the step (2) comprises the current load condition of the acquisition service, the use condition of the host resource where the acquisition service is located and the use condition of the external resource.
4. The distributed collection service scheduling method based on the scoring system as recited in claim 1, wherein: the method for acquiring the service score calculation rule by the external evaluation unit of the acquisition service in the step (3) comprises the following steps: the acquisition service external evaluation unit actively inquires and acquires the data or the data is periodically transmitted by the acquisition service evaluation unit.
5. The distributed collection service scheduling method based on the scoring system as recited in claim 1, wherein: the index data detected and obtained by the external evaluation unit of the collection service in the step (4) comprises the connectivity and network performance condition of the collection service to the equipment, the connectivity and network performance condition of the collection service to the external storage, and the operation condition of the infrastructure for deploying the collection service.
6. The distributed collection service scheduling method based on the scoring system as recited in claim 1, wherein: the weighting calculation method in the step (5) comprises the following steps: the collection service self-rated 80% and the collection service external rated 20%.
7. A distributed acquisition service scheduling system based on a scoring system is characterized in that: the method comprises the following steps:
the acquisition service is used for calculating the self-evaluation score, executing data acquisition tasks of different network equipment and reporting the self-evaluation score of the acquisition service;
the acquisition service external evaluation unit is used for acquiring an acquisition service external score calculation rule, initiating detection to the acquisition service according to the external score calculation rule, acquiring index data, calculating the acquired index data to obtain an external score of the acquisition service, and reporting the result to the acquisition service evaluation unit;
the acquisition service evaluation unit is used for issuing a grading rule, calculating a self-evaluation score and an external score to generate an evaluation result of each acquisition service, and synchronizing the evaluation results to the scheduling unit;
the user monitors and adjusts the service evaluation result according to the actual situation;
and the acquisition scheduling unit is used for scheduling the acquisition service according to the evaluation result and the scheduling rule and distributing the acquisition task to the acquisition service.
8. An electronic device comprising a processor and a memory storing computer-executable instructions, characterized in that: the executable instructions, when executed, cause the processor to perform the method of any of claims 1-6.
9. A computer-readable storage medium storing one or more programs, wherein: the one or more programs, when executed by a processor, implement the method of any of claims 1-6.
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| CN115834344A (en) * | 2022-11-16 | 2023-03-21 | 中国工商银行股份有限公司 | Flow switching method and device, computer equipment and storage medium |
| CN116307890A (en) * | 2023-03-17 | 2023-06-23 | 北京远盟普惠健康科技有限公司 | Health maintenance method and system based on big data |
| CN116307890B (en) * | 2023-03-17 | 2023-10-27 | 北京远盟普惠健康科技有限公司 | Health maintenance method and system based on big data |
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