Gateway-type optical modem device integrated with remote storage management

Abstract

The present application relates to the technical field of optical modem data storage management, in particular to a gateway type optical modem device integrated with remote storage management. It comprises an influence data response module, an associated task data extraction module and a dynamic priority adjustment module. The present application defines the regular priority processing order of each state data in the regular state through the influence data response module, divides the abnormal state data and the regular state data according to the numerical state of the state data, extracts the associated task data of the abnormal state data in cooperation with the associated task data extraction module, adjusts the priority processing order of the state data and the corresponding associated task data of the next collection cycle by using the dynamic priority adjustment module, periodically detects the storage data of the gateway type optical modem device, responds to the abnormal performance according to the detection result, provides the data processing route for the next cycle of the same abnormal performance state, efficiently responds to the environmental state change, and improves the abnormal performance processing efficiency.

Description

Technical Field

[0001] This invention relates to the field of optical modem data storage management technology, and more specifically, to a gateway-type optical modem device with integrated remote storage management. Background Technology

[0002] A gateway-type optical modem is a converged device that integrates the functions of an optical modem and a router. It is deeply customized by operators to meet the needs of high-speed internet access, advanced routing optimization, and other value-added services. Compared to traditional optical modems, gateway-type optical modems have significant advantages in protocol support, customer service, and functional expansion. Integrated remote storage management is a key feature in smart home and enterprise applications, allowing users to remotely access, manage, and back up data stored locally or in the cloud.

[0003] In the process of using existing gateway-type optical modems, in order to cooperate with subsequent storage and status response, it is necessary to process various status data through internally configured edge computing and collect the current operating status of the gateway-type optical modem in real time. However, existing gateways usually process data streams based on predefined rules (such as iptables port priority 1), which cannot adapt to sudden environmental changes (such as equipment failure, network jitter). The fixed processing order causes high-value abnormal data (such as sensor alarms) to be blocked by low-priority queues.

[0004] To address the aforementioned issues, there is an urgent need for a gateway-type optical modem device that integrates remote storage management to achieve distributed processing. Summary of the Invention

[0005] The purpose of this invention is to provide a gateway-type optical modem device with integrated remote storage management. This device defines the regular priority processing order of various status data under normal conditions through an influence data response module. It categorizes abnormal status data and normal status data based on the numerical state of the status data, and extracts associated task data for abnormal status data using a related task data extraction module. A dynamic priority adjustment module adjusts the priority processing order of status data and corresponding associated task data for the next acquisition cycle. This allows for periodic status detection of the stored data in the gateway-type optical modem device, responding to abnormal behavior based on the detection results, and providing a data processing route for the same abnormal behavior in the next cycle. This addresses the problems mentioned in the background art, namely:

[0006] However, existing gateways typically process data streams based on predefined rules and cannot adapt to sudden environmental changes.

[0007] To achieve the above objectives, a gateway-type optical modem device with integrated remote storage management is provided, including the gateway-type optical modem body and an integrated remote storage management and control system. The integrated remote storage management and control system includes a gateway operation status detection module, an impact data response module, an associated task data extraction module, a dynamic priority adjustment module, a dynamic route storage adjustment module, and an anomaly handling result feedback module.

[0008] First, the gateway's operational status detection module periodically collects various status data.

[0009] To ensure the orderly collection of overall status data, the priority processing order of each status data under normal conditions is defined by the influence data response module. That is, the status score of each status data is calculated, and the priority processing order is divided according to the status score, which is used as the processing order for the next cycle.

[0010] After completing the state score calculation, the state thresholds for each state data are defined to obtain the values ​​of the state data after edge computing processing, and then compare them with the corresponding state thresholds.

[0011] Mark the processed values ​​that exceed the state threshold as abnormal state data;

[0012] State data whose processed values ​​do not exceed the state threshold are marked as regular state data.

[0013] Furthermore, since the causes of different abnormal state data vary, it is necessary to cooperate with the associated task data extraction module to extract associated task data of abnormal state data, cooperate with edge computing to process associated task data of abnormal state data, obtain the associated task data processing results, calculate the unit state score of each core indicator in the abnormal state data, perform level matching according to the divided unit state score range, obtain the level of each core indicator in the corresponding abnormal state data, sort and compare the levels of each core indicator, establish response levels, and mark the core indicators whose levels exceed the response levels as associated task data.

[0014] In order to plan the processing order of the next cycle, the dynamic priority adjustment module combines the numerical values ​​of the status data after edge computing processing and the processing results of related task data to adjust the priority processing order of the status data and the corresponding related task data of the next collection cycle. The priority processing order of the related task data is positively correlated with the level.

[0015] Finally, the abnormal status processing results and abnormal behaviors are collected through the abnormal processing result feedback module. The abnormal status processing results are the associated task data that directly induces the abnormal behaviors and are fed back to the dynamic route adjustment storage module. The dynamic route adjustment storage module divides the priority processing order of different abnormal behaviors into priority processing adjustment routes according to the priority processing order of the status data and the corresponding associated task data.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0017] In this gateway-type optical modem device with integrated remote storage management, the priority processing order of various status data under normal conditions is defined by the influence data response module. Abnormal status data and normal status data are divided by the numerical status of status data. In conjunction with the associated task data extraction module, the associated task data of abnormal status data is extracted. The priority processing order of status data and corresponding associated task data in the next collection cycle is adjusted by the dynamic priority adjustment module. The storage data of the gateway-type optical modem device is periodically detected. Based on the detection results, abnormal performance is responded to, and a data processing route is provided for the same abnormal performance in the next cycle. This efficiently responds to changes in environmental status and improves the efficiency of abnormal performance processing. Attached Figure Description

[0018] Figure 1 This is a block diagram of the overall system structure of the present invention;

[0019] Figure 2 This is a schematic diagram of the overall structure of the gateway-type optical modem of the present invention;

[0020] Figure 3 This is a schematic diagram of the solid-state drive installation according to the present invention;

[0021] Figure 4 This is a schematic diagram of the gateway-type optical modem connected to the hard disk enclosure according to the present invention.

[0022] The meanings of the labels in the diagram are as follows:

[0023] 10. Gateway operation status detection module;

[0024] 20. Affects the data response module;

[0025] 30. Related task data extraction module;

[0026] 40. Dynamic priority adjustment module;

[0027] 50. Dynamically adjust route storage module;

[0028] 60. Exception handling result feedback module. Detailed Implementation

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] Please see Figure 1 As shown, a gateway-type optical modem device with integrated remote storage management is provided, including the gateway-type optical modem body and the integrated remote storage management and control system. The integrated remote storage management and control system includes a gateway operation status detection module 10, an impact data response module 20, an associated task data extraction module 30, a dynamic priority adjustment module 40, a dynamic route storage adjustment module 50, and an anomaly handling result feedback module 60.

[0031] The gateway operation status detection module 10 is used to periodically collect various status data during the operation of the gateway;

[0032] The impact data response module 20 is used to define the normal priority processing order of various state data under normal conditions, and to perform priority processing in conjunction with edge computing. At the same time, it divides abnormal state data and normal state data according to the numerical state of the state data.

[0033] The associated task data extraction module 30 is used to respond to the associated task data for extracting abnormal state data, and to cooperate with edge computing to process the associated task data for abnormal state data to obtain the associated task data processing results.

[0034] The dynamic priority adjustment module 40 combines the numerical values ​​of the status data after edge computing processing and the processing results of related task data to adjust the priority processing order of the status data and the corresponding related task data in the next collection cycle.

[0035] The exception handling result feedback module 60 is used to collect the exception status handling results and exception performance, and feed them back to the dynamic route adjustment storage module 50. The dynamic route adjustment storage module 50 adjusts the route according to the priority processing order of the status data and the corresponding associated task data, and divides the priority processing order of different exception performances.

[0036] The details are as follows:

[0037] First, this solution includes the gateway-type optical modem itself and an integrated remote storage management and control system, such as... Figure 2 The image shown is a schematic diagram of the overall gateway-type optical modem. To improve storage performance, as shown... Figure 3 As shown, an M.2 solid-state drive is inserted internally, thereby increasing its remote storage space. Furthermore, for users with large storage space requirements, such as... Figure 3 As shown, the gateway-type optical modem in this solution can be connected to a hard drive enclosure, using the hard drive enclosure as a local storage pool to provide a centralized data warehouse for home / office networks, avoiding the chaos of multiple devices storing data separately. At the same time, the optical modem gateway can penetrate the intranet through the operator's cloud platform, and users can remotely read and write data in the hard drive enclosure via a mobile app or webpage to achieve remote storage management.

[0038] Furthermore, the integrated remote storage management and control system in this solution specifically includes a gateway operation status detection module 10, an impact data response module 20, an associated task data extraction module 30, a dynamic priority adjustment module 40, a dynamic route adjustment storage module 50, and an anomaly handling result feedback module 60.

[0039] The gateway operation status detection module 10 is used to periodically collect various status data during the operation of the gateway. The status data in this solution includes computing resource status data, network transmission status data, task queue status data, and device operation health data.

[0040] Among them, the computing resource status data directly affects the data processing capability due to the local computing load of the gateway. The corresponding core indicators include CPU utilization, memory usage, and storage I / O rate.

[0041] Network transmission status data represents data transmission efficiency, and the corresponding key indicators include bandwidth utilization, end-to-end latency (average round-trip time from gateway to cloud), and packet loss rate.

[0042] The task queue status data reflects the real-time processing pressure, and the corresponding core indicators include the backlog of pending tasks, task processing delay time, and task rejection rate (the proportion of tasks dropped due to insufficient resources).

[0043] Device health data refers to the physical status of the gateway itself, and the corresponding core indicators include hardware temperature, power stability, and continuous operating time.

[0044] During the specific data collection process, a unit collection time is first established, and various status data are collected once at each unit collection time interval. The real-time parameter values ​​of the corresponding core indicators are obtained according to the indicator query tool configured in the gateway-type optical modem. For example, the temperature of the hardware is obtained by the temperature sensor built into the gateway-type optical modem, and the backlog of pending tasks is queried from the data log in the gateway-type optical modem. The real-time parameter values ​​of various core indicators of the status data are packaged and processed to form a real-time status data packet, which serves as the basis for subsequent anomaly assessment.

[0045] Before completing the collection of status data, in order to ensure the orderly collection of overall status data, this solution defines the regular priority processing order of various status data under normal conditions through the influence data response module 20, and performs priority processing in conjunction with edge computing;

[0046] In defining the conventional priority processing order, the initial priority processing order is first defined, which is the initial processing order of the status data collected after the gateway-type optical modem starts up. In this scheme, the initial priority processing order is network transmission status data - computing resource status data - device operating health data - task queue status data. That is, network transmission status data is processed first, and task queue status data is processed last. Edge computing processing is performed according to the initial priority processing order, and the weight scores of the core indicators corresponding to each status data are divided. The parameter values ​​of the core indicators in the previous period are normalized. That is, each core indicator includes both task volume and occupancy rate, which correspond to different orders of magnitude. Therefore, normalization processing is required to convert each core indicator into parameter values ​​of the same order of magnitude to avoid the influence of differences in single parameter values. In this process, the parameter range of each core indicator is divided, and the order of magnitude parameter corresponding to each range is specified. Although the parameter ranges of each core indicator are different, the order of magnitude parameter corresponding to the parameter range is the same. Therefore, the final status score will be converted into a value of the same order of magnitude. The status score of each status data in the previous period is calculated. The specific algorithm is as follows:

[0047] ;

[0048] in State score, to The weighted scores of different core indicators for the current state data. to The normalized parameter values ​​for the core indicators;

[0049] Based on the state score of the previous cycle, the regular priority processing order is defined, and the processing order of the next cycle is redefined. That is, the higher the state score, the earlier the corresponding processing order.

[0050] After completing the state score calculation, the state threshold (i.e., state score) of each state data is defined to obtain the value of the state data after edge computing processing and compare it with the corresponding state threshold.

[0051] Mark the processed values ​​that exceed the state threshold as abnormal state data;

[0052] State data whose processed values ​​do not exceed the state threshold are marked as regular state data.

[0053] Furthermore, since the causes of different abnormal state data vary, it is necessary to coordinate with the associated task data extraction module 30 to extract the associated task data of the abnormal state data, and to coordinate with edge computing to process the associated task data of the abnormal state data to obtain the associated task data processing results. The specific response steps are as follows:

[0054] First, the core indicators in the status data are divided into unit status score ranges, where the unit status score is the product of the weight score of the core indicator and the normalized parameter value. The unit status score ranges are then divided into levels. Abnormal status data from the previous period is obtained, and the unit status scores of each core indicator in the abnormal status data are calculated. Level matching is performed based on the divided unit status score ranges to obtain the level of each core indicator in the corresponding abnormal status data. The levels of each core indicator are sorted and compared to establish response levels. Core indicators whose levels exceed the response levels are marked as related task data.

[0055] In order to plan the processing order of the next cycle, the dynamic priority adjustment module 40 combines the value of the status data after edge computing processing and the processing results of the associated task data to adjust the priority processing order of the status data and the corresponding associated task data of the next collection cycle. The priority processing order of the associated task data is positively correlated with the level.

[0056] Furthermore, since the abnormal manifestations induced by various abnormal states differ—for example, excessively high hardware temperatures can lead to reduced gateway operating speed and decreased network transmission efficiency—and abnormal manifestations are the most direct expression of abnormal states, it is necessary to respond to these abnormal manifestations by adjusting the processing of various state data and related task data in advance. The abnormal state processing result feedback module 60 collects the abnormal state processing results and abnormal manifestations, where the abnormal state processing results are the related task data that directly induce the abnormal manifestations, and feeds them back to the dynamic route adjustment storage module 50. The dynamic route adjustment storage module 50 adjusts the routes according to the priority processing order of the state data and corresponding related task data, prioritizing different abnormal manifestations. These abnormal manifestations include network disconnection, abnormal network signal, and intermittent network outages. Each abnormal behavior corresponds to a different performance parameter. For example, the performance parameters of network signal abnormality are represented by data such as network download speed and upload speed. The status score of the abnormal status data of the previous period, the level of each related task data, and the corresponding abnormal performance parameters are obtained. The preprocessing order of each status data and related task data of the next period is planned, and the performance parameters of the abnormal behavior of the next period are collected in advance. The difference of the performance parameters between the two periods is obtained, and the performance parameter threshold is set. When the difference of the performance parameters between the two periods exceeds the performance parameter threshold, the status score of each status data of the current period (in the order of the regular priority processing order of the previous period) and the level of the corresponding related task data are recalculated. The preprocessing order of the next period is re-divided according to the status score and level division.

[0057] When the difference in performance parameters between two periods does not exceed the performance parameter threshold, the processing priority of the state data is determined according to the state scores of each state data in the previous period, and the processing priority of the associated task data is determined according to the level of each associated task data in the state data in the previous period.

[0058] Finally, the changes in the processing order of the status scores and related task data in the two cycles are marked as priority processing order adjustment routes, and the performance parameters of abnormal performance in the two cycles are bound as route references for subsequent changes in the same state.

[0059] This invention defines the normal priority processing order of various status data under normal conditions through the influence data response module 20, divides abnormal status data and normal status data by the numerical status of status data, and extracts the associated task data of abnormal status data in conjunction with the associated task data extraction module 30. The dynamic priority adjustment module 40 adjusts the priority processing order of status data and corresponding associated task data in the next collection cycle, performs periodic status detection on the stored data of the gateway type optical modem device, and responds to abnormal performance based on the detection results. It provides a storage data processing route for the same abnormal performance in the next cycle, efficiently responds to changes in environmental status, and improves the efficiency of abnormal performance processing.

[0060] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A gateway-type optical modem device integrating remote storage management, characterized in that: It includes a gateway-type optical modem body and an integrated remote storage management and control system, wherein the integrated remote storage management and control system includes a gateway operation status detection module (10), an impact data response module (20), an associated task data extraction module (30), a dynamic priority adjustment module (40), a dynamic route storage adjustment module (50), and an anomaly handling result feedback module (60). The gateway operation status detection module (10) is used to periodically collect various status data during the gateway operation process; The impact data response module (20) is used to define the normal priority processing order of various state data under normal conditions, and to perform priority processing in conjunction with edge computing. At the same time, it divides abnormal state data and normal state data according to the numerical state of the state data. The method for defining the regular priority processing order in the impact data response module (20) includes the following steps: S201, Define the initial priority processing order; S202. Perform edge computing processing according to the initial priority order and divide the weight scores of the core indicators corresponding to each state data. S203. Normalize the parameter values ​​of the core indicators of the previous period, and convert all core indicators into parameter values ​​of the same order of magnitude. S204. Divide the parameter range of each core indicator and specify the order of magnitude parameter corresponding to each range; S205. Calculate the state score of each state data in the previous period; S206. Define the regular priority processing order based on the state score of the previous cycle, and redivide the processing order for the next cycle. The associated task data extraction module (30) is used to respond to the associated task data for extracting abnormal state data, and to cooperate with edge computing to process the associated task data for abnormal state data to obtain the associated task data processing result. The method for the associated task data extraction module (30) to extract associated task data in response to abnormal status data includes the following steps: S301. Divide the unit state score range for each core indicator in the state data; S302. Classify the score range of each unit status into different levels; S303. Obtain the abnormal status data of the previous period, calculate the unit status score of each core indicator in the abnormal status data, and perform level matching according to the divided unit status score range. S304. Obtain the level of each core indicator in the corresponding abnormal state data, sort and compare the levels of each core indicator, establish a response level, and mark the core indicators whose levels exceed the response level as related task data. The unit state score in S301 is the product of the weight score of the core indicator and the normalized parameter value. The dynamic priority adjustment module (40) combines the numerical values ​​of the status data after edge computing processing and the processing results of the associated task data to adjust the priority processing order of the status data and the corresponding associated task data in the next collection cycle. The abnormal processing result feedback module (60) is used to collect the abnormal state processing results and abnormal performance, and feed them back to the dynamic adjustment route storage module (50). The dynamic adjustment route storage module (50) divides the priority processing order of different abnormal performances into priority processing order adjustment routes according to the priority processing order of the state data and the corresponding associated task data.

2. The gateway-type optical modem device with integrated remote storage management according to claim 1, characterized in that: The status data in the gateway operation status detection module (10) includes computing resource status data, network transmission status data, task queue status data, and device operation health data; The computing resource status data directly affects the data processing capability due to the local computing load of the gateway. The corresponding core indicators include CPU utilization, memory usage, and storage I / O rate. The network transmission status data is the data transmission efficiency, and the corresponding key indicators include bandwidth utilization, end-to-end latency, and packet loss rate. The task queue status data reflects the real-time processing pressure, and the corresponding core indicators include the backlog of tasks to be processed, task processing delay time, and task rejection rate. The device health data refers to the physical state of the gateway itself, and the corresponding core indicators include hardware temperature, power stability, and continuous operating time.

3. The gateway-type optical modem device with integrated remote storage management according to claim 2, characterized in that: The method for collecting various status data in the gateway operation status detection module (10) includes the following steps: S101. Establish a unit collection time, and collect various status data once at each unit collection time interval; S102. Obtain the real-time parameter values ​​of the corresponding core indicators based on the indicator query tool configured in the gateway-type optical modem; S103. Package the real-time parameter values ​​of the core indicators of the status data to form a real-time status data packet.

4. The gateway-type optical modem device with integrated remote storage management according to claim 1, characterized in that: The initial priority processing order in S201 is: network transmission status data - computing resource status data - device operating health data - task queue status data.

5. The gateway-type optical modem device with integrated remote storage management according to claim 1, characterized in that: The algorithm for calculating the state scores of each state data item in the previous period in S205 is as follows: ； in State score, to The weighted scores of different core indicators for the current state data. to The normalized parameter values ​​for the core indicators.

6. The gateway-type optical modem device with integrated remote storage management according to claim 1, characterized in that: The method for dividing abnormal state data and normal state data in the impact data response module (20) includes the following steps: S2010, Define the state thresholds for each state data item; S2011. Obtain the value of the state data after edge computing processing and compare it with the corresponding state threshold. Mark the processed values ​​that exceed the state threshold as abnormal state data; State data whose processed values ​​do not exceed the state threshold are marked as regular state data.

7. The gateway-type optical modem device with integrated remote storage management according to claim 1, characterized in that: The method for dividing the priority processing order adjustment routes corresponding to different abnormal behaviors in the dynamic adjustment route storage module (50) includes the following steps: S501. Obtain the status score of the abnormal status data of the previous period, the level of each related task data and the corresponding abnormal performance parameters, and plan the preprocessing order of each status data and related task data of the next period. S502. Collect the performance parameters of abnormal performance in the next cycle in advance, and obtain the difference of performance parameters between the two cycles; S503. Set performance parameter thresholds and compare them with the performance parameter differences; When the difference between the performance parameters of two cycles exceeds the performance parameter threshold, the state score of each state data in the current cycle and the level of the corresponding associated task data are recalculated, and the preprocessing order of the next cycle is re-divided according to the state score and level. When the difference between the performance parameters of two cycles does not exceed the performance parameter threshold, the processing order of the state data is determined according to the state score of each state data in the previous cycle, and the processing order of the associated task data is determined according to the level of each associated task data in the state data in the previous cycle. S504. Mark the changes in the processing order of each status score and associated task data in the two cycles as the priority adjustment route, and bind the performance parameters of abnormal performance in the two cycles.

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