CN116032895B - Bypass intelligent media server scheduling method, system, equipment and medium - Google Patents
Bypass intelligent media server scheduling method, system, equipment and medium Download PDFInfo
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Abstract
The invention belongs to the technical field of communication and discloses a bypass intelligent server scheduling method, a bypass intelligent server scheduling system, intelligent server scheduling equipment and a bypass intelligent server scheduling medium, wherein the method comprises the following steps that firstly, a detection process is started by using the bypass intelligent server scheduling method, and the weight proportion of a multi-server architecture is readjusted and calculated according to a resource occupancy rate, a hot loading script and an early warning model for a period of time; and step two, sending data according to the ssdp protocol to enable the media engine to adjust and match different strategy modes so as to schedule the server. The invention improves the strategy selection speed of the calculation server through the alarm model, improves the utilization rate of the server, reduces the running of the server, dynamically adjusts the weight, improves the high availability of the server program group, maximally utilizes the idle server, reduces the service response time, obtains IO (input output) and CPU (input output) energy consumption calculation through the ssdp protocol, counts the alarm model data, reasonably utilizes the resources of each server, has static stability, and ensures the performance utilization efficiency.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a bypass-mode intelligent media server scheduling method, system, equipment and medium.
Background
Currently, media servers are signaling services, forwarding services, storage services, inference services (AI) or other service type servers, collectively referred to as media services, having multiple servers or clusters, respectively. In order to reasonably allocate server resources, the original method is to find all servers according to signaling of a signaling server, randomly assign a certain server to be a forwarding service or store after finding a plurality of servers, infer, or directly assign a certain server to be a forwarding service according to weight, or assign a server according to occupancy rate such as CPU (instant get). Weights are typically given a normalized number for servers, e.g., server 1:0.7 server 2:0.3, then seventy percent probability would be given for server 1, thirty percent probability for server 2, and transition probability matrix is [0.7,0.3].
Through the above analysis, the problems and defects existing in the prior art are as follows:
The actual cpu, gpu, memory, disk, network bandwidth occupancy, disk IO requests and power consumption performance of the existing multiple servers are continuously changed, and some servers may already occupy relatively large resources for a long time, but the weight is still heavy over time due to too simple calculation (calculation according to the instant occupancy), so that the servers cannot be reasonably allocated under the condition that media service and AI reasoning service exist and a storage service architecture is constructed.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides an intelligent server scheduling method in a bypass mode. The servers include sip signaling dispatch servers, other media servers. When the client links up, the client can indicate that the client is a release identity or a subscription identity, the signaling scheduling server schedules and distributes other servers, for example, the streaming media server comprises a main server and an edge server, the AI reasoning server comprises a main reasoning server and an edge reasoning server, and the storage server comprises a main storage server and an edge storage server. The weight initially configured by the primary server is relatively heavy.
The invention is realized in such a way that the intelligent server scheduling method of the bypass mode comprises the following steps:
Step one, each physical server starts a bypass monitoring process watch, the process detects cpu, gpu, memory and disk io of the physical server, the process sends detected data according to ssdp protocol, the sip signaling service process obtains cpu, gpu, io and other resource occupation ratios according to ssdp protocol, the servers are deleted through a hot loading strategy script and an early warning model, and the weight proportion of each server under the condition of calculating multiple servers is readjusted;
and in the hot loading script application process, after the signaling server is started, the event detection script is changed according to the operating system file, and when the script file is changed, the script is read again to acquire a weight formula, so that the server scheduling strategy is updated.
Step two, the bypass process watch sends monitoring data according to ssdp protocol, each server process adds script files and executes functions, the code quantity is very small, the script files can send own functions, IP addresses and the like, the sip center signaling scheduling server detects how many servers are nearby and the functions of each server through ssdp protocol, and simultaneously changes scheduling strategies through hot loading scripts, and a media engine adjusts and matches different strategy modes to schedule the servers, so that the bypass mode scheduling of resources is achieved.
Further, the published data are sequentially transmitted to the streaming media server in a data stream mode at a push end, after the sip center signaling scheduling server detects that the data stream reaches the streaming media server, the server of the current local area network and the functions thereof are detected through ssdp protocol in the streaming media server, meanwhile, the scheduling strategy of the sip center signaling scheduling server is changed through python hot loading script or c++ hot loading script or lua hot loading script or js hot loading script which are prepared in directory service contained in the reasoning server, the streaming media server adjusts the corresponding strategy of a matching mode between an origin main service and an edge server according to the scheduling strategy of the sip center signaling scheduling server, then the sip center signaling scheduling server calls the main reasoning server and the edge reasoning server in the reasoning server to conduct data stream reasoning, the storage server stores the processed data stream, and the sip center signaling scheduling server transmits the processed data stream to a player in a play subscription position through directly calling the data stream in the streaming media server or the data file in the storage server.
Further, the policy mode in the second step includes a bandwidth occupancy rate type and an IO bandwidth type;
Assume that different servers occupy different network card interfaces;
the bandwidth occupancy rate is a strategy with high network bandwidth occupancy rate in weight proportion;
the weight proportion calculation process of the bandwidth occupancy rate comprises the following steps:
X=a*0.4+b*0.3+c*0.1+d*0.1+e*0.1
wherein a is the network bandwidth occupancy rate, b is the CPU occupancy rate, c is the GPU occupancy rate, d is the disk IO occupancy rate, and e is the memory storage block occupancy rate;
the weight proportion calculation process of the IO bandwidth type is as follows:
X=f/total*0.5+a*0.5
Where f is the number of disk IO requests, total is the maximum disk IO request, and the value can be obtained from the configuration of the server.
Further, the specific process of the scheduling is as follows:
the server calculates Y value once every n (n < = 20) seconds, and calculates average Y/n=X/(60/n) once every minute, wherein the average Y/n=X/(60/n) is a time unit group every 5 minutes, and the average Y/n is (Y1, Y2, Y3, Y4 and Y5), and only 5 values of 5 minutes can be stored;
and determining the minimum value as the server with the highest weight according to the Y/n value sent by each server.
The server groups do not directly communicate with each other, data is sent according to ssdp protocol, and each basic weight is dynamically adjusted in the script according to different functions.
Further, the early warning model includes the following data:
CPU warns;
i, electricity utilization warning;
J, temperature warning;
k, warning of insufficient memory;
a disk shortage warning;
further, alarm model data within 5 minutes are stored in the server, and the server to be selected is directly deleted according to the early warning model.
The distributed data are sequentially transmitted to a streaming media server in a data stream mode at a push stream end, after the sip center signaling scheduling server detects that the data stream reaches the streaming media server, the server of the current local area network and the functions thereof are detected through ssdp protocol in the streaming media server, meanwhile, the scheduling strategy of the sip center signaling scheduling server is changed through the python hot loading script or the c++ hot loading script or the iua hot loading script or the js hot loading script which are prepared in directory service contained in the reasoning server, the streaming media server adjusts the corresponding strategy of a matching mode between an origin main service and an edge server according to the scheduling strategy of the sip center signaling scheduling server, then the main reasoning server and the edge reasoning server in the sip center signaling scheduling server are called to conduct data stream reasoning, the processed data stream is stored by the storage server, the data stream in the streaming media server or the data file in the storage server is directly called, the data stream or the data file in the storage server is transmitted to a player in a display screen, and the data file is combined with a DLAN (digital subscriber).
Another object of the present invention is to provide a bypass-type intelligent server scheduling system for implementing the bypass-type intelligent server scheduling method, wherein the bypass-type intelligent server scheduling system
The degree system comprises:
a) The user-defined search discovery protocol ssiop, the multicast module and the user network protocol comprise sending and receiving;
1 transmitting module
To multicast address 239.255.255.123, port 18000 sends an identity, including its own IP address, name, type, location position, cpu occupancy, gpu occupancy, io occupancy, etc. For indicating its identity and network address, e.g. streaming media forwarding service, sip signaling module, AI reasoning module, etc.
2 Receiving module
The multicast address 239.255.255.123 is added, the port 18000 receives information, and searches the interested service from each identity, such as searching all the streaming media forwarding servers.
B) A signaling gateway service for signaling transmission;
The Sip signaling exchange protocol server is supported and used for recording all devices, such as all streaming media forwarding servers, and recording cpu, gpu, io occupancy and other information of all servers. Responsible for informing the flow diversion.
C) And the event early warning module is used for event editing and event script.
The formula calculation can be changed at any time in the event of writing, and even the interface can be provided for changing. And acquiring from the multicast address 239.255.255.123 and the port 18000, [ ssiop ], acquiring the occupancy rate, early warning the event, and deleting the sip service if the occupancy rate is larger than the early warning value.
The system provided by the embodiment of the invention firstly searches the equipment in the current local area network by using a search protocol ssiop, wherein the equipment comprises camera equipment, routing equipment, PC end equipment and mobile end equipment, and remotely manages all network equipment supporting the protocol by the protocol, including monitoring network state, modifying network equipment configuration, receiving network event warning, and simultaneously combining streaming media transmission protocol RTSP, RTMP, RTP, RTCP, collecting TS and PS streams, transmitting the streaming media protocol to a signaling and gateway module, interacting with AB protocol, then transmitting the collected streaming data to a media engine module by using a search protocol ssiop module, after detecting that the data stream reaches the media engine by using a sip center signaling scheduling server, detecting the server of the current local area network and the function thereof by using ssiop protocol, simultaneously changing the scheduling strategy of the sip center signaling scheduling server by using a Pjack hot loading script or c++ hot loading script or js hot loading script which is prepared in directory services contained in the reasoning server, adjusting the matching mode between an origin signaling main signaling server and an edge server by using the media transmission protocol RTSP, RTMP, RTP, RTCP, then transmitting the collected streaming data to a media engine module by using the search protocol ssiop module, and simultaneously displaying the matching mode between the origin signaling main signaling server and the edge signaling server by using the client and the client in the client module, and directly calling the client in the client module by using the client in a client module to display the inferred client in the client to display case of the client to store the data in the client in the display module, the event warning module transmits the event editing data and the event script data to the display module in the form of data streams.
It is a further object of the present invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the bypass mode intelligent server scheduling method.
Another object of the present invention is to provide a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the bypass mode intelligent server scheduling method.
Another object of the present invention is to provide an information data processing terminal for implementing the bypass-mode intelligent server scheduling system.
In combination with the above technical solution and the technical problems to be solved, please analyze the following aspects to provide the following advantages and positive effects:
According to the invention, the CPU occupation, the memory occupation and the disk block occupation rate are calculated, the io occupation is calculated, and the bypass mode is calculated, so that the self-defined protocol of ssiop sends data, and the servers are not interfered with each other.
The alarm model improves the strategy selection speed of the calculation server, improves the utilization rate of the server, reduces the running of the server, improves the high availability of a server program group by dynamically adjusting the weight, maximally utilizes an idle server, reduces the service response time, obtains IO (input output) and CPU (input output) energy consumption calculation and statistics warning by adopting a ssiop protocol, and reasonably utilizes the resources of each server, has static stability and ensures the performance utilization.
The expected benefits and commercial values converted by the technical scheme of the invention are that the server is automatically found and deployed, the deployment time is reduced, the log and various information are acquired according to ssiop protocol, the time for detecting errors is reduced, the maintenance is not needed to be combined with a plurality of commands, all the information can be acquired from the sip server, and a large amount of operation and maintenance time is saved.
The technical scheme of the invention fills the technical blank in the domestic and foreign industries, after the server is started, the server process is started at any time to join the automatic model, the server is automatically linked into a server group, and the calculation service is provided according to the thermal integration script, so that the media service, the storage service and the reasoning service are fully automatically carried out without the need of designating a matched server, such as the storage service of the media service video stream and the AI reasoning service of the video stream.
The technical scheme of the invention solves the technical problems that people are always desirous of solving but are not successful all the time, and greatly reduces the operation and maintenance difficulty. Intelligent auto-pairing services.
Drawings
FIG. 1 is a flow chart of an intelligent server scheduling method in a bypass mode provided by an embodiment of the invention;
FIG. 2 is a flow chart of a data presentation process provided by an embodiment of the present invention;
fig. 3 is a schematic diagram of a signal data processing procedure of an intelligent server scheduling system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In order to fully understand how the invention may be embodied by those skilled in the art, this section is an illustrative embodiment in which the claims are presented for purposes of illustration.
The intelligent server scheduling method of the bypass mode provided by the embodiment of the invention comprises the following steps:
s101, starting a detection process in a bypass mode, and readjusting and calculating the weight proportion of the multi-server architecture according to the resource occupancy rate, the hot loading script and the early warning model for a period of time;
S102, sending data according to ssiop protocols enables the media engine to adjust and match different strategy modes to schedule the server. The server can exert maximum efficiency according to the function hit, and other servers can acquire corresponding data according to the ssdp protocol.
In the embodiment of the present invention, the policy mode in S102 includes a bandwidth occupancy type and an IO bandwidth type;
Assume that different servers occupy different network card interfaces;
the bandwidth occupancy rate is a strategy with high network bandwidth occupancy rate in weight proportion;
the weight proportion calculation process comprises the following steps:
X=a*0.4+b*0.3+c*0.1+d*0.1+e*0.1
wherein a is network bandwidth occupancy, b is CPU occupancy, c is GPU occupancy, d is disk storage block occupancy, and e is memory storage block occupancy;
the weight proportion calculation process of the IO bandwidth type is as follows:
X=f/total*0.5+a*0.5
where f is the number of disk IO requests, and total is the maximum disk IO request.
In the embodiment of the invention, the specific scheduling process is as follows:
The server calculates Y values once every n (n < = 20) seconds, and calculates an average value Y=X/(60/n) once every minute, wherein each half hour is a time unit group, and the time unit group is (Y1, Y2, Y3...Y30), and only 30 values of half hour can be stored;
and determining the minimum value as the server with the highest weight according to the Y/n value sent by each server.
The server groups do not directly communicate with each other, data is sent according to ssdp protocol, and each basic weight is dynamically adjusted in the script according to different functions. The script embeds the early warning signaling, exceeds the specified threshold value, the server does not announce the offline, only announces that the server does not accept more service instructions, still serves the client point which is already linked to exist, if the energy consumption of cpu and the like is high (the service is possibly occupied by other processes), the server script announces that the server is offline, the sip deletes the server candidate, meanwhile, the sip signaling server returns the streaming media server address according to the calculated X value, the streaming media server uses the script to calculate the storage server address and the reasoning server address according to the calculation formula, and notifies the storage server and the reasoning server.
If the subscription is made, the subscriber acquires a server address acquisition stream from the sip server or stores a video file.
And determining the weight proportion of the server according to the actual obtained resource occupancy. And (3) adopting a hot loading script, changing a strategy mode by the script, dynamically calculating a script formula, rapidly deleting server candidates according to early warning information (ssdp protocol), and subdividing server weight proportion according to functions.
In an embodiment of the present invention, the early warning model includes the following data:
CPU warns;
i, electricity utilization warning;
J, temperature warning;
k, warning of insufficient memory;
a disk shortage warning;
and storing alarm model data within 5 minutes in the server, and directly deleting the server to be selected according to the early warning model.
In the embodiment of the invention, the method for displaying the data to the subscriber by the scheduling method comprises the following steps:
The distributed data are sequentially transmitted to a streaming media server in a data stream mode at a push stream end, after the sip center signaling scheduling server detects that the data stream reaches the streaming media server, the server of the current local area network and the functions thereof are detected through ssdp protocol in the streaming media server, meanwhile, the scheduling strategy of the sip center signaling scheduling server is changed through the python hot loading script or the c++ hot loading script or the iua hot loading script or the js hot loading script which are prepared in directory service contained in the reasoning server, the streaming media server adjusts the corresponding strategy of a matching mode between an origin main service and an edge server according to the scheduling strategy of the sip center signaling scheduling server, then the main reasoning server and the edge reasoning server in the sip center signaling scheduling server are called to conduct data stream reasoning, the processed data stream is stored by the storage server, the data stream in the streaming media server or the data file in the storage server is directly called, the data stream or the data file in the storage server is transmitted to a player in a display screen, and the data file is combined with a DLAN (digital subscriber).
Another object of an embodiment of the present invention is to provide a bypass-mode intelligent server scheduling system for implementing the bypass-mode intelligent server scheduling method, where the bypass-mode intelligent server scheduling system includes:
The media engine module comprises a media calculation layer and ssiop protocols and is used for carrying out matching modes of the origin main service and the edge server;
a signaling and gateway module for interacting with the search protocol ssiop module;
The reasoning engine module comprises a capability AP layer and ssiop protocols and is used for carrying out directory services and main reasoning services, wherein the directory services comprise python scripts, C++ scripts, lua scripts and js scripts;
A search protocol ssiop module for searching and discovering devices and various occupancy protocols;
The storage module comprises a capacity AP layer and an SSDP protocol and is used for storing data information;
And the event warning module is used for event editing and event script.
The system provided by the embodiment of the invention firstly searches equipment in the current local area network by using a search protocol SSDP, comprising camera equipment, routing equipment, PC end equipment and mobile end equipment, and remotely manages all network equipment supporting the protocol by using a snmp protocol, comprising monitoring network state, modifying network equipment configuration, receiving network event warning, simultaneously combining a streaming media transmission protocol RTSP, RTMP, RTP, RTCP, collecting TS and PS streams, transmitting the streaming media protocol to a signaling and gateway module, interacting with an AB protocol, then transmitting the collected streaming data to a media engine module by the search protocol SSDP module, detecting that a data stream reaches a media engine by a sip center signaling scheduling server, detecting a server and functions thereof of the current local area network by the SSDP protocol, simultaneously changing a scheduling strategy of the sip center signaling scheduling server by using a Pthon hot loading script or a js hot loading script which is prepared in a directory service contained in an inference server, adjusting the streaming media protocol between a signaling main service and an edge server according to a scheduling strategy of the sip center signaling scheduling server, then transmitting the collected streaming data to a media engine module by the search protocol SSDP module, and directly calling the client in the client module to a client module according to a client policy of the client 53 server or a client, and displaying the data stream in a client-side layer server, and directly subscribing the data stream in a client-oriented data-layer server by the inferred client module if the client is displayed in the client-side server, the event warning module transmits the event editing data and the event script data to the display module in the form of data streams.
It should be noted that the embodiments of the present invention can be realized in hardware, software, or a combination of software and hardware. The hardware portions may be implemented using dedicated logic and the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or dedicated design hardware. Those of ordinary skill in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The device of the present invention and its modules may be implemented by hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., as well as software executed by various types of processors, or by a combination of the above hardware circuitry and software, such as firmware.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103096146A (en) * | 2011-11-04 | 2013-05-08 | 华为软件技术有限公司 | Media information issuing method and issuing management server |
| CN110333939A (en) * | 2019-06-17 | 2019-10-15 | 腾讯科技(成都)有限公司 | Task mixed scheduling method, device, dispatch server and Resource Server |
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| US9253051B2 (en) * | 2012-02-23 | 2016-02-02 | Ericsson Ab | System and method for delivering content in a content delivery network |
| US9438487B2 (en) * | 2012-02-23 | 2016-09-06 | Ericsson Ab | Bandwith policy management in a self-corrected content delivery network |
| CN104021078B (en) * | 2014-06-13 | 2016-07-06 | 中国民航信息网络股份有限公司 | Software supervision device and method |
| CN113973092B (en) * | 2020-07-24 | 2024-05-24 | 中国移动通信集团浙江有限公司 | Link resource scheduling method, device, computing equipment and computer storage medium |
| CN113676750A (en) * | 2021-08-20 | 2021-11-19 | 重庆菲莫科技有限公司 | Stream media server cluster management system |
| CN115002126B (en) * | 2022-04-30 | 2024-01-12 | 苏州浪潮智能科技有限公司 | Service scheduling method and device based on edge server cluster |
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| CN103096146A (en) * | 2011-11-04 | 2013-05-08 | 华为软件技术有限公司 | Media information issuing method and issuing management server |
| CN110333939A (en) * | 2019-06-17 | 2019-10-15 | 腾讯科技(成都)有限公司 | Task mixed scheduling method, device, dispatch server and Resource Server |
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