CN110662231A - Network slice resource adjusting method and system for 5G environment - Google Patents
Network slice resource adjusting method and system for 5G environment Download PDFInfo
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Abstract
The invention discloses a network slice resource adjusting method and a system facing to a 5G environment, wherein the method comprises the following steps: firstly, initializing the resource quantity owned by each network slice by a manager according to actual requirements; tenants in each network slice apply for required resources to corresponding slice managers according to respective requirements, and sign an automatic resource adjustment protocol so as to facilitate subsequent adjustment processing of the resources; when the network slice is operated, whether the network resource amount among a plurality of network slices needs to be redistributed is judged; if so, reallocating network resources between the idle network slices and the congested network slices to achieve the aim of optimizing network performance; if not, further judging whether the phenomenon of unreasonable resource distribution exists in a single network slice; if the network resource exists, the network resource in one network slice is readjusted, so that the network pressure is relieved.
Description
Technical Field
The invention relates to a network slice resource adjusting method and system for a 5G environment, and relates to the technical field of communication.
Background
The SDN is used as a novel network system architecture, and the two functions of programmability, control and forwarding separation are respectively brought into the fields of Internet, mobile communication and the like, so that network deployment can be accelerated, network management can be simplified, and network operation can be centralized. Numerical control separation is beneficial to the abstraction of underlying network facility resources and the concentration of management views, so that upper-layer application and service are supported in a virtual resource mode, and better flexibility and controllability are realized. Network planning, flow scheduling, open flexible call transfer separation and centralized control can be performed through an SDN technology, and further network automation and intellectualization are achieved. The existing SDN architecture mainly consists of three layers, namely an infrastructure layer, a control layer and an application layer, as shown in fig. 1.
Infrastructure layer: the system consists of a large number of basic network devices and is responsible for processing rules issued by a control layer and forwarding data according to the rules.
Controlling a layer: the SDN network is an important component of the SDN network, network resource management scheduling is carried out according to information such as network states reported by the switches, and control signaling is issued through a southbound interface, so that the switches of a data plane can work coordinately, reliably and efficiently, and the SDN network is similar to an operating system of the network.
Application layer: consisting of SDN applications. The SDN application can programmatically submit network behaviors that need to be requested to the controller through the northbound interface.
SDN has the following characteristics:
1) flexibility: in a traditional network, when a business requirement changes, it is very difficult to adjust a network layout, and a large amount of configuration of related equipment, such as a router, a switch, a firewall and the like, needs to be modified manually, which consumes a large amount of manpower and material resources. With the development of the internet being more and more advanced, the inflexible characteristic makes the traditional network increasingly unable to meet the requirements of various manufacturers and users. The SDN separates the control right of the network equipment and is managed by the centralized SDN controller, so that the network does not need to depend on the underlying network equipment when being adjusted, and the difference from the underlying network equipment is shielded. Since this control is completely open, the user can customize network routing and transmission policies.
2) Programmability: the network deployment mode based on the SDN does not need to repeatedly configure each router, and only needs to simply define the network rules when in use. And the SDN-based network deployment mode supports modification of a router built-in protocol, so that better data exchange and forwarding functions are realized, and the network is closer to the user requirements.
3) Opening property: since the total bandwidth of the network is constant. Conventional networks are difficult to dynamically adjust over time if a service suddenly requires more bandwidth and traffic at a certain time, but in a network designed based on SDN, this is easy to implement. The SDN may perform overall traffic and bandwidth planning from a global perspective, and issue a new rule through a protocol, or even temporarily close sip (session Initiation protocol) and ftp (file transfer protocol), so as to make the bandwidth of the streaming media larger. And after the requirement of the service is reduced, the network is restored.
The NFV realizes software and hardware decoupling, network element dynamic creation and virtual resource provision of traditional telecommunication equipment. Physical resources are abstracted by using a virtualization technology to form virtual resources for upper-layer application, and network functions are virtualized. By adopting the NFV technology, the function realization of the network equipment does not depend on specific and special hardware any more, but can bear multifunctional software processing by using x86 and other general hardware and virtualization technologies, thereby reducing the expensive equipment cost of the network, realizing the full flexible sharing of resources, ensuring the rapid development and deployment of new services, and supporting the automatic deployment, elastic expansion, fault isolation, self-healing and the like based on the actual service requirements.
The main idea is to install the devices in the corresponding virtual machine software to form a virtual network device, as long as the virtual machine is allocated to IT resources, and at the same time, the hardware, network device and network performance of the virtual entity are the same. The need to achieve NFV: firstly, virtual machines are allocated to IT resources; the real capabilities of the hardware, network devices and network performance of the virtual entities are the same. Virtual network elements are connected together to form a virtual network according to a previously established network topology. The main function of NFV is to implement virtual network elements and virtual networks, and the network structure and organization form changes, but the network performance does not change.
Network slicing techniques virtualize physical infrastructure resources as a plurality of mutually independent and parallel private virtual networks. Each slice can independently perform customized tailoring of network functions and arrangement management of corresponding network resources according to the requirements of service scenes. VNFs meeting the service performance requirements are virtualized through NFV technology, and dynamic networking is performed through SDNs according to service requirements, so that a network slice is formed. FIG. 2 is a network slice structure based on SDN/NFV. It can be seen that a service may contain multiple slice instances according to specific service requirements, and each slice instance may be composed of subnet slice instances with specific functions.
Wherein, the service refers to a business service provided for the terminal client; the network slice instance defines the underlying resource set; a network slice subnet instance may be viewed as a set of related VNF/PNF sets.
The 5G related research organization proposed that 5G requires end-to-end network slicing from wireless or wired access networks, to transport networks, and then to core networks. The different network parts all use NFV to segment the physical network into logical networks. At present, the typical research of the access network is C-RAN, the BBU and the RRH are separated, the BBU is concentrated in a resource pool, and BBU resources are distributed to different network slices according to needs. The core network has vEPC, the core network functions are software-based and modularized through NFV technology, and the functions are combined according to different network slice requirements. The access network and the core network both adopt a resource pooling technology, have good expansibility, and can be allocated according to needs and dynamically expand the capacity. Currently, 5G has relatively little research on transmission networks. The transmission network lacks flexibility, and 5G needs to redesign the transmission network, so that the transmission network does not become the bottleneck of a core network, the resource utilization rate is improved, and the expenses of operation, maintenance and the like are reduced.
At present, researchers have proposed that a reconfigurable information communication basic network shares a bottom physical network with dynamically reconfigurable and expandable functions in a manner of constructing a reconfigurable service bearer network for users, so as to provide basic network services which are fundamentally required and can be customized for different services. The service is a plurality of constructed carrier subnets which have intersection on the bottom layer physical resources and can provide different service capabilities, taking the service requirements and the resource states of the bottom layer network, such as network topology, resource states and other conditions into consideration, as shown in fig. 3.
When the service bearing network is constructed, the bottom layer resources are treated differently; and dynamically sensing the use state of the resource, finding the critical resource and carrying out corresponding migration processing, thereby improving the construction power of the service bearing network request.
In a network environment based on an SDN, a flow table is a resource, and updating the flow table requires a certain time, and when a path mapping selected under a constraint condition of the above-mentioned technology is satisfied, more flow tables may need to be updated, which results in a longer service recovery time.
MPLS uses labels (labels) for data forwarding. When a packet enters the network, a short mark with a fixed length is allocated to the packet, and the mark and the packet are packaged together, and the switching node only forwards the packet according to the mark in the whole forwarding process. MPLS is independent of second and third layer protocols, such as ATM and IP. It provides a way to map IP addresses to simple labels with fixed length for different packet forwarding and packet switching technologies. In MPLS, data transmission occurs over a label switched path. MPLS is designed to solve network problems such as network speed, scalability, QoS management and traffic engineering, as well as broadband management and service requests for next generation IP backbone networks.
MPLS can meet various flexible service requirements, but only dynamically changes the bandwidth allocation of a certain user, and cannot perform optimal bandwidth allocation according to a global network.
The network slice is formed by virtualizing a virtual network element meeting the service performance requirement through an NFV technology, and then dynamically networking according to the service requirement by using an SDN technology, thereby forming a network slice. The bandwidth resource utilization rates of different links change with the lapse of time, and in order to improve user experience, network resources need to be dynamically adjusted, and specific problems to be solved are as follows:
1. a plurality of network slices: when a slice resource has a very low occupancy rate and another slice similar to the slice resource in service type is already congested, the network resource needs to be dynamically adjusted between slices. However, the prior art cannot satisfy fast and efficient dynamic resource adjustment, which causes great resource waste and resource vacancy.
2. Single network slice: the situation that the occupancy rate of partial network resources is extremely low and other parts of the network are congested exists, at the moment, dynamic adjustment of resources inside slices is needed, and the prior art is difficult to meet the requirement of rapid adjustment of the network resources.
Disclosure of Invention
In order to overcome the problems, the invention provides a resource adjustment scheme framework, a core module composition and a system specific flow for a network slice in a 5G environment, and provides a network resource optimization algorithm based on a genetic algorithm aiming at a 5G network slice application scene, so that the dynamic adjustment of network resources in a single network slice and among a plurality of network slices is realized, and the effective utilization of resources and the improvement of the total resource occupancy rate are ensured.
The technical scheme of the invention is a network slice resource adjusting method facing to a 5G environment, which comprises the following steps:
firstly, initializing the resource quantity owned by each network slice by a manager according to actual requirements;
step two, tenants in each network slice apply for required resources to corresponding slice managers according to respective requirements, and sign an automatic resource adjustment protocol so as to facilitate subsequent adjustment processing of the resources;
step three, during operation, firstly judging whether the network resource amount among a plurality of network slices needs to be redistributed; if so, reallocating network resources between the idle network slices and the congested network slices to achieve the aim of optimizing network performance; if not, further judging whether the phenomenon of unreasonable resource distribution exists in a single network slice; if the network resource exists, the network resource in one network slice is readjusted, so that the network pressure is relieved.
Further, in the first step, the administrator allocates an initial bandwidth, an initial node computing capacity and an initial node caching capacity to each network slice, and stores the allocation results in a network slice database, and the process is controlled and managed by the SDN controller in a unified manner.
Further, in the second step, the administrator allocates an initial resource to each tenant, and establishes an initial mapping relationship between each tenant and a physical network resource, and each initially allocated network resource value is stored in the network resource database.
Further, in step three, the goal of optimizing network performance is achieved by reallocating network resources between the idle network slice and the congested network slice, and the specific process is as follows:
step 3.1, the SDN controller reads the current network resource amount of each tenant from a network resource database, and carries out resource adjustment triggering decision according to the reading result;
step 3.2, judging a resource dynamic adjustment flow among a plurality of network slices according to the resource adjustment trigger decision;
3.3, judging how to adjust the resources among different network slices by using a genetic algorithm and taking the actual income as a fitness function according to the improvement amount of the whole actual income; the decision method comprises the following steps: assume the ith network slice with an allocated total bandwidth of AiUnit bandwidth lease price piUnit bandwidth gain giAnd if the resource utilization rate is sigma, the actual profit of the tenant or the network slice is as follows: ki＝σ×Aigi-AipiAnd finally obtaining a fitness function by calculating the overall actual income:then, selecting, crossing and mutating by using a genetic algorithm, and finally obtaining the optimal resource adjustment amount by continuously comparing the overall fitness with the previous fitness;
step 3.4, after making adjustment amount decision, each network slice needing to be adjusted redistributes network resources in different network slices according to the results of step 3.2 and step 3.3, and the adjustment flow is the same as the dynamic adjustment of resources in one network slice;
step 3.5, carrying out resource redistribution on the network resources in each network slice needing to be regulated, and issuing a new forwarding rule to a specific network;
step 3.6, storing the newly distributed network slice resources into a network slice database, and storing the network resource information of each newly distributed network slice into a network resource database;
step 3.7, repeating the step 3.1 to the step 3.6 to complete the dynamic adjustment of the resources among the network slices;
and 3.8, if the network congestion stops, returning each link information of the adjusted network slice back to the set initial resource value.
Further, in step three, the network resource in one network slice is adjusted, and the specific process includes:
step 4.1, the SDN controller reads the current network resource allocation condition from a network resource database and carries out resource adjustment triggering decision according to the read result;
step 4.2, judging and executing a resource dynamic adjustment flow in a network slice according to the resource adjustment trigger decision;
4.3, judging how to adjust the mapping relation and the network resources by adopting a genetic algorithm and taking the actual income as a fitness function and improving the overall actual income; on the premise of judging that the resource adjustment is needed, making a decision about the resource adjustment amount; the decision method comprises the following steps: suppose that the ith node or link has an allocated bandwidth of AiCell bandwidth leasingPrice piUnit bandwidth gain giAnd the resource utilization rate is sigma, then the actual profit is: ki＝σ×Aigi-AipiAnd finally obtaining a fitness function by calculating the overall actual income as follows:
then, selecting, crossing and mutating through a genetic algorithm, and finally obtaining the optimal resource adjustment amount by continuously comparing the overall fitness with the previous fitness;
step 4.4, according to the results of step 4.2 and step 4.3, performing corresponding network resource redistribution, and issuing the new forwarding rule to the specific network;
step 4.5, storing the newly allocated network resource information into a network resource database;
step 4.6, repeating step 4.1-step 4.5, and completing the dynamic adjustment of the network resources in the network slice;
and 4.7, if the network congestion stops, returning each adjusted link information to the set initial resource value.
Aiming at the resource adjusting method, the invention also provides a 5G environment-oriented network slice resource adjusting system, which comprises an SDN controller, wherein the SDN controller comprises five functional modules: the system comprises a network slice monitoring module, a network slice resource adjusting module, a network monitoring module, a network resource adjusting module and a network updating module;
wherein the network slice monitoring module: the SDN controller is used for monitoring and forming a current resource allocation state view of each network slice and transmitting the result to the network slice resource adjusting module;
the network slice resource adjusting module: the module is positioned in the SDN controller and is responsible for receiving a network slice resource allocation view sent by the network slice monitoring module, judging whether resource adjustment among network slices is needed or not according to the view, calculating the resource amount needed to be adjusted and sending the result to the network resource adjusting module;
the network monitoring module: the SDN controller is positioned in the SDN controller, and the module is mainly responsible for monitoring the current network resource allocation condition in one network slice and transmitting the result to the network resource adjusting module;
the network resource adjustment module: the SDN controller is positioned in the SDN controller, judges whether the interior of one network slice needs to be adjusted according to the output of the network monitoring module, and sends an adjustment result to the network updating module;
the network update module: and the module is positioned in the SDN controller and used for receiving an output result of the network resource adjusting module about the network adjusting amount, issuing the output result to a corresponding physical link, a corresponding physical node and the like, and finishing the dynamic adjustment of the network resources in one slice.
Compared with the prior art, the invention has the following advantages:
(1) a bandwidth resource dynamic adjustment scheme facing to network slices in a 5G environment is provided, and the problem of bandwidth resource dynamic adjustment when partial slices are congested is solved; and provides a resource dynamic adjustment process.
(2) A resource adjustment pre-judging mechanism is provided, so that a resource adjustment decision is not triggered when the flow changes rapidly in a short time, and the problem that network resources are frequently changed due to frequent flow changes is solved.
(3) The problem of network resource reallocation from a global perspective is solved according to a genetic algorithm.
Drawings
Figure 1 is a diagram of a prior art SDN architecture;
FIG. 2 is a network slice architecture diagram based on SDN/NFV;
FIG. 3 is a schematic diagram of a reconfigurable service bearer network;
FIG. 4 is a network slice resource adjustment system architecture diagram for a 5G environment;
FIG. 5 is a functional diagram of a core module of a network slice resource adjustment system oriented to a 5G environment;
fig. 6 is a flowchart of a network slice resource adjustment method for a 5G environment.
Detailed Description
The technical solutions of the embodiments of the present invention will be described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The scheme designs a resource adjustment scheme framework, a core module composition and a system specific flow for a network slice in a 5G environment.
Example 1
Resource adjustment scheme architecture design for network slice in 5G environment
The resource adjustment scheme architecture for a network slice in a 5G environment is totally divided into two parts, namely, dynamic resource adjustment in a single network slice and dynamic resource adjustment among a plurality of network slices, as shown in fig. 4, and each part mainly comprises the following components:
dynamic adjustment of resources among multiple network slices: the system is composed of an SDN controller, a network slice database and network slice groups, wherein the SDN controller is responsible for dynamically allocating and adjusting resources among different network slices. When the adjustment is needed, the congested network slice and the idle network slice which need to be adjusted are selected, network resources are redistributed between the idle network slice and the congested network slice, network congestion pressure is relieved, the congestion duration of the network slice is reduced, and user experience is improved.
Dynamic adjustment of resources within a single network slice: the SDN system is composed of an SDN controller, a network resource database and a single network slice, wherein the SDN controller is responsible for dynamically allocating and adjusting network resources in the network slice. When the adjustment is needed, the network resource type to be adjusted is selected, and whether the link resource or the node resource is adjusted is judged according to the selected network resource type to be adjusted. By reallocating network resources in idle and congested links or nodes, the pressure of network congestion is relieved, the congestion duration inside the network slice is reduced, and the user experience is improved.
First, the administrator initializes the amount of resources owned by each network slice according to actual needs. And respectively allocating initial bandwidth, node initial computing capacity, node initial caching capacity and the like for each network slice by the manager, and storing the allocation result into a network slice database. The process is uniformly controlled and managed by the SDN controller.
And then, the tenants in each network slice apply for the required resources to the corresponding slice managers according to respective requirements, and sign an automatic resource adjustment protocol so as to facilitate subsequent adjustment processing of the resources. In the process, the network slice manager firstly allocates initial resources to each tenant, and establishes an initial mapping relationship between each tenant and physical network resources. The initially assigned individual network resource values are stored in a network resource database.
In operation, first, it is determined whether the amount of network resources among the plurality of network slices needs to be reallocated. If so, the aim of optimizing the network performance is fulfilled by reallocating the network resources between the idle network slices and the congested network slices. If not, further judging whether the phenomenon of unreasonable resource distribution exists in a single network slice; if the network resource exists, the network resource in one network slice is readjusted, so that the network pressure is relieved, and the user experience is improved.
The network monitoring module is responsible for monitoring link flow, node calculated amount, node buffer storage amount and the like in each network slice; the network slice monitoring module is responsible for monitoring the current resource amount of each network slice. The detailed module design of the scheme is shown in the section of the embodiment 2, and the detailed flow design is shown in the section of the embodiment 3.
Example 2
Resource adjustment scheme core function module for network slice in 5G environment
The core function modules and their relationship in this scheme are shown in fig. 5.
The core component of the scheme is an SDN controller. The SDN controller consists of five functional modules: the network slice monitoring module, the network slice resource adjusting module, the network monitoring module, the network resource adjusting module and the network updating module have the following functions:
firstly, a network slice monitoring module: and the SDN controller is responsible for monitoring and forming the current resource allocation state view of each network slice and transmitting the result to the network slice resource adjusting module.
A network slice resource adjusting module: and the module is positioned in the SDN controller and is responsible for receiving a network slice resource allocation view sent by the network slice monitoring module, judging whether resource adjustment among network slices is needed or not according to the view, calculating the resource amount needed to be adjusted, and sending the result to the network resource adjusting module.
Third, the network monitoring module: and the module is positioned in the SDN controller and is mainly responsible for monitoring the current network resource allocation condition in one network slice and transmitting the result to the network resource adjusting module.
Fourthly, the network resource adjusting module: the SDN controller is positioned in the SDN controller, judges whether the interior of one network slice needs to be adjusted according to the output of the network monitoring module, and sends an adjustment result to the network updating module;
a network updating module: and the module is positioned in the SDN controller and used for receiving an output result of the network resource adjusting module about the network adjusting amount, issuing the output result to a corresponding physical link, a corresponding physical node and the like, and finishing the dynamic adjustment of the network resources in one slice.
Example 3
Resource adjustment scheme flow design for network slice in 5G environment
The core flow of the scheme is as follows:
first, it is determined whether resource adjustment is required among a plurality of network slices. If so, performing resource allocation among a plurality of network slices; if not, it is determined whether the resources in a single network slice need to be adjusted, if so, the network resources are redistributed inside one network slice, and the final adjustment result is sent to each physical link and physical node through a network update module, where the core flow is shown in fig. 6.
A dynamic resource adjustment process in a network slice:
1. each tenant applies for resources from the network slice manager where the tenant is located according to the self condition and need, and signs up an automatic resource adjustment protocol so as to facilitate subsequent resource adjustment processing. The network slice manager firstly allocates initial resources for each tenant, and establishes an initial mapping relationship between each tenant and physical network resources. The initially assigned network resource values are stored in a network resource database.
And 2, the SDN controller reads the current network resource allocation condition from the network resource database and carries out resource adjustment triggering decision according to the read result.
3. And judging which network resource needs to be adjusted according to the resource adjustment triggering decision.
And 4, calculating a resource adjustment amount by the SDN controller. The scheme adopts a genetic algorithm, takes actual income as a fitness function, and judges how to adjust resources among different network slices according to the improvement amount of the overall actual income; the decision method comprises the following steps: assume the ith network slice with an allocated total bandwidth of AiUnit bandwidth lease price piUnit bandwidth gain giAnd if the resource utilization rate is sigma, the actual profit of the tenant or the network slice is as follows: ki＝σ×Aigi-AipiAnd finally obtaining a fitness function by calculating the overall actual income:
and then, selecting, crossing and mutating by using a genetic algorithm, and finally obtaining the optimal resource adjustment amount by continuously comparing the overall fitness with the previous fitness.
5. And (4) performing corresponding network resource reallocation according to the results of the step (3) and the step (4), and issuing the new forwarding rule to a specific network.
6. And storing the newly allocated network resource information into a network resource database.
7. And (5) repeating the steps 2-6. And completing the dynamic adjustment of the network resources in the network slice.
8. And if the network congestion stops, adjusting each adjusted link information back to the set initial resource value.
(II) resource dynamic adjustment flow among a plurality of network slices:
1. each tenant applies for resources from the network slice according to the self condition and the requirement, and signs a resource automatic adjustment protocol so as to facilitate the subsequent resource adjustment processing. The network slice manager will first allocate an initial resource for each network slice, and the resource allocation will also be performed in the network slice. The initially allocated bandwidth resource value is stored in a network resource database.
And 2, the SDN controller reads the current network resource amount of each tenant from the network resource database, and performs resource adjustment triggering decision according to the reading result.
3. And judging which network resource needs to be adjusted according to the resource adjustment triggering decision.
4. The controller starts to make resource adjustment decision. At the moment, a genetic algorithm is used, the actual income is used as a fitness function, and how to adjust the mapping relation and the network resources is judged through the improvement of the overall actual income; on the premise of judging that the resource adjustment is needed, making a decision about the resource adjustment amount; the decision method comprises the following steps: suppose that the ith node or link has an allocated bandwidth of AiUnit bandwidth lease price piUnit bandwidth gain giAnd the resource utilization rate is sigma, then the actual profit is: ki＝σ×Aigi-AipiAnd finally obtaining a fitness function by calculating the overall actual income as follows:
and then, selecting, crossing and mutating through a genetic algorithm, and finally obtaining the optimal resource adjustment amount by continuously comparing the overall fitness with the previous fitness.
5. After the adjustment amount decision is made, each network slice needing to be adjusted redistributes network resources in different network slices according to the results of the step 3 and the step 4, and the adjustment process is the same as the dynamic adjustment of the resources in one network slice.
6. And carrying out resource redistribution on the network resources in each network slice needing to be adjusted, and issuing the new forwarding rule to a specific network.
7. And storing the newly allocated network slice resources into a network slice database, and storing the network resource information of each newly allocated network slice into the network resource database.
8. Repeating the steps 2-7. And completing the dynamic adjustment of the resources among the network slices.
9. And if the network congestion stops, returning each link information of the adjusted network slice back to the set initial resource value.
The application mode of the invention can be adjusted according to the actual situation, and is not used for limiting the invention. The technical scheme provided by the invention is described in detail above; the description of the present embodiment is intended only to aid in the understanding of the method of the present invention. The application mode of the present invention can be adjusted according to the actual situation, and is not intended to limit the present invention.
Claims (6)
1. A network slice resource adjusting method for a 5G environment is characterized by comprising the following steps:
firstly, initializing the resource quantity of each network slice according to actual requirements;
step two, tenants in each network slice apply for required resources to corresponding slice managers according to respective requirements, and sign an automatic resource adjustment protocol so as to facilitate subsequent adjustment processing of the resources;
step three, during operation, firstly judging whether the network resource amount among a plurality of network slices needs to be redistributed; if so, reallocating network resources between the idle network slices and the congested network slices to achieve the aim of optimizing network performance; if not, further judging whether the phenomenon of unreasonable resource distribution exists in a single network slice; if the network resource exists, the network resource in one network slice is readjusted, so that the network pressure is relieved.
2. The method for adjusting network slice resources in a 5G environment according to claim 1, wherein in the first step, the administrator allocates an initial bandwidth, an initial node computing capacity and an initial node caching capacity to each network slice, and stores the allocation results in a network slice database, and the process is controlled and managed by the SDN controller.
3. The method according to claim 1, wherein in step two, the administrator allocates initial resources to each tenant, and establishes an initial mapping relationship between each tenant and physical network resources, and each initially allocated network resource value is stored in a network resource database.
4. The method according to claim 1, wherein in step three, the objective of optimizing network performance is achieved by reallocating network resources between an idle network slice and a congested network slice, and the specific process is as follows:
step 3.1, the SDN controller reads the current network resource amount of each tenant from a network resource database, and carries out resource adjustment triggering decision according to the reading result;
step 3.2, judging a resource dynamic adjustment flow among a plurality of network slices according to the resource adjustment trigger decision;
3.3, judging how to adjust the resources among different network slices by using a genetic algorithm and taking the actual income as a fitness function according to the improvement amount of the whole actual income; the decision method comprises the following steps: assume the ith network slice with an allocated total bandwidth of AiThe adjusted allocated bandwidth is AiUnit bandwidth lease price piUnit bandwidth gain giAnd if the resource utilization rate is sigma, the actual profit of the tenant or the network slice is as follows: ki＝σ×Aigi-AipiThe network overhead per subscriber unit is ci(ii) a Setting the number of tenants as m and the resource utilization rate of the ith tenant as muiAnd finally obtaining a fitness function by calculating the overall actual income:
then, selecting, crossing and mutating by using a genetic algorithm, and finally obtaining the optimal resource adjustment amount by continuously comparing the overall fitness with the previous fitness;
step 3.4, after making adjustment amount decision, each network slice needing to be adjusted redistributes network resources in different network slices according to the results of step 3.2 and step 3.3, and the adjustment flow is the same as the dynamic adjustment of resources in one network slice;
step 3.5, carrying out resource redistribution on the network resources in each network slice needing to be regulated, and issuing a new forwarding rule to a specific network;
step 3.6, storing the newly distributed network slice resources into a network slice database, and storing the network resource information of each newly distributed network slice into a network resource database;
step 3.7, repeating the step 3.1 to the step 3.6 to complete the dynamic adjustment of the resources among the network slices;
and 3.8, if the network congestion stops, returning each link information of the adjusted network slice back to the set initial resource value.
5. The method for adjusting network slice resources for a 5G environment according to claim 1, wherein in step three, the network resources in one network slice are adjusted by the specific process:
step 4.1, the SDN controller reads the current network resource allocation condition from a network resource database and carries out resource adjustment triggering decision according to the read result;
step 4.2, judging and executing a resource dynamic adjustment flow in a network slice according to the resource adjustment trigger decision;
4.3, judging how to adjust the mapping relation and the network resources by adopting a genetic algorithm and taking the actual income as a fitness function and improving the overall actual income; on the premise of judging that the resource adjustment is needed, making a decision about the resource adjustment amount; the decision method comprises the following steps: suppose that the ith node or link has an allocated bandwidth of AiThe adjusted allocated bandwidth is AiUnit bandwidth lease price piUnit bandwidth gain giAnd the resource utilization rate is sigma, then the actual profit is: ki＝σ×Aigi-AipiThe network overhead per subscriber unit is ci(ii) a Setting the number of tenants as m and the resource utilization rate of the ith tenant as muiAnd finally obtaining a fitness function by calculating the overall actual income as follows:
then, selecting, crossing and mutating through a genetic algorithm, and finally obtaining the optimal resource adjustment amount by continuously comparing the overall fitness with the previous fitness;
step 4.4, according to the results of step 4.2 and step 4.3, performing corresponding network resource redistribution, and issuing the new forwarding rule to the specific network;
step 4.5, storing the newly allocated network resource information into a network resource database;
step 4.6, repeating step 4.1-step 4.5, and completing the dynamic adjustment of the network resources in the network slice;
and 4.7, if the network congestion stops, returning each adjusted link information to the set initial resource value.
6. The system for adjusting the network slice resources facing the 5G environment is characterized by comprising an SDN controller, wherein the SDN controller comprises five functional modules: the system comprises a network slice monitoring module, a network slice resource adjusting module, a network monitoring module, a network resource adjusting module and a network updating module;
wherein the network slice monitoring module: the system is responsible for monitoring and forming the current resource allocation state view of each network slice and transmitting the result to the network slice resource adjusting module;
the network slice resource adjusting module: the module is responsible for receiving a network slice resource allocation view sent by the network slice monitoring module, judging whether resource adjustment among network slices is needed or not according to the view, calculating the resource amount needed to be adjusted, and sending the result to the network resource adjusting module;
the network monitoring module: the module is mainly responsible for monitoring the current network resource allocation condition in one network slice and transmitting the result to the network resource adjusting module;
the network resource adjustment module: judging whether the interior of one network slice needs to be adjusted according to the output of the network monitoring module, and sending an adjustment result to the network updating module;
the network update module: the module receives the output result of the network resource adjusting module about the network adjusting amount, and sends the output result to the corresponding physical link, physical node and the like, thereby completing the dynamic adjustment of the network resources in one slice.
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