CN113132269A - System, method and computer readable storage medium for resource slice management - Google Patents
System, method and computer readable storage medium for resource slice management Download PDFInfo
- Publication number
- CN113132269A CN113132269A CN201911408676.3A CN201911408676A CN113132269A CN 113132269 A CN113132269 A CN 113132269A CN 201911408676 A CN201911408676 A CN 201911408676A CN 113132269 A CN113132269 A CN 113132269A
- Authority
- CN
- China
- Prior art keywords
- slice
- resource
- network
- computing
- management function
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
- H04L47/80—Actions related to the user profile or the type of traffic
- H04L47/805—QOS or priority aware
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The embodiment of the invention provides a system and a method for managing resource slices and a computer readable storage medium. The system comprises: the system comprises a ubiquitous resource management function module, a network slice management function module and a calculation slice management function module; the ubiquitous resource management function module is used for adjusting the computing resources of the computing slice management function module according to the QoS performance information of the network slice example sent by the receiving network slice management function module; and/or the ubiquitous resource management functional module is further used for adjusting the network transmission resources of the network management functional module according to the received operation performance information of the computing resource slice instance sent by the computing slice management functional module. The invention can realize the deep fusion of the core network slicing system and the multi-access edge computing system, and ensure the QoS performance of the whole process of the service.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a system, method, and computer-readable storage medium for resource slice management.
Background
The 5G technology overcomes the defects that the traditional communication uses a single air interface and the network cannot effectively meet the differentiated service. Besides supporting the traditional enhanced mobile broadband scene, an ultra-high reliable ultra-low delay communication scene is introduced for the low-delay high-reliability transmission service, and meanwhile, on the basis of the requirement of the Internet of things for maturity promotion of the long term evolution technology upgrade version, a mass machine type communication scene with larger scale and lower power consumption is introduced.
The combination of a 5G core network (5GC) with Multi-Access Edge Computing (MEC) in standards TS23.501 and TS23.502 currently gives a core network element part sinking to the MEC Edge Computing platform. Although the existing convergence architecture of the 5GC network slice, the 5GC network slice defined by 3GPP and the MEC edge calculation defined by european telecommunications standardization association is known, the basic function that the MEC can be deployed nearby the user port is realized only by setting the user port of the 5GC core network element, and the deep convergence of the two systems of the 5GC network slice and the MEC cannot be realized.
Disclosure of Invention
The invention provides a system, a method and a computer readable storage medium for resource slice management, which can ensure the QoS performance of the whole process of a service.
In a first aspect, a system for resource slice management is provided, the system including: the system comprises a ubiquitous resource management function module, a network slice management function module and a calculation slice management function module;
the ubiquitous resource management function module is used for adjusting the computing resources of the computing slice management function module according to the QoS performance information of the network slice example sent by the receiving network slice management function module; and/or the presence of a gas in the gas,
the ubiquitous resource management function module is further configured to adjust the network transmission resource of the network management function module according to the received operation performance information of the computing resource slice instance sent by the computing slice management function module.
In some realizations of the first aspect, determining a third communication identifier associated with the second communication identifier according to the second communication identifier and a preset query condition includes: acquiring communication data corresponding to the second communication identifier; and determining a third communication identifier associated with the second communication identifier according to the preset inquiry condition and the communication data corresponding to the second communication identifier.
In some implementations of the first aspect, the ubiquitous resource management function module is further configured to receive a network slice instance identification, ID, sent by the network slice management function module and send the network slice instance ID to the compute slice management function module for the compute slice management function module to associate the compute resource slice instance ID with the network slice instance ID.
In some implementations of the first aspect, the ubiquitous resource management function module is further configured to receive association information of the computing resource slice instance identification ID and the network slice instance ID sent by the computing slice management function module.
In some implementations of the first aspect, the ubiquitous resource managing function module is further configured to send the network resource slice template to the network slice managing function module according to the received service request, so that the network slice managing function module establishes the network slice instance.
In some implementations of the first aspect, the ubiquitous resource managing function module is further configured to send the computing resource slice template to the computing slice managing function module according to the received service request, so that the computing slice managing function module establishes the computing resource slice instance.
In some implementations of the first aspect, the computing resource slice template includes at least the following parameters: calculating resource slice template identification ID, CPU parameter or GPU parameter, memory parameter, storage parameter and connection parameter.
In some implementations of the first aspect, the quality of service QoS performance information of the network slice instance comprises at least one of: end-to-end QoS performance information, radio access network RAN subnet slice QoS performance information, bearer network subnet slice QoS performance information and core network subnet slice QoS performance information.
In some implementations of the first aspect, the ubiquitous resource management functional module is further configured to adjust an operating condition of the computing resource slice instance according to the network slice instance operating condition information sent by the receiving network slice management functional module;
the network slice instance running state information is network slice instance running suspension, network slice instance running recovery or network slice instance running termination.
In some implementations of the first aspect, the operational performance information of the slice of computing resources comprises at least one of: operation delay, CPU utilization rate, GPU utilization rate and memory utilization rate.
In some implementations of the first aspect, the ubiquitous resource management functional module is further configured to adjust an operation status of the network slice instance according to the operation status information of the computing resource slice instance sent by the receiving computing slice management functional module;
the operation condition information of the computing resource slice instance is the operation suspension of the computing resource slice instance, the operation recovery of the computing resource slice instance or the operation termination of the computing resource slice instance.
In a second aspect, there is provided a method for resource slice management applied to the system for resource slice management in the first aspect or any implementable manner of the first aspect, the method including: a ubiquitous resource management function module in the system receives service quality QoS performance information of a network slice example sent by a network management function module in the system and operation performance information of a computing resource slice example sent by a computing slice management function module in the system;
the ubiquitous resource management functional module adjusts the computing resources of the computing slice management functional module according to the QoS performance information;
and the ubiquitous resource management functional module adjusts the network transmission resources of the network management functional module according to the operation performance information.
In a third aspect, an apparatus for resource slice management is provided, the apparatus including: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements a method of resource slice management as implementing the second aspect.
In a fourth aspect, a computer readable storage medium is provided, having stored thereon computer program instructions which, when executed by a processor, implement the method of resource slice management as in the second aspect.
According to the resource slice management system provided by the embodiment of the invention, the newly added ubiquitous resource management function module and the newly added computational slice management function module are used for carrying out combined management on the network resource slices and the computational resource slices, the computational resources of the computational slice management function module are adjusted according to the QoS performance information of the network slice examples sent by the network slice management function module, and the network transmission resources of the network management function module are adjusted according to the operation performance information of the computational resource slice examples sent by the network slice management function module, so that the traditional 5G network transmission system and the MEC edge computing system which are originally independent can be deeply fused, and the performance guarantee of the QoS from transmission to processing of the whole flow of the service is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a network slice management framework provided by an embodiment of the present invention;
fig. 2 is an MEC system architecture provided by an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a system for resource slice management according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of interaction information of a ubiquitous resource management function module and a network slice management function module according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of interaction information of a ubiquitous resource management function module and a compute slice management function module according to an embodiment of the present invention;
FIG. 6 is a block diagram illustrating a sub-slice management function module of a compute slice management function module according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a resource slice management method according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another resource slice management method provided in the embodiment of the present invention;
fig. 9 is a schematic structural diagram of a resource slice management device according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The 5G technology overcomes the defects that the traditional communication uses a single air interface and the network cannot effectively meet the differentiated service. Besides supporting a traditional Enhanced Mobile Broadband (eMBB) scene, services such as unmanned driving, industrial automation and the like are introduced for a low-delay high-reliability transmission service, and a scene of a large-scale Internet of things service with larger scale and lower power consumption is introduced on the basis of a Long Term Evolution (LTE-A) upgrade version (Long Term Evolution-Advanced) accelerating the requirement of the Internet of things. A5G network meeting the requirements of differentiated services is constructed from speed, reliability and connection number, and the rapid development and alternation of vertical industries, such as the rise of intelligent medical treatment, intelligent education, intelligent agriculture and the like, are promoted. To meet the differentiated service requirements, there are two schemes, network slicing and Multi-Access Edge Computing (MEC).
Specifically, end-to-end delay of a service is required to be <5ms in many application scenarios. Taking a Virtual Reality (VR) VR/Augmented Reality (AR) operation in an intelligent medical scene as an example, a doctor transmits image data of a patient to an MEC edge computing platform in real time through a camera, returns the data to a display terminal of the doctor after depth rendering and three-dimensional reconstruction of the patient of the MEC edge computing platform, and performs an operation according to a rendered result. The 3GPP explicitly defines for this application that the Round Trip Time (RTT) from data acquisition to data return is 5ms, which requires services to maintain low delay not only in network transmission, but also in data operation and processing.
Further, low delay of network transmission can be realized through network slicing, and how to ensure that the computation time of complex operation is short enough currently lacks an effective guarantee mechanism. Multiple services, such as an AR/VR rendering application, an Artificial Intelligence (AI) intelligent film reading application, an intelligent image enabling application, a data analysis application, and the like, may be deployed simultaneously on a common hardware resource. In a certain time period, there is a need for multiple services to be simultaneously operated, wherein services with low QoS requirements may occupy most of computing and storage resources, which makes high-priority services unable to be operated due to lack of sufficient computing and storage resources, thereby resulting in that the end-to-end QoS of the service does not meet the requirements, and even may cause serious medical safety accidents.
Secondly, considering that the network resource slice and the MEC edge computing belong to two independent systems, due to the lack of an efficient interconnection mechanism between the two systems, a situation that the MEC edge computing system is halted or suspended due to a fault but the network side is still continuously transmitting data to the MEC edge computing platform may occur. In this case, not only the QoS requirements of the users cannot be met, but also a serious security risk may be introduced due to the dead zone of the traffic in transmission time.
In addition, on the network side, a security mechanism constructs a plurality of virtual logic tunnels through the slices to realize the isolation of transmission resources among different slices, and the security of data in a transmission network is ensured by combining other security mechanisms; for an MEC edge computing platform, multiple applications from different slices are hosted on the MEC edge computing platform, which results in the integrity of the slice network security being potentially compromised on the MEC, making security compromised. For example, two slices a and B exist in the system, and the slice a and the slice B require physical isolation on network transmission resources to ensure absolute security of the slice a; however, if slice a and slice B both have edge computing requirements and their associated applications are deployed on the same edge computing platform, it is necessary to require that slice a's applications be physically isolated from slice B's applications, with a level protection requirement on the MEC at least comparable to that of a network slice. Otherwise, the application of slice B may attack slice B through database, storage, computational resource destruction, etc., resulting in slice B itself being insecure. Moreover, if multiple applications may be deployed simultaneously within the same slice, there may be different security isolation requirements between different applications.
A Network slice is one of the key technologies of 5G, a Network slice completes the standardization of an air interface and a core Network in the standardization stage of the third generation partnership project 3GPP R15, fig. 1 is a Network slice Management framework provided in an embodiment of the present invention, a bearer Network slice is still in the standardization stage at present, and a slice Management framework defined by 3GPP is shown in fig. 1 and includes three contents of a user Service Management Function (CSMF), a Network Slice Management Function (NSMF), and a subnet slice Management Function (NSSMF). The whole network slice is based on infrastructure virtualization management (VIM), network function virtualization life cycle management (VNFM) and Network Function Virtualization (NFVO), a service orchestration management platform (NFV-MANO) is constructed, and the slice division and management functions of an access side, a bearer network and a core network are realized.
The multi-access edge computing (MEC) is a leading multi-access edge computing platform standard of the european telecommunications standardization association, which is evolved from an initial mobile edge computing platform to a multi-access edge computing platform based on a virtual network architecture, and provides a more efficient service operation service by virtualizing and servicing MEC applications, platforms and resources to meet the differentiated requirements of different services on processing capabilities, the european telecommunications standardization association standard organization defines an MEC system architecture, fig. 2 is an MEC system architecture provided by an embodiment of the present invention, and as shown in fig. 2, the MEC system architecture mainly consists of three parts including an MEC system (MEC system-level), an MEC host (MEC host level), and a network (Networks). The MEC system is responsible for the allocation, recovery and coordination work of the whole MEC resource so as to meet the requirements of different services on computing and transmission resources; the MEC host provides necessary calculation, storage and transmission functions for the MEC application and the MEC platform; the network provides different network options for upper layer applications, including 3GPP wireless network, non-3 GPP wireless network and wired network, and dynamically adjusts the routing strategy according to the upper layer signaling, so as to meet the transmission requirements of different services on the network.
As known from the current convergence architecture of 5GC network slice, 5GC network slice and ETSI defined MEC edge calculation defined by 3GPP, only the basic function that a convergence enabling MEC can be deployed nearby an edge node by using a convergence enabling MEC of a 5GC core network element user port is realized at present.
However, how to enable the deep fusion of the 5GC network slice and the MEC edge computing system, and fully exert the respective advantageous capabilities to satisfy the end-to-end, full-flow QoS and security guarantee of the service transmission from the network to the computing resource allocation is still a problem to be solved
For this reason, in order to ensure the end-to-end QoS performance of the service, network transmission resources and computing resources need to be combined and dynamically coordinated to adapt to the performance of the service full-flow link, including air interface performance, bearer network performance, core network performance, and computing resource performance; and ensuring the consistency of the security level of the service on the transmission network and the edge computer through joint coordination. Therefore, in the system for resource slice management provided by the embodiment of the present invention, a ubiquitous resource management function module is added, so that a network resource slice and a computing resource slice can be jointly managed, and corresponding network transmission resources and computing resources can be correspondingly adjusted according to different feedback information, so that two originally independent conventional 5G network transmission and MEC edge computing systems can be deeply integrated, thereby ensuring the performance guarantee of the service quality QoS from transmission to processing of the whole flow.
The embodiment of the invention provides a new resource slice management scheme which comprises the following steps: ubiquitous resource slicing (Universal resource slicing). By adding the computing resource slice management function, the ubiquitous resource management function of network resources and computing resources can be coordinated. The system for resource slice management according to the embodiment of the present invention is described below with reference to the accompanying drawings.
Fig. 3 is a schematic structural diagram of a system for resource slice management according to an embodiment of the present invention. As shown in fig. 3, the system may include: a ubiquitous resource management function module 101, a network slice management function module 102, and a compute slice management function module 103.
Specifically, the ubiquitous resource management functional module 101 may be configured to adjust the computing resource of the computing slice management functional module according to the QoS performance information of the network slice instance sent by the receiving network slice management functional module 102;
the ubiquitous resource managing function module 101 may further be configured to adjust the network transmission resource of the network management function module according to the received operation performance information of the computing resource slice instance sent by the computing slice managing function module 103.
In some embodiments, the whole system architecture can be composed of modules and signaling parts needing interaction between the modules.
In some embodiments, the ubiquitous resource slice management function of the ubiquitous resource management function module can dynamically adjust transmission resources and calculation resources according to real-time transmission QoS performance feedback of a service in a network slice and feedback of a real-time operation performance index of a calculation resource slice, and ensure end-to-end QoS performance of the service.
Specifically, fig. 4 is a schematic diagram of interaction information of a ubiquitous resource management functional module and a network slice management functional module according to an embodiment of the present invention, where signaling interaction between the ubiquitous resource management functional module 101 and the network slice management functional module 102 includes, but is not limited to: the system comprises a network slice template, network slice instance operation management information, a network slice instance ID, network transmission performance, network slice instance operation conditions and the like.
In some embodiments, the ubiquitous resource managing functional module 101 is further specifically configured to send the network resource slice template to the network slice managing functional module 102 according to the received service request, so that the network slice managing functional module 102 establishes the network slice instance.
In some embodiments, the network slice management function 102 creates a network slice instance after the network resource slice template according to the network resource requirements required by the service, and sends the network slice instance ID to the ubiquitous resource management function 101.
In some embodiments, the ubiquitous resource managing functional module 101 is further specifically configured to receive the network slice instance identification ID sent by the network slice managing functional module 102, and send the network slice instance ID to the compute slice managing functional module, so that the compute slice managing functional module 103 associates the compute resource slice instance ID with the network slice instance ID.
In some embodiments, the ubiquitous resource managing function module 101 may perform a correlation operation, such as a security encryption operation, a service fast registration operation, and the like, according to the network slice instance ID, and send the network slice instance ID to the computing slice managing function module 103, so that the computing slice managing function module 103 performs a correlation operation, such as a security encryption operation, a service fast registration operation, and the like, on the same service according to the network slice instance ID.
In some embodiments, associating the computing resource slice instance ID with the network slice instance ID can ensure consistency of computing resources with transmission resource attribution, thereby enabling consistency of security protection levels across resource slices, jointly coordinating transmission with computing resources to meet quality of service for the full flow of traffic.
In some embodiments, according to the service request, determining a network resource requirement and a computing resource requirement required by the service, the ubiquitous resource management functional module 101 may establish a network resource slice template according to the network resource requirement required by the service, and send the network resource slice template to the network slice management functional module 102, so that the network slice management functional module 102 determines a slice scheme of the network slice resource according to the network resource slice template.
In some embodiments, the web-cut resource slice parameter template includes, but is not limited to, at least one of the following parameters: the slicing template ID, the radio access network RAN air interface subnet slicing parameter, the bearer network subnet slicing parameter, the core network subnet slicing parameter and the like.
The ubiquitous resource management functional module 101 is further specifically configured to send the computing resource slice template to the computing slice management functional module 103 according to the received service request, so that the computing slice management functional module 103 establishes a computing resource slice instance.
Specifically, fig. 5 is a schematic diagram of interaction information of a ubiquitous resource management functional module and a compute slice management functional module according to an embodiment of the present invention, where signaling interaction between the ubiquitous resource management functional module 101 and the compute slice management functional module 103 includes, but is not limited to: computing slice templates, network slice instance IDs computing resource slice instance running management information, computing performance, computing resource slice instance running conditions, and the like.
In some embodiments, the ubiquitous resource management functional module 101 may establish a computing resource slice parameter template according to a computing resource requirement required by the service, and send the computing resource slice parameter template to the computing slice management functional module 103, so that the computing slice management functional module 103 determines a slice scheme of the network slice resource according to the computing resource network slice parameter template, thereby implementing conversion of the requirement of the service into a requirement of the computing resource.
In some embodiments, the computing slice management function module 103 is further configured to associate the received network slice instance ID with the computing resource slice instance identification ID, and obtain association information between the computing resource slice instance identification ID and the network slice instance ID.
In some embodiments, the ubiquitous resource management function module is further configured to receive association information of the computing resource slice instance identification ID and the network slice instance ID sent by the computing slice management function module.
In some embodiments, the computed resource slicing parameter template includes, but is not limited to, at least the following parameters: calculating resource slice template identification ID, CPU parameter or GPU parameter, memory parameter, storage parameter and connection parameter.
In some embodiments, the computed slicing resources parameter template may further include, but is not limited to, at least two of the following parameters: processing delay, security level, computing resource requirement, storage resource requirement, memory resource requirement, computing resource occupation mode, memory resource occupation mode, storage resource occupation mode and the like.
As a specific embodiment, the processing delay is used to describe the maximum processing delay required by the service. Specific values, such as 5ms, 12ms, etc., can be used in the implementation process; or N levels, each level corresponding to a specific delay, for example, 1 level is 5ms, 2 level is 10ms, 3 level is 15ms, and the like.
As a specific example, the security level is used to describe the level of security protection required for the service. In the implementation process, the protection mode can be specific, such as physical isolation, virtual isolation and no isolation; or N levels, each level corresponding to a security requirement; for example, a level 1 is physical isolation, a level 2 is virtual isolation requiring 1, a level 3 is virtual isolation requiring 2, and a level 4 is no isolation.
As a specific example, computing resource requirements are used to describe the requirements for a CPU or GPU. The calculation power of a CPU (Central processing Unit) can be calculated in the implementation process, such as 10 ten thousand MIPS (million instructions per second) and the like; the requirement of the number of processes can also be met, such as 10 processes and 20 processes; or a combination of force and number of strokes.
As a particular example, storage resource requirements are used to describe the requirements for storage resources. The implementation process may be implemented in a specific number, such as 1GB, 2GB, and the like.
As a specific example, the memory resource requirement is used to describe the requirement for memory resources. The implementation process may be implemented in a specific number, such as 1GB, 2GB, and the like.
As a specific embodiment, the computing resource occupation mode, the memory resource occupation mode, and the storage resource occupation mode are used to describe the resource usage mode. As a specific embodiment, the implementation process may be implemented in an exclusive manner, a shared manner, or a non-required manner.
In some embodiments, the service requirement is known by the fsm 103 according to the above parameters, and further, the sub-slice management function module of the fsm 103 is set, as a specific embodiment, fig. 6 is a schematic structural diagram of the sub-slice management function module of the fsm according to an embodiment of the present invention, and as shown in fig. 6, the sub-slice management function module of the fsm may include: a computing resource sub-slice management function module, a connection resource sub-slice management function module, and a memory/storage resource sub-slice management function module.
Further, in some embodiments, the computing resource sub-slice management function module may further include a CPU/GPU sub-slice management function module, and in consideration of performance differences between different types of CPUs and CPUs in the MEC cluster, and possibly some locations where GPUs are deployed, the CPU/GPU sub-slice management function module controls and manages resources of the CPU/GPU, specifies computing resources required by the computing resource slice according to different business requirements, and the control granularity may be the number of CPU/GPU entities, or the number of processes, threads, and the like of the CPU or the GPU.
In some embodiments, the memory/storage resource sub-slice management function module can control and manage the memory, and specify the memory resource required by the computing resource slice according to different business requirements, so as to ensure that the application in the slice can stably run, and can control and manage the storage resource, and specify the storage resource required by the computing resource slice according to different business requirements, so as to ensure that the application in the slice can stably run.
In some embodiments, considering that CPUs are distributed in different physical entities and connection resources are required to connect the entities, and possible connection modes include optical fiber connection, Infinite Bandwidth (IB) connection, internet access connection, wireless connection, and the like, it can be understood that the connection mode between CPUs can be managed by connecting resource sub-slice management function modules, and the connection mode is dynamically selected according to different business requirements.
With reference to fig. 4, a schematic diagram of mutual information between a ubiquitous resource management function module and a network slice management function module according to an embodiment of the present invention is provided, and fig. 5 is a schematic diagram of mutual information between a ubiquitous resource management function module and a computing slice management function module according to an embodiment of the present invention.
In some embodiments, the ubiquitous resource management functional module 101 may be configured to at least adjust the computing resources of the compute slice management functional module based on the quality of service, QoS, performance information of the network slice instance sent by the receiving network slice management functional module 102.
Specifically, in some embodiments, the QoS performance information of the network slice instance may include at least one of the following: end-to-end QoS performance information, radio access network RAN subnet slice QoS performance information, bearer network subnet slice QoS performance information and core network subnet slice QoS performance information.
As a specific embodiment, the ubiquitous resource management functional module 101 feeds back and sends QoS performance information of the network slice instance according to the network slice management functional module 102, and adjusts the computing resources to adapt to QoS performance of the full process, such as end-to-end performance of the service.
In some embodiments, the ubiquitous resource managing function 101 may be further configured to adjust the network transmission resource of the network management function according to the operation performance information of the computing resource slice instance sent by the receiving computing slice managing function 103.
Specifically, in some embodiments, the computation performance information of the computing resource slice may include at least one of the following information: operation delay, CPU utilization rate, GPU utilization rate and memory utilization rate.
As a specific embodiment, the ubiquitous resource management functional module 101 sends the computing performance information of the computing resource slice according to the feedback from the network slice management functional module 102, and adjusts the network transmission resource to adapt to the Qos performance of the service implementation overall process.
In some embodiments, the ubiquitous resource management functional module 101 may be configured to adjust the operating conditions of the computing resource slice instance based on the network slice instance operating condition information sent by the receiving network slice management functional module.
Further, the network slice instance running state information is network slice instance running suspension, network slice instance running recovery or network slice instance running termination.
It can be understood that, by adding the network slice management function module 102 to feed back the operation status of the network slice instance to the ubiquitous resource management function module 101, the ubiquitous resource management function module 101 can send the computing resource slice instance management information according to the received operation status of the network slice instance, so as to adjust the operation status of the computing slice instance in real time.
In some embodiments, the computing resource slice instance management information may be computing resource slice instance termination, computing resource slice instance resumption.
As a specific embodiment, for example, when the network slice management function module 102 feeds back that the slice instance has been terminated by the user, the ubiquitous resource management function module 101 sends a compute slice instance termination command to the compute slice management function module 103 to terminate the compute slice instance.
In some embodiments, the ubiquitous resource management functional module 101 is further operable at least to adjust the network slice instance health based on receiving the health information of the computing resource slice instance sent by the computing slice management functional module 103.
The operation condition information of the computing resource slice instance is the operation suspension of the computing resource slice instance, the operation recovery of the computing resource slice instance or the operation termination of the computing resource slice instance.
It can be understood that, by adding the computing slice management function module 103 to feed back the operating condition of the computing resource slice instance to the ubiquitous resource management function module 101, the ubiquitous resource management function module 101 can send the network slice instance management information according to the received operating condition of the computing resource slice instance, and can realize real-time adjustment of the operating condition of the network slice instance.
In some embodiments, the network slice instance management information may be network slice instance termination, network slice instance suspension, or network slice instance resumption.
As a specific embodiment, for example, when the computing slice management function module 103 feeds back that the computing resource slice instance has been terminated by the user, the ubiquitous resource management function module 101 sends a network slice instance termination command to the network slice management function module 102 to terminate the network slice instance.
The resource slice management system provided by the embodiment of the invention can solve the problems of service quality and safety of a series of industrial applications caused by no deep fusion of separation of network slices and computing resources, can carry out combined management on the network resource slices and the computing resource slices by adding a ubiquitous resource management function module, and can correspondingly and dynamically adjust corresponding network transmission resources and computing resources according to different feedback information, so that the traditional 5G network transmission and MEC edge computing systems which are originally independent can be deeply fused to ensure the performance guarantee of the service quality QoS from transmission to the processing whole flow of the service.
The resource slice management system provided by the embodiment of the invention enables the 5GC core network slice to be tightly coupled with the edge computing capability, thereby ensuring the end-to-end service quality of the service from the transmission resource to the computing resource, the whole flow and the safety requirements of different services.
Based on the specific implementation manner of the system for managing the resource slices provided by the embodiment of the invention, the invention also provides a specific implementation manner of the resource slice management method applied to the system for managing the resource slices provided by the embodiment of the invention. As shown in fig. 7, fig. 7 is a schematic structural diagram of a resource slice management method according to an embodiment of the present invention, where the resource slice management method may include the following steps:
s701, receiving quality of service (QoS) performance information of a network slice example sent by a network management function module in a system;
s702, according to the QoS performance information, adjusting the computing resources of the computing slice management function module.
Specifically, in some embodiments, a ubiquitous resource management function in the system receives quality of service, QoS, performance information of a network slice instance sent by a network management function in the system.
In some embodiments, the quality of service QoS performance information of a network slice instance includes, but is not limited to, at least one of: end-to-end QoS performance information, radio access network RAN subnet slice QoS performance information, bearer network subnet slice QoS performance information and core network subnet slice QoS performance information.
And the ubiquitous resource management functional module adjusts the computing resources of the computing slice management functional module according to the QoS performance information.
In some embodiments, prior to performing S701, the ubiquitous resource managing function module sends the network resource slice template to the network slice managing function module according to the received service request, so that the network slice managing function module establishes the network slice instance.
In some embodiments, prior to performing S701, a ubiquitous resource management function in the system receives the network slice instance identification ID sent by the network slice management function and sends the network slice instance ID to the compute slice management function for the compute slice management function to associate the compute resource slice instance ID with the network slice instance ID.
In some embodiments, after executing S701, the ubiquitous resource management functional module adjusts the operating conditions of the computing resource slice instances according to the network slice instance operating condition information sent by the receiving network slice management functional module;
in some embodiments, the network slice instance operation status information is a network slice instance operation suspension, a network slice instance operation recovery, or a network slice instance operation termination.
The invention also provides another specific implementation mode of the resource slice management method applied to the resource slice management system provided by the embodiment of the invention. As shown in fig. 8, fig. 8 is a schematic structural diagram of another resource slice management method according to an embodiment of the present invention, where the resource slice management method may include the following steps:
s801, receiving operation performance information of a computing resource slice example sent by a computing slice management function module in a system;
s802, adjusting the network transmission resource of the network management function module according to the operation performance information.
Specifically, in some embodiments, a ubiquitous resource management function module in the system receives computation performance information of a compute resource slice instance sent by a compute slice management function module in the system;
in some embodiments, the operational performance information of the slice of computing resources includes, but is not limited to, at least one of: operation delay, CPU utilization rate, GPU utilization rate and memory utilization rate.
And the ubiquitous resource management functional module adjusts the transmission resources of the network management functional module according to the operation performance information.
In some embodiments, before executing S801, the ubiquitous resource management function module in the system is further configured to send the computing resource slice template to the computing slice management function module according to the received service request, so that the computing slice management function module establishes the computing resource slice instance.
In some embodiments, the computing resource slice template includes at least the following parameters, but is not limited to: calculating resource slice template identification ID, CPU parameter or GPU parameter, memory parameter, storage parameter and connection parameter.
In some embodiments, the computed slicing resources parameter template may further include, but is not limited to, at least two of the following parameters: processing delay, security level, computing resource requirement, storage resource requirement, memory resource requirement, computing resource occupation mode, memory resource occupation mode, storage resource occupation mode and the like.
In some embodiments, prior to performing S801, the compute slice management function module in the system also receives a network slice instance ID for the same traffic, the compute slice management function module associating the compute resource slice instance ID with the network slice instance ID.
In some embodiments, a ubiquitous resource management function in the system receives the association information of the computing resource slice instance identification ID and the network slice instance ID sent by the computing slice management function.
In some embodiments, after executing S801, the ubiquitous resource managing function module adjusts the operation status of the network slice instance according to the operation status information of the computing resource slice instance sent by the receiving computing slice managing function module;
the operation condition information of the computing resource slice instance is the operation suspension of the computing resource slice instance, the operation recovery of the computing resource slice instance or the operation termination of the computing resource slice instance.
The resource slice management method provided by the embodiment of the invention can solve the problems of service quality and safety of a series of industrial applications caused by no deep fusion of separation of network slices and computing resources, can carry out combined management on the network resource slices and the computing resource slices by adding a ubiquitous resource management function module, and can correspondingly and dynamically adjust corresponding network transmission resources and computing resources according to different feedback information, so that the traditional 5G network transmission system and the MEC edge computing system which are originally independent can be deeply fused, and the performance guarantee of the service quality QoS from transmission to processing of the whole flow of the service is ensured.
The resource slice management method provided by the embodiment of the invention enables the 5GC core network slice to be tightly coupled with the edge computing capability, thereby ensuring the end-to-end service quality of the service from the transmission resource to the computing resource, the whole flow and the safety requirements of different services.
It can be understood that the resource slice management method according to the embodiment of the present invention may be applied to the system for resource slice management provided in the embodiment of the present invention, and corresponds to the specific details of the operation and/or function of each module/unit provided in the embodiment of the present invention, and therefore, the resource slice management method according to the embodiment of the present invention may refer to the description of the corresponding parts in the system for resource slice management provided in the embodiment of the present invention, and is not described herein again for brevity.
Fig. 9 is a schematic structural diagram of a resource slice management device according to an embodiment of the present invention.
As shown in fig. 9, the resource slice management apparatus 900 in the present embodiment includes an input apparatus 901, an input interface 902, a central processor 903, a memory 904, an output interface 905, and an output apparatus 906. The input interface 902, the central processing unit 903, the memory 904, and the output interface 905 are connected to each other through a bus 910, and the input device 901 and the output device 906 are connected to the bus 910 through the input interface 902 and the output interface 905, respectively, and further connected to other components of the resource slice management device 900.
Specifically, the input device 901 receives input information from the outside, and transmits the input information to the central processor 903 through the input interface 902; central processor 903 processes input information based on computer-executable instructions stored in memory 904 to generate output information, stores the output information temporarily or permanently in memory 904, and then transmits the output information to output device 906 via output interface 905; the output device 906 outputs the output information to the outside of the resource slice management device 900 for use by the user.
That is, the resource slice management apparatus shown in fig. 9 may also be implemented to include: a memory storing computer-executable instructions; and a processor, which when executing computer-executable instructions, may implement the resource slice management system and method provided by embodiments of the present invention.
In one embodiment, the apparatus 900 for resource slice management shown in fig. 9 comprises: a memory 904 for storing programs; the central processing unit 903 is configured to execute a program stored in the memory to perform the method for managing resource slices according to the embodiment of the present invention.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium has computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement the resource slice management system and method provided by embodiments of the present invention.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic Circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuits, semiconductor Memory devices, Read-Only memories (ROMs), flash memories, erasable ROMs (eroms), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (13)
1. A system for resource slice management, comprising: the system comprises a ubiquitous resource management function module, a network slice management function module and a calculation slice management function module;
the ubiquitous resource management functional module is used for adjusting the computing resources of the computing slice management functional module according to the received QoS performance information of the network slice example sent by the network slice management functional module; and/or the presence of a gas in the gas,
the ubiquitous resource management functional module is further configured to adjust the network transmission resource of the network management functional module according to the received operation performance information of the computing resource slice instance sent by the computing slice management functional module.
2. The system according to claim 1, wherein the ubiquitous resource management function module is further configured to receive a network slice instance identification ID sent by the network slice management function module and send the network slice instance ID to the compute slice management function module for the compute slice management function module to associate a compute resource slice instance ID with the network slice instance ID.
3. The system according to claim 2, wherein the ubiquitous resource management function module is further configured to receive association information of the computing resource slice instance identification ID and the network slice instance ID sent by the computing slice management function module.
4. The system according to claim 2, wherein the ubiquitous resource management function module is further configured to send a network resource slice template to the network slice management function module according to the received service request, so that the network slice management function module establishes a network slice instance.
5. The system of claim 2, wherein the ubiquitous resource management function is further configured to send a computing resource slice template to the computing slice management function for the computing slice management function to create a computing resource slice instance according to the received service request.
6. The system of claim 5, wherein the computing resource slice template comprises at least the following parameters: calculating resource slice template identification ID, CPU parameter or GPU parameter, memory parameter, storage parameter and connection parameter.
7. The system of claim 1, wherein the quality of service (QoS) performance information of the network slice instance comprises at least one of: end-to-end QoS performance information, radio access network RAN subnet slice QoS performance information, bearer network subnet slice QoS performance information and core network subnet slice QoS performance information.
8. The system according to claim 1, wherein the ubiquitous resource management functional module is further configured to adjust the operation status of the computing resource slice instance according to the received network slice instance operation status information sent by the network slice management functional module;
the network slice instance running state information is network slice instance running suspension, network slice instance running recovery or network slice instance running termination.
9. The system of claim 1, wherein the operational performance information of the slice of computing resources comprises at least one of: operation delay, CPU utilization rate, GPU utilization rate and memory utilization rate.
10. The system according to claim 1, wherein the ubiquitous resource management function module is further configured to adjust the operation status of the network slice instance according to the received operation status information of the computing resource slice instance sent by the computing slice management function module;
the operation condition information of the computing resource slice instance is the operation suspension of the computing resource slice instance, the operation recovery of the computing resource slice instance or the operation termination of the computing resource slice instance.
11. A method for resource slice management applied to the system for resource slice management of any one of claims 1 to 10, the method comprising:
a ubiquitous resource management function module in the system receives quality of service (QoS) performance information of a network slice example sent by a network management function module in the system and operation performance information of a computing resource slice example sent by a computing slice management function module in the system;
the ubiquitous resource management functional module adjusts the computing resources of the computing slice management functional module according to the QoS performance information;
and the ubiquitous resource management functional module adjusts the network transmission resource of the network management functional module according to the operation performance information.
12. A resource slice management apparatus, characterized in that the apparatus comprises: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method of resource slice management of claim 11.
13. A computer-readable storage medium having computer program instructions stored thereon which, when executed by a processor, implement the method of resource slice management of claim 11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911408676.3A CN113132269B (en) | 2019-12-31 | 2019-12-31 | System, method and computer readable storage medium for resource slice management |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911408676.3A CN113132269B (en) | 2019-12-31 | 2019-12-31 | System, method and computer readable storage medium for resource slice management |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113132269A true CN113132269A (en) | 2021-07-16 |
| CN113132269B CN113132269B (en) | 2023-04-25 |
Family
ID=76770546
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911408676.3A Active CN113132269B (en) | 2019-12-31 | 2019-12-31 | System, method and computer readable storage medium for resource slice management |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113132269B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180139106A1 (en) * | 2016-11-14 | 2018-05-17 | Huawei Technologies Co., Ltd. | System and method for accelerated provision of network services |
| US20180278466A1 (en) * | 2017-03-21 | 2018-09-27 | Huawei Technologies Co., Ltd. | Method and apparatus for operating network slices using shared risk groups |
| CN109005550A (en) * | 2018-05-30 | 2018-12-14 | 北京邮电大学 | A kind of the data plane optimization method and controller of mobile management |
| CN109218046A (en) * | 2017-06-30 | 2019-01-15 | 中国移动通信有限公司研究院 | The management method and system and storage medium of network slice |
| CN110087250A (en) * | 2019-04-04 | 2019-08-02 | 南京邮电大学 | A kind of network slice layout scheme and its method based on multiple target combined optimization model |
-
2019
- 2019-12-31 CN CN201911408676.3A patent/CN113132269B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180139106A1 (en) * | 2016-11-14 | 2018-05-17 | Huawei Technologies Co., Ltd. | System and method for accelerated provision of network services |
| US20180278466A1 (en) * | 2017-03-21 | 2018-09-27 | Huawei Technologies Co., Ltd. | Method and apparatus for operating network slices using shared risk groups |
| CN109218046A (en) * | 2017-06-30 | 2019-01-15 | 中国移动通信有限公司研究院 | The management method and system and storage medium of network slice |
| CN109005550A (en) * | 2018-05-30 | 2018-12-14 | 北京邮电大学 | A kind of the data plane optimization method and controller of mobile management |
| CN110087250A (en) * | 2019-04-04 | 2019-08-02 | 南京邮电大学 | A kind of network slice layout scheme and its method based on multiple target combined optimization model |
Non-Patent Citations (6)
| Title |
|---|
| BIN XIANG ET AL: ""Joint Network Slicing and_Mobile_Edge_Computing in 5G Networks"", 《IEEE》 * |
| HONGYU XIANG ET AL.: ""Network Slicing in Fog Radio Access Networks: Issues and Challenges"", 《IEEE》 * |
| MUGEN PENG ET AL.: ""Recent Advances in Fog Radio Access Networks: Performance Analysis and Radio Resource Allocation"", 《IEEE》 * |
| 杨志伟: ""移动通信网络切片的资源联合优化研究"", 《广东通信技术》 * |
| 王亚鑫: ""基于C-RAN的5G关键技术研究"", 《中国博士学位论文全文数据库》 * |
| 项弘禹 等: ""5G边缘计算和网络切片技术"", 《电信科学》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113132269B (en) | 2023-04-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110035401B (en) | Method and equipment for controlling QoS (quality of service) of default service | |
| Xue et al. | Edge computing for internet of things: A survey | |
| CN107395572B (en) | Data processing method and Internet of things gateway | |
| US11968122B2 (en) | Joint optimization method and system for delay and spectrum occupation in cloud-edge collaborative network | |
| CN107769946B (en) | Network configuration method and network equipment | |
| CN107566377B (en) | Method for carrying out multi-protocol adaptation on charging device and charging device | |
| CN114765819B (en) | Information transmission method and device | |
| WO2016173194A1 (en) | Updating method, device and system for information about resources | |
| CN112887117A (en) | Method, device and medium for accessing and configuring network slice | |
| CN104639557B (en) | A kind of method, system and equipment for establishing PCEP sessions | |
| CN112511621B (en) | Data transmission method and device, storage medium, and electronic device | |
| CN111432423A (en) | Resource allocation method and device | |
| US11556100B2 (en) | Control method, related device, and system | |
| CN113132269B (en) | System, method and computer readable storage medium for resource slice management | |
| CN112714146B (en) | Resource scheduling method, device, equipment and computer readable storage medium | |
| CN112202896A (en) | Edge calculation method, frame, terminal and storage medium | |
| CN109688071B (en) | Flexible Ethernet message forwarding method and device | |
| CN114827781B (en) | Network collaboration method, device, equipment and storage medium | |
| CN109600837B (en) | System information generation method and device | |
| CN109716716B (en) | Method and device for establishing joint route | |
| CN113055214B (en) | Port attribute determining method and related equipment | |
| CN114071573B (en) | Session control method, apparatus, system and computer readable storage medium | |
| CN112118122A (en) | Method and system for controlling optical transmission network slice | |
| CN110875890B (en) | Information transmission method, device and system | |
| CN111294313B (en) | Control method and controller of access equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |