CN110858849A - Cloud distribution network scheduling system and method - Google Patents
Cloud distribution network scheduling system and method Download PDFInfo
- Publication number
- CN110858849A CN110858849A CN201810967689.3A CN201810967689A CN110858849A CN 110858849 A CN110858849 A CN 110858849A CN 201810967689 A CN201810967689 A CN 201810967689A CN 110858849 A CN110858849 A CN 110858849A
- Authority
- CN
- China
- Prior art keywords
- address
- scheduling
- server
- mixed
- type
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000012544 monitoring process Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012163 sequencing technique Methods 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/659—Internet protocol version 6 [IPv6] addresses
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/686—Types of network addresses using dual-stack hosts, e.g. in Internet protocol version 4 [IPv4]/Internet protocol version 6 [IPv6] networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a cloud distribution network scheduling system and method. The disclosed cloud distribution network scheduling system includes: and the scheduling device is used for receiving the access request, determining a target address type in the access request, and generating a scheduling instruction for scheduling a hybrid address type server corresponding to the target address type to provide services, wherein the target address type comprises an IPv4 address and an IPv6 address. The disclosed technical scheme can perform accurate scheduling for different types of IP addresses.
Description
Technical Field
The invention relates to the field of computer network and server load balancing, in particular to a cloud distribution network scheduling system and method.
Background
With the continuous expansion of the internet, the address pool of the IPv4 is exhausted, which will hinder the development of the internet to some extent, and therefore, the IETF has made the IPv6 protocol. The IPv6 will be rapidly popularized as the IP layer address identifier of the next generation internet device, and will face the problem of sharing IPv4 and IPv6 in the current and future internet development processes, and the network service provider (e.g., CDN manufacturer) will face the problem of traffic scheduling where IPv4 and IPv6 coexist, how to reasonably and conveniently make IPv4 and IPv6 coexist and make the scheduling of coexistence rationalized, efficient and automated, which becomes an important research topic of people today.
In the prior art, in order to implement coexistence scheduling in the process of transition from IPv4 to IPv6, a network service provider often needs to establish an IPv4 virtual machine and an IPv6 virtual machine on a network server, and a scheduler or an equalizer determines whether to use an IPv6 virtual machine service or an IPv4 virtual machine to provide network service according to the format of a server IP address in an access request, and then selects a corresponding IPv4 virtual machine (located in a CDN edge node, for example) or an IPv6 virtual machine, where the manner of using two virtual machines on one server needs to install two identical software respectively corresponding to two different virtual machines, which is very costly to the performance of the server. However, since the physical servers are only used to cache resources, the resources accessed by the two virtual machines in this manner are virtually indistinguishable. In addition, the method does not respectively count two different bandwidths (quantity or magnitude) corresponding to the accessed IPv4 address and IPv6 address, and does not respectively schedule, so that the problem that the bandwidth carrying capacity of the whole server is overloaded due to the fact that the IP addresses of different types cannot be accurately scheduled exists.
That is, in the prior art, in order to accelerate IPV6, a network service provider generally sets up IPV4 and IPV6 virtual machines, classifies and allocates resource pools, and determines whether to use the IPV4 service or the IPV6 service allocation server-corresponding virtual machine according to the format of the server IP address in an access request. In the process, the server is divided into two virtual machines, the same file needs two spaces, the operation is complex, and the installation needs to be repeated twice. In addition, when the resource pools are allocated in a classified manner, the problem of redundancy of resources of the server or the machine room is not considered, the coexistence scheduling allocation is uneven, more manual intervention operations are needed, and automation and high efficiency cannot be realized.
In order to solve the above problems, a new technical solution needs to be proposed.
Disclosure of Invention
The cloud distribution network scheduling system according to the present invention includes:
scheduling means for receiving the access request, determining a target address type in the access request, generating a scheduling instruction for scheduling a hybrid address type server corresponding to the target address type to provide a service,
wherein the target address types comprise an IPv4 address and an IPv6 address.
The cloud distribution network scheduling system according to the present invention further includes:
a hybrid address type server for providing a service according to the scheduling instruction,
the mixed address type server comprises a first type server provided with a network card supporting an IPv4 address protocol, a second type server provided with a network card supporting an IPv6 address protocol, and a third type server provided with a network card supporting an IPv4 address protocol and a network card supporting an IPv6 address protocol or a network card supporting an IPv4 address protocol and an IPv6 address protocol.
The cloud distribution network scheduling system according to the present invention further includes:
schedulable mixed address type server address information obtaining means for obtaining and providing schedulable mixed address type server address information to the scheduling means for use by the scheduling means in making scheduling decisions,
wherein, the schedulable mixed address type server address information includes: IP address information of a first type of server that can be scheduled, IP address information of a second type of server that can be scheduled, and IP address information of a third type of server that can be scheduled.
According to the cloud distribution network scheduling system, the schedulable mixed address type server address information acquisition device comprises:
the load capacity calculation module is used for calculating the available bandwidth load capacity of each mixed address type server and each machine room node when receiving the access request of the IPv4 address and/or the IPv6 address type in real time;
an address pool association module, which is used for obtaining schedulable mixed address type server address information based on the available bandwidth carrying capacity when each mixed address type server and each machine room node receive the access request of IPv4 address and/or IPv6 address type,
wherein, the schedulable mixed address type server address information includes:
the address of the hybrid address type server with the maximum available bandwidth carrying capacity or the address of the hybrid address type server with the maximum available bandwidth carrying capacity in the machine room node with the maximum available bandwidth carrying capacity respectively corresponds to the access request of the IPv4 address and/or the IPv6 address type; or
Addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity respectively corresponding to access requests of IPv4 addresses and/or IPv6 address types or addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity in a plurality of machine room nodes with large available bandwidth carrying capacity.
According to the cloud distribution network scheduling system of the invention, the scheduling device comprises:
a scheduling decision module for generating a scheduling instruction based on schedulable mixed address type server address information,
wherein the scheduling instruction includes an address of the scheduled mixed address type server.
The cloud distribution network scheduling method comprises the following steps:
receiving an access request through a scheduling device, determining a target address type in the access request, generating a scheduling instruction for scheduling a hybrid address type server corresponding to the target address type to provide service,
wherein the target address types comprise an IPv4 address and an IPv6 address.
The cloud distribution network scheduling method further comprises the following steps:
providing a service according to the scheduling instructions via the mixed address type server,
the mixed address type server comprises a first type server provided with a network card supporting an IPv4 address protocol, a second type server provided with a network card supporting an IPv6 address protocol, and a third type server provided with a network card supporting an IPv4 address protocol and a network card supporting an IPv6 address protocol or a network card supporting an IPv4 address protocol and an IPv6 address protocol.
The cloud distribution network scheduling method further comprises the following steps:
the address information of the schedulable mixed address type server is obtained by the schedulable mixed address type server address information obtaining device and is provided for the scheduling device to use when the scheduling device makes scheduling decision,
wherein, the schedulable mixed address type server address information includes: IP address information of a first type of server that can be scheduled, IP address information of a second type of server that can be scheduled, and IP address information of a third type of server that can be scheduled.
According to the cloud distribution network scheduling method, the schedulable mixed address type server address information obtaining device obtains and provides the schedulable mixed address type server address information for the scheduling device, and the scheduling device performs scheduling decision using the steps further comprising:
calculating available bandwidth carrying capacity when each mixed address type server and each machine room node receive access requests of IPv4 address and/or IPv6 address types in real time through a carrying capacity calculation module;
obtaining schedulable mixed address type server address information based on available bandwidth carrying capacity when each mixed address type server and each machine room node receive access requests of IPv4 address and/or IPv6 address type through an address pool association module,
wherein, the schedulable mixed address type server address information includes:
the address of the hybrid address type server with the maximum available bandwidth carrying capacity or the address of the hybrid address type server with the maximum available bandwidth carrying capacity in the machine room node with the maximum available bandwidth carrying capacity respectively corresponds to the access request of the IPv4 address and/or the IPv6 address type; or
Addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity respectively corresponding to access requests of IPv4 addresses and/or IPv6 address types or addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity in a plurality of machine room nodes with large available bandwidth carrying capacity.
According to the cloud distribution network scheduling method, the scheduling device receives an access request aiming at a mixed address type server, determines a target address type in the access request, and generates a scheduling instruction for scheduling the mixed address type server corresponding to the target address type to provide services, wherein the scheduling instruction comprises the following steps:
generating a scheduling instruction based on schedulable hybrid address type server address information via a scheduling decision module,
wherein the scheduling instruction includes an address of the scheduled mixed address type server.
According to the technical scheme of the invention, the IP addresses of different types can be accurately scheduled.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention. In the drawings, like reference numerals are used to indicate like elements. The drawings in the following description are directed to some, but not all embodiments of the invention. For a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 exemplarily shows a schematic diagram of a cloud distribution network scheduling system according to the present invention.
Fig. 2 schematically shows an embodiment of the cloud distribution network scheduling system according to the present invention.
Fig. 3 is a schematic diagram schematically illustrating exemplary steps that may be performed by a bearer calculation module in the schedulable hybrid address type server address information obtaining apparatus according to the present invention.
Fig. 4 exemplarily shows a schematic flow chart of a cloud distribution network scheduling method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present 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. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
Fig. 1 exemplarily shows a schematic diagram of a cloud distribution network scheduling system according to the present invention.
As shown in a solid line box of fig. 1, a cloud distribution network scheduling system 100 according to the present invention includes:
a dispatching device 101 for receiving the access request, determining the target address type in the access request, generating a dispatching instruction for dispatching the mixed address type server 103 corresponding to the target address type to provide service,
wherein the target address types comprise an IPv4 address and an IPv6 address.
For example, the access request is sent by the user 107 through the personal client 109 to the scheduling device 101 via the network.
For example, the scheduling device 101 may automatically perform the replacement scheduling of the address for different address types according to a scheduling task that is set in advance and needs to be executed. Optionally, specific information of each scheduling (e.g., whether the scheduling was successful, other returned results of the scheduling execution) may be recorded into the database.
For example, a MySQL database may be used, and a primary key "node" is set in the table according to the service software type, time, and problem type as unique identifiers, and the fields are mainly: "time", "IPv 4 address", "IPv 6 address", "classification type bandwidth", "classification type bearer amount", "scheduling result", and the like. And data operation is supported, and the content in the data can be synchronously modified when a new use case is changed. The storage can be carried out for a long time, and the reason inquiry or the fault disk recovery can be carried out when the storage is needed at the later stage.
Optionally, as shown in a dashed box of fig. 1, the cloud distribution network scheduling system 100 according to the present invention further includes:
a hybrid address type server 103 for providing a service according to a scheduling instruction,
the hybrid address type server 103 includes a first type server installed with a network card supporting an IPv4 address protocol, a second type server installed with a network card supporting an IPv6 address protocol, a third type server installed with a network card supporting an IPv4 address protocol and a network card supporting an IPv6 address protocol, or a network card supporting an IPv4 address protocol and an IPv6 address protocol.
For example, the first type server, the second type server, and the third type server may be a plurality of servers located in the same room node or located in different room nodes. One area may be provided with one or more room nodes, and a plurality of mixed address type servers 103 in one room node or a plurality of mixed address type servers 103 in a plurality of room nodes may provide the same network service.
For example, the hybrid address type server 103 includes an IPv6 address auto-add module (not shown in fig. 1), and the IPv6 address auto-add module may add the second type server or the third type server by:
s1: when applying for an address of IPv6 to the room, the network department may fill in an IPv6 address auto-add module (e.g., an entry page module for entering an IPv6 address).
S2: when an independent network card configured to support the IPv6 address protocol does not need to be additionally installed, for example, the IPv6 address can be acquired by the IPv6 address automatic adding module, and automatically sent to the IPv4 server, and the IPv6 address is automatically added to the network card where the node server IPv4 is located according to the IPv4 address from small to large.
Optionally, as shown in a dashed box of fig. 1, the cloud distribution network scheduling system 100 according to the present invention further includes:
schedulable hybrid address type server address information obtaining means 105 for obtaining and providing schedulable hybrid address type server address information to the scheduling means 101 for use by the scheduling means 101 in making scheduling decisions,
wherein, the schedulable mixed address type server address information includes: IP address information of a first type of server that can be scheduled, IP address information of a second type of server that can be scheduled, and IP address information of a third type of server that can be scheduled.
That is, the schedulable mixed address type server address information obtaining device 105 can perform data statistics and analysis respectively for the actual bandwidth amount of the coexisting address server (i.e., the mixed address type server) and the machine room node networking type from the actual access (i.e., based on the user access request), so as to provide a data basis for accurate coexistence scheduling.
For example, schedulable mixed address type server address information may be obtained by:
s3: and acquiring the bandwidth value accessed by different network card types (namely the target address types) on each server according to the address types of the network cards.
S4: the monitoring system acquires the IPv6 address added by the network card, and automatically monitors http, tcp and icmp in a related manner, and the addresses of the two types (namely, the target address types) need to be monitored separately mainly because the machine room has different network routes to IPv4 and IPv 6.
S5: alternatively, bandwidth data of the machine (i.e., server), monitoring data for different address types, may be stored in a database (e.g., database 111 shown in FIG. 1).
That is, as described above, the above-described coexistence scheduling system 100 including the hybrid address type server 103 (including the IPv6 address automatic addition module) and the schedulable hybrid address type server address information acquiring apparatus 105 is mainly used to: the method comprises the steps of automatically adding IPv6 addresses, collecting real-time machine bandwidth and node classification aggregate bandwidth of IPv4 and IPv6, and carrying out necessary availability monitoring on IPv6 addresses.
Fig. 2 schematically shows an embodiment of the cloud distribution network scheduling system according to the present invention.
As shown in fig. 2, the embodiment includes an IPv6 address automatic adding module, a schedulable hybrid address type server address information obtaining apparatus, and a database.
The IPv6 address automatic adding module is configured to execute the step S2; schedulable mixed address type server address information obtaining means for performing the above steps S3-S4; the database is used to store the bandwidth data and the monitoring data involved in the above step S5.
Optionally, the schedulable mixed address type server address information obtaining means 105 comprises (not shown in fig. 1):
the load capacity calculation module is used for calculating the available bandwidth load capacity of each mixed address type server and each machine room node when receiving the access request of the IPv4 address and/or the IPv6 address type in real time;
an address pool association module, which is used for obtaining schedulable mixed address type server address information based on the available bandwidth carrying capacity when each mixed address type server and each machine room node receive the access request of IPv4 address and/or IPv6 address type,
wherein, the schedulable mixed address type server address information includes:
the address of the hybrid address type server with the maximum available bandwidth carrying capacity or the address of the hybrid address type server with the maximum available bandwidth carrying capacity in the machine room node with the maximum available bandwidth carrying capacity respectively corresponds to the access request of the IPv4 address and/or the IPv6 address type; or
Addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity respectively corresponding to access requests of IPv4 addresses and/or IPv6 address types or addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity in a plurality of machine room nodes with large available bandwidth carrying capacity.
That is, the bearer calculation module (i.e., the basic data acquisition module) may calculate the available (egress or downlink) bandwidth bearers of each type (which is divided into two types, i.e., IPv4 and IPv6, according to the bandwidth egress type of the room) by calculating the peak bandwidth value and the used bandwidth value where the real-time single machine (i.e., a single server), the room node, and the IPv4 and IPv6 coexist. The address pool association module associates the address type with the machine room node in the area, the bandwidth outlet type with the corresponding real-time bandwidth and the bearing capacity, for example, address information of a schedulable mixed address type server can be obtained and used as a data basis of scheduling decision.
Fig. 3 is a schematic diagram schematically illustrating exemplary steps that may be performed by a bearer calculation module in the schedulable hybrid address type server address information obtaining apparatus according to the present invention.
As shown in fig. 3, the bearer calculation module may obtain the available bandwidth bearer by:
s1: the method comprises the steps of automatically acquiring the IPv4 and IPv6 bandwidth outlet types of machine room nodes, and judging whether the bandwidth outlet types are the same bandwidth outlet, the outlet bandwidth peak value and the server network card bandwidth peak value (most of the machine room bandwidth outlet peak values are defined for machine room charging, most of the server network card peak values are related to network card hardware information, for example, the 10G network card bandwidth outlet peak value is positioned by 7G).
And S2, corresponding to the step of 'bandwidth value calculation' in FIG. 3, automatically acquiring real-time IPv4 and IPv6 bandwidth values of the machine room nodes (namely, corresponding to '② subtype nodes IPv4 and IPv6 bandwidth values in FIG. 3), and real-time IPv4 and IPv6 bandwidth values of the single machine (namely, corresponding to' ① subtype single machine IPv4 and IPv6 bandwidth values in FIG. 3).
S3, if the IPv4 and the IPv6 are the same bandwidth outlet (i.e. corresponding to the IPv4/IPv6 same bandwidth outlet in FIG. 3), the available bandwidth carrying capacity of the node is that the bandwidth outlet peak value is subtracted (IPv4 and IPv6 bandwidth sum (i.e. corresponding to the "calculate node total bandwidth carrying capacity according to ④" in FIG. 3)), if the IPv4 and the IPv6 are different bandwidth outlets (i.e. corresponding to the "IPv 4/IPv6 different bandwidth outlets in FIG. 3), the available bandwidth carrying capacity of the node is that the different bandwidth outlet peak value is subtracted (corresponding to the address type bandwidth sum (i.e. corresponding to the" calculate IPv4 and IPv6 node carrying capacities according to ②, respectively ") in FIG. 3).
S4, calculating the available load of the single machine (i.e. corresponding to "calculating the bandwidth load of the server according to ③" in fig. 3), for example, since the third type server installs both the network card supporting the IPv4 address protocol and the network card supporting the IPv6 address protocol, or binds the IPv4 and the IPv6 to the original network card (the latter reduces the cost relative to the former), the available bandwidth load of the single machine is equal to the bandwidth peak value of the single server minus (the sum of the currently used IPv4 and IPv6 bandwidths).
S5, calculating the sub-region bandwidths of IPv4 and IPv6 (corresponding to the sub-region bandwidths of "⑤ IPv4 and IPv 6" in fig. 3) by differentiating the access logs, for example, since one of the CDN nodes is often used to serve multiple regions, for example, the total current bandwidth of IPv6 address on one of the CDN servers in one machine room node of a building is 2G, the sub-region bandwidth is fujian 1G, zhejiang 500M, and jiangxi 500M.
S6, calculating the single machine bandwidth ratio of the two current server addresses according to the single machine IPv4 and IPv6 bandwidth values (i.e. corresponding to the single machine bandwidth ratio of IPv4/IPv6 in FIG. 3 obtained according to ① and ③ in FIG. 3), the corresponding data can be stored in the database.
For example, the address pool association module may derive schedulable mixed address type server address information as a data basis for scheduling decisions by:
s1: all the nodes of the CDN are divided according to regional operators, a set (namely a regional address pool) of server addresses contained in each regional node is constructed, and the addresses which are monitored abnormally are removed automatically. The scheduling means 101 performs scheduling by a local address pool by default.
S2: and counting the nodes in each area, the current bandwidth carrying capacity of the nodes, the number of node machines, the carrying capacity of the bandwidth of each machine and the bandwidth proportion of IPv4 and IPv6 of each machine.
S3: firstly, classifying according to the types of machine room bandwidth outlets (IPv4 and IPv6 are the same bandwidth outlet, and IPv4 and IPv6 are different bandwidth outlets), then sequencing according to the sizes of the bandwidth bearing capacities of the nodes IPv4 and IPv6, and sequencing the single machine bearing capacity in each node respectively according to the sizes of the single machine bearing capacities, thereby obtaining the address information of the schedulable mixed address type server.
S4: alternatively, the corresponding data (i.e., the schedulable hybrid address type server address information described above) may be stored in a database.
Optionally, the scheduling means 101 comprises (not shown in fig. 1):
a scheduling decision module for generating a scheduling instruction based on schedulable mixed address type server address information,
wherein the scheduling instruction includes an address of the scheduled mixed address type server.
For example, for different scheduling scenarios a and B, the corresponding scheduling instructions may be generated by the following different steps:
1. scheduling scenario a: when a client newly accesses a domain name of a certain area to the CDN to accelerate, some basic information is filled before acceleration, an accelerated area peak value and an accelerated address type are obtained, and then an optimal node of a corresponding area address pool is selected to cover.
Com needs to speed up in the foghbuilding telecommunications area, for example, and is expected to have a 20G peak, IPv6 type address.
S1: the decision-making system automatically obtains the information.
S2: and automatically judging whether the current IPv6 bandwidth carrying capacity of the machine room in the Fujian telecommunication area has 20G, if so, carrying out the next step, and if not, selecting the machine room in the province of other same operators in the same district.
S3: preferentially selecting machine room nodes with different IPv4 bandwidth outlets and IPv6 bandwidth outlets, and if preferentially selecting the machine room nodes with the same bandwidth outlets, the bandwidth load of the machine room bandwidth outlets is easily overhigh.
S4: and selecting nodes with the load larger than 20G according to the load capacity, and selecting the first servers with the load sizes of the servers and servers close to 20G in the nodes as coverage edges (namely, generating scheduling instructions) in order to avoid excessive distribution.
2. Scheduling scenario B: the customer area magnitude is an expected value, and the overload of the current single machine or machine room node can be caused frequently due to burst or node abnormality.
S1: the monitoring discovers that the single machine or the node is overloaded.
S2: when the single machine is overloaded, the single machine bandwidth proportion of the single machines IPv4 and IPv6 is automatically obtained, the address type with the higher proportion is preferentially called, and the judgment is performed according to the server partition bandwidth (for example, refer to step S5 for "obtaining available bandwidth carrying capacity"), so as to obtain a non-local bandwidth value.
S3: the non-local corresponding regional address pool is automatically selected, for example, the addresses of the same type capable of bearing network services can be preferentially selected according to the principle that nodes of machine rooms with different bandwidth exits have priority and large bearing capacity has priority, if the machine rooms with the same bandwidth exits, such as IPv4 and IPv6, the single machine with the largest load is preferentially selected during selection, and then the address with the smallest address type is selected for scheduling.
S4: the dispatch system is reported in real time with the need to dispatch (i.e., generate a dispatch instruction) and the corresponding socket address.
Fig. 4 exemplarily shows a schematic flow chart of a cloud distribution network scheduling method according to the present invention.
As shown in a solid line box of fig. 1, the cloud distribution network scheduling method according to the present invention includes:
step S402: receiving an access request through a scheduling device, determining a target address type in the access request, generating a scheduling instruction for scheduling a hybrid address type server corresponding to the target address type to provide service,
wherein the target address types comprise an IPv4 address and an IPv6 address.
Optionally, as shown in a dashed line box of fig. 4, the cloud distribution network scheduling method according to the present invention further includes:
step S404: providing a service according to the scheduling instructions via the mixed address type server,
the mixed address type server comprises a first type server provided with a network card supporting an IPv4 address protocol, a second type server provided with a network card supporting an IPv6 address protocol, and a third type server provided with a network card supporting an IPv4 address protocol and a network card supporting an IPv6 address protocol or a network card supporting an IPv4 address protocol and an IPv6 address protocol.
Optionally, as shown in a dashed line box of fig. 4, the cloud distribution network scheduling method according to the present invention further includes:
step S406: the address information of the schedulable mixed address type server is obtained by the schedulable mixed address type server address information obtaining device and is provided for the scheduling device to use when the scheduling device makes scheduling decision,
wherein, the schedulable mixed address type server address information includes: IP address information of a first type of server that can be scheduled, IP address information of a second type of server that can be scheduled, and IP address information of a third type of server that can be scheduled.
Optionally, step S406 further comprises (not shown in fig. 4):
calculating available bandwidth carrying capacity when each mixed address type server and each machine room node receive access requests of IPv4 address and/or IPv6 address types in real time through a carrying capacity calculation module;
obtaining schedulable mixed address type server address information based on available bandwidth carrying capacity when each mixed address type server and each machine room node receive access requests of IPv4 address and/or IPv6 address type through an address pool association module,
wherein, the schedulable mixed address type server address information includes:
the address of the hybrid address type server with the maximum available bandwidth carrying capacity or the address of the hybrid address type server with the maximum available bandwidth carrying capacity in the machine room node with the maximum available bandwidth carrying capacity respectively corresponds to the access request of the IPv4 address and/or the IPv6 address type; or
Addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity respectively corresponding to access requests of IPv4 addresses and/or IPv6 address types or addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity in a plurality of machine room nodes with large available bandwidth carrying capacity.
Optionally, step S402 comprises (not shown in fig. 4):
generating a scheduling instruction based on schedulable hybrid address type server address information via a scheduling decision module,
wherein the scheduling instruction includes an address of the scheduled mixed address type server.
According to the technical scheme of the invention, the method has the following advantages:
1. the coexistence mode in the transition process from the IPv4 address to the IPv6 address is optimized. For example, the scheduling can be accurately performed for different types of IP addresses, so that the problem of bandwidth load overload scheduling of the whole server is avoided.
2. The problem of unreasonable bandwidth utilization in the coexistence process of the IPv4 address and the IPv6 address is solved, and manual operation (for example, manual operation without installing a virtual machine) is greatly reduced.
3. Integrating IPv4 and IPv6 scheduling through automated access scheduling and overload scheduling reduces adverse effects of coexistence issues on customers (e.g., without requiring changes to software used by the customers).
That is, according to the above technical solution of the present invention, through a way that IPv4 and IPv6 coexist more reasonably, service addresses of IPv4 and IPv6 are bound to one machine at the same time, and by accurately determining that a server and a machine room coexist under the conditions that IPv4 and IPv6, reasonable scheduling is performed, so that coexistence scheduling is more intelligent and efficient. According to the technical scheme of the invention, different accesses are scheduled differently, and the accesses to the network resources in the server or the machine room are scheduled accurately based on different types of IP addresses under the condition of reducing personnel investment.
The above-described aspects may be implemented individually or in various combinations, and such variations are within the scope of the present invention.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Finally, it should be noted that: the above examples are only for illustrating the technical solutions of the present invention, and are not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A cloud distribution network scheduling system, comprising:
the scheduling device is used for receiving the access request, determining a target address type in the access request, generating a scheduling instruction for scheduling a mixed address type server corresponding to the target address type to provide service,
wherein the target address types include an IPv4 address and an IPv6 address.
2. The cloud distribution network scheduling system of claim 1, further comprising:
the mixed address type server is used for providing services according to the scheduling instruction,
the mixed address type server comprises a first type server provided with a network card supporting an IPv4 address protocol, a second type server provided with a network card supporting an IPv6 address protocol, and a third type server provided with a network card supporting an IPv4 address protocol and a network card supporting an IPv6 address protocol or a network card supporting an IPv4 address protocol and an IPv6 address protocol.
3. The cloud distribution network scheduling system of claim 2, further comprising:
schedulable mixed address type server address information obtaining means for obtaining and providing schedulable mixed address type server address information to the scheduling means for use by the scheduling means in making scheduling decisions,
wherein the schedulable mixed address type server address information includes: IP address information of a first type of server that can be scheduled, IP address information of a second type of server that can be scheduled, and IP address information of a third type of server that can be scheduled.
4. The cloud distribution network scheduling system of claim 3, wherein the schedulable mixed address type server address information obtaining means comprises:
the load capacity calculation module is used for calculating the available bandwidth load capacity of each mixed address type server and each machine room node when receiving the access request of the IPv4 address and/or the IPv6 address type in real time;
an address pool association module, configured to obtain address information of the schedulable hybrid address type server based on the available bandwidth carrying capacity when each hybrid address type server and each room node receive an access request of an IPv4 address and/or an IPv6 address type,
wherein the schedulable mixed address type server address information includes:
the address of the hybrid address type server with the maximum available bandwidth carrying capacity or the address of the hybrid address type server with the maximum available bandwidth carrying capacity in the machine room node with the maximum available bandwidth carrying capacity respectively corresponds to the access request of the IPv4 address and/or the IPv6 address type; or
Addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity respectively corresponding to access requests of IPv4 addresses and/or IPv6 address types or addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity in a plurality of machine room nodes with large available bandwidth carrying capacity.
5. The cloud distribution network scheduling system of claim 4, wherein the scheduling means comprises:
a scheduling decision module for generating the scheduling instruction based on the schedulable mixed address type server address information,
wherein the scheduling instruction includes an address of the scheduled mixed address type server.
6. A cloud distribution network scheduling method is characterized by comprising the following steps:
receiving an access request through a scheduling device, determining a target address type in the access request, generating a scheduling instruction for scheduling a hybrid address type server corresponding to the target address type to provide service,
wherein the target address types include an IPv4 address and an IPv6 address.
7. The cloud distribution network scheduling method of claim 6, further comprising:
providing a service according to the scheduling instructions via the mixed address type server,
the mixed address type server comprises a first type server provided with a network card supporting an IPv4 address protocol, a second type server provided with a network card supporting an IPv6 address protocol, and a third type server provided with a network card supporting an IPv4 address protocol and a network card supporting an IPv6 address protocol or a network card supporting an IPv4 address protocol and an IPv6 address protocol.
8. The cloud distribution network scheduling method of claim 7, further comprising:
the address information of the schedulable mixed address type server is obtained by the schedulable mixed address type server address information obtaining device and is provided for the scheduling device to use when the scheduling device makes scheduling decision,
wherein the schedulable mixed address type server address information includes: IP address information of a first type of server that can be scheduled, IP address information of a second type of server that can be scheduled, and IP address information of a third type of server that can be scheduled.
9. The cloud distribution network scheduling method of claim 8, wherein the schedulable mixed address type server address information obtaining means obtains and provides schedulable mixed address type server address information to the scheduling means, and the scheduling means performs scheduling decisions using the steps further comprising:
calculating available bandwidth carrying capacity when each mixed address type server and each machine room node receive access requests of IPv4 address and/or IPv6 address types in real time through a carrying capacity calculation module;
obtaining the schedulable hybrid address type server address information based on the available bandwidth carrying capacity when each hybrid address type server and each room node receive access requests of IPv4 address and/or IPv6 address type through an address pool association module,
wherein the schedulable mixed address type server address information includes:
the address of the hybrid address type server with the maximum available bandwidth carrying capacity or the address of the hybrid address type server with the maximum available bandwidth carrying capacity in the machine room node with the maximum available bandwidth carrying capacity respectively corresponds to the access request of the IPv4 address and/or the IPv6 address type; or
Addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity respectively corresponding to access requests of IPv4 addresses and/or IPv6 address types or addresses of a plurality of mixed address type servers with large available bandwidth carrying capacity in a plurality of machine room nodes with large available bandwidth carrying capacity.
10. The cloud distribution network scheduling method of claim 9, wherein the scheduling device receives an access request for a hybrid address type server, determines a target address type in the access request, and generates a scheduling instruction for scheduling the hybrid address type server corresponding to the target address type to provide a service, includes:
generating, via a scheduling decision module, the scheduling instruction based on the schedulable hybrid address type server address information,
wherein the scheduling instruction includes an address of the scheduled mixed address type server.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810967689.3A CN110858849A (en) | 2018-08-23 | 2018-08-23 | Cloud distribution network scheduling system and method |
| CN202010090983.8A CN111343244B (en) | 2018-08-23 | 2018-08-23 | Cloud distribution network scheduling method and device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810967689.3A CN110858849A (en) | 2018-08-23 | 2018-08-23 | Cloud distribution network scheduling system and method |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010090983.8A Division CN111343244B (en) | 2018-08-23 | 2018-08-23 | Cloud distribution network scheduling method and device and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110858849A true CN110858849A (en) | 2020-03-03 |
Family
ID=69635203
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810967689.3A Pending CN110858849A (en) | 2018-08-23 | 2018-08-23 | Cloud distribution network scheduling system and method |
| CN202010090983.8A Active CN111343244B (en) | 2018-08-23 | 2018-08-23 | Cloud distribution network scheduling method and device and computer readable storage medium |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010090983.8A Active CN111343244B (en) | 2018-08-23 | 2018-08-23 | Cloud distribution network scheduling method and device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110858849A (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117112236B (en) * | 2023-10-23 | 2024-02-20 | 山东曙光照信息技术股份有限公司 | Jurisdictional server configuration method and system based on data inrush current and volatility prediction |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103747023A (en) * | 2011-12-31 | 2014-04-23 | 华茂云天科技(北京)有限公司 | Elastic network bandwidth service system |
| CN104935521A (en) * | 2014-03-18 | 2015-09-23 | 中国电信股份有限公司 | Global load balancing method and server for realizing hybrid scheduling |
| CN107465708A (en) * | 2016-06-02 | 2017-12-12 | 腾讯科技（深圳）有限公司 | A kind of CDN bandwidth scheduling systems and method |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100484083C (en) * | 2003-08-20 | 2009-04-29 | 华为技术有限公司 | Addressing converting method and mixed addressing converting router for realizing the same |
| CN101237410B (en) * | 2008-03-04 | 2011-08-24 | 中山大学 | A method for realizing communication of mobile node in IPv4/v6 mixed network |
| JP2010062757A (en) * | 2008-09-02 | 2010-03-18 | Panasonic Corp | Dns proxy apparatus and dns relay method |
| US9054943B2 (en) * | 2009-12-23 | 2015-06-09 | Citrix Systems, Inc. | Systems and methods for mixed mode handling of IPv6 and IPv4 traffic by a virtual server |
| WO2011079198A2 (en) * | 2009-12-23 | 2011-06-30 | Citrix Systems, Inc. | Systems and methods for mixed mode of ipv6 and ipv4 dns of global server load balancing |
| CN102255982A (en) * | 2011-07-21 | 2011-11-23 | 电子科技大学 | Internet protocol version 4 (IPv4)/IPv6 translation gateway and translation method |
| CN102726031A (en) * | 2011-07-22 | 2012-10-10 | 华为技术有限公司 | Content processing method, device and system |
| CN104104599B (en) * | 2013-04-10 | 2017-11-21 | 华耀(中国)科技有限公司 | System and method that are a kind of while supporting IPv4 and IPv6 active-standby switch |
| CN104394441B (en) * | 2014-11-27 | 2019-06-14 | 北京奇艺世纪科技有限公司 | A kind of dispatching method, the apparatus and system of video content distribution |
-
2018
- 2018-08-23 CN CN201810967689.3A patent/CN110858849A/en active Pending
- 2018-08-23 CN CN202010090983.8A patent/CN111343244B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103747023A (en) * | 2011-12-31 | 2014-04-23 | 华茂云天科技(北京)有限公司 | Elastic network bandwidth service system |
| CN104935521A (en) * | 2014-03-18 | 2015-09-23 | 中国电信股份有限公司 | Global load balancing method and server for realizing hybrid scheduling |
| CN107465708A (en) * | 2016-06-02 | 2017-12-12 | 腾讯科技（深圳）有限公司 | A kind of CDN bandwidth scheduling systems and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111343244B (en) | 2023-01-31 |
| CN111343244A (en) | 2020-06-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108293004B (en) | System and method for network slice management | |
| CN108965485B (en) | Container resource management method and device and cloud platform | |
| CN109547517B (en) | Method and device for scheduling bandwidth resources | |
| Chiha et al. | Network slicing cost allocation model | |
| CN112514325A (en) | System and method for link control plane virtual functions to ensure end-to-end quality of service (QOS) for internet services | |
| US20200412612A1 (en) | Analyzing and configuring workload distribution in slice-based networks to optimize network performance | |
| CN108512672B (en) | Service arranging method, service management method and device | |
| Globa et al. | Quality control for mobile communication management services in hybrid environment | |
| CN112202940B (en) | Pod service mode for external exposure of kubernets | |
| CN111245634B (en) | Virtualization management method and device | |
| CN113596863A (en) | Method, apparatus and medium for determining user plane function and providing information | |
| US10666742B2 (en) | Software defined network controller and network service allocating system and method | |
| CN111343244B (en) | Cloud distribution network scheduling method and device and computer readable storage medium | |
| CN117751567A (en) | Dynamic process distribution for utility communication networks | |
| CN114860425A (en) | Service cloud platform based on cloud resources | |
| WO2020024443A1 (en) | Resource scheduling method and apparatus, computer device and computer-readable storage medium | |
| CN111885606B (en) | Park communication network fusion control method, device and system | |
| CN112261125B (en) | Centralized unit cloud deployment method, device and system | |
| CN111447077B (en) | Network element configuration method, device and storage medium | |
| CN116170509A (en) | Calculation power scheduling method, calculation power scheduling device and storage medium | |
| CN115604229B (en) | Method and system for constructing flexible networking framework based on IPv6 characteristics | |
| CN110888734A (en) | Fog computing resource processing method and device, electronic equipment and storage medium | |
| CN115643299A (en) | Service deployment method and device and electronic equipment | |
| CN112583740B (en) | Network communication method and device | |
| CN115865930A (en) | MEC dynamic adjustment method based on 5G power Internet of things |
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 |