CN102916992A - Method and system for scheduling cloud computing remote resources unifiedly - Google Patents
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Abstract
The embodiment of the invention discloses a method and a system for scheduling cloud computing remote resources unifiedly. The method comprises the following steps: acquiring resource using information and business load information of a resource pool in each region through ROS (read-only storage) by a management and control center; and according to the resource using information and the business load information in each region, establishing a business processing region switching scheduling policy. According to the technical scheme of the embodiment of the invention, the management and control center unifiedly schedules the resources in various regions in a telecommunication business network, so that the problem that the existing telecommunication business network has a relatively low resource utilization ratio is solved.
Description
Technical Field
The embodiment of the invention relates to a cloud computing technology of telecommunication service, in particular to a method and a system for uniformly scheduling cloud computing remote resources.
Background
In the existing telecommunication system, a chimney type deployment mode is mostly adopted to deploy services, and a plurality of service nodes are constructed in different regions; the service nodes only provide services for the region range of the service nodes, and the utilization rate of service resources in the region range is low, so that a large amount of space is occupied, and a long construction period is needed.
Disclosure of Invention
In view of this, embodiments of the present invention mainly aim to provide a method and a system for uniformly scheduling cloud computing remote resources, so as to solve the problem of low resource utilization rate in the existing telecommunication service network.
In order to achieve the above purpose, the technical solution of the embodiment of the present invention is realized as follows:
the invention provides a method for uniformly scheduling cloud computing remote resources, which comprises the following steps:
the management and control center acquires resource use information and service load information of the resource pool of each region through the ROS, and makes a scheduling strategy for switching the service processing regions according to the resource use information and the service load information of each region.
In the above method, the method further comprises:
the management and control center informs the switched target service processing area of acquiring the version of the service, and a service system of the target service processing area constructs resources and starts the service according to the version of the service;
and the management and control center loads a scheduling strategy for switching the service processing areas.
In the above method, the acquiring, by the management and control center through the ROS, the resource usage information of the resource pool of each region is as follows:
the ROS of each region acquires resource use information of a resource pool of the region through an interface and/or a plug-in, and reports the resource use information to a scheduling center of a management and control center; or the scheduling center of the management and control center queries the resource use information of the resource pool of the corresponding region through each ROS.
In the above method, the resource pool includes computing resources, storage resources, network resources, and software resources; the storage resources comprise distributed file storage, distributed structured storage, distributed Cache (Cache) and a traditional magnetic array, the network resources comprise switches and routers, and the software resources comprise middleware and commercial software.
In the above method, the acquiring, by the management and control center through the ROS, the service load information of each area is:
the service system in each region collects service load information and reports the service load information to a scheduling center of a control center through a corresponding ROS; or, the scheduling center of the management and control center queries the service load information of the corresponding region through each ROS.
In the above method, the scheduling policy for setting the service processing area switching is as follows:
and the scheduling center of the control center automatically makes a resource scheduling strategy for switching the service processing areas according to the resource use information and the service load information of the resource pool reported by each area, and switches the service of the source service processing area to the target service processing area for processing.
In the above method, the management and control center notifies the switched target service processing area that the version of the service to be acquired is:
and after a scheduling center of the control center formulates a scheduling strategy for switching the service processing areas, the scheduling center informs a target service processing area to acquire the version of the service switched to the target service processing area.
In the above method, the service system in the target service processing area, according to the version of the service, constructing resources and starting the service is:
and after receiving the notification of the scheduling center, the service system of the target service processing area acquires the versions of all services processed by the area from the version center of the management and control center, constructs and starts the services and the resources provided for the services according to the acquired versions of the services, and reports the completed service and resource preparation conditions to the scheduling center through the corresponding ROS.
In the above method, the scheduling policy for switching the service processing region loaded by the control center is as follows:
a scheduling center of a management and control center sends a policy loading request to a global load balancing center of the management and control center after determining that a target service processing area is completely prepared according to the completed service and resource preparation conditions reported by a service system of the target service processing area; and after receiving the strategy loading request, the global load balancing center loads the formulated scheduling strategy switched by the service processing area.
The invention also provides a system for uniformly scheduling the cloud computing remote resources, which comprises the following steps: a management and control center and an ROS; wherein,
the management and control center is used for acquiring resource use information and service load information of the resource pool of each region through the ROS, and formulating a scheduling strategy for switching the service processing regions according to the resource use information and the service load information of each region.
In the above-mentioned system, the first and second sensors are arranged in a single circuit,
the system further comprises: a service system of a target service processing area;
the management and control center is further configured to notify the target service processing area of obtaining a version of the service;
the service system of the target service processing area is used for constructing resources and starting services according to the version of the services;
and the management and control center is also used for loading the scheduling strategy for switching the service processing areas.
According to the method and the system for uniformly scheduling the cloud computing remote resources, the management and control center obtains the resource use information and the service load information of the resource pool of each area through the ROS, the scheduling strategy for switching the service processing areas is formulated according to the resource use information and the service load information of each area, for the whole system, the management and control center performs uniform scheduling on the resources of each area, through dynamic resource allocation and scheduling, the resource utilization capacity and the service reliability are improved, the problem of low resource utilization rate in the existing telecommunication service network is solved, the service opening capacity is reduced, the operation and maintenance cost is reduced, and convenient user experience is provided.
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FIG. 1 is a flowchart illustrating a method for uniformly scheduling cloud computing remote resources according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the architecture of a management and control center, an ROS, a business system and a resource pool according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the architecture of the ROS and resource pool of an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a system for implementing unified scheduling of cloud computing remote resources according to an embodiment of the present invention.
Detailed Description
In a regional centralized construction mode under the guidance of a new cloud computing idea, the deployment of a telecommunication service network is thoroughly transformed into a mode of uniformly scheduling remote resources by taking a base as a control center, so that centralized management scheduling and distributed service are realized.
Based on the idea of cloud computing, the embodiment of the invention provides a method for uniformly scheduling cloud computing remote resources, and the basic idea is as follows: the management and control center acquires resource use information and service load information of the resource pool of each region through the ROS, and makes a scheduling strategy for switching the service processing regions according to the resource use information and the service load information of each region.
The embodiments of the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a schematic flowchart of a method for implementing unified scheduling of cloud computing remote resources according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step 101, the management and control center acquires resource use information of a resource pool of each region through the ROS;
specifically, for each service node, a cloud computing Resource management System (ROS) of the service node manages a Resource pool, and the service node is divided according to areas providing services in the embodiment of the present invention, such as an area a and an area B shown in fig. 2; the resource pool comprises computing resources, storage resources, network resources and software resources, wherein the computing resources are virtualized computing resources, the storage resources comprise distributed file storage, distributed structured storage, distributed Cache (Cache), a traditional magnetic array and the like, the network resources comprise a switch, a router and the like, and the software resources comprise middleware and commercial software;
as shown in fig. 3, the resource monitoring module of the ROS in each region obtains resource usage information of the resource pool in the region, such as CPU load, MEM occupancy, storage usage rate, and the like, through a computing resource interface, a storage resource interface, a network management plug-in, and a software management plug-in; the ROS in each region reports the resource use information of the corresponding resource pool to a scheduling center of the control center, or the scheduling center of the control center queries the resource use information of the resource pool in the corresponding region through each ROS; the reporting of the resource use information to the scheduling center by the ROS can be performed in an event-triggered manner or in a periodic manner, the scheduling center can perform periodic query or event-triggered manner query by querying the resource use information through each ROS, and the event-triggered manner can be configured according to requirements, for example, when the resource change rate in the resource pool exceeds a set threshold, the ROS reports the resource use information to the scheduling center;
here, in the embodiment of the present invention, the management and control center may correspond to one or more ROS and one or more areas, and one ROS corresponds to one area.
Step 102, the management and control center acquires service load information of each area through the ROS;
specifically, the service system in each region is responsible for collecting service load information and sending the service load information to the corresponding operation management module in the ROS, and the operation management module of the ROS reports the service load information to the scheduling center of the management and control center; or, the scheduling center of the management and control center queries the service load information of the corresponding region through the operation management module in each ROS, and the service load information may be obtained and stored from the service system by the operation management module of the ROS in advance, or may be obtained from the service system by the operation management module of the ROS when triggered by the scheduling center; the reporting of the service load information to the scheduling center by the service system through the ROS can be event-triggered reporting or periodic reporting, and the query of the scheduling center through each ROS for the service load information can be periodic query or event-triggered query.
103, the management and control center makes a scheduling strategy for switching the service processing areas according to the resource use information and the service load information of each area;
specifically, the scheduling center of the management and control center performs comprehensive consideration according to the resource usage information and the service load information of the resource pool reported by each area and by combining the past experience, automatically makes a resource scheduling strategy for switching a plurality of service processing areas, switches the service of the source service processing area with higher resource occupation to the target service processing area with lower resource occupation for processing, and can achieve the optimal configuration of resources and realize the intelligent scheduling of the whole system;
for example, the resource occupancy of the area a is high and the traffic load is heavy, while the resource occupancy of the area B is low and the traffic load is low, the scheduling policy made by the scheduling center is to switch part of the traffic processing from the area a to the area B, where one or more traffic or resources may be involved.
104, the management and control center informs the switched target service processing area of acquiring the version of the service;
specifically, after a scheduling center of the management and control center formulates a scheduling strategy for switching the service processing areas, the scheduling center notifies a target service processing area to acquire a version of a service switched to the target service processing area; for example, if the formulated scheduling policy is that one or more services are switched from the area a to the area B for processing, the scheduling center notifies the area B to acquire the same version of the one or more services as the area a;
the scheduling center of the management and control center needs to schedule resources and also needs to ensure that the services on the scheduled resources are continuously available on the target scheduling resources, so that the scheduling center needs to inform the target service processing area to acquire the version of the scheduled services, which is the same as that of the area A; the service can be a Wireless Application Protocol (WAP), multimedia message, and the like; service applications and environments of the services on the virtual resources are packaged into image files, and the image files are versions of the services; the target service processing area can acquire the mirror image file which is consistent with the service on the source service processing area, and a basis is provided for the service continuation service on the target service processing area; and the version center of the management and control center is responsible for uniformly and intensively storing and managing the image files, and the image files have differences according to different service and virtual resource environments.
105, a service system of a target service processing area acquires a service version, and constructs resources and starts a service according to the service version;
specifically, after receiving the notification from the scheduling center, the service system in the target service processing area acquires the version of all services switched to the local area for processing from the version center of the management and control center, so that when the resources of the target service processing area are started and the resources of the source service processing area are abandoned, the resources of the target service processing area can bear the services, and the service capability of the services is ensured to be uninterrupted;
and the service system of the target service processing area constructs and starts the service and the resources provided for the service in the step 103 according to the acquired version of the service, and reports the completed service and resource preparation conditions to the dispatching center through the corresponding ROS.
Step 106, loading a scheduling strategy switched by the service processing area by the management and control center to complete scheduling;
specifically, a scheduling center of the management and control center sends a policy loading request to a global load balancing center of the management and control center after determining that the service system of the target service processing area is completely prepared according to the completed service and resource preparation conditions reported by the service system of the target service processing area; for example, a request is made to dispatch the service to be switched from area a to area B, which provides service;
after receiving the policy loading request, the global load balancing center loads the scheduling policy for switching the service processing regions, which is formulated in step 103, and after successful loading, the service of the service is dispatched from region a to region B through the global load balancing center.
As shown in fig. 3, the ROS in the embodiment of the present invention further includes: the deployment scheduling module is responsible for computing resource migration, backup recovery, Physical to virtual (P2V, Physical to virtual) and the like, backup of storage resources, scheduling policy management and the like; the resource management module is responsible for generation, deletion, suspension, recovery and the like of various resources; the operation management module is responsible for providing an interface with an operation management platform and realizing operation functions, such as product template management, product resource distribution and recovery, product use metering and the like; the system management module is responsible for security management, remote disaster recovery management, user/role/authority management, account management, a network management interface, a Simple Access Object Protocol (SOAP)/Representational State Transfer (REST) interface and the like; in addition, the ROS provides interfaces for presentation of management functions, including management portals and user portals.
In the embodiment of the invention, the idea of a control center is provided, and for the whole system, the control center uniformly controls and schedules the resources of the whole system; the resource pools of all the areas are subjected to virtualization transformation and then are scheduled by the control center; each service system operates through a centralized control model on the aspect of resource scheduling and a distributed management model on the aspect of operation and maintenance management; the whole system is uniformly subjected to resource scheduling by a control center; infrastructure is provided as service through a technical means, resources are abstractly integrated through a virtualization technology, and service capacity is enhanced; the resource utilization capacity and the service reliability are improved through dynamic resource allocation and scheduling; the automatic service opening capability is provided, the operation and maintenance cost is reduced, and convenient user experience is provided; more security mechanisms and reliability mechanisms are provided, and the security standard of enterprise-level application is met.
In the above embodiment of the present invention, the service system of the area is logically divided into four layers: a physical layer, a virtual layer, a management layer and a service layer; mainly comprises five parts: the system comprises a virtual resource pool, a virtual management platform, an operation management system, a portal and a cloud terminal;
the physical layer mainly comprises the existing physical hardware equipment, the subsequent capacity-expansion physical hardware equipment, middleware and commercial software; the virtual layer mainly comprises server virtualization and storage virtualization, and forms a physical computing resource pool and a storage resource pool through corresponding virtualization technologies so as to facilitate the scheduling and management of the management layer; the management layer mainly comprises a virtual computing management platform for managing server virtualization, a virtual storage management platform for managing storage virtualization and a system operation management platform; the service layer mainly comprises portal platforms aiming at different services, and corresponding 3G terminals, thin clients and other clients.
In the scheduling strategy, the service system provides a resource deployment decision, collects relevant information, automatically selects resources required by a service instance and starts a corresponding deployment process according to a predefined strategy of a cloud administrator, and meanwhile, allows management personnel to manually intervene in deployment.
The scheduling engine is used as an operation and control center of business process management and is responsible for allocating tasks to executors, determining next-step tasks according to return results of task execution, controlling and coordinating execution of various complex workflows and synchronizing reactions of various clients; management and monitoring of the process are also needed, including management functions (enabling, disabling, discarding, etc.) of the deployed business process, flow tracking of the process, and the like.
The resource pool can support the dynamic increase and decrease of resources, and comprises two modes, namely, the increase and decrease adjustment of the resources (such as a CPU and a memory) of the virtual machine; and secondly, the user applies for the increase and decrease adjustment of the resource quantity, and can bind the resource used by a certain virtual machine with the physical actual resource. The resource use priority is used as an important mechanism for realizing the quantitative management and the in-process control of the cloud environment, the index of the priority can be flexibly configured, and a control point and a related management threshold value can be flexibly set; the resource scheduling of the virtual server itself, or the migration of the virtual server between different physical servers, may be performed manually by an administrator, or may be performed automatically according to a preset policy.
In order to implement the foregoing method, an embodiment of the present invention further provides a system for uniformly scheduling cloud computing remote resources, where fig. 4 is a schematic structural diagram of the system for uniformly scheduling cloud computing remote resources according to the embodiment of the present invention, and as shown in fig. 4, the system includes: a management and control center 41 and an ROS 42; wherein,
the management and control center 41 is configured to acquire resource usage information and service load information of the resource pool of each region through the ROS 42, and make a scheduling policy for switching between service processing regions according to the resource usage information and the service load information of each region.
The system further comprises: a service system 43 of a destination service processing area;
the management and control center 41 is further configured to notify the target service processing area 43 of obtaining a version of the service;
the service system 43 of the target service processing area is used for constructing resources and starting services according to the version of the services;
the management and control center 41 is further configured to load a scheduling policy for switching the service processing areas.
The management and control center 41 obtains the resource usage information of the resource pool of each region through the ROS 42 as follows: the ROS of each region acquires resource use information of a resource pool of the region through an interface and/or a plug-in, and reports the resource use information to a scheduling center of a management and control center; or the scheduling center of the management and control center queries the resource use information of the resource pool of the corresponding region through each ROS.
The management and control center 41 acquires the service load information of each area through the ROS 42 as follows: the service system in each region collects service load information and reports the service load information to a scheduling center of a control center through a corresponding ROS; or, the scheduling center of the management and control center queries the service load information of the corresponding region through each ROS.
The scheduling strategy for making the service processing area switching is as follows: and the scheduling center of the control center automatically makes a resource scheduling strategy for switching the service processing areas according to the resource use information and the service load information of the resource pool reported by each area, and switches the service of the source service processing area to the target service processing area for processing.
The management and control center 41 notifies the switched target service processing area that the version of the acquired service is: and after a scheduling center of the control center formulates a scheduling strategy for switching the service processing areas, the scheduling center informs a target service processing area to acquire the version of the service switched to the target service processing area.
The service system 43 in the target service processing area, according to the version of the service, constructs resources and starts the service as follows: and after receiving the notification of the scheduling center, the service system of the target service processing area acquires the versions of all services processed by the area from the version center of the management and control center, constructs and starts the services and the resources provided for the services according to the acquired versions of the services, and reports the completed service and resource preparation conditions to the scheduling center through the corresponding ROS.
The scheduling policy for the management and control center 41 to load the service processing area switching is as follows: a scheduling center of a management and control center sends a policy loading request to a global load balancing center of the management and control center after determining that a target service processing area is completely prepared according to the completed service and resource preparation conditions reported by a service system of the target service processing area; and after receiving the strategy loading request, the global load balancing center loads the formulated scheduling strategy switched by the service processing area.
The above description is only exemplary of the embodiments of the present invention, and should not be taken as limiting the scope of the embodiments of the present invention, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the embodiments of the present invention should be included in the scope of the embodiments of the present invention.
Claims (11)
1. A method for uniformly scheduling cloud computing remote resources is characterized by comprising the following steps:
the management and control center acquires resource use information and service load information of the resource pool of each region through the ROS, and makes a scheduling strategy for switching the service processing regions according to the resource use information and the service load information of each region.
2. The method of claim 1, further comprising:
the management and control center informs the switched target service processing area of acquiring the version of the service, and a service system of the target service processing area constructs resources and starts the service according to the version of the service;
and the management and control center loads a scheduling strategy for switching the service processing areas.
3. The method according to claim 1, wherein the management and control center obtains the resource usage information of the resource pool of each region through the ROS as follows:
the ROS of each region acquires resource use information of a resource pool of the region through an interface and/or a plug-in, and reports the resource use information to a scheduling center of a management and control center; or the scheduling center of the management and control center queries the resource use information of the resource pool of the corresponding region through each ROS.
4. The method of claim 1 or 3, wherein the resource pool comprises computing resources, storage resources, network resources, software resources; the storage resources comprise distributed file storage, distributed structured storage, distributed Cache (Cache) and a traditional magnetic array, the network resources comprise switches and routers, and the software resources comprise middleware and commercial software.
5. The method according to claim 1, wherein the acquiring, by the management and control center through the ROS, the traffic load information of each area is as follows:
the service system in each region collects service load information and reports the service load information to a scheduling center of a control center through a corresponding ROS; or, the scheduling center of the management and control center queries the service load information of the corresponding region through each ROS.
6. The method of claim 1, wherein the scheduling policy for scheduling service handling area handover is:
and the scheduling center of the control center automatically makes a resource scheduling strategy for switching the service processing areas according to the resource use information and the service load information of the resource pool reported by each area, and switches the service of the source service processing area to the target service processing area for processing.
7. The method according to claim 2, wherein the management and control center notifies the switched destination service processing area to acquire the version of the service as follows:
and after a scheduling center of the control center formulates a scheduling strategy for switching the service processing areas, the scheduling center informs a target service processing area to acquire the version of the service switched to the target service processing area.
8. The method of claim 2, wherein the service system of the destination service processing area building resources and starting services according to the version of the services is:
and after receiving the notification of the scheduling center, the service system of the target service processing area acquires the versions of all services processed by the area from the version center of the management and control center, constructs and starts the services and the resources provided for the services according to the acquired versions of the services, and reports the completed service and resource preparation conditions to the scheduling center through the corresponding ROS.
9. The method according to claim 2, wherein the scheduling policy for the management and control center to load the service processing area switching is:
a scheduling center of a management and control center sends a policy loading request to a global load balancing center of the management and control center after determining that a target service processing area is completely prepared according to the completed service and resource preparation conditions reported by a service system of the target service processing area; and after receiving the strategy loading request, the global load balancing center loads the formulated scheduling strategy switched by the service processing area.
10. A system for uniformly scheduling cloud computing remote resources, the system comprising: a management and control center and an ROS; wherein,
the management and control center is used for acquiring resource use information and service load information of the resource pool of each region through the ROS, and formulating a scheduling strategy for switching the service processing regions according to the resource use information and the service load information of each region.
11. The system of claim 10,
the system further comprises: a service system of a target service processing area;
the management and control center is further configured to notify the target service processing area of obtaining a version of the service;
the service system of the target service processing area is used for constructing resources and starting services according to the version of the services;
and the management and control center is also used for loading the scheduling strategy for switching the service processing areas.
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| CN101753617A (en) * | 2009-12-11 | 2010-06-23 | 中兴通讯股份有限公司 | Cloud storage system and method |
| CN102014159A (en) * | 2010-11-29 | 2011-04-13 | 华中科技大学 | Layered resource reservation system under cloud computing environment |
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| CN106533987A (en) * | 2016-11-15 | 2017-03-22 | 郑州云海信息技术有限公司 | Intelligent switching method and system of NFV acceleration resources and universal computing resources |
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| CN108255539A (en) * | 2017-12-21 | 2018-07-06 | 华风象辑（北京）气象科技有限公司 | Weather satellite data processing system based on cloud computing and data virtualization |
| CN108255539B (en) * | 2017-12-21 | 2021-03-12 | 华风象辑（北京）气象科技有限公司 | Meteorological satellite data processing system based on cloud computing and data virtualization |
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| CN109271256A (en) * | 2018-09-27 | 2019-01-25 | 浪潮软件股份有限公司 | A kind of cloud resource management and monitoring system and method based on distributed deployment |
| CN109544727A (en) * | 2018-12-12 | 2019-03-29 | 中南林业科技大学 | A kind of cloud computing vehicle trouble statistical analysis technique |
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| Publication number | Publication date |
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| CN102916992B (en) | 2016-12-28 |
| WO2013016977A1 (en) | 2013-02-07 |
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