WO2018027449A1 - Private cloud management platform - Google Patents

Private cloud management platform Download PDF

Info

Publication number
WO2018027449A1
WO2018027449A1 PCT/CN2016/093885 CN2016093885W WO2018027449A1 WO 2018027449 A1 WO2018027449 A1 WO 2018027449A1 CN 2016093885 W CN2016093885 W CN 2016093885W WO 2018027449 A1 WO2018027449 A1 WO 2018027449A1
Authority
WO
WIPO (PCT)
Prior art keywords
cloud
platform
resources
computing
network
Prior art date
Application number
PCT/CN2016/093885
Other languages
French (fr)
Chinese (zh)
Inventor
阮剑
李林
Original Assignee
深圳秦云网科技有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 深圳秦云网科技有限公司 filed Critical 深圳秦云网科技有限公司
Priority to PCT/CN2016/093885 priority Critical patent/WO2018027449A1/en
Priority to CN201680001081.4A priority patent/CN108028850B/en
Publication of WO2018027449A1 publication Critical patent/WO2018027449A1/en

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/50Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate

Definitions

  • the present invention relates to the field of computer technologies, and in particular, to a private cloud management platform.
  • virtual cloud systems are generated through cloud computing virtualization technology.
  • the virtual cloud system aims to solve the demand for increasing data calculations by enterprises and institutions, improve the efficiency of data operations, and thus improve the effectiveness and accuracy of services.
  • the existing virtual cloud system has defects such as complicated IT infrastructure, low server utilization efficiency, high energy consumption, poor versatility of the application system, easy system failure, and data loss.
  • the main object of the present invention is to provide a private cloud management platform designed to simplify the network architecture, improve server utilization, and reduce power consumption.
  • a technical solution adopted by the present invention is to provide a private cloud management platform, where the private cloud management platform includes a physical machine cloud system platform and a cloud platform framework connected to the physical machine cloud system platform. And a host control platform connected to the cloud platform framework;
  • a virtual resource pool is allocated in the framework of the cloud platform, where the virtual resource pool includes a computing resource area in which computing resources are set, a storage resource area in which storage resources are set, and a network resource area in which network resources are set.
  • the physical machine cloud system platform is configured to dynamically allocate computing resources in a computing resource area, storage resources in a storage resource area, and network resources in a network resource area according to application requirements of the application system;
  • the host control platform is configured to perform adjustment of computing resources, storage resources, and network resources on the cloud host according to actual requirements.
  • the physical machine cloud system platform includes a physical machine control system, a cloud computing physical network cloud platform, and a cloud computing service platform, wherein the physical machine control system is configured to control normal working of each physical machine, and the cloud computing physics
  • the network cloud platform is configured to provide a resource service interface/protocol for each physical machine, and the cloud computing service platform is configured to dynamically allocate computing resources in the computing resource area and the storage resource area according to application requirements of the application system running by the physical machine. Storage resources and network resources in the network resource area.
  • the private cloud management platform further includes a host online store connected to the physical machine cloud system platform for collecting statistics on utilization resources, storage resources, and network resources.
  • the host online store further includes a weighting unit configured to coefficient weight the statistical computing resources, the storage resources, and the utilization of the network resources to form different resource allocation levels.
  • the cloud management platform is further configured to perform hierarchical management of the invoked computing resources, the storage resources, and the network resources according to the resource allocation level.
  • the host control platform is further configured to generate a report according to a usage status of the cloud host.
  • the host control platform is further configured to monitor a usage status of the cloud host.
  • the technical solution of the present invention mainly includes a physical machine cloud system platform, a cloud platform framework connected to the physical machine cloud system platform, and a host control platform connected to the cloud platform framework, which is allocated in the cloud platform framework in the solution.
  • a virtual resource pool where the virtual resource pool includes a computing resource area configured with computing resources, a storage resource area configured with storage resources, and a network resource area configured with network resources;
  • the physical machine cloud system platform can be based on the application system
  • the application requirements dynamically allocate computing resources in the computing resource area, storage resources in the storage resource area, and network resources in the network resource area;
  • the host control platform can perform computing resources, storage resources, and network resources on the cloud host according to actual requirements.
  • the cloud platform framework of the technology of the present invention replaces redundant IT equipment (such as a database server, a document exchange server, etc.) with a virtual resource pool, by computing power and storage capacity of the IT equipment.
  • the communication capability is realized by packaging into the virtual resource pool to realize the original IT equipment.
  • Standby function, IT architecture can be simplified to improve server utilization efficiency, reduce energy consumption.
  • FIG. 1 is a block diagram of a module of an embodiment of a private cloud management platform of the present invention
  • FIG. 2 is a block diagram of a data interaction module of the resource pool and each application system in FIG. 1;
  • FIG. 3 is a block diagram of a module of another embodiment of a private cloud management platform of the present invention.
  • FIG. 4 is a block diagram of a module of a physical machine cloud system platform of the present invention.
  • first, second and the like in the present invention are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. It is also within the scope of protection required by the present invention.
  • the private cloud management platform includes a physical cloud computing system platform 10, a cloud platform framework 20 connected to the physical cloud computing system platform 10, and the a host control platform 30 connected to the cloud platform framework 20;
  • a virtual resource pool 21 is allocated in the cloud platform framework 20, and the virtual resource pool 21 includes a computing resource area 211 provided with computing resources, a storage resource area 212 provided with storage resources, and a network resource area 213 provided with network resources. ;
  • the physical machine cloud system platform 10 is configured to dynamically allocate computing resources in the computing resource area 211, storage resources in the storage resource area 212, and network resources in the network resource area 213 according to application requirements of the application system;
  • the host control platform 30 is configured to perform adjustment of computing resources, storage resources, and network resources on the cloud host according to actual requirements.
  • a virtual resource pool 21 is allocated in the cloud platform framework 20, and the virtual resource pool 21 can be used to optimize up to 18 functions, namely, intelligent memory multiplexing, storage thin provisioning, CPU energy saving management, and DPM ( Distributed Power Management), DRS (Dynamic Resource Scheduling), Compute HA, Storage QOS, Cloud Host Memory Snapshot, Cloud Host Memory Snapshot and Clone, Cloud Host Hot Migration, SR-IOV, VLAN Isolation, Security Group, Security Hardening, Firewall , cloud host image management, built-in DDOS attack defense.
  • DPM Distributed Power Management
  • DRS Dynamic Resource Scheduling
  • Compute HA Storage QOS
  • Cloud Host Memory Snapshot Cloud Host Memory Snapshot and Clone
  • Cloud Host Hot Migration SR-IOV, VLAN Isolation, Security Group, Security Hardening, Firewall , cloud host image management, built-in DDOS attack defense.
  • the physical machine cloud system platform 10 implements dynamic allocation of computing resources, storage resources, and network resources, reduces maintenance workload, improves resource utilization, and achieves rapid deployment of service targets.
  • the host control platform 30 can adjust the size space or the priority order of the resources in the computing resource area 211, the storage resource area 212, and the network resource area 213 according to actual requirements.
  • the technical solution of the present invention mainly includes a physical machine cloud system platform 10, a cloud platform framework 20 connected to the physical machine cloud system platform 10, and a host control platform 30 connected to the cloud platform framework 20.
  • a virtual resource pool 21 is disposed in the cloud platform framework 20, and the virtual resource pool 21 includes a computing resource area 211 provided with computing resources, a storage resource area 212 provided with storage resources, and a network resource area 213 provided with network resources;
  • the cloud computing system platform 10 can dynamically allocate the computing resources in the computing resource area 211, the storage resources in the storage resource area 212, and the network resources in the network resource area 213 according to the application requirements of the application system;
  • the host control platform 30 can According to the actual requirements, the cloud host is adjusted with the computing resources, the storage resources, and the network resources.
  • the cloud platform framework 20 of the present technology replaces the redundant IT devices (such as the database with the virtual resource pool 21).
  • Server, document exchange server, etc. by packing the computing power, storage capacity, and communication capabilities of IT equipment into
  • the virtual resource pool 21 implements the functions of the original IT device, which simplifies the IT architecture, improves server utilization efficiency, and reduces power consumption.
  • the physical machine cloud system platform 10 includes a physical machine control system 11, a cloud computing physical network cloud platform 12, and a cloud computing service platform 13, the physical The machine control system 11 is configured to control the normal operation of each physical machine.
  • the cloud computing physical network cloud platform 12 is configured to provide a resource service interface/protocol for each physical machine, and the cloud computing service platform 13 is configured to operate according to a physical machine.
  • the application requirements of the application system dynamically allocate computing resources in the computing resource area 211, storage resources in the storage resource area 212, and network resources in the network resource area 213.
  • the physical machine control system 11 can control each physical machine to run a corresponding application system.
  • the cloud computing physical network cloudization platform 12 can provide a service interface/protocol for calling each resource for the application system in each physical machine.
  • the cloud computing service platform 13 can dynamically allocate resources according to the requirements of the application system. Thus, the functions of the IT device can be replaced, thereby improving the utilization of resources.
  • the private cloud management platform further includes a host online store 40 connected to the physical cloud system platform 10 for computing resources, storage resources, and network resources. Utilization is counted.
  • the host online store 40 may perform statistics on the utilization rate of each resource in order to budget the required resources. In the actual process, according to the utilization rate of resources, the internal information currency can be used for statistics to provide real and effective decision data for information resources input.
  • the host online store 40 further includes a weighting unit configured to coefficient weight the statistical computing resources, the storage resources, and the utilization of the network resources to form different resource allocation levels. Considering the size of the utilization of each resource and the priority order of invoking each resource, in this embodiment, each utilization rate may be weighted, and threshold values of each level are set in the obtained weights to form different Resource allocation level.
  • the cloud management platform is further configured to perform hierarchical management of the invoked computing resources, the storage resources, and the network resources according to the resource allocation level. Considering that the utilization ratios of the computing resources, the storage resources, and the network resources are different in each application system, the priority setting may be performed when the resources are invoked, so that the management of the network resource calls can be facilitated, and the resource calling efficiency is improved.
  • the host control platform 30 is further configured to generate a report according to a usage status of the cloud host.
  • the host control platform 30 can generate a report according to the usage state of the cloud host, so that the maintenance personnel can view the fault and facilitate the fault detection.
  • the host control platform 30 is further configured to monitor the usage status of the cloud host.
  • the host control platform 30 can monitor the usage status of the cloud host, so that the cloud host can be operated normally and the reliability of the resource call is improved.
  • the host control platform 30 can perform functions such as creating, powering on, powering off, restarting, deleting, and migrating the cloud host in addition to the above functions.

Landscapes

  • Stored Programmes (AREA)
  • Computer And Data Communications (AREA)

Abstract

Disclosed is a private cloud management platform, comprising a physical machine cloud system platform, a cloud platform framework connected to the physical machine cloud system platform, and a host control platform connected to the cloud platform framework. A virtual resource pool is distributed in the cloud platform framework, the virtual resource pool comprising a computing resource area provided with computing resources, a storage resource area provided with storage resources, and a network resource area provided with network resources. The physical machine cloud system platform is used for dynamically distributing the computing resources in the computing resource area, the storage resources in the storage resource area, and the network resources in the network resource area according to application requirements of an application system. The host control platform is used for adjusting computing resources, storage resources, and network resources on a cloud host according to actual requirements. The technical solution of the present invention can simplify the network architecture, improve the utilization rate of a server, and reduce energy consumption.

Description

私有云管理平台  Private cloud management platform
技术领域Technical field
本发明涉及一种计算机技术领域,尤其涉及一种私有云管理平台。The present invention relates to the field of computer technologies, and in particular, to a private cloud management platform.
背景技术Background technique
随着IT行业水平的不断提升,越来越多的管理平台提出对计算资源的动态伸缩、满足业务应用和用户规模的增长需要,于是通过云计算虚拟化技术产生了虚拟云系统。虚拟云系统旨在解决企事业机关单位对于逐渐加大的数据计算量的需求,提升数据运算的效率,进而能够提升服务的有效性和准确率。目前,现有的虚拟云系统存在着IT基础架构繁复、服务器利用效率不高、能源消耗大、应用系统的通用性不好、系统容易出现故障且会造成数据流失等缺陷。With the continuous improvement of the IT industry level, more and more management platforms propose the dynamic expansion of computing resources to meet the growth needs of business applications and user scales. Therefore, virtual cloud systems are generated through cloud computing virtualization technology. The virtual cloud system aims to solve the demand for increasing data calculations by enterprises and institutions, improve the efficiency of data operations, and thus improve the effectiveness and accuracy of services. At present, the existing virtual cloud system has defects such as complicated IT infrastructure, low server utilization efficiency, high energy consumption, poor versatility of the application system, easy system failure, and data loss.
发明内容Summary of the invention
本发明的主要目的是提供一种私有云管理平台,旨在简化网络架构、提高服务器的利用率以及降低能耗。The main object of the present invention is to provide a private cloud management platform designed to simplify the network architecture, improve server utilization, and reduce power consumption.
为实现上述目的,本发明采用的一个技术方案为:提供一种私有云管理平台,所述私有云管理平台包括物理机云化系统平台、与所述物理机云化系统平台连接的云平台框架以及与所述云平台框架连接的主机控制平台;To achieve the above objective, a technical solution adopted by the present invention is to provide a private cloud management platform, where the private cloud management platform includes a physical machine cloud system platform and a cloud platform framework connected to the physical machine cloud system platform. And a host control platform connected to the cloud platform framework;
所述云平台框架内分配有虚拟资源池,所述虚拟资源池包括设置有计算资源的计算资源区、设置有存储资源的存储资源区以及设置有网络资源的网络资源区;A virtual resource pool is allocated in the framework of the cloud platform, where the virtual resource pool includes a computing resource area in which computing resources are set, a storage resource area in which storage resources are set, and a network resource area in which network resources are set.
所述物理机云化系统平台,用于根据应用系统的应用需求动态地分配计算资源区内的计算资源、存储资源区内的存储资源以及网络资源区的网络资源;The physical machine cloud system platform is configured to dynamically allocate computing resources in a computing resource area, storage resources in a storage resource area, and network resources in a network resource area according to application requirements of the application system;
所述主机控制平台,用于根据实际的要求对云主机进行计算资源、存储资源以及网络资源的调整。The host control platform is configured to perform adjustment of computing resources, storage resources, and network resources on the cloud host according to actual requirements.
优选地,所述物理机云化系统平台包括物理机控制系统、云计算物理网络云化平台以及云计算服务平台,所述物理机控制系统用于控制各物理机正常工作,所述云计算物理网络云化平台用于为各物理机提供资源服务接口/协议,所述云计算服务平台用于根据物理机运行的应用系统的应用需求动态地分配计算资源区内的计算资源、存储资源区内的存储资源以及网络资源区的网络资源。Preferably, the physical machine cloud system platform includes a physical machine control system, a cloud computing physical network cloud platform, and a cloud computing service platform, wherein the physical machine control system is configured to control normal working of each physical machine, and the cloud computing physics The network cloud platform is configured to provide a resource service interface/protocol for each physical machine, and the cloud computing service platform is configured to dynamically allocate computing resources in the computing resource area and the storage resource area according to application requirements of the application system running by the physical machine. Storage resources and network resources in the network resource area.
优选地,所述私有云管理平台还包括与所述物理机云化系统平台连接的主机在线商店,用于对计算资源、存储资源以及网络资源的利用率进行统计。Preferably, the private cloud management platform further includes a host online store connected to the physical machine cloud system platform for collecting statistics on utilization resources, storage resources, and network resources.
优选地,所述主机在线商店还包括加权单元,所述加权单元用于对统计的计算资源、存储资源以及网络资源的利用率进行系数加权,以形成不同的资源分配等级。Preferably, the host online store further includes a weighting unit configured to coefficient weight the statistical computing resources, the storage resources, and the utilization of the network resources to form different resource allocation levels.
优选地,所述云管理平台还用于根据资源分配等级对调用的计算资源、存储资源以及网络资源进行优选级调用的分级管理。Preferably, the cloud management platform is further configured to perform hierarchical management of the invoked computing resources, the storage resources, and the network resources according to the resource allocation level.
优选地,所述主机控制平台还用于根据云主机的使用状态生成报表。Preferably, the host control platform is further configured to generate a report according to a usage status of the cloud host.
优选地,所述主机控制平台还用于对云主机的使用状态进行监控。Preferably, the host control platform is further configured to monitor a usage status of the cloud host.
本发明的技术方案主要包括物理机云化系统平台、与所述物理机云化系统平台连接的云平台框架以及与所述云平台框架连接的主机控制平台,本方案中在云平台框架内分配有虚拟资源池,该虚拟资源池包括设置有计算资源的计算资源区、设置有存储资源的存储资源区以及设置有网络资源的网络资源区;该物理机云化系统平台,可以根据应用系统的应用需求动态地分配计算资源区内的计算资源、存储资源区内的存储资源以及网络资源区的网络资源;该主机控制平台,可以根据实际的要求对云主机进行计算资源、存储资源以及网络资源的调整,相比于现有技术,本发明的技术的云平台框架中以虚拟资源池代替冗余的IT设备(如数据库服务器、公文交换服务器等),通过将IT设备的计算能力、存储能力、通信能力通过打包进虚拟资源池中来实现原IT设备所具备的功能,能够简化IT架构、提升服务器利用效率、降低能耗。The technical solution of the present invention mainly includes a physical machine cloud system platform, a cloud platform framework connected to the physical machine cloud system platform, and a host control platform connected to the cloud platform framework, which is allocated in the cloud platform framework in the solution. There is a virtual resource pool, where the virtual resource pool includes a computing resource area configured with computing resources, a storage resource area configured with storage resources, and a network resource area configured with network resources; the physical machine cloud system platform can be based on the application system The application requirements dynamically allocate computing resources in the computing resource area, storage resources in the storage resource area, and network resources in the network resource area; the host control platform can perform computing resources, storage resources, and network resources on the cloud host according to actual requirements. Compared with the prior art, the cloud platform framework of the technology of the present invention replaces redundant IT equipment (such as a database server, a document exchange server, etc.) with a virtual resource pool, by computing power and storage capacity of the IT equipment. The communication capability is realized by packaging into the virtual resource pool to realize the original IT equipment. Standby function, IT architecture can be simplified to improve server utilization efficiency, reduce energy consumption.
附图说明DRAWINGS
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图示出的结构获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and those skilled in the art can obtain other drawings according to the structures shown in the drawings without any creative work.
图1为本发明私有云管理平台一实施例的模块方框图;1 is a block diagram of a module of an embodiment of a private cloud management platform of the present invention;
图2为图1中资源池与各应用系统的数据交互模块方框图;2 is a block diagram of a data interaction module of the resource pool and each application system in FIG. 1;
图3为本发明私有云管理平台另一实施例的模块方框图;3 is a block diagram of a module of another embodiment of a private cloud management platform of the present invention;
图4为本发明物理机云化系统平台的模块方框图。4 is a block diagram of a module of a physical machine cloud system platform of the present invention.
本发明目的的实现、功能特点及优点将结合实施例,参照附图做进一步说明。The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.
具体实施方式detailed description
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明的一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
需要说明,本发明中涉及“第一”、“第二”等的描述仅用于描述目的,而不能理解为指示或暗示其相对重要性或者隐含指明所指示的技术特征的数量。由此,限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。另外,各个实施例之间的技术方案可以相互结合,但是必须是以本领域普通技术人员能够实现为基础,当技术方案的结合出现相互矛盾或无法实现时应当认为这种技术方案的结合不存在,也不在本发明要求的保护范围之内。It is to be noted that the descriptions of the "first", "second" and the like in the present invention are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" or "second" may include at least one of the features, either explicitly or implicitly. In addition, the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. It is also within the scope of protection required by the present invention.
请参照图1及图2,在本发明实施例中,该私有云管理平台,包括物理机云化系统平台10、与所述物理机云化系统平台10连接的云平台框架20以及与所述云平台框架20连接的主机控制平台30;Referring to FIG. 1 and FIG. 2, in the embodiment of the present invention, the private cloud management platform includes a physical cloud computing system platform 10, a cloud platform framework 20 connected to the physical cloud computing system platform 10, and the a host control platform 30 connected to the cloud platform framework 20;
所述云平台框架20内分配有虚拟资源池21,所述虚拟资源池21包括设置有计算资源的计算资源区211、设置有存储资源的存储资源区212以及设置有网络资源的网络资源区213;A virtual resource pool 21 is allocated in the cloud platform framework 20, and the virtual resource pool 21 includes a computing resource area 211 provided with computing resources, a storage resource area 212 provided with storage resources, and a network resource area 213 provided with network resources. ;
所述物理机云化系统平台10,用于根据应用系统的应用需求动态地分配计算资源区211内的计算资源、存储资源区212内的存储资源以及网络资源区213的网络资源;The physical machine cloud system platform 10 is configured to dynamically allocate computing resources in the computing resource area 211, storage resources in the storage resource area 212, and network resources in the network resource area 213 according to application requirements of the application system;
所述主机控制平台30,用于根据实际的要求对云主机进行计算资源、存储资源以及网络资源的调整。The host control platform 30 is configured to perform adjustment of computing resources, storage resources, and network resources on the cloud host according to actual requirements.
本实施例中,云平台框架20内分配有虚拟资源池21,通过该虚拟资源池21可以实现多达18个功能的优化,分别为智能内存复用、存储精简配置、CPU节能管理、DPM(分布式电源管理)、DRS(动态资源调度)、计算HA、存储QOS、云主机内存快照、云主机内存快照与克隆、云主机热迁移、SR-IOV、VLAN隔离、安全组、安全加固、防火墙、云主机镜像管理、内置DDOS攻击防御功能。本实施例中,该物理机云化系统平台10实现计算资源、存储资源、网络资源的动态分配,降低维护工作量,提高资源的利用率,达到可以快速部署业务目标。本实施例中,主机控制平台30可以根据实际的要求对计算资源区211、存储资源区212以及网络资源区213中的各资源进行大小空间或者调用的优先级顺序进行调整。In this embodiment, a virtual resource pool 21 is allocated in the cloud platform framework 20, and the virtual resource pool 21 can be used to optimize up to 18 functions, namely, intelligent memory multiplexing, storage thin provisioning, CPU energy saving management, and DPM ( Distributed Power Management), DRS (Dynamic Resource Scheduling), Compute HA, Storage QOS, Cloud Host Memory Snapshot, Cloud Host Memory Snapshot and Clone, Cloud Host Hot Migration, SR-IOV, VLAN Isolation, Security Group, Security Hardening, Firewall , cloud host image management, built-in DDOS attack defense. In this embodiment, the physical machine cloud system platform 10 implements dynamic allocation of computing resources, storage resources, and network resources, reduces maintenance workload, improves resource utilization, and achieves rapid deployment of service targets. In this embodiment, the host control platform 30 can adjust the size space or the priority order of the resources in the computing resource area 211, the storage resource area 212, and the network resource area 213 according to actual requirements.
本发明的技术方案主要包括物理机云化系统平台10、与所述物理机云化系统平台10连接的云平台框架20以及与所述云平台框架20连接的主机控制平台30,本方案中在云平台框架20内分配有虚拟资源池21,该虚拟资源池21包括设置有计算资源的计算资源区211、设置有存储资源的存储资源区212以及设置有网络资源的网络资源区213;该物理机云化系统平台10,可以根据应用系统的应用需求动态地分配计算资源区211内的计算资源、存储资源区212内的存储资源以及网络资源区213的网络资源;该主机控制平台30,可以根据实际的要求对云主机进行计算资源、存储资源以及网络资源的调整,相比于现有技术,本发明的技术的云平台框架20中以虚拟资源池21代替冗余的IT设备(如数据库服务器、公文交换服务器等),通过将IT设备的计算能力、存储能力、通信能力通过打包进虚拟资源池21中来实现原IT设备所具备的功能,能够简化IT架构、提升服务器利用效率、降低能耗。The technical solution of the present invention mainly includes a physical machine cloud system platform 10, a cloud platform framework 20 connected to the physical machine cloud system platform 10, and a host control platform 30 connected to the cloud platform framework 20. A virtual resource pool 21 is disposed in the cloud platform framework 20, and the virtual resource pool 21 includes a computing resource area 211 provided with computing resources, a storage resource area 212 provided with storage resources, and a network resource area 213 provided with network resources; The cloud computing system platform 10 can dynamically allocate the computing resources in the computing resource area 211, the storage resources in the storage resource area 212, and the network resources in the network resource area 213 according to the application requirements of the application system; the host control platform 30 can According to the actual requirements, the cloud host is adjusted with the computing resources, the storage resources, and the network resources. Compared with the prior art, the cloud platform framework 20 of the present technology replaces the redundant IT devices (such as the database with the virtual resource pool 21). Server, document exchange server, etc., by packing the computing power, storage capacity, and communication capabilities of IT equipment into The virtual resource pool 21 implements the functions of the original IT device, which simplifies the IT architecture, improves server utilization efficiency, and reduces power consumption.
请参照图3和图4,在一具体的实施例中,所述物理机云化系统平台10包括物理机控制系统11、云计算物理网络云化平台12以及云计算服务平台13,所述物理机控制系统11用于控制各物理机正常工作,所述云计算物理网络云化平台12用于为各物理机提供资源服务接口/协议,所述云计算服务平台13用于根据物理机运行的应用系统的应用需求动态地分配计算资源区211内的计算资源、存储资源区212内的存储资源以及网络资源区213的网络资源。本实施例中,通过物理机控制系统11可以控制各物理机运行相应的应用系统,通过云计算物理网络云化平台12可以为各物理机中的应用系统提供调用各资源的服务接口/协议,该云计算服务平台13可以根据应用系统的需求动态分配资源,如此,可以实现代替IT设备的功能,进而可以提高资源的利用率。Referring to FIG. 3 and FIG. 4, in a specific embodiment, the physical machine cloud system platform 10 includes a physical machine control system 11, a cloud computing physical network cloud platform 12, and a cloud computing service platform 13, the physical The machine control system 11 is configured to control the normal operation of each physical machine. The cloud computing physical network cloud platform 12 is configured to provide a resource service interface/protocol for each physical machine, and the cloud computing service platform 13 is configured to operate according to a physical machine. The application requirements of the application system dynamically allocate computing resources in the computing resource area 211, storage resources in the storage resource area 212, and network resources in the network resource area 213. In this embodiment, the physical machine control system 11 can control each physical machine to run a corresponding application system. The cloud computing physical network cloudization platform 12 can provide a service interface/protocol for calling each resource for the application system in each physical machine. The cloud computing service platform 13 can dynamically allocate resources according to the requirements of the application system. Thus, the functions of the IT device can be replaced, thereby improving the utilization of resources.
请参照图3,在一具体的实施例中,所述私有云管理平台还包括与所述物理机云化系统平台10连接的主机在线商店40,用于对计算资源、存储资源以及网络资源的利用率进行统计。本实施例中,该主机在线商店40可以对各资源的利用率进行统计,以便于对所需的资源进行预算。在实际的过程中,根据资源的利用率可以采用内部信息货币的方式进行统计,以提供真实有效的信息资源投入的决策数据。Referring to FIG. 3, in a specific embodiment, the private cloud management platform further includes a host online store 40 connected to the physical cloud system platform 10 for computing resources, storage resources, and network resources. Utilization is counted. In this embodiment, the host online store 40 may perform statistics on the utilization rate of each resource in order to budget the required resources. In the actual process, according to the utilization rate of resources, the internal information currency can be used for statistics to provide real and effective decision data for information resources input.
进一步的,所述主机在线商店40还包括加权单元,所述加权单元用于对统计的计算资源、存储资源以及网络资源的利用率进行系数加权,以形成不同的资源分配等级。考虑到调用各资源的利用率大小以及调用各资源的优先级顺序,本实施例中,还可以对各利用率进行系数加权,在得出的各权值中设定各级阈值,以形成不同的资源分配等级。Further, the host online store 40 further includes a weighting unit configured to coefficient weight the statistical computing resources, the storage resources, and the utilization of the network resources to form different resource allocation levels. Considering the size of the utilization of each resource and the priority order of invoking each resource, in this embodiment, each utilization rate may be weighted, and threshold values of each level are set in the obtained weights to form different Resource allocation level.
进一步的,所述云管理平台还用于根据资源分配等级对调用的计算资源、存储资源以及网络资源进行优选级调用的分级管理。考虑到各应用系统对计算资源、存储资源以及网络资源的利用率不同,可以在资源的调用时进行优先级设置,如此,可以方便对网络资源调用的管理,提高资源调用效率。Further, the cloud management platform is further configured to perform hierarchical management of the invoked computing resources, the storage resources, and the network resources according to the resource allocation level. Considering that the utilization ratios of the computing resources, the storage resources, and the network resources are different in each application system, the priority setting may be performed when the resources are invoked, so that the management of the network resource calls can be facilitated, and the resource calling efficiency is improved.
在一具体的实施例中,所述主机控制平台30还用于根据云主机的使用状态生成报表。本实施例中,该主机控制平台30可以对根据云主机的使用状态生成报表,以方便维护人员查看,便于发现故障。In a specific embodiment, the host control platform 30 is further configured to generate a report according to a usage status of the cloud host. In this embodiment, the host control platform 30 can generate a report according to the usage state of the cloud host, so that the maintenance personnel can view the fault and facilitate the fault detection.
在一具体的实施例中,所述主机控制平台30还用于对云主机的使用状态进行监控。本实施例中,该主机控制平台30可以对云主机的使用状态进行监控,如此,能够保证云主机能够正常运行,提高资源调用的可靠性。当然,该主机控制平台30除上述的功能外还可以对云主机进行创建、开机、关机、重启、删除、迁移等功能。In a specific embodiment, the host control platform 30 is further configured to monitor the usage status of the cloud host. In this embodiment, the host control platform 30 can monitor the usage status of the cloud host, so that the cloud host can be operated normally and the reliability of the resource call is improved. Of course, the host control platform 30 can perform functions such as creating, powering on, powering off, restarting, deleting, and migrating the cloud host in addition to the above functions.
以上所述仅为本发明的优选实施例,并非因此限制本发明的专利范围,凡是在本发明的发明构思下,利用本发明说明书及附图内容所作的等效结构变换,或直接/间接运用在其他相关的技术领域均包括在本发明的专利保护范围内。The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the invention, and the equivalent structural transformation, or direct/indirect use, of the present invention and the contents of the drawings are used in the inventive concept of the present invention. It is included in the scope of the patent protection of the present invention in other related technical fields.

Claims (7)

  1. 一种私有云管理平台,其特征在于,所述私有云管理平台包括物理机云化系统平台、与所述物理机云化系统平台连接的云平台框架以及与所述云平台框架连接的主机控制平台; A private cloud management platform, the private cloud management platform includes a physical machine cloud system platform, a cloud platform framework connected to the physical cloud system platform, and host control connected to the cloud platform framework platform;
    所述云平台框架内分配有虚拟资源池,所述虚拟资源池包括设置有计算资源的计算资源区、设置有存储资源的存储资源区以及设置有网络资源的网络资源区;A virtual resource pool is allocated in the framework of the cloud platform, where the virtual resource pool includes a computing resource area in which computing resources are set, a storage resource area in which storage resources are set, and a network resource area in which network resources are set.
    所述物理机云化系统平台,用于根据应用系统的应用需求动态地分配计算资源区内的计算资源、存储资源区内的存储资源以及网络资源区的网络资源;The physical machine cloud system platform is configured to dynamically allocate computing resources in a computing resource area, storage resources in a storage resource area, and network resources in a network resource area according to application requirements of the application system;
    所述主机控制平台,用于根据实际的要求对云主机进行计算资源、存储资源以及网络资源的调整。 The host control platform is configured to perform adjustment of computing resources, storage resources, and network resources on the cloud host according to actual requirements.
  2. 如权利要求1所述的私有云管理平台,其特征在于,所述物理机云化系统平台包括物理机控制系统、云计算物理网络云化平台以及云计算服务平台,所述物理机控制系统用于控制各物理机正常工作,所述云计算物理网络云化平台用于为各物理机提供资源服务接口/协议,所述云计算服务平台用于根据物理机运行的应用系统的应用需求动态地分配计算资源区内的计算资源、存储资源区内的存储资源以及网络资源区的网络资源。The private cloud management platform according to claim 1, wherein the physical machine cloud system platform comprises a physical machine control system, a cloud computing physical network cloud platform, and a cloud computing service platform, wherein the physical machine control system uses The cloud computing physical network cloud platform is used to provide a resource service interface/protocol for each physical machine, and the cloud computing service platform is used to dynamically according to the application requirements of the application system running by the physical machine. Allocating computing resources in the computing resource zone, storage resources in the storage resource zone, and network resources in the network resource zone.
  3. 如权利要求1所述的私有云管理平台,其特征在于,所述私有云管理平台还包括与所述物理机云化系统平台连接的主机在线商店,用于对计算资源、存储资源以及网络资源的利用率进行统计。The private cloud management platform according to claim 1, wherein the private cloud management platform further comprises a host online store connected to the physical machine cloud system platform for computing resources, storage resources, and network resources. The utilization rate is counted.
  4. 如权利要求3所述的私有云管理平台,其特征在于,所述主机在线商店还包括加权单元,所述加权单元用于对统计的计算资源、存储资源以及网络资源的利用率进行系数加权,以形成不同的资源分配等级。The private cloud management platform according to claim 3, wherein the host online store further comprises a weighting unit, wherein the weighting unit is configured to perform coefficient weighting on the statistical computing resource, the storage resource, and the utilization rate of the network resource. To form different resource allocation levels.
  5. 如权利要求4所述的私有云管理平台,其特征在于,所述云管理平台还用于根据资源分配等级对调用的计算资源、存储资源以及网络资源进行优选级调用的分级管理。The private cloud management platform of claim 4, wherein the cloud management platform is further configured to perform hierarchical management of the invoked computing resources, the storage resources, and the network resources according to the resource allocation level.
  6. 如权利要求1所述的私有云管理平台,其特征在于,所述主机控制平台还用于根据云主机的使用状态生成报表。The private cloud management platform of claim 1, wherein the host control platform is further configured to generate a report according to a usage status of the cloud host.
  7. 如权利要求6所述的私有云管理平台,其特征在于,所述主机控制平台还用于对云主机的使用状态进行监控。The private cloud management platform of claim 6, wherein the host control platform is further configured to monitor usage status of the cloud host.
PCT/CN2016/093885 2016-08-08 2016-08-08 Private cloud management platform WO2018027449A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2016/093885 WO2018027449A1 (en) 2016-08-08 2016-08-08 Private cloud management platform
CN201680001081.4A CN108028850B (en) 2016-08-08 2016-08-08 Private cloud management platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/093885 WO2018027449A1 (en) 2016-08-08 2016-08-08 Private cloud management platform

Publications (1)

Publication Number Publication Date
WO2018027449A1 true WO2018027449A1 (en) 2018-02-15

Family

ID=61161169

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/093885 WO2018027449A1 (en) 2016-08-08 2016-08-08 Private cloud management platform

Country Status (2)

Country Link
CN (1) CN108028850B (en)
WO (1) WO2018027449A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110209498A (en) * 2019-05-30 2019-09-06 浙江运达风电股份有限公司 Cross-available-area resource scheduling method based on private cloud
CN113965593A (en) * 2020-07-01 2022-01-21 成都秦川物联网科技股份有限公司 Intra-network operation method and system of partitioned cloud platform based on Internet of vehicles
CN115174407A (en) * 2022-06-17 2022-10-11 上海仪电(集团)有限公司中央研究院 Method and system for dynamically allocating bandwidth based on private cloud environment
CN115695180A (en) * 2022-10-28 2023-02-03 北京大学 Private cloud platform and building and managing method thereof

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112148496B (en) * 2020-10-12 2023-09-26 北京计算机技术及应用研究所 Energy efficiency management method and device for computing storage resources of super-fusion virtual machine and electronic equipment
CN113238874B (en) * 2021-07-08 2021-11-23 成方金融科技有限公司 Resource matching method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567080A (en) * 2012-01-04 2012-07-11 北京航空航天大学 Virtual machine position selection system facing load balance in cloud computation environment
US20140137106A1 (en) * 2012-11-13 2014-05-15 International Business Machines Corporation Runtime Based Application Security and Regulatory Compliance in Cloud Environment
CN103812789A (en) * 2013-09-18 2014-05-21 广东电网公司佛山供电局 Cloud service resource automatic allocating method and system
CN104184837A (en) * 2014-09-15 2014-12-03 北京尖峰合讯科技有限公司 High-availability cloud computing all-in-one machine
CN105046393A (en) * 2015-05-04 2015-11-11 南京智行信息科技有限公司 Cloud computing-based traffic resource management system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102681899B (en) * 2011-03-14 2015-06-10 金剑 Virtual computing resource dynamic management system of cloud computing service platform
US10432699B2 (en) * 2014-06-26 2019-10-01 Vmware, Inc. Crowd-sourced operational metric analysis of virtual appliances

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567080A (en) * 2012-01-04 2012-07-11 北京航空航天大学 Virtual machine position selection system facing load balance in cloud computation environment
US20140137106A1 (en) * 2012-11-13 2014-05-15 International Business Machines Corporation Runtime Based Application Security and Regulatory Compliance in Cloud Environment
CN103812789A (en) * 2013-09-18 2014-05-21 广东电网公司佛山供电局 Cloud service resource automatic allocating method and system
CN104184837A (en) * 2014-09-15 2014-12-03 北京尖峰合讯科技有限公司 High-availability cloud computing all-in-one machine
CN105046393A (en) * 2015-05-04 2015-11-11 南京智行信息科技有限公司 Cloud computing-based traffic resource management system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110209498A (en) * 2019-05-30 2019-09-06 浙江运达风电股份有限公司 Cross-available-area resource scheduling method based on private cloud
CN113965593A (en) * 2020-07-01 2022-01-21 成都秦川物联网科技股份有限公司 Intra-network operation method and system of partitioned cloud platform based on Internet of vehicles
CN113965593B (en) * 2020-07-01 2023-11-21 成都秦川物联网科技股份有限公司 Method and system for operating in-network partition cloud platform based on Internet of vehicles
CN115174407A (en) * 2022-06-17 2022-10-11 上海仪电(集团)有限公司中央研究院 Method and system for dynamically allocating bandwidth based on private cloud environment
CN115174407B (en) * 2022-06-17 2024-06-04 上海仪电(集团)有限公司中央研究院 Bandwidth dynamic allocation method and system based on private cloud environment
CN115695180A (en) * 2022-10-28 2023-02-03 北京大学 Private cloud platform and building and managing method thereof
CN115695180B (en) * 2022-10-28 2024-04-30 北京大学 Private cloud platform and building and managing method thereof

Also Published As

Publication number Publication date
CN108028850B (en) 2021-03-26
CN108028850A (en) 2018-05-11

Similar Documents

Publication Publication Date Title
WO2018027449A1 (en) Private cloud management platform
Rath Resource provision and QoS support with added security for client side applications in cloud computing
CN107087019A (en) A kind of end cloud cooperated computing framework and task scheduling apparatus and method
CN103067293B (en) Method and system for multiplex and connection management of a load balancer
CN111813330B (en) System and method for dispatching input-output
CN105159775A (en) Load balancer based management system and management method for cloud computing data center
CN109314724A (en) The methods, devices and systems of virtual machine access physical server in cloud computing system
WO2018171081A1 (en) Adaptive computing resource allocation method regarding virtual network function
CN104580120A (en) On-demand-service virtualization network intrusion detection method and device
Tseng et al. Service-oriented virtual machine placement optimization for green data center
Boru et al. Models for efficient data replication in cloud computing datacenters
CN110661865A (en) Network communication method and network communication architecture
ITRM20110433A1 (en) ENERGY SAVING SYSTEM IN THE COMPANY DATE CENTERS.
Shahzad et al. Reduce VM migration in bandwidth oversubscribed cloud data centres
CN105046393B (en) Traffic resource management system based on cloud computing
Maswood et al. Energy-efficient dynamic virtual network traffic engineering for north-south traffic in multi-location data center networks
Chen et al. Allocating bandwidth in datacenter networks: A survey
CN104104736A (en) Cloud server and use method thereof
CN105653347B (en) A kind of server, method for managing resource and virtual machine manager
CN111262815A (en) Virtual host management system
CN109144483A (en) Method, device and equipment for matching software interface and readable storage medium
WO2016003127A1 (en) Management system for server/storage
CN111753327B (en) Block storage encryption equipment, distributed cluster system and application method thereof
JP2010231601A (en) Grid computing system, method and program for controlling resource
Yu et al. Towards predictable performance via two-layer bandwidth allocation in cloud datacenter

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16911906

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205 DATED 04/06/2019)

122 Ep: pct application non-entry in european phase

Ref document number: 16911906

Country of ref document: EP

Kind code of ref document: A1