[go: up one dir, main page]

CN107135277A - A method and device for implementing an all-in-one machine - Google Patents

A method and device for implementing an all-in-one machine Download PDF

Info

Publication number
CN107135277A
CN107135277A CN201710545015.XA CN201710545015A CN107135277A CN 107135277 A CN107135277 A CN 107135277A CN 201710545015 A CN201710545015 A CN 201710545015A CN 107135277 A CN107135277 A CN 107135277A
Authority
CN
China
Prior art keywords
database server
memory module
data
storage
storage module
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
Application number
CN201710545015.XA
Other languages
Chinese (zh)
Inventor
常彦文
杨磊
乔鑫
李勋堂
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhengzhou Yunhai Information Technology Co Ltd
Original Assignee
Zhengzhou Yunhai Information Technology Co Ltd
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 Zhengzhou Yunhai Information Technology Co Ltd filed Critical Zhengzhou Yunhai Information Technology Co Ltd
Priority to CN201710545015.XA priority Critical patent/CN107135277A/en
Publication of CN107135277A publication Critical patent/CN107135277A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1001Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

本发明提供一体机实现方法及装置,上述方法包括以下步骤:使用至少一个数据库服务器对数据进行计算;通过至少一个存储模块管理所述数据,集数据计算、传输与存储功能集于一身,更快的部署与应用上线时间,方便企业后续业务扩展和升级。

The present invention provides a method and device for implementing an all-in-one machine. The above method includes the following steps: using at least one database server to calculate data; managing the data through at least one storage module, integrating data calculation, transmission and storage functions, and faster Deployment and application launch time, which facilitates the subsequent business expansion and upgrade of enterprises.

Description

一种一体机实现方法及装置A method and device for implementing an all-in-one machine

技术领域technical field

本发明属于计算机领域,尤其涉及一种一体机实现方法及装置。The invention belongs to the field of computers, and in particular relates to a method and device for realizing an all-in-one computer.

背景技术Background technique

随着超大规模(Hyper-Scale)应用广泛部署于大型IT企业,基于IOE架构的数据库服务器系统需要应对大量用户的并发访问,其系统性能依赖系统软硬件架构,需优化应用程序,CPU,内存,网络,存储设备等组件,才能满足客户需求。As Hyper-Scale applications are widely deployed in large IT enterprises, the database server system based on the IOE architecture needs to cope with the concurrent access of a large number of users. Components such as networks and storage devices can meet customer needs.

当应用程序需要很高的存储I/O指令响应速度(IOPS)和较低的存储访问延迟(Latency),通常购买大型高性能存储和高端主机,这些设备不仅价格高昂,部署和扩展性很差,而且需要专业人员维护。整个架构环境复杂,需要主机人员、S光纤交换机、存储技术人员参与部署和维护。When applications require high storage I/O instruction response speed (IOPS) and low storage access latency (Latency), large-scale high-performance storage and high-end hosts are usually purchased. These devices are not only expensive, but also poor in deployment and scalability. , and requires professional maintenance. The environment of the entire architecture is complex, requiring host personnel, S-fibre switches, and storage technicians to participate in deployment and maintenance.

基于主机和集中式存储架构(即所谓的IOE架构)的数据库服务器集群系统普遍应用到金融、电信、社保、能源行业,承担着客户重要核心业务系统。Database server cluster systems based on host and centralized storage architecture (so-called IOE architecture) are widely used in finance, telecommunications, social security, and energy industries, and undertake important core business systems of customers.

目前相关技术主要采用IOE架构设计方案,两台关键应用主机承担数据库计算服务器,高端存储通过FC协议映射给关键应用主机存放数据,在大量IO访问时,两台计算节点能同时支撑前端应用访问。传统IOE架构成本比较高、扩展性差、维护成本高、性能也无法满足大数据查询。At present, related technologies mainly adopt the IOE architecture design scheme. Two key application hosts are responsible for database computing servers, and high-end storage is mapped to key application hosts to store data through the FC protocol. When a large number of IO accesses are made, the two computing nodes can simultaneously support front-end application access. The traditional IOE architecture has high costs, poor scalability, high maintenance costs, and performance that cannot meet big data queries.

目前现有数据库集群系统大部分使用关键应用主机和磁盘阵列架构,磁盘阵列基本使用传统机械硬盘,传统机械硬盘发展了几十年,在数据吞吐量方面尚能应付,而在应对高I/O指令响应速度(IOPS)方面难以满足企业对高性能数据访问的需求。传统机械硬盘通常可提供数百IOPS,如果应用需要更高IOPS,则需要大量机械硬盘构建大型磁盘阵列,并合理摆放数据。虽然最近几年,大型磁盘阵列也在使用SSD磁盘,但受限于光纤带宽16Gb限制,还是无法满足大吞吐量的应用场景;另外传统基础架构的技术复杂度限制了闪存性能的发挥,同时带来了巨大的运维负担,使企业在维持重要的业务决策的同时,被动投入大量基础设施维护成本。At present, most of the existing database cluster systems use key application hosts and disk array architectures. Disk arrays basically use traditional mechanical hard disks. Traditional mechanical hard disks have been developed for decades and can still cope with data throughput. However, when dealing with high I/O In terms of command response speed (IOPS), it is difficult to meet the needs of enterprises for high-performance data access. Traditional mechanical hard disks can usually provide hundreds of IOPS. If the application requires higher IOPS, a large number of mechanical hard disks are required to build a large disk array and arrange data reasonably. Although large-scale disk arrays have also used SSD disks in recent years, they are still unable to meet high-throughput application scenarios due to the limitation of fiber bandwidth of 16Gb; in addition, the technical complexity of traditional infrastructure limits the performance of flash memory. A huge burden of operation and maintenance has come, which makes enterprises passively invest a lot of infrastructure maintenance costs while maintaining important business decisions.

因此,需要一种以轻量级配备提供更高性能的架构方案,以解决扩展性差、维护成本高、性能无法满足大数据查询的问题。Therefore, there is a need for an architecture solution that provides higher performance with lightweight equipment to solve the problems of poor scalability, high maintenance costs, and performance that cannot meet large data queries.

发明内容Contents of the invention

本发明提供一种一体机实现方法及装置,以解决上述问题。The present invention provides a method and device for implementing an all-in-one machine to solve the above problems.

本发明提供一种一体机实现方法。上述方法包括以下步骤:The invention provides a method for realizing an all-in-one machine. The above method comprises the following steps:

使用至少一个数据库服务器对数据进行计算;use at least one database server to perform calculations on the data;

通过至少一个存储模块管理所述数据。The data is managed by at least one storage module.

本发明还提供一种一体机,包括:至少一个数据库服务器和至少一个存储模块,其中,所述至少一个数据库服务器与所述至少一存储模块连接:The present invention also provides an all-in-one machine, including: at least one database server and at least one storage module, wherein the at least one database server is connected to the at least one storage module:

至少一个数据库服务器,用于对数据进行计算;at least one database server for computing data;

至少一个存储模块,用于管理所述数据。At least one storage module is used to manage the data.

通过以下方案:使用至少一个数据库服务器对数据进行计算,通过至少一个存储模块管理数据,于融合架构设计,采用标准的X86服务器,将计算、存储整合为通用的融合架构,节点之间通过InfiniBand高速互联,构成轻量级的负载均衡集群,精密整合融入一站式机柜。预集成分布式集群、数据库与云平台管理系统,所有软硬组件预先配置调优,实现一体化快速交付,以轻量级配备提供更高性能,同时实现最小化TCO、最大化ROI。全闪存配备消除了传统架构I/O延迟所带来的处理瓶颈,充分释放CPU处理能力,对OLTP数据库有卓越表现,以更高的性价比,为数据库业务提供无与伦比的处理能力。Adopt the following solution: use at least one database server to calculate data, manage data through at least one storage module, and design a converged architecture, use standard X86 servers to integrate computing and storage into a common converged architecture, and use InfiniBand high-speed between nodes Interconnected to form a lightweight load balancing cluster, precisely integrated into a one-stop cabinet. Pre-integrated distributed clusters, databases, and cloud platform management systems, all software and hardware components are pre-configured and tuned to achieve integrated and fast delivery, and provide higher performance with lightweight equipment while minimizing TCO and maximizing ROI. The all-flash configuration eliminates the processing bottleneck caused by the I/O delay of the traditional architecture, fully releases the CPU processing power, has excellent performance on OLTP databases, and provides unparalleled processing power for database services at a higher cost performance.

附图说明Description of drawings

此处所说明的附图用来提供对本发明的进一步理解,构成本申请的一部分,本发明的示意性实施例及其说明用于解释本发明,并不构成对本发明的不当限定。在附图中:The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

图1所示为本发明实施例1的一体机实现方法处理流程图;Fig. 1 shows the processing flowchart of the all-in-one machine implementation method in Embodiment 1 of the present invention;

图2所示为本发明实施例2的一体机结构图。FIG. 2 is a structural diagram of an all-in-one machine according to Embodiment 2 of the present invention.

具体实施方式detailed description

下文中将参考附图并结合实施例来详细说明本发明。需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互组合。Hereinafter, the present invention will be described in detail with reference to the drawings and examples. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

图1所示为本发明实施例1的一体机实现方法处理流程图,包括以下步骤:Fig. 1 shows the processing flow chart of the all-in-one machine implementation method in Embodiment 1 of the present invention, including the following steps:

步骤102:使用至少一个数据库服务器对数据进行计算。Step 102: Use at least one database server to perform calculations on the data.

步骤104:通过至少一个存储模块管理所述数据。Step 104: Manage the data through at least one storage module.

进一步地,为所述存储模块配置至少两个闪存卡。Further, at least two flash memory cards are configured for the storage module.

进一步地,采用Share-Nothing的分布式技术将所述至少一个存储模块融合成集群式逻辑资源池;Further, using Share-Nothing distributed technology to fuse the at least one storage module into a clustered logical resource pool;

采用RDMA零拷贝技术将所述数据从所述存储模块迁移至所述数据库服务器。The data is migrated from the storage module to the database server using RDMA zero-copy technology.

进一步地,所述至少一个数据库服务器与所述至少一个存储模块之间通过IB网络通信。Further, the at least one database server communicates with the at least one storage module through an IB network.

其中,所述数据库服务器为通用X86服务器。Wherein, the database server is a general X86 server.

因此,在通用X86服务器上配置高IOPS闪存硬盘,采用Share-Nothing的分布式架构,将各节点本地SSD存储融合为全站统一的集群式逻辑资源池,存储资源池分配出来的LUN通过IB网络映射前端的计算节点,Infiniband协议的主要特点是高带宽、低时延、系统扩展性好。Therefore, high IOPS flash disks are configured on general-purpose X86 servers, and the Share-Nothing distributed architecture is adopted to integrate the local SSD storage of each node into a unified clustered logical resource pool for the entire site. The LUNs allocated from the storage resource pool pass through the IB network Mapping the front-end computing nodes, the main features of the Infiniband protocol are high bandwidth, low latency, and good system scalability.

网络传输使用RDMA零拷贝技术,使数据从存储节点快速移动到计算节点中,而不对操作系统造成任何影响,也不需要用到多少计算机的处理功能,它消除了外部存储器复制和文本交换操作,因而能解放内存带宽和CPU周期用于改进应用系统性能。Network transmission uses RDMA zero-copy technology to quickly move data from storage nodes to computing nodes without any impact on the operating system, and does not require much computer processing capabilities. It eliminates external memory copy and text exchange operations, This frees up memory bandwidth and CPU cycles for improved application performance.

两台DB server(数据库服务器)安装操作系统Redhat6.5,系统安装Infiniband驱动和存储管理软件,数据库可以部署浪潮K-DB KAC;三台Storage Server需要安装操作系统Redhat 6.5、Infiniband驱动和Sdata存储管理软件,每台Storage Server配置两块PCIE-SSD闪存卡;两台DB server和三台Storage Server通过IB网络互联。具体实施参数参考下表:Two DB servers (database servers) are installed with operating system Redhat6.5, and the system is installed with Infiniband driver and storage management software. The database can be deployed with Inspur K-DB KAC; three Storage Servers need to be installed with operating system Redhat 6.5, Infiniband driver and Sdata storage management Software, each Storage Server is configured with two PCIE-SSD flash memory cards; two DB servers and three Storage Servers are interconnected through the IB network. For specific implementation parameters, refer to the following table:

安装参数可参考下表:The installation parameters can refer to the following table:

闪存技术:而相对于磁盘技术,闪存可提供较高的IOPS,现阶段通常可达数十万,在很大程度上解决了企业应用对IOPS需求的瓶颈,并给客户带来更多的价值。闪存技术革新的非机械结构消除了传统磁盘的磁道式结构,可以更快地传送数据,极大提高了数据读取速度,显著降低时间延迟。闪存高IOPS的特点,可以非常有效地应对高虚拟机密度下应用的IOPS需求,并线性升级IOPS来满足应用的扩展需求。Flash memory technology: Compared with disk technology, flash memory can provide higher IOPS, usually up to hundreds of thousands at the current stage, which largely solves the bottleneck of enterprise applications' demand for IOPS and brings more value to customers . The innovative non-mechanical structure of flash memory technology eliminates the magnetic track structure of traditional disks, which can transmit data faster, greatly improve the data reading speed, and significantly reduce time delay. The high IOPS of flash memory can effectively meet the IOPS requirements of applications with high virtual machine density, and linearly upgrade IOPS to meet the expansion requirements of applications.

分布式存储:以软件定义为核心,采用Share-Nothing的分布式架构,将各节点本地SSD存储融合为全站统一的集群式逻辑资源池,实现存储资源的动态部署,提高了系统的Scale-up与Scale-out多维度弹性扩展能力。使用户可以根据业务负载,按需扩容,灵活平衡资源。Distributed storage: With software definition as the core, using the Share-Nothing distributed architecture, the local SSD storage of each node is integrated into a unified clustered logical resource pool for the whole site, which realizes the dynamic deployment of storage resources and improves the Scale- Up and Scale-out multi-dimensional elastic expansion capabilities. Allow users to expand capacity on demand and flexibly balance resources according to business load.

RDMA零拷贝技术:RDMA的零拷贝网络技术使得数据从一个系统快速移动到远程系统存储器中,而不对操作系统造成任何影响,也就不需要用到多少计算机的处理功能。它消除了外部存储器复制和文本交换操作,因而能解放内存带宽和CPU周期用于改进应用系统性能。RDMA zero-copy technology: RDMA's zero-copy network technology enables data to be quickly moved from one system to remote system memory without any impact on the operating system and without the need for much computer processing power. It eliminates external memory copy and text swap operations, thereby freeing memory bandwidth and CPU cycles for improved application performance.

InfiniBand:InfiniBand是一个统一的互联结构,既可以处理存储I/O、网络I/0,也能够处理进程间通信(IPC)。nfiniband协议的主要特点是高带宽、低时延、系统扩展性好(可轻松实现完全无拥塞的数万端设备的Infiniband网络),而且在单个或多个互联网络中支持冗余的I/O通道,因此能保持数据中心在局部故障时仍能运转。InfiniBand: InfiniBand is a unified interconnect structure that can handle storage I/O, network I/0, and inter-process communication (IPC). The main features of the nfiniband protocol are high bandwidth, low latency, and good system scalability (it can easily realize an Infiniband network with tens of thousands of devices without congestion), and it supports redundant I/O in single or multiple interconnected networks channels, thus keeping the data center operational in the event of a partial failure.

图2所示为本发明实施例2的一体机结构图。FIG. 2 is a structural diagram of an all-in-one machine according to Embodiment 2 of the present invention.

如图2所示,根据本发明的实施例的一种一体机,包括:至少一个数据库服务器202和至少一个存储模块204,其中,所述至少一个数据库服务器与所述至少一个存储模块连接:As shown in FIG. 2, an all-in-one machine according to an embodiment of the present invention includes: at least one database server 202 and at least one storage module 204, wherein the at least one database server is connected to the at least one storage module:

至少一个数据库服务器202,用于对数据进行计算;At least one database server 202, used for calculating the data;

至少一个存储模块204,用于管理所述数据。At least one storage module 204, configured to manage the data.

进一步地,所述存储模块204包括至少两个闪存卡。Further, the storage module 204 includes at least two flash memory cards.

进一步地,所述存储模块204采用Share-Nothing的分布式技术将所述至少一个存储模块融合成集群式逻辑资源池;Further, the storage module 204 uses the Share-Nothing distributed technology to fuse the at least one storage module into a clustered logical resource pool;

所述数据库服务器202采用RDMA零拷贝技术从所述存储模块中读取所述数据。The database server 202 uses RDMA zero-copy technology to read the data from the storage module.

进一步地,所述至少一个数据库服务器202与所述至少一个存储模块204之间通过IB网络通信。Further, the at least one database server 202 communicates with the at least one storage module 204 through an IB network.

进一步地,所述数据库服务器202为通用X86服务器。Further, the database server 202 is a general X86 server.

基于通用X86服务器开发平台,集数据计算、传输与存储功能集于一身,更快的部署与应用上线时间,方便企业后续业务扩展和升级;提供百万级别IOPS、微妙级别延迟,提升业务处理能力,缩短业务等待时间,提高企业工作效率;整套技术方案全冗余架构,无单点故障,极大保证了业务系统高可用。Based on the general X86 server development platform, it integrates data computing, transmission and storage functions, faster deployment and application launch time, and facilitates subsequent business expansion and upgrading of enterprises; provides millions of IOPS, subtle-level delay, and improves business processing capabilities , shorten the business waiting time, improve the work efficiency of the enterprise; the whole set of technical solutions has a fully redundant architecture, and there is no single point of failure, which greatly ensures the high availability of the business system.

以上所述仅为本发明的优选实施例而已,并不用于限制本发明,对于本领域的技术人员来说,本发明可以有各种更改和变化。凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. a kind of all-in-one machine realization method, it is characterised in that comprise the following steps:
Data are calculated using at least one database server;
The data are managed by least one memory module.
2. according to the method described in claim 1, it is characterised in that configure at least two flash cards for the memory module.
3. according to the method described in claim 1, it is characterised in that will be described using Share-Nothing distributed computing technology At least one memory module is fused into concentrating type logical resource pond;
The data are migrated to the database server from the memory module using RDMA zero duplication technologies.
4. according to the method described in claim 1, it is characterised in that at least one described database server and described at least one Pass through IB network services between individual memory module.
5. method according to any one of claim 1 to 4, it is characterised in that the database server is general X86 Server.
6. a kind of all-in-one, it is characterised in that including:At least one database server and at least one memory module, wherein, At least one described database server is connected with least one described memory module:
At least one database server, for calculating data;
At least one memory module, for managing the data.
7. all-in-one according to claim 6, it is characterised in that the memory module includes at least two flash cards.
8. all-in-one according to claim 7, it is characterised in that the memory module is divided using Share-Nothing's At least one described memory module is fused into concentrating type logical resource pond by cloth technology;
The database server reads the data using RDMA zero duplication technologies from the memory module.
9. all-in-one according to claim 6, it is characterised in that at least one described database server with it is described at least Pass through IB network services between one memory module.
10. the all-in-one according to any one of claim 6 to 9, it is characterised in that the database server is general X86 servers.
CN201710545015.XA 2017-07-06 2017-07-06 A method and device for implementing an all-in-one machine Pending CN107135277A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710545015.XA CN107135277A (en) 2017-07-06 2017-07-06 A method and device for implementing an all-in-one machine

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710545015.XA CN107135277A (en) 2017-07-06 2017-07-06 A method and device for implementing an all-in-one machine

Publications (1)

Publication Number Publication Date
CN107135277A true CN107135277A (en) 2017-09-05

Family

ID=59737373

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710545015.XA Pending CN107135277A (en) 2017-07-06 2017-07-06 A method and device for implementing an all-in-one machine

Country Status (1)

Country Link
CN (1) CN107135277A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103873559A (en) * 2014-02-13 2014-06-18 南京斯坦德通信股份有限公司 Database all-in-one machine capable of realizing high-speed storage
CN104539679A (en) * 2014-12-22 2015-04-22 国网信通亿力科技有限责任公司 Clustered database system based on distributed flash technology and data transmission method of clustered database system
CN105474210A (en) * 2013-07-05 2016-04-06 蓝色棱镜有限公司 System for automating processes
CN105681402A (en) * 2015-11-25 2016-06-15 北京文云易迅科技有限公司 Distributed high speed database integration system based on PCIe flash memory card
CN105721551A (en) * 2016-01-21 2016-06-29 上海龙田数码科技有限公司 Desktop virtualization realizing method
CN106547659A (en) * 2016-11-01 2017-03-29 郑州云海信息技术有限公司 A kind of method that TPM functions of modules is tested under Linux
CN106681738A (en) * 2017-01-05 2017-05-17 郑州云海信息技术有限公司 Method of modifying BIOS current values of Rack server based on Map String

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105474210A (en) * 2013-07-05 2016-04-06 蓝色棱镜有限公司 System for automating processes
CN103873559A (en) * 2014-02-13 2014-06-18 南京斯坦德通信股份有限公司 Database all-in-one machine capable of realizing high-speed storage
CN104539679A (en) * 2014-12-22 2015-04-22 国网信通亿力科技有限责任公司 Clustered database system based on distributed flash technology and data transmission method of clustered database system
CN105681402A (en) * 2015-11-25 2016-06-15 北京文云易迅科技有限公司 Distributed high speed database integration system based on PCIe flash memory card
CN105721551A (en) * 2016-01-21 2016-06-29 上海龙田数码科技有限公司 Desktop virtualization realizing method
CN106547659A (en) * 2016-11-01 2017-03-29 郑州云海信息技术有限公司 A kind of method that TPM functions of modules is tested under Linux
CN106681738A (en) * 2017-01-05 2017-05-17 郑州云海信息技术有限公司 Method of modifying BIOS current values of Rack server based on Map String

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张翔: "超融合数据服务平台在融合媒体的应用", 《广播与电视技术》 *

Similar Documents

Publication Publication Date Title
US11042311B2 (en) Cluster system with calculation and storage converged
JP4986844B2 (en) System and method for detecting and managing HPC node failures
JP4560435B2 (en) High performance computing system and high performance computing method
US10091295B1 (en) Converged infrastructure implemented with distributed compute elements
US8161134B2 (en) Smart zoning to enforce interoperability matrix in a storage area network
US8347010B1 (en) Scalable data storage architecture and methods of eliminating I/O traffic bottlenecks
US10423332B2 (en) Fibre channel storage array having standby controller with ALUA standby mode for forwarding SCSI commands
US9304704B2 (en) Communication with two or more storage devices via one SAS communication port
US8381217B1 (en) System and method for preventing resource over-commitment due to remote management in a clustered network storage system
JP2007533034A (en) Graphical user interface for managing HPC clusters
US8438244B2 (en) Bandwidth-proportioned datacenters
JP6137313B2 (en) High availability computer system
US10637733B2 (en) Dynamic grouping and repurposing of general purpose links in disaggregated datacenters
CN103561101A (en) Network file system
CN103257941B (en) Multi-protocol storage controller and system
CN104135514B (en) Fusion type virtual storage system
US20210263676A1 (en) Queue management in multi-site storage systems
US11405455B2 (en) Elastic scaling in a storage network environment
CN104102742A (en) High-performance mass storage system and high-performance mass storage method
US20060156055A1 (en) Storage network that includes an arbiter for managing access to storage resources
US20050193021A1 (en) Method and apparatus for unified storage of data for storage area network systems and network attached storage systems
CN109302494A (en) A configuration method, device, device and medium of a network storage system
US9396023B1 (en) Methods and systems for parallel distributed computation
Dufrasne et al. IBM DS8870 Architecture and Implementation (release 7.5)
US11012423B2 (en) Maximizing resource utilization through efficient component communication in disaggregated datacenters

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20170905

RJ01 Rejection of invention patent application after publication