CN107783798A - It is dynamically adapted the storage architecture of number of servers - Google Patents
It is dynamically adapted the storage architecture of number of servers Download PDFInfo
- Publication number
- CN107783798A CN107783798A CN201711015846.2A CN201711015846A CN107783798A CN 107783798 A CN107783798 A CN 107783798A CN 201711015846 A CN201711015846 A CN 201711015846A CN 107783798 A CN107783798 A CN 107783798A
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- Prior art keywords
- server
- servers
- memory cell
- dynamically adapted
- storage architecture
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Stored Programmes (AREA)
Abstract
The present invention discloses a kind of storage architecture for being dynamically adapted number of servers, including:Some memory cell, SAS controller, some servers, management node;All memory cell are through SAS controller and Servers-all communication connection;The management node is configured with server and opens and closes program, and the server opens and closes the unlatching quantity that program controls server according to system loading, and after a certain server shuts down, the memory cell being originally controlled by it turns the server controls by being currently running;After a server is increased, server that memory cell equilibrium assignment is newly opened to this.The invention has the advantages that:(1) electricity charge, are saved.For one possesses thousands of up to ten thousand server data centers, the expense that electricity is saved under server is considerable;(2), server resource makes full use of.Such server can load different operating system and software, therefore can be used as other purposes, such as big data analysis, image real time transfer.
Description
Technical field
The present invention relates to computer field of storage, more particularly to a kind of storage architecture for being dynamically adapted number of servers.
Background technology
Current distributed storage cluster, wherein the server node quantity possessed is fixed, can only according to capacity or
The demand of performance, the data of increase (or reduction) server, are that can not accomplish with the compound of business and timely dynamic change.
Therefore, these servers are all at every moment in operation, even in the case of load is low-down, can so bring two
Problem:
(1), useless power consumption.The little server of this load is run for 24 hours, and the electricity and expense of consumption are very high;
(2), the waste of server calculating chart.These servers can not be used for other calculating, cause server hard
The waste of part data.
Therefore, there is problem in prior art, and the present invention is proposed based on this.
The content of the invention
The problem of existing for prior art, the present invention provide a kind of storage architecture for being dynamically adapted number of servers.
To achieve the above object, concrete technical scheme of the invention is as follows:
A kind of storage architecture for being dynamically adapted number of servers, including:Some memory cell, SAS controller, some clothes
Business device, management node;
All memory cell are through SAS controller and Servers-all communication connection;
The management node is configured with server and opens and closes program, and the server opens and closes program and controls service according to system loading
The unlatching quantity of device, after a certain server shuts down, the memory cell being originally controlled by it turns the server control by being currently running
System;After a server is increased, server that memory cell equilibrium assignment is newly opened to this.
Preferably, the quantity of the memory cell is more than the quantity of server.
Preferably, the memory cell is disk.
Preferably, the SAS controller is connected with memory cell, server wire communication respectively.
Preferably, the management node is connected with server wireless telecommunications.
Using technical scheme, have the advantages that:
(1) electricity charge, are saved.For one possesses thousands of up to ten thousand server data centers, electricity is saved under server
Expense be considerable;
(2), server resource makes full use of.Such server can load different operating system and software, therefore available
Make other purposes, such as big data analysis, image real time transfer.
Brief description of the drawings
Fig. 1 is the storage architecture structure chart of one embodiment of the invention;
Fig. 2 is the working state figure of Fig. 1 embodiments.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is further described.
Reference picture 1 and Fig. 2, the present invention provide a kind of storage architecture for being dynamically adapted number of servers, including:It is some to deposit
Storage unit, SAS controller 2, some servers (equivalent to the calculate node 3 marked in Fig. 1,2), management node 4;
All memory cell are through SAS controller 2 and Servers-all communication connection;
The management node 4 is configured with server and opens and closes program, and the server opens and closes program and controls clothes according to system loading
The unlatching quantity of business device, after a certain server shuts down, the memory cell being originally controlled by it turns the server by being currently running
Control;After a server is increased, server that memory cell equilibrium assignment is newly opened to this.
Wherein, the quantity of the memory cell is more than the quantity of server.
Further, the SAS controller 2 is connected with memory cell, server wire communication respectively.
Further, the management node 4 is connected with server wireless telecommunications.
Further, the memory cell is disk 11.
Reference picture 1 and Fig. 2, operation principle of the invention are as follows:
(1), all disks 1 have connection by SAS controller 2 and all servers, and each server can visit
Disk 1 corresponding to asking;
(2), server is by network startup, operating system corresponding to loading.Transported simultaneously according to the configuration in management node 4
Storage server program corresponding to row;
(3), the certain server in cluster can be shut down or be started shooting according to system loading.It is former after server shuts down
Come the 1 turn of server controls by not shutting down of disk controlled by him.Accomplish that server shuts down, and disk 1 is always online.Instead
It, after these servers are started shooting, disk 1 can be migrated on this server, accomplish load balancing.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the scope of the invention, it is every at this
Under the inventive concept of invention, the equivalent structure transformation made using description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in the scope of patent protection of the present invention.
Claims (5)
- A kind of 1. storage architecture for being dynamically adapted number of servers, it is characterised in that including:Some memory cell, SAS controls Device, some servers, management node;All memory cell are through SAS controller and Servers-all communication connection;The management node is configured with server and opens and closes program, and the server opens and closes program and controls server according to system loading Quantity is opened, after a certain server shuts down, the memory cell being originally controlled by it turns the server controls by being currently running;When After increasing a server, server that memory cell equilibrium assignment is newly opened to this.
- 2. the storage architecture according to claim 1 for being dynamically adapted number of servers, it is characterised in that the storage is single The quantity of member is more than the quantity of server.
- 3. the storage architecture according to claim 1 for being dynamically adapted number of servers, it is characterised in that the storage is single Member is disk.
- 4. the storage architecture according to claim 1 for being dynamically adapted number of servers, it is characterised in that the SAS controls Device processed is connected with memory cell, server wire communication respectively.
- 5. the storage architecture according to claim 1 for being dynamically adapted number of servers, it is characterised in that the management section Point is connected with server wireless telecommunications.
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CN201711015846.2A CN107783798A (en) | 2017-10-25 | 2017-10-25 | It is dynamically adapted the storage architecture of number of servers |
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CN201711015846.2A CN107783798A (en) | 2017-10-25 | 2017-10-25 | It is dynamically adapted the storage architecture of number of servers |
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CN201711015846.2A Pending CN107783798A (en) | 2017-10-25 | 2017-10-25 | It is dynamically adapted the storage architecture of number of servers |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102270157A (en) * | 2011-07-25 | 2011-12-07 | 浪潮(北京)电子信息产业有限公司 | Server resource allocation system and method |
CN102811141A (en) * | 2011-06-01 | 2012-12-05 | 鸿富锦精密工业(深圳)有限公司 | Method and system for monitoring running of virtual machines |
CN103188277A (en) * | 2011-12-27 | 2013-07-03 | 中国电信股份有限公司 | Load energy consumption management system, method and server |
US20140215073A1 (en) * | 2013-01-28 | 2014-07-31 | International Business Machines Corporation | Computing optimized virtual machine allocations using equivalence combinations |
CN103973784A (en) * | 2014-05-06 | 2014-08-06 | 浪潮电子信息产业股份有限公司 | Method for effectively utilizing cloud storage server resources |
-
2017
- 2017-10-25 CN CN201711015846.2A patent/CN107783798A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102811141A (en) * | 2011-06-01 | 2012-12-05 | 鸿富锦精密工业(深圳)有限公司 | Method and system for monitoring running of virtual machines |
CN102270157A (en) * | 2011-07-25 | 2011-12-07 | 浪潮(北京)电子信息产业有限公司 | Server resource allocation system and method |
CN103188277A (en) * | 2011-12-27 | 2013-07-03 | 中国电信股份有限公司 | Load energy consumption management system, method and server |
US20140215073A1 (en) * | 2013-01-28 | 2014-07-31 | International Business Machines Corporation | Computing optimized virtual machine allocations using equivalence combinations |
CN103973784A (en) * | 2014-05-06 | 2014-08-06 | 浪潮电子信息产业股份有限公司 | Method for effectively utilizing cloud storage server resources |
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