CN106528488B - Computing cluster system and control method in a kind of single machine - Google Patents

Computing cluster system and control method in a kind of single machine Download PDF

Info

Publication number
CN106528488B
CN106528488B CN201610883006.7A CN201610883006A CN106528488B CN 106528488 B CN106528488 B CN 106528488B CN 201610883006 A CN201610883006 A CN 201610883006A CN 106528488 B CN106528488 B CN 106528488B
Authority
CN
China
Prior art keywords
cpu
distribution
services module
network interface
interface card
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.)
Active
Application number
CN201610883006.7A
Other languages
Chinese (zh)
Other versions
CN106528488A (en
Inventor
张辉
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.)
Guangzhou Aimei Network Science & Technology Co Ltd
Original Assignee
Guangzhou Aimei Network Science & 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 Guangzhou Aimei Network Science & Technology Co Ltd filed Critical Guangzhou Aimei Network Science & Technology Co Ltd
Priority to CN201610883006.7A priority Critical patent/CN106528488B/en
Publication of CN106528488A publication Critical patent/CN106528488A/en
Application granted granted Critical
Publication of CN106528488B publication Critical patent/CN106528488B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/16Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
    • G06F15/161Computing infrastructure, e.g. computer clusters, blade chassis or hardware partitioning

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Multi Processors (AREA)
  • Computer And Data Communications (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses computing cluster system and control methods in a kind of single machine, the system includes distribution of services module, muti-piece network interface card, CPU and multiple hard disks, the CPU includes multiple calculating cores, multiple calculating cores of the muti-piece network interface card and CPU correspond multiple calculate nodes in composition single machine, and the CPU is connect with multiple hard disks by data/address bus.The present invention by single machine by multiple calculating cores, multiple Network card setups be multiple calculate nodes, and it is connected and bound with multiple hard disks, the reasonable distribution of application request is realized by distribution of services module, it is realized with a low cost high IO performance and efficient PC cluster in single machine, and perfect can be adapted to multiple access nets.The present invention can be widely applied to data processing field as computing cluster system in a kind of single machine and control method.

Description

Computing cluster system and control method in a kind of single machine
Technical field
The present invention relates to data processing field, computing cluster system and control method in especially a kind of single machine.
Background technique
Current all high-performance, high IO computing cluster are all based on more physical servers, a server conduct One calculate node, to form computing cluster.Due to relying on more physical servers, cost is relatively high.
To solve the above-mentioned problems, in the prior art in a kind of cluster single machine multinode implementation method (CN102999571B) it by disposing multiple nodes on a server, no longer needs to rely on more physical servers, but its side Method only illustrates the multiple nodes and server disk of deployment, is accomplished that the shared of all nodal informations in cluster, solves It is unable to fully the limitation using muti-piece disk, but and increases processing capacity;Especially in the application of mass data IO, Data volume is big due to read-write, miscellaneous more than type, and server is frequently cut between a variety of different data, between read-write operation It changes, leads to that treatment effeciency is low, error rate is high.
Summary of the invention
In order to solve the above-mentioned technical problem, the object of the present invention is to provide high-performance, high IO speed are realized in a kind of single machine The computing cluster system of degree.
In order to solve the above-mentioned technical problem, it is another object of the present invention to: provide and realize high-performance, height in a kind of single machine The computing cluster control method of IO speed.
The technical scheme adopted by the invention is that: computing cluster system in a kind of single machine, include distribution of services module,
Muti-piece network interface card, CPU and multiple hard disks, the CPU include multiple calculating cores, the muti-piece network interface card and CPU's Multiple cores that calculate correspond the multiple calculate nodes formed in single machine, and the CPU and multiple hard disks pass through data/address bus and connect It connects.
Further, the distribution of services module is DNS load balancing module.
Further, the distribution of services module is HTTP scheduler module.
Further, the multiple hard disk is SSD hard disk.
Further, the CPU more calculate each calculating core and at least one piece of hard disk binding in core.
It is of the present invention another solution is that computing cluster control method in a kind of single machine, includes following step It is rapid:
A, the CPU in single machine is calculated to core more connects the multiple calculate nodes of composition, each calculate node with muti-piece network interface card It include that a CPU calculating core and one piece of network interface card, each calculate node at least bind one piece of hard disk;
B, distribution of services module obtains application request, and request content is sent to corresponding calculate node;
C, the network interface card in calculate node receives request content and is forwarded to corresponding CPU calculating core and handled, then It is written and read by hard disk of the data/address bus to binding.
Further, the CPU of each calculate node calculates core and is provided with origin server mark in the step A, described Origin server is identified for distinguishing application request source.
Further, the step B specifically: distribution of services module obtains application request, and by request content through overload Corresponding calculate node is sent to after balanced or HTTP scheduling.
Further, the step B specifically includes following sub-step:
B1, distribution of services module obtain application request;
Application request source is sent to CPU by the network interface card of each calculate node and calculates core by B2, distribution of services module;
B3, CPU calculate core and indicate to compare by application request source and origin server, and comparing result is identical CPU It calculates core and passes through network interface card feedback result to distribution of services module;
B4, distribution of services module are fed back according to above-mentioned steps B3 is sent to corresponding net for the request content of application request Card.
Further, the CPU of each calculate node calculates core and is additionally provided with dispatching priority mark, institute in the step A State step B4 specifically:
If having multiple CPU to calculate core in step B3 passes through network interface card feedback result to distribution of services module, distribution of services Module identifies according to above-mentioned dispatching priority the request content of application request being sent to corresponding network interface card.
The beneficial effects of the present invention are: multiple calculating cores, multiple Network card setups are more in single machine by present system A calculate node, and connected and bound with multiple hard disks, the reasonable distribution of application request, low cost are realized by distribution of services module It realizes high IO performance and efficient PC cluster in single machine, and perfect can be adapted to multiple access nets.
Another beneficial effect of the present invention is: the method for the present invention is in single machine by multiple calculating cores, multiple Network card setups It for multiple calculate nodes, and is connected and bound with multiple hard disks, the reasonable distribution of application request is realized by distribution of services module, it is low Cost realizes high IO performance and efficient PC cluster in single machine, and perfect can be adapted to multiple access nets.
Detailed description of the invention
Fig. 1 is system structure schematic block diagram in single machine in the present invention;
Fig. 2 is cluster control method flow chart of steps in single machine in the present invention.
Specific embodiment
Specific embodiments of the present invention will be further explained with reference to the accompanying drawing:
Referring to Fig.1, computing cluster system in a kind of single machine, include distribution of services module,
Muti-piece network interface card, CPU and multiple hard disks, the CPU include multiple calculating cores, the muti-piece network interface card and CPU's Multiple cores that calculate correspond the multiple calculate nodes formed in single machine, and the CPU and multiple hard disks pass through data/address bus and connect It connects.
The CPU can be used: 1, multiple processors, and each processor is as a calculating core;2, multi-core processor is made For multiple calculating cores;3, other more calculating core technologies.
It is further used as preferred embodiment, the distribution of services module is DNS load balancing module.
It is further used as preferred embodiment, the distribution of services module is HTTP scheduler module.
It is further used as preferred embodiment, the multiple hard disk is SSD hard disk.
It is further used as preferred embodiment, the CPU more calculate in cores each calculatings core and at least one piece Hard disk binding.
Referring to Fig. 2, computing cluster control method in a kind of single machine, wherein computing cluster system structure can refer to figure in single machine 1, include following steps:
A, the CPU in single machine is calculated to core more connects the multiple calculate nodes of composition, each calculate node with muti-piece network interface card It include that a CPU calculating core and one piece of network interface card, each calculate node at least bind one piece of hard disk;
CPU calculating core amounts wherein in single machine are expansible, and network interface card quantity is increase accordingly, and hard disk quantity can also be correspondingly Increase.
B, distribution of services module obtains application request, and request content is sent to corresponding calculate node;
C, the network interface card in calculate node receives request content and is forwarded to corresponding CPU calculating core and handled, then It is written and read by hard disk of the data/address bus to binding;
The CPU, which calculates core, can bind one or more hard disk, but one piece of hard disk only binds unique calculating core;Meter Calculating can be bound between core and hard disk by simple mapping relations, when the calculating core bound in the hard disk is not utilized, Binding relationship can be adjusted flexibly, I/O operation amount is more, frequent higher calculating core to be assigned to.
It is further used as preferred embodiment, the CPU of each calculate node calculates core and be provided in the step A Source server mark, the origin server mark is for distinguishing application request source.
Each node in single machine only handles corresponding data source, calculates core appointing in calculating process to reduce Business handoff procedure, improves processing capacity and I/O rate.
It is further used as preferred embodiment, the step B specifically: distribution of services module obtains application request, and Request content is sent to corresponding calculate node after load balancing or HTTP scheduling.
For example, by using DNS load-balancing technique, the two-wire that computing cluster system deployment as shown in Figure 1 arrives is most common double In line computer room, calculate node A(includes network interface card A and calculates core A) connect by the network interface card A of oneself network of telecommunications, calculating Node B accordingly by network interface card B connection connection network, by the scheduling of DNS, so that the user of telecommunications accesses calculate node User's accessed node of A, connection calculate B, and whole computer can be made to reach the maximum utilization of resources, including network I/O, magnetic Disk IO and CPU etc..
It is further used as preferred embodiment, the step B specifically includes following sub-step:
B1, distribution of services module obtain application request;
Application request source is sent to CPU by the network interface card of each calculate node and calculates core by B2, distribution of services module;
B3, CPU calculate core and indicate to compare by application request source and origin server, and comparing result is identical CPU It calculates core and passes through network interface card feedback result to distribution of services module;
B4, distribution of services module are fed back according to above-mentioned steps B3 is sent to corresponding net for the request content of application request Card.
It is further used as preferred embodiment, the CPU of each calculate node calculates core and is additionally provided in the step A Dispatching priority mark, the step B4 specifically:
If having multiple CPU to calculate core in step B3 passes through network interface card feedback result to distribution of services module, distribution of services Module identifies according to above-mentioned dispatching priority the request content of application request being sent to corresponding network interface card.The dispatching priority It can be set according to access frequency.
It is to be illustrated to preferable implementation of the invention, but the invention is not limited to the implementation above Example, those skilled in the art can also make various equivalents on the premise of without prejudice to spirit of the invention or replace It changes, these equivalent deformations or replacement are all included in the scope defined by the claims of the present application.

Claims (8)

1. computing cluster system in a kind of single machine, it is characterised in that: include distribution of services module, muti-piece network interface card, CPU and multiple Hard disk, the CPU include multiple calculating cores, multiple calculating cores one-to-one correspondence composition list of the muti-piece network interface card and CPU Multiple calculate nodes in machine, the CPU are connect with multiple hard disks by data/address bus;
Each calculate node at least binds one piece of hard disk;
Request content is sent to corresponding calculate node for obtaining application request by the distribution of services module;
The network interface card is used for the request content received and is forwarded to corresponding CPU calculating core;
The CPU calculates core for handling the request content received, and by data/address bus to the hard disk of binding It is written and read;
Each CPU calculates core and is provided with origin server mark, and the origin server mark is for distinguishing application request Source;
Request content is sent to corresponding calculate node especially by following steps by the distribution of services module:
Application request source is sent to CPU by the network interface card of each calculate node and calculates core by distribution of services module;
CPU calculates core and indicates to compare by application request source and origin server, and comparing result is that identical CPU calculates core Pass through network interface card feedback result to distribution of services module;
The request content of application request is sent to corresponding network interface card according to the feedback that CPU calculates core by distribution of services module.
2. computing cluster system in a kind of single machine according to claim 1, it is characterised in that: the distribution of services module is DNS load balancing module.
3. computing cluster system in a kind of single machine according to claim 1, it is characterised in that: the distribution of services module is HTTP scheduler module.
4. computing cluster system in a kind of single machine according to claim 1, it is characterised in that: the multiple hard disk is SSD Hard disk.
5. computing cluster system in a kind of single machine according to claim 1, it is characterised in that: the CPU more calculate core Each calculating core is bound at least one piece of hard disk in the heart.
6. computing cluster control method in a kind of single machine, which is characterized in that include following steps:
A, the CPU in single machine is calculated to core more connects the multiple calculate nodes of composition with muti-piece network interface card, each calculate node includes There are a CPU calculating core and one piece of network interface card, each calculate node at least to bind one piece of hard disk;
B, distribution of services module obtains application request, and request content is sent to corresponding calculate node;
C, the network interface card in calculate node receives request content and is forwarded to corresponding CPU calculating core and handled, and then passes through Data/address bus is written and read the hard disk of binding;
The CPU of each calculate node calculates core and is provided with origin server mark, the origin server mark in the step A Know for distinguishing application request source;
The step B specifically includes following sub-step:
B1, distribution of services module obtain application request;
Application request source is sent to CPU by the network interface card of each calculate node and calculates core by B2, distribution of services module;
B3, CPU calculate core and indicate to compare by application request source and origin server, and comparing result is identical CPU calculating Core passes through network interface card feedback result to distribution of services module;
B4, distribution of services module are fed back according to above-mentioned steps B3 is sent to corresponding network interface card for the request content of application request.
7. computing cluster control method in a kind of single machine according to claim 6, which is characterized in that the step B is specific Are as follows: distribution of services module obtains application request, and request content is sent to accordingly after load balancing or HTTP scheduling Calculate node.
8. computing cluster control method in a kind of single machine according to claim 6, it is characterised in that: every in the step A The CPU of a calculate node calculates core and is additionally provided with dispatching priority mark, the step B4 specifically:
If having multiple CPU to calculate core in step B3 passes through network interface card feedback result to distribution of services module, distribution of services module It is identified according to above-mentioned dispatching priority and the request content of application request is sent to corresponding network interface card.
CN201610883006.7A 2016-10-09 2016-10-09 Computing cluster system and control method in a kind of single machine Active CN106528488B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610883006.7A CN106528488B (en) 2016-10-09 2016-10-09 Computing cluster system and control method in a kind of single machine

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610883006.7A CN106528488B (en) 2016-10-09 2016-10-09 Computing cluster system and control method in a kind of single machine

Publications (2)

Publication Number Publication Date
CN106528488A CN106528488A (en) 2017-03-22
CN106528488B true CN106528488B (en) 2019-07-16

Family

ID=58331243

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610883006.7A Active CN106528488B (en) 2016-10-09 2016-10-09 Computing cluster system and control method in a kind of single machine

Country Status (1)

Country Link
CN (1) CN106528488B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101631139A (en) * 2009-05-19 2010-01-20 华耀环宇科技(北京)有限公司 Load balancing software architecture based on multi-core platform and method therefor
CN102999571A (en) * 2012-11-09 2013-03-27 深圳市宜搜科技发展有限公司 Realizing method for multiple nodes of single computer in cluster
CN103634344A (en) * 2012-08-23 2014-03-12 阿里巴巴集团控股有限公司 Method and apparatus for unit operation multiple MySQL database examples

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101631139A (en) * 2009-05-19 2010-01-20 华耀环宇科技(北京)有限公司 Load balancing software architecture based on multi-core platform and method therefor
CN103634344A (en) * 2012-08-23 2014-03-12 阿里巴巴集团控股有限公司 Method and apparatus for unit operation multiple MySQL database examples
CN102999571A (en) * 2012-11-09 2013-03-27 深圳市宜搜科技发展有限公司 Realizing method for multiple nodes of single computer in cluster

Also Published As

Publication number Publication date
CN106528488A (en) 2017-03-22

Similar Documents

Publication Publication Date Title
US20210289030A1 (en) Methods, systems and devices for parallel network interface data structures with differential data storage and processing service capabilities
US10412021B2 (en) Optimizing placement of virtual machines
US11573831B2 (en) Optimizing resource usage in distributed computing environments by dynamically adjusting resource unit size
US9633054B2 (en) Providing a database as a service in a multi-tenant environment
US9882985B1 (en) Data storage path optimization for internet of things computing system
Tang et al. The impact of data replication on job scheduling performance in the data grid
JP2018088293A (en) Database system providing single tenant environment and a plurality of tenant environments
US9998531B2 (en) Computer-based, balanced provisioning and optimization of data transfer resources for products and services
WO2015096681A1 (en) Method and device for processing service access
CN103338252B (en) Realizing method of distributed database concurrence storage virtual request mechanism
US9161064B2 (en) Auto-scaling management of web content
US10776141B2 (en) Directed placement for request instances
US8898422B2 (en) Workload-aware distributed data processing apparatus and method for processing large data based on hardware acceleration
JP2017514243A (en) Coordinated admission control for network accessible block storage
CN110830604B (en) DNS scheduling method and device
Hu et al. Towards" full containerization" in containerized network function virtualization
Ma et al. vLocality: Revisiting data locality for MapReduce in virtualized clouds
WO2024016596A1 (en) Container cluster scheduling method and apparatus, device, and storage medium
WO2021258512A1 (en) Data aggregation processing apparatus and method, and storage medium
Wu et al. iShare: Balancing I/O performance isolation and disk I/O efficiency in virtualized environments
CN106528488B (en) Computing cluster system and control method in a kind of single machine
CN107239341B (en) Resource conversion method and system and virtual machine resource scheduling system
US10630767B1 (en) Hardware grouping based computing resource allocation
Yu et al. Performance studies of a websphere application, trade, in scale-out and scale-up environments
Han et al. A locality live migration strategy based on docker containers

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant