CN105389196A - Method for processing seismic data by utilizing virtualization technology - Google Patents
Method for processing seismic data by utilizing virtualization technology Download PDFInfo
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- CN105389196A CN105389196A CN201410447816.9A CN201410447816A CN105389196A CN 105389196 A CN105389196 A CN 105389196A CN 201410447816 A CN201410447816 A CN 201410447816A CN 105389196 A CN105389196 A CN 105389196A
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Abstract
Provided is a method for processing seismic data by utilizing virtualization technology. The method comprises following steps: analyzing resource demand characteristics during operation of seismic data software, categorizing seismic data processing applications into different resource demand types according to resource demand characteristics, categorizing nodes into different server types and setting up server models; processing resource demand characteristics of seismic data and optimizing host resource pools and setting up virtual storage and virtual network services suitable for seismic data processing applications; processing the virtual machine template based on seismic data and establishing virtual machine templates, optimizing storage and network drive; and dispatching host resources according to application demands, deploying corresponding virtual servers, forming a virtual cluster to achieve virtualization application of seismic data processing technology. The method for processing seismic data by utilizing virtualization technology has following beneficial effects: by adoption of virtualization technology, overall resource utilization rate of center equipment for processing seismic data is increased; server stability is improved; and operation efficiency of seismic data processing work in the virtualization environmental and the physical environment is up to more than 95%.
Description
Technical field
The present invention relates to Computer Applied Technology field, particularly relate to a kind of method utilizing Intel Virtualization Technology to carry out seism processing.
Background technology
Along with the continuous change of Exploratory situation, characteristic process software is progressively introduced to meet the processing demands of specific geologic condition in the seism processing center of oil play, same Software deployment is on many cover clusters, the situation of same cluster deploy many covers application software gets more and more, application meeting because load imbalance cause resource overall nervous, cannot resource be made full use of.By the method utilizing Intel Virtualization Technology to carry out seism processing, physical cluster is virtualized into multiple Virtual Cluster and disposes different application respectively, realize isolation and the dynamic resource allocation of application, system service high availability and resource utilization are provided.
Summary of the invention
The object of the invention is base area seismic data processing application characteristic and resource requirement feature, a kind of method utilizing Intel Virtualization Technology to carry out seism processing is provided, dispose the virtual machine server and virtual machine node composition Virtual Cluster that meet demand, realize the efficient application of Seismic data processing software under virtualized environment.
The present invention utilizes Intel Virtualization Technology to carry out the method for seism processing, realizes as follows:
Step 1. is seismic data processing running software resource requirement feature analytically, according to resource requirement feature, seism processing application is divided into different resource requirement types, node is divided into different type of servers, sets up server model;
Seismic data processing resource requirement feature in step 2. base area optimizes host resource pond, sets up the virtual store and virtual network service that are suitable for seism processing application;
Step 3. base area seismic data processing server model sets up virtual machine template respectively, and optimizes storage and network-driven;
Step 4., according to application demand dispatching host machine resource, disposes corresponding virtual machine server, and composition Virtual Cluster realizes the virtualization applications of Seismic data processing software.
Such scheme also comprises:
In step 2, according to the analysis result of step 1, virtual store is built up respectively shared system mirrored storage pond, the interim storage pool of naked disk and parallel file system storage pool, network is built up managing virtual network and data virtual network, class-of-service is provided;
In step 3, according to the analysis result of step 1, set up the intensive virtual server of different application CPU, IO intensive virtual server, transactional virtual server respectively, dissimilar virtual server configures storage and the network service combination of different stage in corresponding step 2;
In step 4, according to application resource application characteristic different designs schedule virtual resources strategy, when there being seism processing job run demand, suitable host resource is selected according to job requirements feature and scheduling strategy, application deployment virtual server composition virtual application cluster, service data processing operation.
Such scheme comprises further: in step 2, the optimization method of virtual network passes through network virtualization, realize physical network and virtual network expands network capabilities in the mode of 1:n or m:n, the method utilizing bridge and physical switches to combine realizes vlan and divides and flow control.
In step 4, resource dispatching strategy, for CPU intensive applications, virtual machine server monopolizes main frame money host resource; For transactional application, virtual machine server can surpass and join host resource, and operate in share store on support dynamic migration; For IO intensive applications, virtual machine server configuration actual allocated CPU computing power is less than 50% of virtual rating.
The method directly applies to the virtualization applications of Seismic data processing software, make seism processing job run on a virtual machine, make host resource CPU by step 2 and step 3, internal memory occupation rate controls within 5%, virtual machine operational efficiency is greater than 90% simultaneously.
Method of the present invention on conventional process cluster applying virtual technology by physical resource pond, and resource pool is optimized, set up the resource service of the different grade of service, then the different resource characteristics of demand of base area seismic data processing application server customizes different virtual machine server templates, when there being application resource request in system, scheduler reads resource requirement information and the scale demand information of application request, select corresponding virtual application server and host resource service to carry out virtual application deployment, realize the virtual of seism processing application.The method by physical resource pond by Intel Virtualization Technology application, is achieved the isolation of different application systems, effectively improves the high reliability of application server while realizing different application resource sharing; Reduce physical resource loss by virtual resource optimisation technique, ensured virtual machine operational efficiency, seism processing job virtual environment reaches more than 95% with physical environment job run efficiency ratio simultaneously.The present invention is applied by Intel Virtualization Technology and significantly improves the overall resource utilization of seism processing central apparatus, improves server stability.
Accompanying drawing explanation
Fig. 1 is concrete methods of realizing process flow diagram of the present invention.
Embodiment
For making above and other object of the present invention, feature and advantage can become apparent, cited below particularly go out preferred embodiment, and coordinate institute's accompanying drawings, be described in detail below.
The present invention is realized by following embodiment:
Step 1. combine closely seism processing application resource requirement feature seism processing application node is divided into different type of servers, set up server model respectively.
Step 2. is according to the difference of server and computing node resource requirement, virtual store, virtual network are customized and optimized, set up virtual network and virtual store respectively, provide the resource service of different service class, wherein the optimization method of virtual store and virtual network is as follows:
Storage optimization method: the virtual storage resource pond setting up different stage according to application characteristic respectively: shared storage pool deposits virtual machine image, naked disk storage pond is as data disks, and large-scale parallel file system stores as geological data.
Network optimized approach: by network virtualization, realizes physical network and virtual network expands network capabilities in the mode of 1:n or m:n, and the method utilizing bridge and physical switches to combine realizes vlan and divides and flow control.
Step 3. base area seismic data processing server model sets up virtual machine template respectively, and optimizes storage and network-driven.
Step 4. is according to application resource characteristics of demand, and dispatch application virtual machine operates on suitable host resource respectively, sets up virtual application cluster, realizes the efficient application of Seismic data processing software at virtualized environment.
Reference Fig. 1, Fig. 1 are concrete methods of realizing of the present invention.In step 101, the resource requirement feature of base area seismic data processing application optimizes network, the stored configuration of host computer system, and set up virtual network and virtual storage resource pond, build up the COS of different stage, flow process enters into step 102.
In step 102, carry out application characteristic and resource requirement characteristic analysis, classified by application server for the application of each seism processing, the corresponding a kind of application type of a class server, sets up server model respectively.Flow process enters into step 103;
In step 103, set up virtual machine masterplate respectively according to server model, be optimized simultaneously to the virtual resource of virtual machine template, optimization method as noted earlier.Flow process enters into step 104.
In step 104, registered application, that sets up that virtual machine template serves with host resource associates, setting resource dispatching strategy.Enter into step 105.
In step 105, when user has application demand, according to the demand of user's seism processing operation resource, point application, point calculation features respectively dispatch application virtual machine operate on suitable host resource, set up virtual application cluster.Flow process enters into step 106.
In step 106, now, logging in system by user is applied.Flow process terminates.
Claims (4)
1. utilize Intel Virtualization Technology to carry out the method for seism processing, its feature realizes as follows:
Step 1. is seismic data processing running software resource requirement feature analytically, according to resource requirement feature, seism processing application is divided into different resource requirement types, node is divided into different type of servers, sets up server model;
Seismic data processing resource requirement feature in step 2. base area optimizes host resource pond, sets up the virtual store and virtual network service that are suitable for seism processing application;
Step 3. base area seismic data processing server model sets up virtual machine template respectively, and optimizes storage and network-driven;
Step 4., according to application demand dispatching host machine resource, disposes corresponding virtual machine server, and composition Virtual Cluster realizes the virtualization applications of Seismic data processing software.
2. the method utilizing Intel Virtualization Technology to carry out seism processing according to claim 1, is characterized in that:
In step 2, according to the analysis result of step 1, virtual store is built up respectively shared system mirrored storage pond, the interim storage pool of naked disk and parallel file system storage pool, network is built up managing virtual network and data virtual network, class-of-service is provided;
In step 3, according to the analysis result of step 1, set up the intensive virtual server of different application CPU, IO intensive virtual server, transactional virtual server respectively, dissimilar virtual server configures storage and the network service combination of different stage in corresponding step 2;
In step 4, according to application resource application characteristic different designs schedule virtual resources strategy, when there being seism processing job run demand, suitable host resource is selected according to job requirements feature and scheduling strategy, application deployment virtual server composition virtual application cluster, service data processing operation.
3. the method utilizing Intel Virtualization Technology to carry out seism processing according to claim 2, it is characterized in that: in step 2, the optimization method of virtual network passes through network virtualization, realize physical network and virtual network expands network capabilities in the mode of 1:n or m:n, the method utilizing bridge and physical switches to combine realizes vlan and divides and flow control.
4. the Intel Virtualization Technology that utilizes according to Claims 2 or 3 carries out the method for seism processing, it is characterized in that: in step 4, resource dispatching strategy, and for CPU intensive applications, virtual machine server monopolizes main frame money host resource; For transactional application, virtual machine server can surpass and join host resource, and operate in share store on support dynamic migration; For IO intensive applications, virtual machine server configuration actual allocated CPU computing power is less than 50% of virtual rating.
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| CN112732271A (en) * | 2019-10-14 | 2021-04-30 | 中国石油化工股份有限公司 | Seismic processing software deployment method and system based on SDN technology |
| CN112859166A (en) * | 2019-11-27 | 2021-05-28 | 中国石油天然气集团有限公司 | Seismic data processing method and device |
| CN113535373A (en) * | 2020-04-15 | 2021-10-22 | 中国石油天然气集团有限公司 | Interactive resource allocation method and device for seismic data interpretation |
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