KR20160032333A - System and Method for Integrated management of Genome Analysis Clustering Infrastructure on IT Cloud service - Google Patents

System and Method for Integrated management of Genome Analysis Clustering Infrastructure on IT Cloud service Download PDF

Info

Publication number
KR20160032333A
KR20160032333A KR1020140122022A KR20140122022A KR20160032333A KR 20160032333 A KR20160032333 A KR 20160032333A KR 1020140122022 A KR1020140122022 A KR 1020140122022A KR 20140122022 A KR20140122022 A KR 20140122022A KR 20160032333 A KR20160032333 A KR 20160032333A
Authority
KR
South Korea
Prior art keywords
infrastructure
integrated
work
procedure
cloud
Prior art date
Application number
KR1020140122022A
Other languages
Korean (ko)
Inventor
김진식
Original Assignee
주식회사 케이티
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 주식회사 케이티 filed Critical 주식회사 케이티
Priority to KR1020140122022A priority Critical patent/KR20160032333A/en
Publication of KR20160032333A publication Critical patent/KR20160032333A/en

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Biology (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioethics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • Evolutionary Computation (AREA)
  • Public Health (AREA)
  • Software Systems (AREA)
  • Stored Programmes (AREA)

Abstract

The present invention relates to an integrated processing system for managing a clustering infrastructure for a genome analysis based on a cloud and an integrated processing method for managing a clustering infrastructure for a genetic analysis using the same, An API unit for calling the job processing unit according to the information; A task processor for determining an integrated task procedure for setting up and configuring a cluster infrastructure and a genetic analysis S / W based on the request information; An installation work unit for configuring a cluster infrastructure on a target server according to the integrated work procedure and performing integration work for installing and setting a dielectric analysis software; And a work procedure storage unit storing an integrated work procedure for each product or work type. The integrated processing system for managing the clustering infrastructure for genome analysis based on cloud and the integrated processing method for clustering for genetic analysis using the same According to the present invention, by integrating the cluster infrastructure construction work for the dielectric analysis and the installation and setting work of the dielectric analysis S / W and operating it as a work procedure management system, the operation cost of the overall system can be reduced, Management of the infrastructure becomes possible.

Description

[0001] The present invention relates to an integrated processing system for managing clustering infrastructure for cloud-based genome analysis, and an integrated processing method for managing clustering infrastructure for genome analysis using the integrated processing system.

The present invention relates to an integrated processing system for management of clustering infrastructure for cloud-based genetic analysis and an integrated processing method for management of clustering infrastructure for genetic analysis using the same. More particularly, the present invention relates to a method for generating and adding a genetic analysis infrastructure on a cloud infrastructure , Reduction and deletion, etc., in a short time and at a minimum cost.

Since the complete decryption project on the human gene, named Genome Project, was successfully terminated in 2003, the corresponding genetic analysis technology has evolved to decode many genetic information about the patient, even under 1,000 USD. To reach the level of technology that can be achieved. These genetic analysis technologies and services are expected to greatly change the lives of humankind in various fields through customized medicine by gene, diagnosis and prescription, lifestyle guide.

Genetic analysis is considered to require the use of a clustering infrastructure consisting of multiple servers as large amounts of data need to be processed. To this end, service providers such as Amazon, Google and KT are built on cloud-based management that is easy to manage and expand Clustering products are being released. In general, cloud services can be used to allocate and return information technology (IT) resources such as virtual machines, networks, and storage devices according to need, so that they can be analyzed at low cost. Therefore, And is being adopted as a basis for providing clustering infrastructure in the field.

In addition, cloud service providers are providing ways to automate these tasks by providing an API (Application Programming Interface) to enable IT resources management without manual intervention in external services such as genetic analysis cluster providers.

However, in order to actually serve the clustering infrastructure for genetic analysis for various customers, in addition to automatic execution of allocation of IT resources such as virtual machine creation, network resource and storage resource allocation provided by the cloud service, It needs to be installed and set separately. This is because it is difficult to construct and manage the genome analysis clustering infrastructure using only the API provided by the cloud service, and the tasks of installing and managing various genome analysis clustering software suited to the purpose of the genome analysis and trends must be separately performed. In other words, it is necessary to install various S / Ws for various genetic analysis on a large number of servers, and to perform setting work according to the structure, and to manage after addition, modification, deletion, etc., There is a problem that the operation of the service is practically difficult only by the simple script management.

Therefore, the service type that provides the logic for the process of assigning cloud resources using existing APIs and the logic for installing and configuring the S / W for the genetic analysis separately and separately is a form of managing the complexity of the overall system management And further impeding the timely and cost-effective provisioning of analytical clustering infrastructures to meet changing user requirements. In particular, since the S / W for genetic analysis is mostly written in different computer languages, it is similar to the situation where two complex modules are processed separately.

In order to accomplish consistent and rapid infrastructure configuration management, system structure and method for integrated management such as IT resource allocation and S / W installation are needed.

Disclosure of Invention Technical Problem [8] Accordingly, the present invention has been made to solve the problems of the prior art as described above, and provides a method for integrating and managing tasks such as IT resource allocation and S / W installation for easy and quick cluster infrastructure management for genome analysis The main purpose is to do.

In particular, when constructing the genome analysis cluster infrastructure, besides the automatic execution of allocation of IT resources, S / W for the genome analysis should be installed and set up separately. Simply, the API provided by the cloud service, And to solve the inconvenience of separately installing and managing various genetic analysis clustering software according to the purpose of the genome analysis and trends.

In addition, it may be necessary to modify or delete the configuration in order to use the genetic analysis cluster infrastructure already configured by the user. In this case, since cloud resource creation and S / W installation and change occur in a complex manner, So that it is not easy to modify or delete the configuration.

According to an aspect of the present invention, there is provided an integrated processing system for managing a clustering infrastructure for a genome analysis based on cloud, comprising: receiving request information for constructing a genome analysis cluster infrastructure from a user; An API part for performing A task processor for determining an integrated work procedure for installing and configuring a cluster infrastructure and a genetic analysis S / W based on the request information; An installation work unit for configuring a cluster infrastructure on a target server according to the integrated work procedure and performing integration work for installing and setting a dielectric analysis software; And a work procedure storage unit storing an integrated work procedure for each product or work type.

Preferably, the system further includes a cluster status and procedure mapping information storage unit storing status information of a currently configured genome analysis cluster infrastructure, configuration of a cluster infrastructure, and operation procedure codes for setting and setting of a genetic analysis software, Determines the current status of the genetic analysis cluster infrastructure currently configured in the cluster status and procedure mapping information storage unit, determines the operation procedure code corresponding to the request information, and transmits the operation procedure code to the installation operation unit, The installation operation unit may load the integrated operation procedure corresponding to the operation procedure code in the operation procedure storage unit.

Furthermore, the installation work unit may include an installation work execution unit for controlling the installation and setting work of the configuration of the cluster infrastructure and the dielectric analysis software according to the integrated work procedure; A cloud VM creation calling unit for creating a cloud VM in the target server; A cloud storage creation call unit for creating a cloud storage in the target server; A cloud network resource allocation calling unit for allocating network resources to the target server; An S / W installer for installing a dielectric analysis software on the target server; And an S / W setting unit for setting a dielectric analysis S / W installed in the target server.

And a cloud resource management processing server for further generating and managing cloud resources, wherein the installation worker calls the cloud resource management processing server to configure the cluster infrastructure in the target server.

Here, the integrated work procedure procedure may include a procedure for integrating operations for setting up and configuring VM configuration, virtual storage creation, network resource allocation, or dielectric analysis software for configuration of a genome analysis cluster infrastructure.

The work procedure code may be a code relating to a work procedure mapped to a genetic analysis cluster infrastructure corresponding to the request information by product or work type.

According to another aspect of the present invention, there is provided an integrated processing method for managing a clustering infrastructure for genetic analysis, the method comprising: receiving a request for configuration of a genome analysis cluster infrastructure from a user; A work procedure confirmation step of confirming an integrated work procedure procedure for performing a configuration operation of a cluster infrastructure corresponding to the request information and installation and setting of a genetic analysis software; And an integrated task performing step of configuring the cluster infrastructure and performing integration work on the installation and configuration of the genome analysis software on the target server according to the confirmed integrated work procedure to configure the genome analysis cluster infrastructure.

Preferably, the step of confirming the work procedure includes checking the configuration of the cluster infrastructure mapped to each product or operation type of the genome analysis cluster infrastructure corresponding to the request information, and the operation procedure code for installation and setting of the genome analysis software ; And loading an integrated work procedure corresponding to the work procedure code.

In addition, performing the integrated operation may include: generating a cloud VM, a cloud storage, or a network resource to the target server by calling the cloud resource management processing server according to the integrated operation procedure; And installing and setting the dielectric analysis software on the target server according to the integrated operation procedure.

The request information further includes modification and deletion information of the currently configured genetic analysis cluster infrastructure, and the operation procedure confirmation step includes: checking status information of the currently configured genome analysis cluster infrastructure; Determining a configuration of a cluster infrastructure or a work procedure code for installation and setting of a genetic analysis S / W mapped for each product or work type corresponding to the request information based on the status information; And loading an integrated operation procedure corresponding to the operation procedure code, wherein the integrated operation performing step includes performing a modification and deletion operation on the genome analysis cluster infrastructure configured in the target server according to the integrated operation procedure .

In accordance with the present invention, a cluster infrastructure construction work for a dielectric analysis and a dielectric analysis S / W installation and setting work are integrated and operated as a single work procedure management system, so that the overall operation cost of the system can be reduced, Management of the analysis cluster infrastructure becomes possible.

In particular, version management for various configuration tasks that are difficult to implement in the past can be performed. Since cloud resource allocation and modification and S / W installation and change are integrated through one integrated work procedure procedure, version upgrade or new product or configuration In order to perform the addition or deletion function, only the version of the procedure is managed, so that the past configuration can be easily managed. This reduces the cost of automating and managing future deletion and configuration changes.

It also facilitates management of the expansion and shrinking of the overall cluster infrastructure. The cluster infrastructure may require the customer to increase or decrease the configuration as required. In such a case, cloud resource creation and software installation and change occur in a complex manner. However, in the present invention, It is possible to freely increase or decrease the configuration irrespective of the back and forth order between the cloud resource creation and the S / W installation.

Furthermore, the present invention can easily cope with the configuration, change, deletion, and the like of the genome analysis cluster infrastructure according to the change of the amount of analysis target of the customer or the analysis method, by simply changing or adding the integrated operation procedure document. It is the basis for maintaining price competitiveness even in an environment where the analytical infrastructure is constantly changing. Especially, it provides an easier management structure in providing a cluster infrastructure in which the installation and configuration of the S / W that adds more value to the cloud service providing the virtual machine is completed.

FIG. 1 illustrates a configuration of an embodiment to which an integrated processing system for managing a clustering infrastructure for cloud-based genetic analysis according to the present invention is applied,
FIG. 2 illustrates a configuration of an installation work unit of an integrated processing system for managing a clustering infrastructure for cloud-based genetic analysis according to an embodiment of the present invention,
3 shows a flowchart of an embodiment of an integrated processing method for managing a clustering infrastructure for cloud-based genetic analysis according to the present invention,
FIG. 4 is a flowchart illustrating an embodiment of a cluster infrastructure configuration and a genetic analysis software installation / setting in an integrated processing method for management of clustering infrastructure for cloud-based genetic analysis according to the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings.

First, the terminology used in the present application is used only to describe a specific embodiment, and is not intended to limit the present invention, and the singular expressions may include plural expressions unless the context clearly indicates otherwise. Also, in this application, the terms "comprise", "having", and the like are intended to specify that there are stated features, integers, steps, operations, elements, parts or combinations thereof, But do not preclude the presence or addition of features, numbers, steps, operations, components, parts, or combinations thereof.

In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In constructing the infrastructure for the genome analysis on the cloud infrastructure, it manages the work such as creation, addition, reduction or deletion of the infrastructure through the integrated work procedure procedure for various products or work types, A clustering integrated processing method for a dielectric analysis is disclosed.

FIG. 1 illustrates a configuration of an embodiment in which an integrated processing system for management of a clustering infrastructure for cloud-based genetic analysis according to the present invention is applied.

The cloud or cloud infrastructure used in the present invention is collectively referred to as IaaS (Infrastructure Service), which refers to a series of services that supply computing resources such as virtual machines, networks, and storage in the form of services. Amazon and Google provide such cloud services, and in Korea, KT offers services under the trade name ucloud.

Using this cloud infrastructure, the present invention provides a genome analysis cluster infrastructure as an IT infrastructure used to acquire various information necessary for grasping the sequence, mutation, and the meaning of the mutation through genome analysis of a living organism And a method for providing the same.

Referring to FIG. 1, an integrated processing system 100 for managing a clustering infrastructure for genetic analysis of a cloud includes an API (Application Programming Interface) that receives a request for configuration of a clustering infrastructure for genetic analysis from an external module 200, (110), a task processor (120) for calling a setup task (130) according to a request and performing a task type specific procedure, and a task processor (120) And an installation work unit 130 for allocating IT resources to the server 400 and installing a genetic analysis software. In addition, the information processing unit 120 may be configured to include the task procedure information and the infrastructure installation status information in the job processing unit 120 Provided is a cluster status and procedure mapping information storage unit 140, S / W required for cluster infrastructure configuration, and S / W having various types of dielectric analysis S / W Store the book 150 and the actual type of each task integration procedure and may include a working procedure storage unit 160 for providing the operation procedure information when necessary.

The integrated processing system 100 for managing a cluster-based clustering infrastructure for genetic analysis receives a request for a corresponding genetic analysis clustering infrastructure from an external module 200, wherein the external module 200 allows a user to configure a genome analysis cluster infrastructure Or may be a configuration included in the integrated processing system 100 for cluster infrastructure management for cloud-based genetic analysis.

The cloud resource management processing server 300 also provides a cloud management API for creation of a cluster infrastructure for genetic analysis, which may be located inside the integrated processing system 100 for cluster infrastructure management for genetic analysis, It is a server that handles IT resource management for genome analysis cluster infrastructure. It is provided in various API server form in Amazon or KT as described above. Typically, the service is provided through a standard called CloudStack API. Such a requesting method can be provided through a certain standard in the technical field of the present invention.

The installation target server 400 may be a virtual server group as a group of virtual machines or storage created by a call of the cloud resource management processing server 300. [

The API unit 110 firstly generates a genetic analysis cluster infrastructure from a user through an external module 200. The integrated processing system 100 includes an external module 200, A parameter for configuring a genetic analysis cluster infrastructure, a number of virtual servers, an analysis type, a type of a virtual server, and the like, And additional information for determining the configuration type such as the virtual disk capacity.

Here, the API unit 110 may be provided as a separate server or library in actual implementation, but may be configured in various forms that can be called for management of the cluster infrastructure and then performed necessary work procedures.

The task processing unit 120 is a means for processing a task requested by the API unit 110 according to a product type or an operation type and for giving a response to the API unit 110 again. For example, in the case of a request for inquiry of the cluster infrastructure, the cluster status and procedure mapping information storage unit 140 reads and responds to the installation status of the specified genome analysis cluster infrastructure, and when requesting installation, modification, And then transmits the unique code to the installation work unit 130 so that the installation work unit 130 can manage the IT resource allocation and the genome analysis of the genome analysis cloud infrastructure The S / W installation and setting operation is performed, and the operations such as changing or deleting such configurations are performed, and the result is processed.

The installation operation unit 130 loads the integrated operation procedure specified for each product or operation type in the operation procedure storage unit 160 and loads the necessary dielectric analysis software in the software storage unit 150, The installation, modification, and deletion of the genome analysis cluster infrastructure as specified in

The installation work unit 130 may be an IT automation tool or a workflow engine as a kind of installation / operation solution. The installation work unit 130 may include a specified operation language It can be a solution to do. For example, commercial commercial solutions such as HP's HP OO (Operation Orchestration), and OpenSource-based solutions such as Ansible, Puppet, and Chef can be applied. Or may be fabricated as a separate solution to suit the invention. These solutions perform tasks specified by a separately created installation script, or work procedure, which can be written and executed in a similar fashion to that of a Linux operating system (LINUX OS) or a UNIX shell script have.

The cluster status and procedure mapping information storage unit 140 stores the operation procedure code for each request and returns the mapping relationship when calling for the job from the job processing unit 120 so that the installation operation unit 130 actually transmits the corresponding integration operation In addition, when a request to install, change, or delete a genome analysis cluster infrastructure is completed, a kind of database (a database storing the status of the updated genome analysis cluster infrastructure) DB).

The S / W storage unit 150 stores necessary S / W such as external S / W required for cluster configuration such as installation and change of the dielectric analysis cluster infrastructure and various dielectric analysis S / W. 130 to load and store the S / W in the server 400 to be installed and set in the server 400 when proceeding with the request-specific operation. 1, the S / W storage unit 150 is shown to be configured in the system, but may be configured to be used in conjunction with a plurality of S / W management servers outside the system depending on the situation.

The work procedure storage unit 160 stores the integrated work procedures for constructing the genome analysis cluster infrastructure and provides the corresponding integrated work procedures as needed. The integrated work procedure procedures are classified into products for the genome analysis cluster infrastructure or genome analysis The integrated work procedures can be described in a different type of format according to the installation work unit 130. The script of the integrated work procedure can be described as a script of the integrated work procedure, In order to create a virtual machine in the cloud infrastructure or to install and configure the software.

In addition, when a new product is created or an existing product is changed in the genome analysis cluster infrastructure, the corresponding operation procedure code of the cluster status and procedure mapping information storage unit 140 is modified according to the product or operation type, It is possible to easily and quickly provide the service according to the modification of the contents of the related integration work procedure of the server 160.

In the present invention, the process of managing the genetic analysis cluster infrastructure according to the integrated work procedure procedure is performed in the installation work unit 130, and the integrated processing system for managing the clustering infrastructure for cloud-based genetic analysis according to the present invention shown in FIG. The construction of which will be described with reference to an embodiment.

As described above, the installation work unit 130 is equipped with various call units that can utilize the respective IT resource management APIs of the genetic analysis cloud infrastructure. The call unit is called according to the integrated work procedure procedure to allocate IT resources from the cloud infrastructure, Changes, deletes, and other S / W installation procedures are performed as specified in the integrated work procedures. Usually, SSH (Secure Shell) to connect to the server and shell commands to perform the work procedure is usually done.

As an example of the installation work unit 130, as shown in FIG. 2, a separate call unit for each cloud command is provided to execute commands for the cloud infrastructure around the installation work execution unit 131, W installation work and VM operation can be integrated and operated. As an example, the cloud VM creation call unit 132, the cloud storage creation call unit 133, the cloud network resource allocation calling unit 134, the S / W installation execution Unit 135, a S / W setting unit 136, and the like.

The installation task performing unit 131 manages and controls the configuration of the cluster infrastructure and the installation and setting operation of the dielectric analysis software as a whole according to the integrated operation procedure.

The cloud VM creation call unit 132 calls the cloud resource management processing server 300 to create a cloud VM in the target server 400 and the cloud storage creation call unit 133 calls the cloud resource management processing server 300, And the cloud network resource allocation calling unit 134 calls the cloud resource management processing server 300 to allocate network resources to the target server 400. [

Also, the S / W installation execution unit 135 installs the dielectric analysis software on the target server 400, and the software configuration unit 136 sets the dielectric analysis software installed on the target server 400 as the optimal Environment.

Here, each calling unit may be a small module that enables a call for each API type for managing the cloud IT resource to be performed by a work process procedure solution of the installation task performing unit 131, and may be a shell script type Or it can be a command executor based on the type supported by each work process procedure solution. The command executor receives the necessary parameters and accesses the designated cloud resource management processing server 300 to perform a management command for the cloud virtual resource, for example, to create, change, delete, and confirm the cloud virtual resource and provides the corresponding response to the caller. (CloudStack API), and so on.

In addition, in the case of Ansible, the callers can be produced in the form of a separate library called a module and can be supported by a method of creating individual shell scripts for each solution. A request module may be separately prepared to replace the various calling units.

In the case of managing a genome analysis cluster infrastructure through the installation work unit 130, the work can be performed according to the integrated work procedure procedure. Also, when a new product or existing product is changed or modified in the genome analysis cluster infrastructure, The creation of the cluster infrastructure and the related S / W installation work can be integrated and controlled by newly creating or modifying only the integrated operation procedure in the storage unit 160. The results of these operations are stored in the cluster status and procedure mapping information storage unit 140 for each product or each operation type, and referenced in future inquiry requests.

As described above, the integrated processing system for managing a clustering infrastructure for genetic analysis of a cloud according to the present invention includes an installation work unit for performing work by a separately described procedure, and the cloud resource management is called It is possible to manage the genome analysis cluster infrastructure through the installation work department by integrating the management work of the cluster infrastructure and the installation and setting work of the related S / It is possible to easily manage the entire work by merely changing the integrated work procedure.

The present invention also provides an integrated processing method for management of a clustering infrastructure for cloud-based genetic analysis using an integrated processing system for management of clustering infrastructure for genetic analysis based on cloud according to the present invention. The integrated processing method for managing the clustering infrastructure for genome analysis based on the cloud will be described with reference to the embodiments.

FIG. 3 shows a flowchart of an embodiment of an integrated processing method for management of a clustering infrastructure for cloud-based genetic analysis according to the present invention.

The integrated processing method for managing the clustering infrastructure for genetic analysis based on the cloud according to the present invention is implemented through the integrated processing system for management of the clustering infrastructure for cloud based genetic analysis according to the present invention, An embodiment of an integrated processing system for managing a clustering infrastructure for a server is also referred to.

When the API unit 110 receives the configuration request of the genome analysis cluster infrastructure through the external module 200 (S110), the API unit 110 transmits the request and the corresponding factor to the job processing unit 120.

The task processing unit 120 confirms the inherent code according to the work procedure to be used for each product or work type of the requested work in the cluster status and procedure mapping information storage unit 140 at step S120 and transmits the confirmed unique code to the installation work unit 130 ). Here, the cluster status and procedure mapping information storage unit 140 has a unique code corresponding to the integrated operation procedure procedure for managing the genome analysis cluster infrastructure by product type or operation type, and the task processing unit 120 stores the cluster status and procedure mapping However, it is also possible to check the integrated work procedure corresponding to the unique code in the work procedure storage unit 160 and deliver it to the installation work unit 130. [

Then, the installation work unit 130 loads the integrated work procedure procedure in the work procedure storage unit 160 and calls the cloud resource management processing server 300 according to the procedure specified in the integrated work procedure procedure, The cluster infrastructure is configured (S140). As described above with reference to FIG. 2, in the process of configuring the cluster infrastructure in the installation work unit 130, various callers call the cluster resource management processing server 300 around the installation task execution unit 131, ), The cluster infrastructure can be configured by performing VM creation, storage creation, network resource allocation, and the like.

Then, the installation work unit 130 loads the related S / W in the S / W storage unit 150 according to the integrated operation procedure and installs the relevant S / W in the target server 400 and sets the environment to an appropriate environment. Here, the task of installing and setting the related S / W in the target server 400 is performed by the S / W installation executing unit 135 and the S / W setting unit 136 of the installation working unit 130, And can be performed under the control of the installation task performing unit 131.

Further, the requested operation may be to construct a new genome analysis cluster infrastructure, or it may be a modification to a previously configured genome analysis cluster infrastructure, and perform the corresponding tasks according to the integrated operation procedure for each task.

Through the above process, the requested genetic analysis cluster infrastructure is configured (S160).

The process of configuring the cluster infrastructure according to the integration work procedure and installing and setting the related software in the installation work unit 130 will be described with reference to a flowchart of the embodiment of FIG.

The integrated work procedures are described in the form of a script, and the install work unit 130 sequentially executes work according to the integrated work procedure.

4, when the integrated work procedure includes tasks from the cluster infrastructure configuration (S140) to the S / W installation and setting (S150), the installation work unit (130) The cloud resource management processing server 300 is called through various callers to perform operations. In the embodiment shown in FIG. 4, n cloud generators are created in the A type (S141), and the cloud storage is changed to the B type m to map the cloud storage and the VM (S143).

In step S144, cloud network storage creation (S145), cloud public IP creation (S146), clustering engine installation (S147), network storage installation (S148), and the like are performed according to the tasks specified in the integrated operation procedure And the server monitoring installation (S149) are sequentially performed to configure the cluster infrastructure.

(S151), a default value of the dielectric analysis software (S152) is set, a distributed operation setting (S153) and an additional function setting (S154) are performed according to the integrated operation procedure of the cluster infrastructure do.

In FIG. 4, the integrated operation procedure is the process of configuring the new genome analysis cluster infrastructure. If the integrated operation procedure is a procedure for changing only the cluster infrastructure structure for the genome analysis cluster infrastructure already configured, In the case where only the work described in the procedure can be performed during the configuration (S140), and the integrated work procedure is a procedure for changing only the related S / W to the configured genetic analysis cluster infrastructure, the S / W installation And setting (S150), only the operations described in the procedure can be performed.

In other words, according to the integrated procedure procedure, it is possible to newly construct a genome analysis cluster infrastructure or to perform an operation such as modification or deletion of a previously configured genome analysis cluster infrastructure. Thus, The analysis cluster infrastructure can be easily managed.

The integrated processing method for cloud-based clustering infrastructure management for genetic analysis according to the present invention integrates and manages the configuration of cloud resources managed in different computer languages and methods and the S / W installation and settings, It reduces the manpower and cost of maintaining the infrastructure, and in particular, the management of the integrated work procedures makes it possible to quickly and easily manage the entire work procedure.

The foregoing description is merely illustrative of the technical idea of the present invention and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments of the present invention are not intended to limit the scope of the present invention but to limit the scope of the present invention. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as being included in the scope of the present invention.

100: Integrated analysis system for genome analysis clustering infrastructure management,
110: API section, 120: Operation processing section,
130: installation work unit, 131: installation work execution unit,
132: Cloud VM creation call part,
133: Cloud storage creation call part,
134: Cloud network resource allocation call part,
135: S / W installation executing section, 136: S / W setting section,
140: cluster status and procedure mapping information storage unit,
150: S / W storage unit,
160: work procedure storage unit, 200: external module,
300: Cloud resource management processing server,
400: Destination server.

Claims (10)

An API unit for receiving request information for constructing a genome analysis cluster infrastructure from a user and calling a task processing unit according to the request information;
A task processor for determining an integrated task procedure for setting up and configuring a cluster infrastructure and a genetic analysis S / W based on the request information;
An installation work unit for configuring a cluster infrastructure on a target server according to the integrated work procedure and performing integration work for installing and setting a dielectric analysis software; And
And a work procedure storage unit storing an integrated work procedure for each product or work type. The integrated processing system for clustering infrastructure management for cloud based genetic analysis. The method according to claim 1,
A cluster status and a procedure mapping information storing unit for storing the operation procedure codes for installing and setting the genetic analysis cluster infrastructure, the configuration of the cluster infrastructure, and the genetic analysis software,
The above-
And an operation procedure code corresponding to the request information, and transmits the operation procedure code to the installation operation unit,
The installation operation unit,
And an integrated work procedure corresponding to the work procedure code is loaded in the work procedure storage unit. The method according to claim 1,
The installation operation unit,
An installation task execution unit for controlling the installation and setting operation of the configuration of the cluster infrastructure and the dielectric analysis software according to the integrated operation procedure;
A cloud VM creation calling unit for creating a cloud VM in the target server;
A cloud storage creation call unit for creating a cloud storage in the target server;
A cloud network resource allocation calling unit for allocating network resources to the target server;
An S / W installer for installing a dielectric analysis software on the target server; And
And a S / W setting unit for setting a genetic analysis S / W installed in the target server. The integrated processing system for managing a clustering infrastructure for cloud based genetic analysis. The method of claim 3,
And a cloud resource management processing server for creating and managing cloud resources,
Wherein the installation operation unit calls the cloud resource management processing server to configure the cluster infrastructure in the target server. 5. The method according to any one of claims 1 to 4,
The integrated work procedure comprises:
Clustering infrastructure management for cloud-based genetic analysis featuring a process that incorporates the work of VM configuration, virtual storage creation, network resource allocation or genetic analysis software installation and configuration for configuration of the genome analysis cluster infrastructure. Integrated processing system for. 5. The method according to any one of claims 2 to 4,
The work procedure code comprises:
And a work process procedure mapped to the genetic analysis cluster infrastructure corresponding to the request information according to a product or a work type, the integrated process system for managing a clustering infrastructure for cloud based genetic analysis. A request reception step of receiving request information for constructing a genome analysis cluster infrastructure from a user;
A work procedure confirmation step of confirming an integrated work procedure procedure for performing a configuration operation of a cluster infrastructure corresponding to the request information and installation and setting of a genetic analysis software; And
And performing an integration task of configuring the cluster infrastructure and installing and setting the genetic analysis software on the target server in accordance with the confirmed integrated work procedure to configure the genome analysis cluster infrastructure. An Integrated Processing Method for Clustering Infrastructure Management for Genetic. 8. The method of claim 7,
The work procedure confirmation step includes:
Confirming the configuration of the cluster infrastructure mapped to each product or operation type of the genome analysis cluster infrastructure corresponding to the request information and the operation procedure code for installing and setting the genome analysis software; And
And loading an integrated work procedure corresponding to the work procedure code. The integrated processing method for managing a clustering infrastructure for cloud based genetic analysis. 8. The method of claim 7,
In the integrated work performing step,
Generating a cloud VM, cloud storage, or network resource allocation to the target server by calling a cloud resource management processing server according to the integrated operation procedure; And
And installing and configuring a genetic analysis S / W in the target server according to the integrated operation procedure. The integrated processing method for managing a clustering infrastructure for cloud based genetic analysis. 8. The method of claim 7,
Wherein the request information includes modification and deletion information of a currently configured genome analysis cluster infrastructure,
The work procedure confirmation step includes:
Checking status information of a currently configured genome analysis cluster infrastructure;
Determining a configuration of a cluster infrastructure or a work procedure code for installation and setting of a genetic analysis S / W mapped for each product or work type corresponding to the request information based on the status information; And
And loading an integrated work procedure corresponding to the work procedure code,
In the integrated work performing step,
And performing a modification and deletion operation on the genome analysis cluster infrastructure configured in the target server according to the integrated operation procedure.
KR1020140122022A 2014-09-15 2014-09-15 System and Method for Integrated management of Genome Analysis Clustering Infrastructure on IT Cloud service KR20160032333A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020140122022A KR20160032333A (en) 2014-09-15 2014-09-15 System and Method for Integrated management of Genome Analysis Clustering Infrastructure on IT Cloud service

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020140122022A KR20160032333A (en) 2014-09-15 2014-09-15 System and Method for Integrated management of Genome Analysis Clustering Infrastructure on IT Cloud service

Publications (1)

Publication Number Publication Date
KR20160032333A true KR20160032333A (en) 2016-03-24

Family

ID=55651265

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020140122022A KR20160032333A (en) 2014-09-15 2014-09-15 System and Method for Integrated management of Genome Analysis Clustering Infrastructure on IT Cloud service

Country Status (1)

Country Link
KR (1) KR20160032333A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220168989A (en) * 2021-06-17 2022-12-26 주식회사 마이지놈박스 Apparatus and method for providing genomic analysis results based on platform

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220168989A (en) * 2021-06-17 2022-12-26 주식회사 마이지놈박스 Apparatus and method for providing genomic analysis results based on platform

Similar Documents

Publication Publication Date Title
US11221780B2 (en) Size adjustable volumes for containers
US11178207B2 (en) Software version control without affecting a deployed container
CN108536519B (en) Method for automatically building Kubernetes main node and terminal equipment
CN106537338B (en) Self-expanding clouds
US10326708B2 (en) Cloud computing services framework
US9058198B2 (en) System resource sharing in a multi-tenant platform-as-a-service environment in a cloud computing system
CN110413288B (en) Application deployment method, device, server and storage medium
US10324709B2 (en) Apparatus and method for validating application deployment topology in cloud computing environment
US11088914B2 (en) Migrating a monolithic software application to a microservices architecture
US9846586B2 (en) Creating a virtual machine and cloud server
US20150186129A1 (en) Method and system for deploying a program module
US9880836B2 (en) System and method for deploying a software program
US20190332423A1 (en) Workflow Service for a Cloud Foundry Platform
US20160335113A1 (en) Automated virtual desktop provisioning
WO2012175638A1 (en) A method of provisioning a cloud-based render farm
CN109743202B (en) Data management method, device and equipment and readable storage medium
WO2018229624A1 (en) Application deployment
JP6668658B2 (en) Job management method, job management device, and program
US20180210766A1 (en) Migration for cloud management systems
JP6458565B2 (en) Provisioning setting support apparatus, provisioning setting support method, program and system thereof
CN108958933B (en) Configuration parameter updating method, device and equipment of task executor
KR101899298B1 (en) Processing system for automation of cloud and process operating based virtual environment and processing method thereof
KR20160032333A (en) System and Method for Integrated management of Genome Analysis Clustering Infrastructure on IT Cloud service
US11425203B2 (en) Commissioning a virtualized network function
CN114490000A (en) Task processing method, device, equipment and storage medium

Legal Events

Date Code Title Description
WITN Withdrawal due to no request for examination