KR20140118030A - Resource trade management apparatus in hierarchical load balancing structure of cloud computing environment and method thereof - Google Patents

Resource trade management apparatus in hierarchical load balancing structure of cloud computing environment and method thereof Download PDF

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Publication number
KR20140118030A
KR20140118030A KR1020130033182A KR20130033182A KR20140118030A KR 20140118030 A KR20140118030 A KR 20140118030A KR 1020130033182 A KR1020130033182 A KR 1020130033182A KR 20130033182 A KR20130033182 A KR 20130033182A KR 20140118030 A KR20140118030 A KR 20140118030A
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South Korea
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resource
cloud
module
user terminal
service provider
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KR1020130033182A
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Korean (ko)
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이종식
김재권
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인하대학교 산학협력단
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Publication of KR20140118030A publication Critical patent/KR20140118030A/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/16—Combinations 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
    • 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
    • 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]

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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)
  • Computer Hardware Design (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Embodiments of the present invention relate to a resource trade management device based on a hierarchical load balancing structure which defines features of elements comprising the resource management of cloud computing in a cloud computing environment and correlations among the elements and a method thereof. The resource trade management device based on a hierarchical load balancing structure in a cloud computing environment includes: a cloud application program unit which receives a service request to a cloud server from a user terminal; a cloud middleware unit which relays between a service provider and the user terminal regarding the service request; and a cloud resource providing unit which provides resources through the relay between the service provider and the user terminal.

Description

Technical Field [0001] The present invention relates to a resource transaction management apparatus and method in a hierarchical load balancing structure of a cloud computing environment,

Embodiments of the present invention relate to a resource transaction management apparatus and method based on a hierarchical load distribution structure that defines characteristics of elements constituting resource management of cloud computing in a cloud computing environment, .

The cloud computing environment has become a hot issue as a way to handle large amounts of data, and it has attracted great attention as it can constitute the resource infrastructure of the virtualized environment, reduce the cost of the distributed computing environment, increase the scalability and flexibility, and enable integrated management .

The virtualization environment enables sharing of resources by configuring one or more physical resources into a plurality of virtual resources, thereby improving the overall performance of the distributed environment by reducing the operating cost. However, in a distributed environment, the use of virtual resources may be concentrated on specific resources among the physical resources constituted by virtualization.

Therefore, in order to solve this problem, it is necessary to flexibly manage resources by applying a hierarchical structure of physical resources constituted by virtualization.

As an example of technology for resource allocation in virtualization, Korean Patent Application Publication No. 10-20090068833 (published on June 29, 2009) entitled " Virtual Machine Monitor Based Program Execution System and Control Method " And a virtual machine monitor based program execution system for executing the application program in any one of the plurality of domains according to a trust level of the program.

In addition, it is necessary to ensure smooth service provision according to the user's request, and to take into account the reasonable cost benefit of the service provider. In the cloud computing environment, it is very difficult and complicated to provide service resources suitable for the needs of the cloud user because the kinds of virtual resources of the service providers are very diverse and the costs are different for each resource.

In order to solve this problem, it is necessary to realize profitability of cloud service providers and improvement of resource utilization by paying attention to economical resources, and to improve the satisfaction of service users.

By applying a hierarchical load balancing structure in a cloud environment and integrating and managing it, it is possible to provide improved maintainability. In addition, the cost benefit can be calculated by placing a resource broker capable of resource selection and job assignment. Therefore, considering the cost benefit, a resource negotiation mechanism for each resource and a pricing algorithm that prioritizes cost benefit are provided, so that a reasonable resource allocation is possible.

Accordingly, there is a need for a resource transaction management apparatus and method in a hierarchical load balancing structure of a cloud computing environment.

The embodiment of the present invention analyzes components and features for a resource distance management apparatus and method using a hierarchical load distribution structure in order to smoothly provide a cloud service and increase a cost benefit, The present invention provides a cost-benefit-based resource management apparatus and method using a hierarchical load balancing structure in a cloud computing environment providing resources by applying an algorithm.

A resource transaction management apparatus in a hierarchical load balancing structure of a cloud computing environment, the resource transaction management apparatus comprising: a cloud application program unit for receiving a service request for a cloud server from a user terminal; A cloud middleware unit for mediating the service provider and the user terminal with respect to the service request; And a cloud resource providing unit for providing resources through intermediation between the service provider and the user terminal.

In one aspect, the cloud middleware module includes: a resource mediation module that enables a transaction of resources between a user terminal and a service provider; A resource allocation module for allocating resources at the time when resource broking is completed; And a service management module for providing a request service to the user terminal.

In another aspect, the cloud resource provision unit includes: a resource manager module located at the highest layer of the hierarchical load balancing structure; And a data server module for managing multiple resources of the tiered load balancing structure.

In yet another aspect, a resource manager module includes: a global job load module that loads a job according to a service request; And a global resource coordination module for assigning tasks to the data server module.

In another aspect, a data server module includes: a local job load module that is assigned a job from a global resource adjustment module; And a local resource coordination module for transmitting a task to a physical resource for the task, the physical resource comprising: a task load module for task processing; And a job processing module for processing the request job of the actual user.

In another aspect, the data server module negotiates an optimal price condition using a cost benefit algorithm and selects a suitable resource according to the state of the resource, and the cost benefit algorithm includes a request price of the user terminal and a service provider's offer It may correspond to an algorithm that calculates the optimal cost between prices.

According to an embodiment of the present invention, a resource infrastructure environment is configured by applying a hierarchical load balancing structure to each resource of a cloud environment, and an optimal cost is determined through cost-benefit-based scheduling according to provision of resources, We can provide a cloud resource that can satisfy everyone.

In addition, by negotiating resources through cost-benefit-based resource management for performance indicators that are weighted according to the status and cost of resources, the optimal cost to meet the performance index of the number of transactions calculated through cost-benefit-based scheduling And thus can provide cloud services effectively at the calculated cost.

1 is a block diagram illustrating a configuration of a resource transaction management apparatus in a cloud server according to an embodiment of the present invention.
2 is a block diagram illustrating a detailed configuration of a cloud middleware unit according to an embodiment of the present invention.
3 is a block diagram showing a detailed configuration of a hierarchical load balancing structure in an embodiment of the present invention.
4 is a block diagram illustrating a detailed configuration of a resource manager module according to an exemplary embodiment of the present invention.
5 is a block diagram illustrating a detailed configuration of a data server module according to an embodiment of the present invention.
FIG. 6 is a diagram for explaining a cost-benefit-based algorithm in an embodiment of the present invention.
FIG. 7 is a flowchart including each step of a resource transaction management method according to an embodiment of the present invention.

Hereinafter, a resource transaction management apparatus and method in a cloud server having a hierarchical load balancing structure will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a configuration of a resource transaction management apparatus in a cloud server according to an embodiment of the present invention. The cloud server is intended to provide a cloud service, and more specifically, provides application services to a user terminal in a cloud environment.

The resource transaction management apparatus 100 according to the embodiment can use a cost-based algorithm when providing a virtual resource according to a resource request in a cloud server. As shown in FIG. 1, the resource transaction management apparatus 100 includes a cloud application A cloud middleware unit 300, and a cloud resource providing unit 400. The cloud resource providing unit 400 may include a server 200, a cloud middleware unit 300, and a cloud resource providing unit 400. [

First, the cloud application program unit 200 receives a service request for a cloud server. In an embodiment, the cloud application program unit 200 identifies a payment for using the cloud service from a user terminal provided with the cloud service, You may grant permission to use.

The cloud middleware unit 300 plays a role of mediating between the user terminal and the service provider. The user terminal and the service provider may correspond to various devices capable of networking.

The cloud resource provider 400 can provide resources to the user terminal using the intermediary between the user terminal and the service provider located at the cloud infrastructure organization level that provides and includes all the resources that are accessible on the network of the cloud environment. Here, the cloud infrastructure organization consists of a hierarchical load balancing structure. This structure will be described in detail later.

2 is a block diagram illustrating a detailed configuration of the cloud middleware unit 300 according to an embodiment of the present invention.

The cloud middleware unit 200 may include a resource mediation module 210, a resource allocation module 220, and a service management module 230.

The resource mediating module 210 searches the cloud data server providing the information necessary for the user terminal to use the cloud service, negotiates the cloud data server between the cloud service manager and the cloud user terminal, and makes the resource transaction possible have.

In addition, the resource allocation module 220 selects and allocates a resource having the highest availability probability in the determined data server so that the resource can be used by the user.

The service management module 230 is used to provide the actual request service of the user terminal. The service management module 230 is responsible for providing data server resources using the core cloud middleware service and can combine and manage distributed data servers.

FIG. 3 is a block diagram illustrating a detailed configuration of a hierarchical load balancing structure with respect to a cloud resource providing unit 400 in the resource transaction management apparatus 100 according to an exemplary embodiment of the present invention.

The cloud resource providing unit 400 may include a resource manager module 500 located at the uppermost layer in the hierarchical load balancing structure and a data server module 600 managing various resources.

In the hierarchical load balancing structure, the resource manager module 500 performs central management for the provision of the most highly available infrastructure and smooth management in the process of completing the resource negotiation and using the resources by a plurality of user terminals, May be performed through the data server module 600.

The resource manager module 500 is included in a configuration to be managed integrally according to a user's work request, and it is described in more detail with reference to FIG. 4 as a process of distributing a plurality of jobs in advance.

In addition, the data server module 600 processes the tasks allocated from the resource manager module 500, and will be described more precisely with reference to FIG.

4 is a block diagram illustrating a detailed configuration of a resource manager module according to an exemplary embodiment of the present invention. The resource manager module 500 may be configured to include the global job load module 510 and the global resource adjustment module 520.

The global job load module 510 is an application area for inputting and receiving a job of a user terminal, and when the job is received from the user, the job can be stored. Thereafter, when the previous job has been processed, it can be transmitted to the global resource coordination module 520.

When the global job coordination module 520 receives the job corresponding to the priority among the jobs stored in the global job load module 510, the global job coordination module 520 can transmit the job to the data server module 600 most appropriate for the job.

5 is a block diagram illustrating a detailed configuration of a data server module 600 according to an embodiment of the present invention. The detailed configuration of the data server module 600 may be configured to include a local task load module 610, a local resource coordination module 620, and a physical resource 630. Here, the physical resource 630 may include a job loading module 631 and a job processing module 632. [

According to the embodiment, the data server module 600 is composed of physical resources, which are resources for processing real work, and virtual resources, which are not. When the job is allocated from the resource manager module 500, the data server module 600 may store the job in the local job load module 610. [

Thereafter, if the stored job is prioritized, the local job coordination module 620 can assign the job to the processable physical resource 630. [

When the job is received from the local job coordination module 620, the job load module 631 stores the physical resource 630, and the job resource management module 631, Lt; RTI ID = 0.0 > 632 < / RTI >

Figure 6 is a block diagram illustrating a cost-benefit based algorithm, in one embodiment of the present invention, in one embodiment of the present invention. In an embodiment, the data server module 600 can negotiate the optimal price condition using the cost benefit algorithm and select the appropriate resource according to the state of the resource.

This cost benefit algorithm is an algorithm for calculating the optimal cost between the requested price of the user terminal and the offered price of the service provider, and can be performed through five steps as shown.

The user terminal accesses the cloud service using the bid price and the elastic price information. Bid price is the bid price of the user, and Elastic price is the price elasticity that the user limits the bid price. And the service provider has the Selling price and the user's Elastic price information, and the Selling price is the selling price suggested by the provider. Accordingly, the service provider can receive information on each Price (S610).

The resource mediating module bids a price to each data server module based on the bid price information of the user terminal (S620). Accordingly, each data server module can set a price that does not exceed the elastic price based on the price offered by the broker (S630). The broker provides the Selling price, which is the lowest price, to the user terminal, and the user terminal provides the price higher than the Elastic price (S640).

Through such a process, the user terminal and all the data server modules can determine the price at a reasonable price, and the user terminal can negotiate with the data server module that offers the optimal price at step S620. At this time, the selected data server module can select a resource having the smallest Processing Time and Queue Size in order to provide the most available resource to the user terminal (S650).

FIG. 7 is a flowchart including each step of a resource transaction management method according to an embodiment of the present invention. The resource transaction management method according to the embodiment can be performed through the resource transaction management apparatus 100 described with reference to FIGS. 1 to 6. In a cloud server, when providing a virtual resource according to a resource request, Can be used.

In step 710, the resource transaction management device 100 may receive a service request for the cloud server. In an embodiment, it is possible to identify from the user terminal receiving the cloud service the payment for using the cloud service and authorize the use of the cloud resource.

In addition, in step 720, the resource transaction management apparatus 100 plays a role of mediating between the user terminal and the service provider. In an embodiment, the user terminal and the service provider may correspond to various devices capable of networking.

Finally, in step 730, the resource transaction management device 100 is located at the cloud infrastructure organization level that provides and includes all resources accessible on the network of the cloud environment, and uses the intermediary between the user terminal and the service provider Resources can be provided. Here, the cloud infrastructure organization consists of a hierarchical load balancing structure. In an embodiment, in step 730, a cost-based algorithm may be used to calculate the optimal cost and provide resources to the user terminal accordingly.

According to an embodiment of the present invention, a resource infrastructure environment is configured by applying a hierarchical load balancing structure to each resource of a cloud environment, and an optimal cost is determined through cost-benefit-based scheduling according to provision of resources, We can provide a cloud resource that can satisfy everyone.

In addition, by negotiating resources through cost-benefit-based resource management for performance indicators that are weighted according to the status and cost of resources, the optimal cost to meet the performance index of the number of transactions calculated through cost-benefit-based scheduling And thus can provide cloud services effectively at the calculated cost.

The resource transaction management method according to the embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

100: Resource transaction management device
200: Cloud Application Department
300: Cloud middleware department
400: Cloud Resource Offering

Claims (7)

1. A resource transaction management apparatus in a hierarchical load balancing structure of a cloud computing environment,
A cloud application program unit receiving a service request for a cloud server from a user terminal;
A cloud middleware unit for mediating the service provider and the user terminal with respect to the service request; And
A cloud resource providing unit for providing a resource through intermediation between the service provider and the user terminal,
And the resource transaction management device. The method according to claim 1,
The cloud middleware unit,
A resource mediation module that enables a transaction of resources between the user terminal and a service provider;
A resource allocation module for allocating a resource at the time when the resource broking is completed; And
A service management module for providing a request service to the user terminal,
And the resource transaction management device. The method according to claim 1,
Wherein the cloud resource provider comprises:
A resource manager module located at the highest layer of the hierarchical load balancing structure; And
A data server module managing a plurality of resources of the hierarchical load balancing structure
And the resource transaction management device. The method of claim 3,
Wherein the resource manager module comprises:
A global job loading module for loading a job according to the service request; And
A global resource coordination module for assigning the task to the data server module;
And the resource transaction management device. 5. The method of claim 4,
The data server module comprises:
A local task loading module that is assigned the task from the global resource coordination module; And
And a local resource coordination module for transmitting a task to a physical resource for the task,
The physical resource
A job loading module for the job processing; And
Including a job processing module that processes actual user requests
Wherein the resource transaction management apparatus comprises: The method of claim 3,
The data server module negotiates an optimal price condition using a cost benefit algorithm and selects an appropriate resource according to the state of the resource,
The cost benefit algorithm is an algorithm that calculates the optimal cost between the requested price of the user terminal and the offered price of the service provider
Wherein the resource transaction management apparatus comprises: A method for managing resource transactions in a hierarchical load balancing structure of a cloud computing environment,
Receiving a service request for a cloud server from a user terminal;
Mediating the service provider and the user terminal for the service request; And
Providing resources through intermediation between the service provider and the user terminal,
Wherein providing the resource through intermediation between the service provider and the user terminal comprises using a cost benefit algorithm that calculates an optimal cost between the requested price of the user terminal and the offered price of the service provider
Resource transaction management method.
KR1020130033182A 2013-03-28 2013-03-28 Resource trade management apparatus in hierarchical load balancing structure of cloud computing environment and method thereof KR20140118030A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016122697A1 (en) * 2015-01-30 2016-08-04 Hewlett Packard Enterprise Development Lp Resource brokering for multiple user data storage and separation
WO2016186631A1 (en) * 2015-05-15 2016-11-24 Hewlett Packard Enterprise Development Lp Price, completion time, and resource allocation determination for cloud services
WO2016195709A1 (en) * 2015-06-05 2016-12-08 Hewlett Packard Enterprise Development Lp Pricing of cloud resources
WO2016195703A1 (en) * 2015-06-05 2016-12-08 Hewlett Packard Enterprise Development Lp Pricing of cloud resources
KR20200061163A (en) * 2018-11-23 2020-06-02 최운철 Blockchain Middle Ware System using Virtual Money

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016122697A1 (en) * 2015-01-30 2016-08-04 Hewlett Packard Enterprise Development Lp Resource brokering for multiple user data storage and separation
WO2016186631A1 (en) * 2015-05-15 2016-11-24 Hewlett Packard Enterprise Development Lp Price, completion time, and resource allocation determination for cloud services
WO2016195709A1 (en) * 2015-06-05 2016-12-08 Hewlett Packard Enterprise Development Lp Pricing of cloud resources
WO2016195703A1 (en) * 2015-06-05 2016-12-08 Hewlett Packard Enterprise Development Lp Pricing of cloud resources
KR20200061163A (en) * 2018-11-23 2020-06-02 최운철 Blockchain Middle Ware System using Virtual Money

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