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System and method for adaptive resource scheduling of cloud platform

A resource scheduling and self-adaptive technology, applied in the field of cloud computing, to achieve high-efficiency scalability, convenient service at any time, and improve resource utilization

Inactive Publication Date: 2017-11-28
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems, the present invention provides a cloud platform-based software self-adaptive deployment architecture, which can adaptively adjust and allocate resources according to the changes in the traffic load of the system running on the platform, effectively solving the problems of idle resources on the cloud platform and Waste problem, improved resource utilization

Method used

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  • System and method for adaptive resource scheduling of cloud platform
  • System and method for adaptive resource scheduling of cloud platform
  • System and method for adaptive resource scheduling of cloud platform

Examples

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Embodiment 1

[0039] The resource scheduling of the cloud platform is the process of allocating the required virtual resources to the user according to the task request submitted by the user. This embodiment provides a cloud-based adaptive scheduling system, such as image 3 shown, including:

[0040] (1) Registration component, used for cloud cluster management, recording and storing physical resource information;

[0041] Optionally, the registration component is specifically responsible for recording and managing physical resource information in the cluster including IP addresses, network bandwidth, hosts, and MAC addresses. The above information is recorded in the database. When a physical machine is added or removed, it is responsible for modifying the database information.

[0042] (2) The interaction component is used to receive the user task request, analyze and judge the virtual machine type, QoS parameter and quantity requirement corresponding to the user request; and analyze wh...

Embodiment 2

[0069] Based on the above cloud platform adaptive resource scheduling system, this embodiment provides a cloud platform adaptive resource scheduling method, which is characterized in that it includes the following steps:

[0070] Step 1: receiving a user task request, analyzing the user task request, judging the corresponding virtual machine type, QoS requirement and quantity requirement, and assigning the task to a suitable virtual machine for execution;

[0071] Step 2: The monitoring component monitors whether the load of the platform system changes, and if there is a change, sends the change of the load to the decision-making component;

[0072] Step 3: The decision-making component calculates the cloud resources required by the system service through an adaptive resource scheduling algorithm according to the change of the load;

[0073] Step 4: Based on the resource prediction, judge whether the performance of the physical node exceeds the predicted index, if so, check wh...

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Abstract

The invention discloses a system for adaptive resource scheduling of a cloud platform. The system comprises a registration component, an interaction component, a monitoring component, a decision component and an infrastructure component, wherein the registration component is used for managing a cloud cluster and storing physical resource information; the interaction component is used for receiving a user task request and analyzing and judging the type of a virtual machine, a QoS parameter and a quantity demand which are corresponding to the user request and analyzing whether the resource request of a task is reasonable; the monitoring component is used for monitoring platform system load and cloud cluster load, which include the type, the state and the resource utilization rate of the virtual machine, the state and the resource utilization rate of a physical node, and a network broadband and task response time of the cluster; the decision component is used for adopting an adaptive resource scheduling algorithm to predict the resource demand according to the cluster load change condition and sending a resource scheduling request; and the infrastructure component is used for adjusting an infrastructure according to the resource scheduling request. According to the system, the adaptive deployment of the cloud platform is realized, the problems of occupation and waste of cloud resources are solved, and the resource utilization rate is improved.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a cloud platform self-adaptive resource scheduling system and method. Background technique [0002] Cloud computing relies on the Internet. According to personal hobbies and needs, it can be divided into two modes, namely computing mode and service mode. Of course, the service mode of cloud computing has two characteristics, that is, dynamic and elastic. Its innovative infrastructure deployment mode, resource usage mode, information processing and service mode provide an important foundation for effectively lowering the threshold of informatization construction, adjusting economic structure, and improving resource utilization and information service capabilities. Especially in today's information society where data is increasingly becoming a strategic resource, cloud computing can be more economical, more efficient, and easier to mine the value of data, obtain knowledge and decisi...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F9/50G06F9/455
CPCG06F9/45558G06F9/505G06F2009/4557H04L67/61H04L67/60
Inventor 梁鸿孔言孙晓魏倩
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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