Unlock instant, AI-driven research and patent intelligence for your innovation.

Cloud Computing System Reliability Modeling Method Considering Common Causes and Virtual Machine Migration

A fault migration and modeling method technology, which is applied in reliability/availability analysis, calculation, program control design, etc., can solve the problems of virtual machine fault migration, such as poor consideration, and achieve the simplification of state space and the improvement of modeling efficiency Effect

Active Publication Date: 2018-12-21
BEIHANG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of poor consideration of virtual machine failure migration in the reliability modeling of cloud computing. On the basis of the cloud computing system reliability model considering common cause failures, the fault-tolerant strategy for virtual machine migration, Reliability modeling of cloud computing systems considering common causes and virtual machine failure migration under given requirements

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cloud Computing System Reliability Modeling Method Considering Common Causes and Virtual Machine Migration
  • Cloud Computing System Reliability Modeling Method Considering Common Causes and Virtual Machine Migration
  • Cloud Computing System Reliability Modeling Method Considering Common Causes and Virtual Machine Migration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described in detail below with reference to the drawings and embodiments.

[0037] The present invention proposes a cloud computing system reliability modeling method considering common cause failures and virtual machine failure migration. The process is as follows figure 1 As shown, including the following steps:

[0038] Step 1: Establish a cloud computing system and allocate resources.

[0039] Build a cloud computing system, such as figure 2 As shown, the infrastructure of the cloud computing system includes n types of servers, and the number of type i servers is m i And each server contains p i Cores, each core corresponds to a virtual machine, where the i-th server failure obeys failure rate λ S The exponential distribution of (i), the failures of the servers are independent; the failure rate of the virtual machine under the i-th server is λ V (i) Exponential distribution. n, m i , P i All are positive integers, i=1, 2,...,n. The ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a cloud computing system reliability modeling method capable of considering cloud computing common cause faults and virtual machine fault migration, and belongs to the technical field of network reliability. The method comprises the following steps: establishing a cloud computing system, and carrying out resource distribution; carrying out state space division on the cloud computing system, and calculating the existence probability of each state; determining a cloud computing system reliability modeling mode; calculating a probability that the amount of virtual machines which normally work meets a requirement; calculating the migration failure probability of each state according to different states; and calculating the cloud computing system reliability capable of considering common causes and the virtual machine fault migration under a given requirement. The method considers a plurality of virtual machine common cause faults caused by server faults and the fault-tolerance strategy of virtual machine migration, the problem that other models can not thoughtfully consider the common cause fault and the virtual machine fault migration is solved on the basis of the state space model, the state space is simplified, and modeling efficiency is improved.

Description

Technical field [0001] The invention belongs to the technical field of network reliability, and specifically relates to a reliability modeling method considering cloud computing common cause failures and virtual machine failure migration. Background technique [0002] As a new computing model, cloud computing has been widely used due to its high availability and high scalability. However, the frequent failures of cloud computing systems also make people pay attention to their reliability issues. Virtualization is a key feature of cloud computing systems. It is realized by creating multiple virtual machines (VMs) on physical servers to realize the sharing of cloud computing infrastructure and improve resource utilization. A server failure will cause the Multiple virtual machines fail together. Therefore, the reliability modeling of cloud computing systems needs to consider common cause failures. At the same time, in order to improve the availability of the system and ensure unin...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/00G06F9/455
CPCG06F9/45533G06F11/008G06F2009/45591
Inventor 李瑞莹李琼
Owner BEIHANG UNIV