Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data center selection method for big data to migrate to cloud

A big data and data technology, applied in the field of data center selection, to achieve the effect of low data migration, conducive to automatic management, and low cost

Inactive Publication Date: 2016-07-06
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem objective is to minimize total fixed costs and total service costs

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
  • Data center selection method for big data to migrate to cloud
  • Data center selection method for big data to migrate to cloud
  • Data center selection method for big data to migrate to cloud

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0016] The present invention considers the feasibility of moving cross-regional distributed big data to the cloud, studies multiple target DC selection problems, and uses an incomplete bipartite graph to represent the underlying facilities, thereby overcoming the limitation that existing problems are all complete bipartite graphs. It is more in line with the actual situation where not every DC is available due to user preference or legal restrictions.

[0017] attached figure 1 An incomplete bipartite graph composed of distributed user data and DCs in distributed cloud computing is simulated, in w...

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 puts forward a data center selection method for big data to migrate to cloud. The data center selection method comprises the following steps: firstly, considering a situation that factors including user preference and legal restriction cause that a DC (Data Center) is not available to carry out non-complete graph modeling; adopting a level activation way to describe the data generation of a user; defining four criterions including FDP (Fair Data Placement), PDP (Preference Data Placement), TCMDP (Transmission cost Minimum Data Placement) and CMDP (Cost Minimum Data Placement); and on the basis of the criterions, carrying out DC selection. The method which is put forward by the invention aims at requirements generated when BD (Big Data) moves to the cloud, researches a movement mechanism from an aspect of the user, and can shorten data access time delay and reduce data cost. The method can reflect the availability of the DC and the user preference. The method can utilize a network to automatically carry out low-cost and low-delay data migration, avoids a hardware way and is favorable for implementing automatic management.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a method for selecting a data center when big data is migrated to the cloud. Background technique [0002] Cloud computing has become the platform of choice for big data (BD) analysis. This is especially true when data is generated from multiple geographically distributed locations, and local users often need to use local data, and sometimes the data needs to be further integrated for further analysis. For example, for a multinational sales company with many subsidiaries all over the world, the subsidiaries in each country need to analyze the data generated by local users in a timely manner for commercial purposes. All data must be aggregated and analyzed to report to the headquarters, or to support cross-border transactions. Generally speaking, a large cloud is networked in a distributed manner and has multiple geographically distributed data centers (DCs, for example,...

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
IPC IPC(8): G06F3/06
CPCG06F3/0655
Inventor 张江涛黄荷姣王轩
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com