Using the Network Link Data to Analyze the Status of Cloud Computing

Lu-Cheng Huang () and Bo Jiang ()
Additional contact information
Lu-Cheng Huang: Beijing University of Technology
Bo Jiang: Beijing University of Technology

Chapter Chapter 42 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 393-402 from Springer

Abstract: Abstract Emerging technologies have a variety of characteristics, this resulting large number of technology analysis methods. With continuous construction of the network infrastructure and expanding of user groups, the network data is increasingly important. Consider the fact that various subjects in real life will show their own behavior in the network, analyzing the link between sites can be helpful for researchers to find the relationship among various subjects, thus accurately determine the stage of technological development and guide the direction of technological development. By studying network link as the data source and analyzing cloud computing, conclusions can be drawn that cloud computing technology is at the stage of transformation from research and development (R&D) to industrialization, the technology is in rapid development phase and so on. The feasibility of network data used for technical analysis is also proved.

Keywords: Cloud computing; Internet; Network link (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38427-1_42

Ordering information: This item can be ordered from
http://www.springer.com/9783642384271

DOI: 10.1007/978-3-642-38427-1_42

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().