2019IOP Conference Series Earth and Environmental ScienceOpen access

Research and Application of Key Technologies for Fog Computing Based on Big Data

Baoling Qin

Open full text 2 citations

Abstract

In big data computing services, fog computing can be said to be an enhanced version of cloud computing. In recent years, the application of intelligent Internet of things has spread all over the industry and has expanded rapidly, and its integration with big data technology particularly stands out. Cloud computing seems to have more serious problems in big data storage, data calculation and data processing, including the lack of storage space, redundant data, and network interruptions and delays. In order to solve these problems, we use the edge technology functions of Intelligent Internet of things (IoT) according to the models and characteristics of fog computing, putting data storage, data calculation, and data processing into edge devices. In this way, we can solve problems that occurs in cloud computing when processing big data and effectively improve the storage and calculation of big data.

Open-access reader

About this research paper

What this paper is about

In big data computing services, fog computing can be said to be an enhanced version of cloud computing. In recent years, the application of intelligent Internet of things has spread all over the industry and has expanded rapidly, and its integration with big data technology particularly stands out. Cloud computing seems to have more serious problems in big data storage, data calculation and data processing, including the lack of storage space, redundant data, and network interruptions and delays. In order to solve these problems, we use the edge technology functions of Intelligent Internet of things (IoT) according to the models and characteristics of fog computing, putting data storage, data calculation, and data processing into edge devices. In this way, we can solve problems that occurs in cloud computing when processing big data and effectively improve the storage and calculation of big data.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In big data computing services, fog computing can be said to be an enhanced version of cloud computing. In recent years, the application of intelligent Internet of things has spread all over the industry and has expanded rapidly, and its integration with big data technology particularly stands out. Cloud computing seems to have more serious problems in big data storage, data calculation and data processing, including the lack of storage space, redundant data, and network interruptions and delays. In order to solve these problems, we use the edge technology functions of Intelligent Internet of things (IoT) according to the models and characteristics of fog computing, putting data storage, data calculation, and data processing into edge devices. In this way, we can solve problems that occurs in cloud computing when processing big data and effectively improve the storage and calculation of big data.

Key concepts: Big data, Cloud computing, Computer science, Edge computing, Data processing, Key (lock), Enhanced Data Rates for GSM Evolution, Data science

Related papers

Back to paper searchBrowse research topicsOriginal source
Research and Application of Key Technologies for Fog Computing Based on Big Data — Research Paper | ScholarLens