Resource-Sharing Construction of Area E-Government Information Based on Cloud-Computing - Taking Hebei Cangzhou as an Example

2013 ◽  
Vol 347-350 ◽  
pp. 2793-2798
Author(s):  
Lin Na Huang ◽  
Bao Guo Gu
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Low Cost ◽  
Information Resource ◽  
Government Information ◽  
Computing Power ◽  
Computing Model ◽  
High Security

Cloud computing, with superior computing power, low-cost and high-security, will be applied to the resource-sharing area of E-government information with great significance and value. From the point of theory, technology and practice, it is scientifically feasible to build a cloud-based E-government information resource-sharing platform, and some areas are actively building this. This paper, through analysis of the problems existing in Cangzhou E-Government and through the design of the E-government cloud computing model, puts forward new ways to explore the development of regional E-government based on cloud computing.

BIM Application Research Based on Cloud Computing

2012 ◽  
Vol 170-173 ◽  
pp. 3565-3569 ◽  
Author(s):  
Zhen Bo Bi ◽  
Hui Qin Wang
Keyword(s):  
Cloud Computing ◽  
Low Cost ◽  
Limited Range ◽  
Actual Situation ◽  
Application Research ◽  
System Framework ◽  
Computing Power ◽  
Building Information Model ◽  
Key Technologies ◽  
Building Information

Applications based on CC (cloud computing) has the potential efficient and low-cost advantages, while there are the lack of computing power, the limited range of applications and the higher cost of BIM (Building Information Model) applications in the traditional desktop mode. According to BIM application features and the actual situation, the paper starts from the concept of CC and discusses the advantages of BIM applications using CC. The system framework, the key technologies and the implementation methods of the BIM application platform based on CC have been put forward on the basis of the above discussion.

Research on E-Government Information Resources Sharing System Based on Cloud Computing

2014 ◽  
Vol 687-691 ◽  
pp. 1758-1761
Author(s):  
Meng Han
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Resource Sharing ◽  
Rapid Development ◽  
Information Resources ◽  
Network Technology ◽  
Government Information ◽  
Research Focus ◽  
Resources Sharing ◽  
Information Resources Sharing

With the rapid development of network technology, information technology has become a trend. However, our country’s government information technology still needs to improve as quickly as possible. The key to promote the construction of government information is to establish e-government information resource sharing system. Therefore, how to achieve e-government information resources sharing becomes a research focus. In the construction of e-government information resources sharing system, cloud computing playing a role cannot be ignored. In the paper, it will research and analysis how to construct e-government information resources sharing system.

scholarly journals EARS-DM: Efficient Auto Correction Retrieval Scheme for Data Management in Edge Computing

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3616 ◽  
Author(s):  
Kai Fan ◽  
Jie Yin ◽  
Kuan Zhang ◽  
Hui Li ◽  
Yintang Yang
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Low Cost ◽  
Bloom Filter ◽  
Edge Computing ◽  
Security And Privacy ◽  
Network Bandwidth ◽  
Computing Model ◽  
Retrieval Scheme ◽  
Data Source

Edge computing is an extension of cloud computing that enables messages to be acquired and processed at low cost. Many terminal devices are being deployed in the edge network to sense and deal with the massive data. By migrating part of the computing tasks from the original cloud computing model to the edge device, the message is running on computing resources close to the data source. The edge computing model can effectively reduce the pressure on the cloud computing center and lower the network bandwidth consumption. However, the security and privacy issues in edge computing are worth noting. In this paper, we propose an efficient auto-correction retrieval scheme for data management in edge computing, named EARS-DM. With automatic error correction for the query keywords instead of similar words extension, EARS-DM can tolerate spelling mistakes and reduce the complexity of index storage space. By the combination of TF-IDF value of keywords and the syntactic weight of query keywords, keywords who are more important will obtain higher relevance scores. We construct an R-tree index building with the encrypted keywords and the children nodes of which are the encrypted identifier FID and Bloom filter BF of files who contain this keyword. The secure index will be uploaded to the edge computing and the search phrase will be performed by the edge computing which is close to the data source. Then EDs sort the matching encrypted file identifier FID by relevance scores and upload them to the cloud server (CS). Performance analysis with actual data indicated that our scheme is efficient and accurate.

scholarly journals Commercial Cloud Services for a Robust Mobile Application Backend Data Storage

2021 ◽  
Vol 3 (1) ◽  
pp. 31-45
Author(s):  
Folasade Dahunsi ◽  
John Idogun ◽  
Abayomi Olawumi
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Mobile Applications ◽  
Mobile Application ◽  
Low Cost ◽  
Cloud Services ◽  
Application Development ◽  
Computing Power ◽  
Business Goals ◽  
Information And Communication

Rapid advancements in the infrastructure of Information and Communication Technology (ICT) have led to radically new but ubiquitous technology; cloud computing. Cloud computing has gracefully emerged offering services that possess on-demand scalability, huge computing power, and a utility-like availability, all at a relatively low cost. It has unsurprisingly become a paradigm shift in ICT, gaining adoptions in all forms of application i.e., personal, academic, business, or government. Not only for its cost-effectiveness but also for its inherent ability to meet business goals and provide strategic ICT resources. More recently there have been advances in cloud computing leading to the evolution of newer commercial cloud services, one of which is the Mobile backend as a Service (MBaaS). The MBaaS is important and required for a robust mobile application back-end data storage and management. Its wide adoption and importance stem from its ability to simplify application development and deployment. Also, MBaaS is robust, with the ability to cope with errors by providing nifty tools and other features. These enable rapid scaffolding of mobile applications. This paper reviews Mobile backend as a Service (MBaaS) and provides required background knowledge on some cloud services and their providers to enable stakeholders to make informed decisions and appropriate choices.

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