A Novel Data Placement Strategy for Data-Sharing Scientific Workflows in Heterogeneous Edge-Cloud Computing Environments

2020 ◽  
Author(s):  
Xin Du ◽  
Songtao Tang ◽  
Zhihui Lu ◽  
Jie Wet ◽  
Keke Gai ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Data Placement ◽  
Scientific Workflows ◽  
Computing Environments

scholarly journals A Cloud-Computing-Based Data Placement Strategy in High-Speed Railway

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Hanning Wang ◽  
Weixiang Xu ◽  
Futian Wang ◽  
Chaolong Jia
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
High Speed ◽  
Large Scale ◽  
Interval Mapping ◽  
Data Placement ◽  
Programming Algorithm ◽  
High Speed Railway ◽  
Typical Application ◽  
Mapping Algorithm

As an important component of China’s transportation data sharing system, high-speed railway data sharing is a typical application of data-intensive computing. Currently, most high-speed railway data is shared in cloud computing environment. Thus, there is an urgent need for an effective cloud-computing-based data placement strategy in high-speed railway. In this paper, a new data placement strategy named hierarchical structure data placement strategy is proposed. The proposed method combines the semidefinite programming algorithm with the dynamic interval mapping algorithm. The semi-definite programming algorithm is suitable for the placement of files with various replications, ensuring that different replications of a file are placed on different storage devices, while the dynamic interval mapping algorithm ensures better self-adaptability of the data storage system. A hierarchical data placement strategy is proposed for large-scale networks. In this paper, a new theoretical analysis is provided, which is put in comparison with several other previous data placement approaches, showing the efficacy of the new analysis in several experiments.

scholarly journals A Shared-Disk Database Approach towards Securing Data in the Cloud

2014 ◽  
pp. 59-64
Author(s):  
Debi Prasad Mishra ◽  
Ranjita Mishra ◽  
Animesh Tripathy
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Negative Effects ◽  
Security Issues ◽  
Shared Data ◽  
Data Owner ◽  
User Access ◽  
Computing Environments ◽  
Cloud Servers ◽  
And Control

The increasing popularity of cloud computing in distributed computing environment may have positive as well as negative effects on the data security of service consumers. This paper highlights some major security issues existing in current cloud computing environments. The primary issue to be dealt with when talking about security in a cloud is protection of the data. The idea is to construct a privacy preserving repository where data sharing services can update and control the access and limit the usage of their shared data, instead of submitting data to central authorities, and, hence, the shared-disk database architecture will promote data sharing and privacy of data. This paper aims at simultaneously achieving data confidentiality while still keeping the harmonizing relations intact in the cloud. Our proposed scheme enables the data owner to delegate most of computation intensive tasks to cloud servers without disclosing data contents or user access privilege information.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

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