scholarly journals Increasing reliability and fault tolerance of a secure distributed cloud storage

2020 ◽  
Author(s):  
N. Kucherov ◽  
M. Babenko ◽  
A. Tchernykh ◽  
V. Kuchukov ◽  
I. Vashchenko
Keyword(s):  
Fault Tolerance ◽  
Data Storage ◽  
Storage System ◽  
Number System ◽  
Modular Arithmetic ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Data Storage System ◽  
Set Up ◽  
Cloud Servers

The work develops the architecture of a multi-cloud data storage system based on the principles of modular arithmetic. This modication of the data storage system allows increasing reliability of data storage and fault tolerance of the cloud system. To increase fault-tolerance, adaptive data redistribution between available servers is applied. This is possible thanks to the introduction of additional redundancy. This model allows you to restore stored data in case of failure of one or more cloud servers. It is shown how the proposed scheme will enable you to set up reliability, redundancy, and reduce overhead costs for data storage by adapting the parameters of the residual number system.

scholarly journals Using Cloud Computing as an Infrastructure Case Study- Microsoft Azure

2020 ◽  
Vol 2 (3) ◽  
pp. 93-100
Author(s):  
Jusuf Qarkaxhija
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Professional Staff ◽  
Full Potential ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Data Storage System ◽  
Microsoft Azure ◽  
The Many ◽  
Cloud Resources

In recent years, the cloud has achieved an immense popularity in the world of tech. This has provided new and improved strategies for cost reduction, and for ensuring better utilisation of cloud resources. Implementation of this model is continuously increasing in numerous businesses , due to the many benefits that the companies are attaining. These cloud resources can belong to either, the infrastructure or platform model. A vast attention has been directed towards the virtualization technology, because the cloud is largely relied upon it. With the help of virtualization, one can quickly download apps or websites, from the cloud. In order to yield the full potential of the cloud, companies should migrate all their current applications to the cloud, and in order to do that- only an internet connection is required. Migration of the existing systems to a scalable cloud solution, can reduce hardware related costs , such as : servers, installation of operating system, database and licence system costs, deployment of database products , and finally employment of professional  staff to develop and maintain the system. This research attempts to study and analyze Microsoft Azure, in particular the virtual machine - as part of its infrastructure. The main priority lies in establishing a secure cloud data storage system.  

Secure Cloud Data Storage System using Hybrid Paillier-Blowfish Algorithm

2021 ◽  
Vol 67 (1) ◽  
pp. 779-798
Author(s):  
Bijeta Seth ◽  
Surjeet Dalal ◽  
Dac-Nhuong Le ◽  
Vivek Jaglan ◽  
Neeraj Dahiya ◽  
...  
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Data Storage System

scholarly journals An Efficient Data Segmentation and Replication Technique for Cloud using Fruit Fly Optimized Centrality Measures

2019 ◽  
Vol 8 (6S4) ◽  
pp. 497-501
Keyword(s):  
Data Storage ◽  
Fruit Fly ◽  
Centrality Measures ◽  
Fruit Fly Optimization Algorithm ◽  
Cloud Data ◽  
Fruit Fly Optimization ◽  
Cloud Data Storage ◽  
And Performance ◽  
Replication Technique ◽  
Cloud Servers

Cloud computing is a creating worldview to give dependable and versatile framework permitting the clients (data proprietors) to store their data and the data customers (clients) can get to the data from cloud servers. This paradigm decreases stockpiling and upkeep cost of the data proprietor. However, cloud data storage still gives rise to security related problems. In case of shared data, the data face both cloud-specific and insider threats. In this work, we propose FOA( fruit fly optimization algorithm ) optimized centrality measure fragmentation and replication of information in the cloud for optimum performance and security that consider both security and performance issues. FOA is a technique for deducing global optimization based on the foraging character of the fruit fly. The sensory perception of the fruit fly is superior than that of other species, particularly the sense of smell and vision . In our methodology, we divide a data files and replicate the fragmented data over the cloud nodes using FOA centrality measures. Every one of the cloud node just store a single information data fragment that ensures even if there arise an occurrence of a successful attack ,no important information is shown to the attacker .We also compare the performance of the our methodology with other standard replication schemes. Observed results shows higher level of security and performance imrpovements.

scholarly journals An Efficient Data Segmentation and Replication Technique for Cloud using Fuzzy Centrality Measures

2019 ◽  
Vol 8 (2S3) ◽  
pp. 624-628
Keyword(s):  
Data Storage ◽  
Centrality Measures ◽  
Maintenance Cost ◽  
Significant Information ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Improved Performance ◽  
Resilient Infrastructure ◽  
Replication Technique ◽  
Cloud Servers

Cloud computing is a creating worldview to give reliable and resilient infrastructure permitting the clients (data proprietors) to store their data and the data purchasers (clients) can get to the data from cloud servers. This worldview decreases storage and maintenance cost of the data proprietor. Notwithstanding, cloud data storage still offers ascend to security related issues. In the event of shared data, the data face both cloud-explicit and insider threats. In this work, we propose fuzzy centrality measure based division and replication of data in the cloud for perfect execution and security that consider both security and execution issues. In our framework, we separate a data records and imitate the isolated data over the cloud center points utilizing fuzzy centrality measures. Every one of the nodes stores just a solitary data fragment of a particular data document that guarantees that even if there should arise an occurrence of a fruitful attack, no significant information is uncovered to the attacker. In addition, the cloud nodes storing the data fragments, are separated with certain distance by methods for altered fuzzy T-coloring to prohibit an attacker of predicting the locations of the fragments. We likewise contrast the exhibition of the our methodology and other standard replication plans. The greater amount of security with improved performance was observed.

Data Storage Technology and its Development Based on Cloud Computing

2013 ◽  
Vol 756-759 ◽  
pp. 1275-1279
Author(s):  
Lin Na Huang ◽  
Feng Hua Liu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
File System ◽  
Storage System ◽  
Distributed File System ◽  
Cloud Data ◽  
Storage Technology ◽  
Cloud Data Storage

Cloud storage of high performance is the basic condition for cloud computing. This article introduces the concept and advantage of cloud storage, discusses the infrastructure of cloud storage system as well as the architecture of cloud data storage, researches the details about the design of Distributed File System within cloud data storage, at the same time, puts forward different developing strategies for the enterprises according to the different roles that the enterprises are acting as during the developing process of cloud computing.

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