Research of Scalability Model Based on Cloud Storage System

2011 ◽  
Vol 130-134 ◽  
pp. 3054-3057
Author(s):  
Jun Wei Ge ◽  
Yong Long Deng ◽  
Yi Qiu Fang

Scalability is one of the most important indicators to for performance of cloud storage system. In this paper, firstly, we pointed out limitations of three classical scalability evaluation methods with conditions of iso-speed, iso-efficiency and iso-ratio of parallel overhead to computation, when describing scalability. Then, we proposed a new scalability evaluation model which was suitable for cloud storage environment and named as EP scalability model. The EP scalability model directly reflected the performance of cloud storage system when the system scale and storage tasks expand.

2012 ◽  
Vol 209-211 ◽  
pp. 1627-1630 ◽  
Author(s):  
Li Ming Wu ◽  
Xiao Yue Guo

On discussing the value of inundated land the paper points out the problems of existing land evaluation methods and analyses the factors affecting land evaluation as well as discusses the principle of land value assessment. On this basis, the paper put forwards a model based on income approach -- residual method to reflect the true market value of the inundated land.


2013 ◽  
Vol 380-384 ◽  
pp. 2589-2592
Author(s):  
Jun Wei Ge ◽  
Feng Yang ◽  
Yi Qiu Fang

Many of the characteristics of P2P technology such as decentralization, scalability, robustness, high performance and load balancing are in line with the cloud storage design requirements. In this article, it proposesd a cloud storage model based on P2P technology. This model uses multivariate data server architecture, which can effectively solve the bottleneck problem of centralized cloud storage system. Thereby increasing the cloud storage system performance and the quality of cloud storage services, enhance service reliability. In this article, through researching data consistency algorithm named Paxos and the model systems metadata consistency problem, we improve and optimize Basic Paxos making it applied in the model system.


2013 ◽  
Vol 760-762 ◽  
pp. 1197-1201
Author(s):  
Qin Lu He ◽  
Zhan Huai Li ◽  
Le Xiao Wang ◽  
Hui Feng Wang ◽  
Jian Sun

Researches on technologies about testing aggregate bandwidth of file systems in cloud storage systems. Through the memory file system, network file system, parallel file system theory analysis, according to the cloud storage system polymerization bandwidth and concept, developed to cloud storage environment file system polymerization bandwidth test software called FSPoly. In this paper, use FSpoly to luster file system testing, find reasonable test methods, and then evaluations latest development in cloud storage system file system performance by using FSPoly.


2018 ◽  
Vol 7 (2.32) ◽  
pp. 315
Author(s):  
V Naresh ◽  
M Anudeep ◽  
M Saipraneeth ◽  
A Saikumar Reddy ◽  
V Navya

The cloud stockpiling framework, comprising of capacity servers, gives long haul stockpiling administrations on the Internet. Maintaining the data in the cloud computing of third parties generates: serious concern about the confidentiality of data and the reduction of data management costs. Nonetheless, we should give security certifications to outside information. We plan and actualize a protected cloud stockpiling framework that gives secure, secure and available record security for document administration and secure information exchange. It includes foreign files with a file access policy, possibly deleting files, to avoid being denied to anyone with a file access policy. To achieve these security objectives, a set of password keys is implemented that maintain a host (s) or head (s) separately. We offer a twofold edge intermediary coding plan and incorporate it with a decentralized disposal code, which is detailed with a safely Cloud storage framework. The Cloud storage system not only provides a secure and stable search and storage of data, but also allows the user to transfer their data to the user of the backup to another user without the data being returned.  


2014 ◽  
Vol 44 (1) ◽  
pp. 72-85 ◽  
Author(s):  
Annalisa Scacchioli ◽  
Giorgio Rizzoni ◽  
Mutasim A. Salman ◽  
Weiwu Li ◽  
Simona Onori ◽  
...  

2020 ◽  
Vol 14 (3) ◽  
pp. 393-407
Author(s):  
Neelamadhab Padhy ◽  
Raman Kumar Mishra ◽  
Suresh Chandra Satapathy ◽  
K. Srujan Raju

Cloud Computing is widespread to support industrial and academy related applications worldwide. The archival data process in the cloud is one of the challenging tasks. To handle this issue, the authors addressed the model, which allows authenticating the cloud storage using the JOSS (Java Library for Open stack storage) through the authentication URL. To achieve the authentication of the heterogeneous data while uploading into the cloud storage, a proposed model developed using the JOSS. To address this research question and demonstrate our approach, we have created the API for the archival solution in order to authenticate the cloud storage using the JOSS authentication model, providing the authentication URL. It consists of the user id and password for the verification of the user while transmitting the data into the cloud storage. The API is becoming dynamic and complex, and one of the major challenges faced by the developer in order to develop appropriate standalone applicataion interface. The extensible mechanism for authentication requires a URL in order to connect to the cloud storage system. The objective of this paper is to enhance/optimize the rate of transmission to upload the data in the cloud storage using the rclone.


2014 ◽  
Vol 513-517 ◽  
pp. 1984-1988
Author(s):  
Fu Long ◽  
Yun Jiang Yang

For the traditional RAID technology, the single controller controls all the disks, once it fails, and it can easily lead to paralysis of the entire storage system, this paper proposes an approach which is the information dispersed storage system architecture model based on the RAIC. The RAIC storage system uses the scattered information and the cloud storage technology, thus it increases the overall storage system reliability, availability and security.


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