scholarly journals An Optimized Replica Distribution Method in Cloud Storage System

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Yan Wang ◽  
Jinkuan Wang
Keyword(s):  
Response Time ◽  
Information Acquisition ◽  
Cloud Storage ◽  
Storage Systems ◽  
Markov Chain Model ◽  
Storage System ◽  
Data Access ◽  
Chain Model ◽  
Distribution Method ◽  
Acquisition Method

Aiming at establishing a shared storage environment, cloud storage systems are typical applications of cloud computing. Therefore, data replication technology has become a key research issue in storage systems. Considering the performance of data access and balancing the relationship between replica consistency maintenance costs and the performance of multiple replicas access, the methods of replica catalog design and the information acquisition method are proposed. Moreover, the deputy catalog acquisition method to design and copy the information is given. Then, the nodes with the global replica of the information replicate data resources, which have the high access frequency and the long response time. Afterwards, the Markov chain model is constructed. And a matrix geometric solution is used to export the steady-state solution of the model. The performance parameters in terms of the average response time, finish time, and the replica frequency are given to optimize the number of replicas in the storage system. Finally, numerical results with analysis are proposed to demonstrate the influence of the above parameters on the system performance.

Content Centric Storage and Current Storage Systems

2013 ◽  
pp. 27-46
Author(s):  
Michael C. Jaeger ◽  
Uwe Hohenstein
Keyword(s):  
Cloud Storage ◽  
Storage Systems ◽  
Storage System ◽  
Data Access ◽  
Database Systems ◽  
Point Of View ◽  
Object Relational ◽  
Relational Database Systems ◽  
The One ◽  
The Right

Content-centric storage represents an approach for handling large amounts of data. It is one of the innovations pursued by the VISION Cloud project. The goal of the VISION Cloud project is the development of an industry grade storage system using cloud technology. The envisaged use of the VISION Cloud involves the storage and management of millions of data items, potentially several hundreds of terabytes in size. On the one hand, the technical foundations must be capable of efficiently storing such an amount of data. On the other hand, the VISION Cloud must provide adequate means of an API for allowing the efficient navigation, search, and access for the right data item in this storage. For the latter purpose, VISION Cloud provides a data access layer, which is called “Content Centric Interface.” Applications can use this data access layer for accessing the VISION Cloud storage from a content-centric point of view, abstracted from actual storage representation. The content centric interface is different from existing cloud storage interfaces and is similar, from an architectural point of view, to object relational mapping frameworks for traditional applications with relational database systems.

DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems

2013 ◽  
Vol 8 (11) ◽  
pp. 1790-1801 ◽  
Author(s):  
Kan Yang ◽  
Xiaohua Jia ◽  
Kui Ren ◽  
Bo Zhang ◽  
Ruitao Xie
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Storage Systems ◽  
Data Access ◽  
Data Access Control

scholarly journals Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)

2019 ◽  
Vol 8 (12S) ◽  
pp. 986-990
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Data Access ◽  
Data File ◽  
Data Deduplication ◽  
Efficient Technology ◽  
Data Access Control ◽  
Content Discovery

Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems.Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches

Confidential Data Storage Systems for Wearable Platforms

2018 ◽  
pp. 65-83
Author(s):  
Mingzhong Wang ◽  
Don Kerr
Keyword(s):  
Data Storage ◽  
Flash Memory ◽  
Cloud Storage ◽  
Storage Systems ◽  
Storage System ◽  
Security And Privacy ◽  
Storage Solutions ◽  
Confidential Data ◽  
Wearable Products ◽  
Confidentiality Protection

With the features of mobility, reality augmentation, and context sensitivity, wearable devices are widely deployed into various domains. However, the sensitivity of collected data makes security and privacy protection one of the first priority in the advancement of wearable technologies. This chapter provides a study on encryption-based confidentiality protection for data storage systems in wearable platforms. The chapter first conducts a review to storage solutions in consumer wearable products and explores a two-tier, local flash memory and remote cloud storage, storage system in wearable platforms. Then encryption-based confidentiality protection and implementation methods for both flash memory and remote cloud storage are summarized. According to the interaction and integration of these two components, a categorization of confidential storage systems in wearable platforms is proposed. In addition, the benefits and selection criteria for each category are also discussed.

Confidential Data Storage Systems for Wearable Platforms

2016 ◽  
pp. 74-97
Author(s):  
Mingzhong Wang ◽  
Don Kerr
Keyword(s):  
Data Storage ◽  
Flash Memory ◽  
Cloud Storage ◽  
Storage Systems ◽  
Storage System ◽  
Security And Privacy ◽  
Storage Solutions ◽  
Confidential Data ◽  
Wearable Products ◽  
Confidentiality Protection

With the features of mobility, reality augmentation, and context sensitivity, wearable devices are widely deployed into various domains. However, the sensitivity of collected data makes security and privacy protection one of the first priority in the advancement of wearable technologies. This chapter provides a study on encryption-based confidentiality protection for data storage systems in wearable platforms. The chapter first conducts a review to storage solutions in consumer wearable products and explores a two-tier, local flash memory and remote cloud storage, storage system in wearable platforms. Then encryption-based confidentiality protection and implementation methods for both flash memory and remote cloud storage are summarized. According to the interaction and integration of these two components, a categorization of confidential storage systems in wearable platforms is proposed. In addition, the benefits and selection criteria for each category are also discussed.

Design and Evaluation of Bupt-Cloud-Storage System

2012 ◽  
Vol 566 ◽  
pp. 560-567
Author(s):  
Li Feng Zhou ◽  
Wen Bin Yao ◽  
De Yan Jiang ◽  
Cong Wang
Keyword(s):  
Cloud Storage ◽  
Large Scale ◽  
Storage System ◽  
Data Access ◽  
Experimental Results ◽  
Mass Storage ◽  
Storage Devices ◽  
Concurrent Control

Cloud storage, which is composed of a large number storage devices and servers, provides large-scale flexible storage services through Internet. BCSS (Bupt-Cloud-Storage System) based on some cheap irresponsible PCs is designed as a mass storage platform to offer high reliable and available storage services. Meanwhile, it improves performance of data access by providing support of multi-user concurrent control. The experimental results verify efficiency of storage services and the performance of BCSS.

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