Towards a Secure Dynamic Allocation of Files in Large Scale Distributed File Systems

2005 ◽  
Author(s):  
G. Zanin ◽  
A. Mei ◽  
L.V. Mancini
Keyword(s):  
Large Scale ◽  
File Systems ◽  
Distributed File Systems ◽  
Dynamic Allocation

scholarly journals Parallel network file systems using authenticated key exchange protocols

2017 ◽  
Vol 2 (3) ◽  
pp. 161
Author(s):  
S. Sathya ◽  
M. Ranjith Kumar ◽  
K. Madheswaran
Keyword(s):  
Large Scale ◽  
File Systems ◽  
Key Exchange ◽  
Distributed File Systems ◽  
Authenticated Key Exchange ◽  
Forward Secrecy ◽  
Storage Devices ◽  
Key Exchange Protocols ◽  
Parallel Network ◽  
Metadata Server

The keyestablishment for secure many-to-many communications is very important nowadays. The problem is inspired by the proliferation of large-scale distributed file systems supporting parallel access to multiple storage devices. In this, a variety of authenticated key exchange protocols that are designed to address the issues. This shows that these protocols are capable of reducing the workload of the metadata server and concurrently supporting forward secrecy and escrow-freeness. All this requires only a small fraction of increased computation overhead at the client. This proposed three authenticated key exchange protocols for parallel network file system (pNFS). The protocols offer three appealing advantages over the existing Kerberos-based protocol. First, the metadata server executing these protocols has much lower workload than that of the Kerberos-based approach. Second, two of these protocols provide forward secrecy: one is partially forward secure (with respect to multiple sessions within a time period), while the other is fully forward secure (with respect to a session). Third, designed a protocol which not only provides forward secrecy, but is also escrow-free.

An Efficient Ring-Based Metadata Management Policy for Large-Scale Distributed File Systems

2019 ◽  
Vol 30 (9) ◽  
pp. 1962-1974 ◽  
Author(s):  
Yuanning Gao ◽  
Xiaofeng Gao ◽  
Xiaochun Yang ◽  
Jiaxi Liu ◽  
Guihai Chen
Keyword(s):  
Large Scale ◽  
File Systems ◽  
Management Policy ◽  
Metadata Management ◽  
Distributed File Systems

A Highly Reliable Metadata Service for Large-Scale Distributed File Systems

2020 ◽  
Vol 31 (2) ◽  
pp. 374-392 ◽  
Author(s):  
Jiang Zhou ◽  
Yong Chen ◽  
Weiping Wang ◽  
Shuibing He ◽  
Dan Meng
Keyword(s):  
Large Scale ◽  
File Systems ◽  
Distributed File Systems ◽  
Metadata Service

Name transparency in very large scale distributed file systems

2002 ◽  
Author(s):  
R.G. Guy ◽  
T.W. Page ◽  
J.S. Heidemann ◽  
G.J. Popek
Keyword(s):  
Large Scale ◽  
File Systems ◽  
Distributed File Systems

An Adaptive Performance Prediction Method of Distributed File System Based on Performance Correlation

2014 ◽  
Vol 998-999 ◽  
pp. 1362-1365
Author(s):  
Wei Feng Gao ◽  
Tie Zhu Zhao ◽  
Ming Bin Lin
Keyword(s):  
Prediction Model ◽  
Performance Prediction ◽  
Large Scale ◽  
File System ◽  
File Systems ◽  
Prediction Method ◽  
Distributed File System ◽  
Distributed File Systems ◽  
Continuous Growth ◽  
Modeling And Analysis

Distributed file systems are emerging as a key component of large scale cloud storage platform due to the continuous growth of the amount of application data. Performance modeling and analysis is an important concern in the distributed file system area. This paper focuses on the performance prediction and modeling issues. An adaptive prediction model (APModel) is proposed to predict the performance of distributed file systems by capturing the performance correlation of different performance factors. We perform a series of experiments to validate the proposed prediction model. The experiment results indicate our proposed approach can get better prediction accuracy. It is practical and can achieve sufficient performance analysis for distributed file systems.

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