scholarly journals Improving Data Integrity and Performance of Cryptographic Structured Log File Systems

2012 ◽  
pp. 73-83
Author(s):  
Genti Daci ◽  
Megi Shyle
Keyword(s):  
File Systems ◽  
Data Integrity ◽  
Log File ◽  
And Performance

scholarly journals Flexibility and performance of parallel file systems

1996 ◽  
Vol 30 (2) ◽  
pp. 63-73 ◽  
Author(s):  
David Kotz ◽  
Nils Nieuwejaar
Keyword(s):  
File Systems ◽  
Parallel File Systems ◽  
Parallel File ◽  
And Performance

scholarly journals Performance Evaluations of Distributed File Systems for Scientific Big Data in FUSE Environment

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1471
Author(s):  
Jun-Yeong Lee ◽  
Moon-Hyun Kim ◽  
Syed Asif Raza Raza Shah ◽  
Sang-Un Ahn ◽  
Heejun Yoon ◽  
...  
Keyword(s):  
Data Storage ◽  
Scale Up ◽  
File Systems ◽  
Performance Evaluations ◽  
Distributed File Systems ◽  
Data Intensive Computing ◽  
Data Intensive ◽  
Tremendous Amount ◽  
Computing Environments ◽  
And Performance

Data are important and ever growing in data-intensive scientific environments. Such research data growth requires data storage systems that play pivotal roles in data management and analysis for scientific discoveries. Redundant Array of Independent Disks (RAID), a well-known storage technology combining multiple disks into a single large logical volume, has been widely used for the purpose of data redundancy and performance improvement. However, this requires RAID-capable hardware or software to build up a RAID-enabled disk array. In addition, it is difficult to scale up the RAID-based storage. In order to mitigate such a problem, many distributed file systems have been developed and are being actively used in various environments, especially in data-intensive computing facilities, where a tremendous amount of data have to be handled. In this study, we investigated and benchmarked various distributed file systems, such as Ceph, GlusterFS, Lustre and EOS for data-intensive environments. In our experiment, we configured the distributed file systems under a Reliable Array of Independent Nodes (RAIN) structure and a Filesystem in Userspace (FUSE) environment. Our results identify the characteristics of each file system that affect the read and write performance depending on the features of data, which have to be considered in data-intensive computing environments.

ECFS

2012 ◽  
Vol 6 (2) ◽  
pp. 53-63 ◽  
Author(s):  
U. S. Rawat ◽  
Shishir Kumar
Keyword(s):  
File System ◽  
User Authentication ◽  
File Systems ◽  
Public Key Cryptography ◽  
File Sharing ◽  
Public Key ◽  
Kernel Space ◽  
Access Control List ◽  
Secure Protocol ◽  
And Performance

Proposed is a secure and efficient approach for designing and implementing an enterprise-class cryptographic file system for Linux (ECFS) in kernel-space. It uses stackable file system interface to introduce a layer for encrypting files using symmetric keys, and public-key cryptography for user authentication and file sharing, like other existing enterprise-class cryptographic file systems. It differs itself from existing systems by including all public-key cryptographic operations and public-key infrastructure (PKI) support in kernel-space that protects it from attacks that may take place with a user-space PKI support. It has a narrower domain of trust than existing systems. It uses XTS mode of AES algorithm for file encryption for providing better protection and performance. It also uses kernel-keyring service for improving performance. It stores the cryptographic metadata in file’s access control list (ACL) as extended attributes to ease the task of file sharing. A secure protocol has also been designed and implemented to guard against various possible attacks, when its files are accessed remotely over an untrusted network.

A New Delegation Provable Data Possession in Public Cloud Storage

2014 ◽  
Vol 644-650 ◽  
pp. 2239-2244
Author(s):  
Bin Li ◽  
Chen Lei Cao ◽  
Jian Yi Liu ◽  
Jin Xia Wei
Keyword(s):  
Performance Analysis ◽  
Cloud Storage ◽  
Security Analysis ◽  
Data Integrity ◽  
Public Cloud ◽  
Provable Data Possession ◽  
Integrity Verification ◽  
And Performance ◽  
Remote Data

Though Cloud storage has developed rapidly in recent years, there still exist some problems obviously. Provable Data Possession (PDP) is proposed to solve the problem of data integrity verification at untrusted cloud stores. This study built a new delegation Provable Data Possession (delegation-PDP), which solves problem when the client has no ability to check its remote data. We study the delegation-PDP and use proxy re-encryption to design it. Then we use the improved Elgamal-based algorithm to implement the scheme. Through security analysis and performance analysis, our protocol is provable secure and efficient.

Ensuring Data Integrity Scheme Based on Digital Signature and Iris Features in Cloud

2016 ◽  
Vol 2 (2) ◽  
pp. 452
Author(s):  
Salah H. Abbdal ◽  
Thair A. Kadhim ◽  
Zaid Ameen Abduljabbar ◽  
Zaid Alaa Hussien ◽  
Ali A. Yassin ◽  
...  
Keyword(s):  
Digital Signature ◽  
Iris Recognition ◽  
Cost Effective ◽  
Data Integrity ◽  
Cloud Service ◽  
Individual Identification ◽  
Identity Verification ◽  
Effective Manner ◽  
And Performance ◽  
Verification Systems

Cloud computing is a novel paradigm that allows users to remotely access their data through web- based tools and applications. Later, the users do not have the ability to monitor or arrange their data. In this case, many security challenges have been raised. One of these challenges is data integrity. Contentiously, the user cannot access his data directly and he could not know whether his data is modified or not. Therefore, the cloud service provider should provide efficient ways for the user to ascertain whether the integrity of his data is protected or compromised. In this paper, we focus on the problem of ensuring the integrity of data stored in the cloud. Additionally, we propose a method which combines biometric and cryptography techniques in a cost-effective manner for data owners to gain trust in the cloud. We present efficient and secure integrity based on the iris feature extraction and digital signature.  Iris recognition has become a new, emergent approach to individual identification in the last decade. It is one of the most accurate identity verification systems. This technique gives the cloud user more confidence in detecting any block that has been changed. Additionally, our proposed scheme employs user’s iris features to secure and integrate data in a manner difficult for any internal or external unauthorized entity to take or compromise it. Iris recognition is an internal organ that is well protected against damage and wear by a highly transparent and sensitive membrane. Extensive security and performance analysis show that our proposed scheme is highly efficient and provably secure.

scholarly journals An Empirical Evaluation of NVM-Aware File Systems on Intel Optane DC Persistent Memory Modules

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1977
Author(s):  
Guangyu Zhu ◽  
Jaehyun Han ◽  
Sangjin Lee ◽  
Yongseok Son
Keyword(s):  
Data Management ◽  
Empirical Evaluation ◽  
File Systems ◽  
Data Management System ◽  
Nand Flash ◽  
Storage Devices ◽  
Persistent Memory ◽  
Memory Modules ◽  
And Performance ◽  
And Storage

The emergence of non-volatile memories (NVM) brings new opportunities and challenges to data management system design. As an important part of the data management systems, several new file systems are developed to take advantage of the characteristics of NVM. However, these NVM-aware file systems are usually designed and evaluated based on simulations or emulations. In order to explore the performance and characteristics of these file systems on real hardware, in this article, we provide an empirical evaluation of NVM-aware file systems on the first commercially available byte-addressable NVM (i.e., the Intel Optane DC Persistent Memory Module (DCPMM)). First, to compare the performance difference between traditional file systems and NVM-aware file systems, we evaluate the performance of Ext4, XFS, F2FS, Ext4-DAX, XFS-DAX, and NOVA file systems on DCPMMs. To compare DCPMMs with other secondary storage devices, we also conduct the same evaluations on Optane SSDs and NAND-flash SSDs. Second, we observe how remote NUMA node access and device mapper striping affect the performance of DCPMMs. Finally, we evaluate the performance of the database (i.e., MySQL) on DCPMMs with Ext4 and Ext4-DAX file systems. We summarize several observations from the evaluation results and performance analysis. We anticipate that these observations will provide implications for various memory and storage systems.

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