Dynamic data storage in FORTRAN

1990 ◽  
Vol 67 (6) ◽  
pp. 500
Author(s):  
Alice Chung-Phillips
Keyword(s):  
Data Storage ◽  
Dynamic Data

Identity-Based Dynamic Data Auditing for Big Data Storage

2019 ◽  
pp. 1-1
Author(s):  
Tao Shang ◽  
Feng Zhang ◽  
Xingyue Chen ◽  
Jianwei Liu ◽  
Xinxi Lu
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Dynamic Data ◽  
Identity Based ◽  
Data Auditing ◽  
Big Data Storage

scholarly journals A note on dynamic data storage in FORTRAN IV

1975 ◽  
Vol 18 (4) ◽  
pp. 342-343 ◽  
Author(s):  
A. Chung-Phillips
Keyword(s):  
Data Storage ◽  
Dynamic Data

Effective Data Storage and Dynamic Data Auditing Scheme for Providing Distributed Services in Federated Cloud

2020 ◽  
Vol 29 (16) ◽  
pp. 2050259
Author(s):  
A. M. Sermakani ◽  
D. Paulraj
Keyword(s):  
Data Storage ◽  
Input Data ◽  
Data Access ◽  
Retrieval Algorithm ◽  
Public Cloud ◽  
Dynamic Data ◽  
Storage And Retrieval ◽  
Cloud Database ◽  
Private And Public ◽  
Data Auditing

Recently, many organizations and industries are using the cloud computing technologies for exchanging the resources and their confidential data. For this purpose, many cloud services are available and also provide the facility to categorize their users as private and public users for accessing their own data from private cloud and public cloud. The combination of these two clouds is called federated cloud which facilitates to allow both kinds of cloud users for accessing their own data on same cloud database. In this scenario, the authorization and authentication process is becoming complex task on cloud. For providing the facility to access their own data only from federated cloud, a new secured data storage and retrieval algorithm called AES and Triple-DES-based Secured Storage and Retrieval Algorithm (ATDSRA) are proposed for storing the private and public cloud user’s data securely on cloud database. Here, the TDES is used for encrypting the input data, data merging and aggregation methods were used for grouping the encrypted input data. Moreover, a new dynamic data auditing scheme called CRT-based Dynamic Data Auditing Algorithm (CRTDDA) is proposed for conducting the cloud data auditing over the federated cloud and also restricting the data access. The proposed new auditing mechanism that is able to protect the stored data from access violence. In addition, the standard Table64 is used for encryption and decryption processes. The experimental results of this work proves the efficiency of the proposed model in terms of security level.

Global communications and expert systems in thermodynamics: Connecting property measurement and chemical process design

2005 ◽  
Vol 77 (8) ◽  
pp. 1349-1367 ◽  
Author(s):  
Michael Frenkel
Keyword(s):  
Experimental Data ◽  
Data Storage ◽  
Thermodynamic Data ◽  
Data Evaluation ◽  
Thermochemical Property ◽  
Dynamic Data ◽  
Data Infrastructure ◽  
Software Products ◽  
Pure Compounds ◽  
Global Communications

Unprecedented growth in the number of custom-designed software tools for engineering applications has created an interoperability problem between the formats and structures of thermodynamic data files and required input/output structures designed for application software products. Various approaches for standardization of thermophysical and thermochemical property data storage and exchange are analyzed in this paper. Emphasis is made on the development of the XML-based IUPAC standard for thermodynamic data communications: ThermoML. A new process for global data submission and dissemination in the field of thermodynamics based on ThermoML and Guided Data Capture software is described. Establishment of the global submission and dissemination process for thermodynamic data lays the foundation for implementation of the new concept of dynamic data evaluation formulated at NIST/TRC, which requires the development of large electronic databases capable of storing essentially all “raw” experimental data known to date with detailed descriptions of relevant metadata and uncertainties. The combination of these databases with expert software designed primarily to generate recommended data based on available “raw” experimental data and their uncertainties leads to the possibility of producing data compilations automatically “to order”, forming a dynamic data infrastructure. Implementation of the dynamic data evaluation concept for pure compounds in the new NIST/TRC ThermoData Engine software is discussed.

Dynamic data auditing scheme for big data storage

2019 ◽  
Vol 14 (1) ◽  
pp. 219-229 ◽  
Author(s):  
Xingyue Chen ◽  
Tao Shang ◽  
Feng Zhang ◽  
Jianwei Liu ◽  
Zhenyu Guan
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Dynamic Data ◽  
Data Auditing ◽  
Big Data Storage

scholarly journals Data transformation as a means towards dynamic data storage and polyglot persistence

2017 ◽  
Vol 27 (4) ◽  
pp. e1976 ◽  
Author(s):  
Thomas Vanhove ◽  
Merlijn Sebrechts ◽  
Gregory Van Seghbroeck ◽  
Tim Wauters ◽  
Bruno Volckaert ◽  
...  
Keyword(s):  
Data Storage ◽  
Data Transformation ◽  
Dynamic Data

scholarly journals Dynamic Data Migration in Hybrid Main Memories for In-Memory Big Data Storage

ETRI Journal ◽  
2014 ◽  
Vol 36 (6) ◽  
pp. 988-998 ◽  
Author(s):  
Hai Thanh Mai ◽  
Kyoung Hyun Park ◽  
Hun Soon Lee ◽  
Chang Soo Kim ◽  
Miyoung Lee ◽  
...  
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Data Migration ◽  
Dynamic Data ◽  
Big Data Storage
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