A data management model for collaborative design in a CAD environment

1997 ◽  
Vol 13 (2) ◽  
pp. 65-86 ◽  
Author(s):  
K. Krishnamurthy ◽  
K. H. Law
Keyword(s):  
Data Management ◽  
Collaborative Design ◽  
Management Model

Version Management in a CAD Paradigm

1995 ◽  
Author(s):  
Karthik Krishnamurthy ◽  
Kincho H. Law
Keyword(s):  
Change Management ◽  
Data Management ◽  
Engineering Design ◽  
Design Process ◽  
Collaborative Design ◽  
Management Model ◽  
Version Management ◽  
Independent Evolution ◽  
Support Engineering ◽  
Management Capabilities

Abstract This paper describes the change management capabilities of a data management model to support engineering design. Specifically, it addresses the problem of detecting changes made to a design during a CAD session and efficiently maintains an evolving description of a primitive entity through the design process. We propose a hierarchical versioning model to support the independent evolution of alternative deigns for a primitive entity and provide operators to store and manage changes among versions in a particular derivation hierarchy. In addition, we present a scheme to represent the version model in a CAD paradigm. The version model presented in this paper is a component of a larger data management model of versions, assemblies, configurations to address the change management needs of collaborative design.

scholarly journals Data Management Model Selection: IT Professionals’ Preferences

2015 ◽  
Author(s):  
Gholam Shaykhian ◽  
Mohd Khairi ◽  
Jinan Ziade
Keyword(s):  
Model Selection ◽  
Data Management ◽  
Management Model ◽  
It Professionals

Multi-Cloud Data Management Using Shamir's Secret Sharing and Quantum Byzantine Agreement Schemes

2016 ◽  
pp. 1205-1222
Author(s):  
Mohammed A. AlZain ◽  
Alice S. Li ◽  
Ben Soh ◽  
Eric Pardede
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Data Management ◽  
Data Storage ◽  
Secret Sharing ◽  
Byzantine Agreement ◽  
Management Model ◽  
Cloud Data ◽  
Cloud Data Management ◽  
Multi Cloud

Cloud computing is a phenomenal distributed computing paradigm that provides flexible, low-cost on-demand data management to businesses. However, this so-called outsourcing of computing resources causes business data security and privacy concerns. Although various methods have been proposed to deal with these concerns, none of these relates to multi-clouds. This paper presents a practical data management model in a public and private multi-cloud environment. The proposed model BFT-MCDB incorporates Shamir's Secret Sharing approach and Quantum Byzantine Agreement protocol to improve trustworthiness and security of business data storage, without compromising performance. The performance evaluation is carried out using a cloud computing simulator called CloudSim. The experimental results show significantly better performance in terms of data storage and data retrieval compared to other common cloud cryptographic based models. The performance evaluation based on CloudSim experiments demonstrates the feasibility of the proposed multi-cloud data management model.

Research on Data Storage Structure and Management Model in Hierarchical Storage

2010 ◽  
Vol 121-122 ◽  
pp. 198-203
Author(s):  
Yan Chun ◽  
Sheng Xi Li ◽  
Ya Zhou Li
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Management Model ◽  
Storage Structure ◽  
Mass Data ◽  
Hierarchical Storage ◽  
Evaluation Of Data ◽  
Structure Evaluation

As hierarchical storage is one of the highlights in researching and realizing of mass data storage, this paper mainly describes a study on data storage structure, evaluation of data importance and data management model of hierarchical storage.

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