Please use this identifier to cite or link to this item:
Title: Optimal data allocation method considering privacy enhancement using E-CARGO
Authors: Peng, Chengyu
Keywords: Allocation;strategy;collaboration;E-CARGO;Group Role Assignment (GRA);privacy;green computing
Issue Date: 19-Apr-2023
Abstract: With the rise in popularity of cloud computing, there is a growing trend toward the storage of data in a cloud environment. However, there is a significant increase in the risk of privacy information leakage, and users could face serious challenges as a result of data leakage. In this paper, we propose an allocation scheme for the storage of data in a collaborative edge-cloud environment, with a focus on enhanced data privacy. In addition, we explore an extended application of the approach to sourcing. Specifically, we first evaluate the datasets and servers. We then introduce several constraints and use the Environments-Classes, Agents, Roles, Groups, and Objects (E-CARGO) model to formalize the problem. Based on the qualification value, we can find the optimal allocation using the IBM ILOG CPLEX Optimization (CPLEX) Package. At a given scale, the allocation scheme scores based on our method improve by about 50% compared to the baseline method and the trust-based method. Moreover, we use a similar approach to analyze procurement issues in the supply chain to help companies reduce the carbon emissions. This shows that our proposed solution can store data in servers that better suit their requirements and is adaptable to other problems.
Appears in Collections:Computational Sciences - Master's theses

Files in This Item:
File Description SizeFormat 
Thesis paper Chengyu Peng.pdf1.23 MBAdobe PDFThumbnail

Items in LU|ZONE|UL are protected by copyright, with all rights reserved, unless otherwise indicated.