CCDEA: Consumer and Cloud – DEA Based Trust Assessment Model for the Adoption of Cloud Services

Raja, S.; Ramaiah, Saravanan

doi:10.1515/cait-2016-0034

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…The efficiency of cloud computing providers was evaluated based on the assumption of the noncooperative game among cloud computing providers in which providers selfishly choose the best strategy to maximize their payoff with three stages (Wang et al, 2021). Raja and Ramaiah (2016) built up a consumer and cloud-data envelopment analysis (CCDEA) trust assessment model for evaluating cloud services in two stages. In the first stage, the believability index of each cloud consumer (C) was calculated.…”

Section: Research and Related Theories Prior Research Analysismentioning

confidence: 99%

“…In the first stage, the believability index of each cloud consumer (C) was calculated. The second stage incorporated a cloud-data envelopment analysis (C-DEA) model for the trust assessment of cloud services from the viewpoint of cloud consumers (Raja & Ramaiah, 2016). Kao et al (2017) intended to develop alternative network data envelopment analysis (NDEA) models for evaluating cloud service businesses.…”

Section: Research and Related Theories Prior Research Analysismentioning

confidence: 99%

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A Study on the Operational Efficiency of National Supercomputer Resources Based on DEA Model

Shim,

Hahm

2024

International Journal of Asian Business and Information Management

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As a measure to improve the operational efficiency of the Korean supercomputer joint utilization resources, an efficiency analysis using DEA was conducted to derive the improvement level of the input and output factors of the operation plans of seven specialized centers. The factors that constitute the objective function of efficiency were identified through the operation plans submitted by the specialized centers, and DEA analyzed the improvement factors and levels of inefficient specialized centers through the CCR and BCC models, and then conducted an additional super-efficiency analysis to compare the relative efficiency levels among the efficiency groups. As a result of the analysis, the inefficiency of specialized centers in the meteorological/climate/environmental fields was identified from the reference group, and the need for improvement and the level of improvement of input and output variables were identified. In addition, the authors suggested ways to improve the establishment of resources and operational targets, such as a joint utilization ratio to secure financial efficiency at the government level in establishing a joint utilization resource.

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Section: Research and Related Theories Prior Research Analysismentioning

confidence: 99%

Section: Research and Related Theories Prior Research Analysismentioning

confidence: 99%

A Study on the Operational Efficiency of National Supercomputer Resources Based on DEA Model

Shim,

Hahm

2024

International Journal of Asian Business and Information Management

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“…The work of Raja & Ramaiah (2016) proposed the consumer and cloud DEA (CCDEA) model. CCDEA is an evaluation framework for the trust assessment of CSPs based on n-levels,…”

Section: Dea and Their Models Applied To Solve Cloud-computing Problemsmentioning

confidence: 99%

Optimising virtual networks over time by using Windows Multiplicative DEA model

Júnior

Emrouznejad

Dias

et al. 2019

Expert Systems with Applications

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Recently, the prediction of the most efficient configuration of a vast set of devices used for mounting an optimised cloud computing services and virtual networks environments have attracted growing attention. This paper proposes a paradigm shift in modelling transmission control protocol (TCP) behaviour over time in virtual networks by using data envelopment analysis (DEA) models. Firstly, it proves that self-similarity with long-range dependency is presented differently in every network device. This study implements a novel fractal dimension concept on virtual networks for prediction, where this key index informs if the transport layer forwards services with smooth or jagged behaviour over time. Another substantial contribution is proving that virtual network devices have a distinct fractal memory, TCP bandwidth performance, and fractal dimension over time, presenting themselves as important factor for forecasting of spatiotemporal data. Thus, a continuous stepwise fractal performance evaluation framework methodology is developed as an expert system for virtual network assessment and performs a fractal analysis as a knowledge representation. In addition, due to the limitations of classical DEA models, the windows multiplicative data envelopment analysis (WMDEA) model is used to dynamically assess the fractal time series from virtual network hypervisors. For knowledge acquisition, 50 different virtual network hypervisors were appraised as decisionmaking units (DMU). Finally, this expert system also acts as a math hypervisor capable of determining the correct fractal pattern to follow when delivering TCP services in an optimised virtual network.

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“…The cloud service provider trust index score is a critical problem in cloud security. This is because cloud customers entrust their sensitive data to vendors who must be truthful (2). Trust Manager ensures reliable and error-free operation of computer networks by providing actionable insights for identifying and assessing network user trustworthiness.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Approaches of Trustability and Issues in Cloud Computing

Singh¹,

Kaur²,

Gupta³

2022

ECS Trans.

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Cloud computing is a technology still used today. The cloud is used by a large number of people and can belong to any organization. There are many issues, such as security, trust, and reliability. To help end-users and protect them from various attacks, there is a need to analyze the existing Trustability methods. The word "Trustability" comes from two factors: trust and reliability. In a cloud environment, one needs to design a framework that calculates Trustability. But first, there is a need to analyze and apply current Trustability methods. Trustability factor that determines how reliable a device is for a given attack. The trust management system provides support to cloud administrators and customers. This article analyzes the current problems of cloud computing and applies the Trustability method.

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CCDEA: Consumer and Cloud – DEA Based Trust Assessment Model for the Adoption of Cloud Services

Cited by 4 publications

References 24 publications

A Study on the Operational Efficiency of National Supercomputer Resources Based on DEA Model

A Study on the Operational Efficiency of National Supercomputer Resources Based on DEA Model

Optimising virtual networks over time by using Windows Multiplicative DEA model

Analysis of Approaches of Trustability and Issues in Cloud Computing

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