scholarly journals Fuzzy Rule-Based Trust Management Model for the Security of Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Mona Soleymani ◽  
Navid Abapour ◽  
Elham Taghizadeh ◽  
Safieh Siadat ◽  
Rasoul Karkehabadi
Keyword(s):  
Trust Management ◽  
Large Scale ◽  
Model Simulation ◽  
Fuzzy Rule ◽  
Cloud Service ◽  
Management Framework ◽  
Simulation Results ◽  
Main Components ◽  
New Framework

In the last few years, due to the benefit of solving large-scale computational problems, researchers have been developed multicloud infrastructures. The trust-related issue in multiclouds includes more complicated content and new problems. A new trust management framework for multicloud environments is proposed in this article. The proposed framework used a combination of objective and subjective trust values to calculate the cloud service provider’s trust values. This new framework can identify and rectify fake feedbacks from other feedbacks. Another advantage of this framework is applying fuzzy rules to calculate trust values. Two main components of the proposed framework are simulated in this paper. The simulation results confirm the important role of applied components. Also, this paper proposed a framework compared with other frameworks (feedback-based model, SLA-based model, and multicloud model). Simulation results show the proposed framework increased trust values rather than other models. Also, compared with other models, our framework gives better mean trust values.

Study on Improvement Transient Stability of the Large-Scale Wind Farms Integration with STATCOM

2013 ◽  
Vol 385-386 ◽  
pp. 1082-1085 ◽  
Author(s):  
Yan Juan Wu ◽  
Lin Chuan Li ◽  
Fang Zhang
Keyword(s):  
Power System ◽  
Control Strategy ◽  
Large Scale ◽  
Transient Stability ◽  
Reactive Power ◽  
Wind Farms ◽  
Double Loop ◽  
Loop Control ◽  
Simulation Results

In view of a serious threat for the transient stability of the power system being caused by the large-scale wind farms integration, and combining with advantages of STATCOM which can quickly restore the fault voltage and fastly, flexibly and smoothly compensate the reactive power, a method is proposed using STATCOM controller of to improve transient stability of the power system integrated by large-scale wind farms. The control strategy of the STATCOM controller uses adaptive double loop control. The role of the device to improvement transient stability of the power system is studied under the condition of serious fault. by simulation comparison with the condition without STATCOM controller installed at the same place. The simulation results show that the STATCOM controller can clearly improve transient stability of the power system integrated by large-scale wind farms.

scholarly journals The influence of bitcoin ecosystem on digital economy

2018 ◽  
Vol 2 (3) ◽  
pp. 35-44
Author(s):  
Mariana Makarova
Keyword(s):  
Tax Evasion ◽  
Large Scale ◽  
Financial System ◽  
Digital Economy ◽  
Financial Assets ◽  
Historical Aspect ◽  
Electronic Transactions ◽  
Peer Network ◽  
Main Components

 Introduction. Bitcoin is a digital, decentralized, partially anonymous currency, not supported by any government or legal entity and not provided with gold or other goods. It relies on a peer-to-peer network and cryptography to maintain its integrity. The proponents claim that Bitcoin has many properties that could make it an ideal currency for consumers and merchants in a modern digital economy. Aim and tasks. The purpose of article was to determine and analyze impact of  Bitcoin ecosystem on global digital economy. The research objectives were as follows:  to specify the concept of  Bitcoin ecosystem; to study the trends and prospects of cryptocurrencies development;  to determine the role of Bitcoin as an alternative mean of preserving capital for investors – «gold bugs»; to compare the influence of gold and Bitcoin on development of  a world financial system;  to study the importance of  Bitcoin and gold as financial assets of digital economy and the role of Bitcoin as a financial instrument inherent in this economy. Research results. The concept of  Bitcoin ecosystem, its main components, factors and risks of development in historical and logical aspects are considered. The tendencies and prospects of cryptocurrencies  development,  particullary Bitcoin, their influence on traditional E-commerce, conduction of micro-payments, calculations in a  field of virtual games are investigated. The role of  Bitcoin as an alternative mean of capital preservation for a certain type of investors is determined. The comparative analysis of an influence of gold and Bitcoin on development of  world financial system in historical aspect has been carried out. The conclusions are made about  role of cryptocurrency (bitcoin) and gold as financial assets of  digital economy. The role of  Bitcoin as a financial tool corresponding to service requirements of actors of digital economy is determined. Conclusion. In last few years in many countries the large-scale Bitcoin-ecosystem and economy has developed with tens of millions of  Bitcoins which daily change owners in electronic transactions. These funds still have a small amount relative to the rest of  world's trading assets and economy. Today, while the digital currencies work in the semi-legal field in most countries, they may be a danger to national securities laws, be an instrument for tax evasion,  illegal banking,  money laundering, illicit drug trafficking, etc. This ability should be considered as one of the most unsafe risks of the functioning for Bitcoin ecosystem. But this is just the beginning of transformations for globalized system, since both society, economy and finance will become fully digital. The problem now is how to find right application for cryptocurrency, so that it becomes a paradigm of financial trust for humanity, as was previously with gold.

scholarly journals A Potential Framework for Integration of Architecture and Methodology to Improve Statistical Production Systems

2013 ◽  
Vol 29 (1) ◽  
pp. 125-145 ◽  
Author(s):  
John L. Eltinge ◽  
Paul P. Biemer ◽  
Anders Holmberg
Keyword(s):  
Process Model ◽  
Large Scale ◽  
Production Systems ◽  
Statistical Information ◽  
Practical Implementation ◽  
Quality Cost ◽  
Survey Quality ◽  
Main Components ◽  
Governance Processes

Abstract This article outlines a framework for formal description, justification and evaluation in development of architectures for large-scale statistical production systems. Following an introduction of the main components of the framework, we consider four related issues: (1) Use of some simple schematic models for survey quality, cost, risk, and stakeholder utility to outline several groups of questions that may inform decisions on system design and architecture. (2) Integration of system architecture with models for total survey quality (TSQ) and adaptive total design (ATD). (3) Possible use of concepts from the Generic Statistical Business Process Model (GSBPM) and the Generic Statistical Information Model (GSIM). (4) The role of governance processes in the practical implementation of these ideas.

scholarly journals DETERMINANTS OF CLOUD COMPUTING ADOPTION BY ROMANIAN SMES IN THE DIGITAL ECONOMY

2019 ◽  
Vol 20 (4) ◽  
pp. 798-820 ◽  
Author(s):  
Violeta Mihaela Dincă ◽  
Alina Mihaela Dima ◽  
Zoltán Rozsa
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Online Survey ◽  
Cloud Service ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
Scientific Papers ◽  
Cloud Computing Services ◽  
Service Introduction ◽  
Main Components

The purpose of this paper is to explore the process of Cloud Computing adoption within Romanian Small and Medium sized Enterprises in the digital age. Most of the scientific papers related to this topic examine the general outlook of cloud computing implementation in Romania and focus on the use of the afore-mentioned technologies by large scale companies. In order to identify the factors that have an influence over the choice of Romanian SMEs to adopt cloud computing technology, a conceptual model has been set forth. The model’s dependent variable is the choice of the company’s management to implement cloud computing technologies. Five different independent types of variable structures which have an effect on the adoption of cloud computing within SMEs were identified. The five categories of variables are competition & government, ICT providers & firm departments, employee, manager and technological factors. Each of these categories of determinants encompasses at their turn two or more constructs. An online survey tested the model based on the responses of managers and directors from 198 Romanian SMEs from the cities of Bucharest and Cluj. The validity of the model was performed by completing factor analysis and reliability tests of the data; a logistic regression analysis was deployed to test the research hypotheses. The results emphasized that the managers’ know-how on cloud computing and the perceived costs of implementing the technology represent the main components influencing the spreading of cloud computing among Romanian SMEs. This study makes a valuable contribution to the academic environment but to businesses as well. The model can be used to examine the implementation of different innovative applications. Companies which offer cloud computing services could take advantage of the outcomes of this study to expand the degree of cloud service introduction among SMEs.

scholarly journals An integrated three-tier trust management framework in mobile edge computing using fuzzy logic

2021 ◽  
Vol 7 ◽  
pp. e700
Author(s):  
Merrihan B.M. Mansour ◽  
Tamer Abdelkader ◽  
Mohamed Hashem ◽  
El-Sayed M. El-Horbaty
Keyword(s):  
Service Provider ◽  
Trust Management ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Edge Computing ◽  
Trust Value ◽  
Management Framework ◽  
Cloud Service Providers

Mobile edge computing (MEC) is introduced as part of edge computing paradigm, that exploit cloud computing resources, at a nearer premises to service users. Cloud service users often search for cloud service providers to meet their computational demands. Due to the lack of previous experience between cloud service providers and users, users hold several doubts related to their data security and privacy, job completion and processing performance efficiency of service providers. This paper presents an integrated three-tier trust management framework that evaluates cloud service providers in three main domains: Tier I, which evaluates service provider compliance to the agreed upon service level agreement; Tier II, which computes the processing performance of a service provider based on its number of successful processes; and Tier III, which measures the violations committed by a service provider, per computational interval, during its processing in the MEC network. The three-tier evaluation is performed during Phase I computation. In Phase II, a service provider total trust value and status are gained through the integration of the three tiers using the developed overall trust fuzzy inference system (FIS). The simulation results of Phase I show the service provider trust value in terms of service level agreement compliance, processing performance and measurement of violations independently. This disseminates service provider’s points of failure, which enables a service provider to enhance its future performance for the evaluated domains. The Phase II results show the overall trust value and status per service provider after integrating the three tiers using overall trust FIS. The proposed model is distinguished among other models by evaluating different parameters for a service provider.

Large-scale magnetic field of the accretion disks of T Tauri stars

2018 ◽  
Vol 14 (S345) ◽  
pp. 297-298
Author(s):  
Alexander E. Dudorov ◽  
Sergey A. Khaibrakhmanov ◽  
Sergey Yu. Parfenov ◽  
Andrey M. Sobolev
Keyword(s):  
Magnetic Field ◽  
Accretion Disks ◽  
Large Scale ◽  
Young Stars ◽  
T Tauri ◽  
Ionization Structure ◽  
Large Scale Magnetic Field ◽  
Field Geometry ◽  
Simulation Results

AbstractThe large-scale magnetic field in the accretion disks of young stars is investigated. Main features of our magnetohydrodynamical (MHD) model of the accretion disks and typical simulation results are presented. We discuss the role of MHD effects, ionization structure, magnetic field geometry and strength of the accretion disks.

An adaptable distributed trust management framework for large-scale secure service-based systems

Computing ◽  
2013 ◽  
Vol 96 (10) ◽  
pp. 925-949 ◽  
Author(s):  
Stephen S. Yau ◽  
Yisheng Yao ◽  
Arun Balaji Buduru
Keyword(s):  
Trust Management ◽  
Large Scale ◽  
Management Framework ◽  
Distributed Trust Management

The Role of Sense of Direction and Other Factors During Navigation in a Large-Scale, Unconstrained Environment

2013 ◽  
Author(s):  
Elisabeth J. Ploran ◽  
Ericka Rovira ◽  
James C. Thompson ◽  
Raja Parasuraman
Keyword(s):  
Large Scale ◽  
Sense Of Direction

Magnetic Properties of xCeO2•(50 − x) PbO•50B2O3 Glasses and Glass Ceramics

2017 ◽  
Vol 13 (1) ◽  
pp. 4486-4494 ◽  
Author(s):  
G.El Damrawi ◽  
F. Gharghar
Keyword(s):  
Magnetic Properties ◽  
Large Scale ◽  
Glass Ceramics ◽  
Magnetic Behavior ◽  
Crystal Formation ◽  
Dual Roles ◽  
Effective Agent ◽  
Ordered Structures ◽  
Essential Change

Cerium oxide in borate glasses of composition xCeO2·(50 − x)PbO·50B2O3 plays an important role in changing both microstructure and magnetic behaviors of the system. The structural role of CeO2 as an effective agent for cluster and crystal formation in borate network is clearly evidenced by XRD technique. Both structure and size of well-formed cerium separated clusters have an effective influence on the structural properties. The cluster aggregations are documented to be found in different range ordered structures, intermediate and long range orders are the most structures in which cerium phases are involved. The nano-sized crystallized cerium species in lead borate phase are evidenced to have magnetic behavior.  The criteria of building new specific borate phase enriched with cerium as ferrimagnetism has been found to keep the magnetization in large scale even at extremely high temperature. Treating the glass thermally or exposing it to an effective dose of ionized radiation is evidenced to have an essential change in magnetic properties. Thermal heat treatment for some of investigated materials is observed to play dual roles in the glass matrix. It can not only enhance alignment processes of the magnetic moment but also increases the capacity of the crystallite species in the magnetic phases. On the other hand, reverse processes are remarked under the effect of irradiation. The magnetization was found to be lowered, since several types of the trap centers which are regarded as defective states can be produced by effect of ionized radiation. 

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