scholarly journals A Blockchain-based Decentralized Electronic Marketplace for Computing Resources

2020 ◽  
Vol 1 (5) ◽  
Author(s):  
Matteo Nardini ◽  
Sven Helmer ◽  
Nabil El Ioini ◽  
Claus Pahl
Keyword(s):  
Cloud Computing ◽  
Point Of View ◽  
Competitive Environment ◽  
Smart Contracts ◽  
Electronic Marketplace ◽  
Technical Point ◽  
Legal Implications ◽  
Crucial Component ◽  
Opening Up

Abstract We propose a framework for building a decentralized electronic marketplace for computing resources. The idea is that anyone with spare capacities can offer them on this marketplace, opening up the cloud computing market to smaller players, thus creating a more competitive environment compared to today’s market consisting of a few large providers. Trust is a crucial component in making an anonymized decentralized marketplace a reality. We develop protocols that enable participants to interact with each other in a fair way and show how these protocols can be implemented using smart contracts and blockchains. We discuss and evaluate our framework not only from a technical point of view, but also look at the wider context in terms of fair interactions and legal implications.

Immunocytochemical methodology for the localization of neuronal antigens at the ultrastructural level

1990 ◽  
Vol 48 (3) ◽  
pp. 876-877
Author(s):  
Jorge Pecci Saavedra ◽  
Mark Connaughton ◽  
Juan José López ◽  
Alicia Brusco
Keyword(s):  
Spinal Cord ◽  
Substantia Nigra ◽  
Polyclonal Antibodies ◽  
Ultrastructural Level ◽  
Point Of View ◽  
Nerve Tissue ◽  
Tissue Fixation ◽  
Optimal Conditions ◽  
Interpeduncular Nucleus ◽  
Technical Point

The use of antibodies as labels for the localization of specific molecules in the nervous systan has been extensively applied in recent years. Both monoand polyclonal antibodies or antisera have been employed. The knowledge of the organization of neuronal connectivities, gliovascular relationships, glioneuronal relationships and other features of nerve tissue has greatly increased.A number of areas of the nervous systan have been analyzed in our laboratory, including the nuclei of the raphe system, the reticular formation, interpeduncular nucleus, substantia nigra, caudate nucleus, putamen, pallidum, spinal cord, pineal gland and others.From a technical point of view, a number of variables needed to be taken into account in order to obtain reliable and reproducible results. The design of the optimal conditions of tissue fixation, embedding, sectioning, dilution of antibodies, and adaptation of Sternberger PAP technique were sane of the parameters taken into account to optimize the results. It is critical that each step of the technique be defined for each particular case.

Localized Irrigation System for Thuja Orientalis in Intensive Culture

2018 ◽  
Vol 20 (1) ◽  
pp. 119-126
Author(s):  
Mădălina Stănescu ◽  
Constantin Buta ◽  
Geanina Mihai ◽  
Lucica Roșu
Keyword(s):  
Irrigation System ◽  
Ornamental Plants ◽  
Point Of View ◽  
First Year ◽  
Intensive Culture ◽  
Technical Point ◽  
Production Factors ◽  
Thuja Orientalis ◽  
Agricultural Farm

Abstract In order to increase the competitiveness of an agricultural holding through the efficient use of the production factors, the modernization of an agricultural farm was carried out by exending the existing greenhouse with at least 700m2 for the intensive cultivation of ornamental plants - Thuja Orientalis. The material is produced by initiating crops in pots, with seedlings grown in pots or transplanting them in pots right after the first year of the multiplication and growing them in containers, appropriate to their size, until reaching their full value. From a technical point of view, reaching the objective will also be possible through a localized irrigation system.

Bayesian Forcasting Model – 2020 Presidential Elections in the United States of America

2021 ◽  
Vol 704 (1) ◽  
pp. 91-104
Author(s):  
Maria Raczyńska
Keyword(s):  
United States ◽  
United States Of America ◽  
Presidential Elections ◽  
Bayesian Models ◽  
The United States ◽  
Point Of View ◽  
Forecasting Model ◽  
Bayesian Forecasting ◽  
Technical Point ◽  
Made In

The article describes and explains a prior centric Bayesian forecasting model for the 2020 US elections.The model is based on the The Economist forecasting project, but strongly differs from it. From the technical point of view, it uses R and Stan programming and Stan software. The article’s focus is on theoretical decisions made in the process of constructing the model and outcomes. It describes why Bayesian models are used and how they are used to predict US presidential elections.

Using Distributed Cloud Computing to Solve Resource-Intensive Tasks

2021 ◽  
Vol 12 (5) ◽  
pp. 233-254
Author(s):  
D. Yu. Bulgakov ◽  
Keyword(s):  
Cloud Computing ◽  
Point Of View ◽  
Free Software ◽  
Production Environment ◽  
Learning Models ◽  
Python Programming Language ◽  
Task Processing ◽  
Python Programming ◽  
Distributed Cloud ◽  
Machine Learning Models

A method for solving resource-intensive tasks that actively use the CPU, when the computing resources of one server become insufficient, is proposed. The need to solve this class of problems arises when using various machine learning models in a production environment, as well as in scientific research. Cloud computing allows you to organize distributed task processing on virtual servers that are easy to create, maintain, and replicate. An approach based on the use of free software implemented in the Python programming language is justified and proposed. The resulting solution is considered from the point of view of the theory of queuing. The effect of the proposed approach in solving problems of face recognition and analysis of biomedical signals is described.

Revolving cards: A financial analysis of the credit repayment and legal implications

2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Salvador Cruz Rambaud ◽  
Salvador Cruz Vargas
Keyword(s):  
Interest Rate ◽  
Credit Card ◽  
Financial Analysis ◽  
Point Of View ◽  
Excessive Amount ◽  
Nominal Interest Rate ◽  
Legal Implications ◽  
Long Duration ◽  
Very High

The framework of this paper is credit card holding by users and consumers, more specifically, the so-called revolving cards. In most cases, the true interest rate applied to a credit is much higher than its nominal interest rate. Usually, this is due to the existence of some fees to be paid by the holder, and to the process of splitting the periods of interest. However, the contracted annual interest rate of revolving cards is very high which, together with the peculiar amortization system, gives rise to an excessive amount of interests. The objective of this paper is to describe and analyze, from a legal and financial point of view, the main characteristics of the credit repayment in revolving cards. We conclude that the complete amortization of the principal needs a long duration and the payment of a high amount of interests.

The Enabling Technologies for Cloud Computing

2014 ◽  
pp. 29-48
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Multicore Processors ◽  
Network Virtualization ◽  
Building Blocks ◽  
Virtual Private Network ◽  
Point Of View ◽  
Private Network ◽  
Security Network ◽  
Networking Security

This chapter explores emerging technologies centered around cloud computing. From the technological point of view, cloud computing was born as a result of the emergence and the convergence of contemporary technologies. This chapter regards technological aspects of cloud. In the software area, Virtualization Technology and Web Services; in the hardware area, shared compute components (i.e., multicore processors); in networking, security, network virtualization, Virtual Private Network (VPN), virtual firewalls, and network overlay are the promising technologies for the future complex computing infrastructures. In this chapter, the authors review these technologies and describe how they contribute to the anatomy and the characteristics of cloud computing. These technologies constitute the building blocks of cloud computing technologies and infrastructures.

Byzantine Fault-Tolerant Architecture in Cloud Data Management

2019 ◽  
pp. 889-902
Author(s):  
Mohammed A. AlZain ◽  
Alice S. Li ◽  
Ben Soh ◽  
Mehedi Masud
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Service Provider ◽  
Fault Tolerant ◽  
Academic Research ◽  
Point Of View ◽  
Cloud Data ◽  
Byzantine Faults ◽  
Byzantine Fault ◽  
Cloud Data Management

One of the main challenges in cloud computing is to build a healthy and efficient storage for securely managing and preserving data. This means a cloud service provider needs to make sure that its clients' outsourced data are stored securely and, data queries and retrievals are executed correctly and privately. On the other hand, it may also mean businesses are willing to outsource their data to a third party only if they trust their data are not accessible and visible to the service provider and other non-authorized parties. However, one of the major obstacles faced here for ensuring data reliability and security is Byzantine faults. While Byzantine fault tolerance (BFT) has received growing attention from the academic research community, the research done is generally from the distributed computing point of view, and hence finds little practical use in cloud computing. To that end, the focus of this paper is to discuss how these faults can be tolerated with the authors' proposed conceptualization of Byzantine data faults and fault-tolerant architecture in cloud data management.

Service Quality and Perceived Value of Cloud Computing-Based Service Encounters

2019 ◽  
pp. 234-247
Author(s):  
Eges Egedigwe
Keyword(s):  
Cloud Computing ◽  
Community Colleges ◽  
Service Quality ◽  
Competitive Environment ◽  
Service Encounters ◽  
Institutional Level ◽  
Computing Services ◽  
Key Stakeholders ◽  
Cloud Computing Services

Cloud computing-based technology is becoming increasingly popular as a way to deliver quality education to community colleges, universities, and other organizations. At the same time, compared with other industries, colleges have been slow on implementing and sustaining cloud computing services on an institutional level because of budget constraints facing many large community colleges, in addition to other obstacles. Faced with this challenge, key stakeholders are increasingly realizing the need to focus on service quality as a measure to improve their competitive position in today's highly competitive environment. Considering the amount of study done with cloud computing in education, very little has been done in examining the needs and the satisfactions of the instructor customer. The purpose of this chapter is to examine the expectations and perceptions of instructors' usage of cloud computing based technology on overall quality of service (QoS) in their respective institutions of higher education.

Face, Image, and Analysis

2010 ◽  
pp. 1-15
Author(s):  
Yu-Jin Zhang ◽  
Yu-Jin Zhang ◽  
J.L. Molina ◽  
R. Giordano ◽  
J. Bromley
Keyword(s):  
Image Analysis ◽  
Face Image ◽  
Research Topic ◽  
Point Of View ◽  
Research Development ◽  
Technical Point ◽  
Face Image Analysis ◽  
Human Faces ◽  
General Technical

Face image analysis, consisting of automatic investigation of images of (human) faces, is a hot research topic and a fruitful field. This introductory chapter discusses several aspects of the history and scope of face image analysis and provides an outline of research development publications of this domain. More prominently, different modules and some typical techniques for face image analysis are listed, explained, described, or summarized from a general technical point of view. One picture of the advancements and the front of this complex and prominent field is provided. Finally, several challenges and prominent development directions for the future are identified.

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