Book Chapter10.1007/978-3-030-71270-9_4
Cloud Computing Concepts
Pramod Gupta,Naresh K. Sehgal +1 more
- 01 Jan 2021
- pp 101-112
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TL;DR: In this paper, the authors examine the evolution of cloud computing and how the history of computing has swung between remote and local computers using NIST definition to examine five essential features of any cloud computing service.
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Abstract: This chapter examines the evolution of cloud computing and how the history of computing has swung between remote and local computers. It uses NIST definition to examine five essential features of any cloud computing service. Then the three service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are examined. Furthermore, we look into the deployment models of private, community, public, and hybrid clouds. Next, we will study the value-added chain of various cloud stakeholders, including their pain points. Lastly, a case will be made for conducting AI and ML in cloud. It will include a workflow for creating an ML model, with some real-life examples. We wrap up this chapter by looking at the future trends that include targeted hardware.
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Citations
Cloud Computing in natural hazard modeling systems: Current research trends and future directions
TL;DR: A conceptual Cloud-based solution framework for more effective natural hazards modeling and management systems using Cloud infrastructure in conjunction with other technologies such as Internet of Things (IoT) networks, fog, and edge computing is outlined.
84
Exploring the Challenges for Adopting the Cloud PLM in Manufacturing Organizations
Shikha Singh,Subhas C. Misra +1 more
TL;DR: The present paper uniquely identifies the critical challenges for cloud PLM adoption in large manufacturing firms, and results in the three most significant challenges viz., “Data security on clouds,” “Lack of trust on services,’ and “lack of customization.
28
Open banking: Regulatory challenges for a new form of financial intermediation in a data-driven world
Abstract: Data has taken immense importance in the last years. Consider the amount of data that is being collected worldwide every day, industries are reshaping their activities into a data-driven business. The digital transformation of all industries, portent of the fourth industrial revolution, is creating a new kind of economy based on the datafication of almost any aspect of human social, political and economic activity as a result of the information generated by the numerous daily routines of digitally connected individuals and technology. The financial services industry is part of this trend. Embracing the digital revolution and creating the right foundations allow incumbent financial institutions to disrupt their own business model. Hence, financial institutions are creating new businesses within their existing structures that adapt and collaborate to meet the challenges of digital transformation and make better use, faster, of their enduring source of competitive advantage – their own customer insight. Open banking and banking as a service (BaaS) are emerging as new forms of intermediation in the financial system that portraits positive and negative externalities for the financial system. Both concepts – open banking and BaaS – refer to the use of open Application Programming Interfaces that enable third parties to build applications and services around a financial institution that exposes its data and/or its infrastructure. The use of these schemes represents a new form of intersection between data and finance, which is changing the way traditional products, services and customer experience traditionally work in the financial sector. This paper explains the open banking and BaaS foundations and what they exactly entail. It also explores the benefits and risks that this interaction between financial institutions and third parties portrait for the financial services industry and analyses from a comparative perspective the different approaches financial, data privacy and competition regulators have implemented to boost open banking phenom. This paper argues that the compulsory approach to open banking is not in all cases the best approach for capitalizing the benefits of open banking and managing its risks. Indeed, some regulators have proposed a compulsory approach to open banking regulations to increase competition in retail banking or in the payment systems. In opposition, this paper argues that open banking and BaaS models in the financial industry might lead to more concentration and these risks have been understated by financial regulators and competition authorities. Finally, we provide some policy recommendations regarding open banking regulations, such as: the same regulatory approach should not apply to all jurisdictions, regulators should encourage reciprocity, especially when choosing the compulsory approach, coordination among different regulatory authorities is needed on a national and international levels, risk-based regulation is a correct type of approach, and monetization of data should not be restricted for incumbents.
27
The Concept of Building a Network of Digital Twins to Increase the Efficiency of Complex Telecommunication Systems
Sh. Zh. Seilov,А. T. Kuzbayev,A. A. Seilov,D. S. Shyngisov,V. Yu. Goikhman,A. K. Levakov,N. A. Sokolov,Y. Sh. Zhursinbek +7 more
TL;DR: In this article, the authors proposed the concept of building a network of digital twins, used to solve a number of actual problems in complex telecommunication systems, such as the organization of information feedback for enterprises involved in the life cycle of a telecommunication network.
Homomorphic Encryption Methods Review
Nikolay Nikolaevich Kucherov,Maxim Deryabin,Mikhail Babenko +2 more
- 01 Jan 2020
TL;DR: The article offers a review and comparison of existing methods of homomorphic encryption for machine learning tasks to transfer and ensure the confidentiality of resource-intensive operations for training a neural network in the cloud.
14
References
Cloud Workload Characterization
TL;DR: The relationship is established between the categories and key limiting underlying technologies, and the dynamic and measurable low-level metrics and measurements that are used to detect and reduce resource contention, and identify category changes during run-time.
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GPGPU cloud: A paradigm for general purpose computing
Liang Hu,Xilong Che,Zhenzhen Xie +2 more
TL;DR: This paper describes a baseline GPGPU cloud system built on Kepler GPUs, and elaborates a general scheme which defines the whole cloud system into a cloud layer, a server layer, and a GPG PU layer, to provide a better understanding of general-purpose computing on a GpgPU cloud.
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•Book
Cloud Computing with Security: Concepts and Practices
Naresh Kumar Sehgal,Pramod Chandra P. Bhatt,John M. Acken +2 more
- 07 Sep 2019
TL;DR: The purpose of this research is to define “cloud computing”, its functionality and implementation, define the function of a cloud security and refer to its existence, a literature review for previews attempts and improvements, a research on opensource security tools, the implementation of acloud server and demonstration of security protection on cloud servers.
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