Benefits of the Cloud for Calibration Management Software Systems

2021 ◽  
Author(s):  
Walter Nowocin ◽  
Keyword(s):  
Cloud Computing ◽  
Environmental Sustainability ◽  
Cloud Model ◽  
Software Systems ◽  
Network Access ◽  
Configurable Computing ◽  
Management Software ◽  
Coordination Costs ◽  
Management Effort ◽  
Definition Of

The National Institute of Standards and Technology (NIST) was directed by the federal government to define cloud computing to assist federal agencies in implementing cloud architectures. In 2011, NIST published NIST SP 800-145 “The NIST Definition of Cloud Computing” and defined cloud computing as: “Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models. [1]” Cloud computing is a relatively new IT concept and as such, there is much to learn about the benefits that this business model can bring to organizations. Cloud computing will transform how you do business. The objective of this paper is to explain the benefits of using a cloud architecture for calibration management software systems. The following benefits and topics will be discussed: Work From Anywhere, Always On, Reduced IT Costs, Scalability, Automatic Updates, Reduce Coordination Costs, Improved Quality Control, Disaster Recovery, Environmental Sustainability, Increased Competitiveness, Stronger Security, and Compliance Considerations [2].

From Mainframe to Cloud

2014 ◽  
pp. 1-30
Author(s):  
Božidar Radenković ◽  
Petar Kočović
Keyword(s):  
Cloud Computing ◽  
Cloud Model ◽  
Educational Institutions ◽  
Network Access ◽  
Configurable Computing ◽  
Context Aware Computing ◽  
Business Applications ◽  
Management Effort ◽  
Definition Of ◽  
The Cost

The adoption of cloud computing accelerated significantly over the past few years, and this trend will remain. As cloud-computing technologies and vendors mature, more educational institutions will adopt the Internet-based computing style. Organizations will use cloud computing to reduce the cost of e-mail, IT infrastructure, data centers and storage, and business applications. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models. The absence of a clear definition of cloud computing is slowing the adoption of cloud computing by needlessly increasing user apprehension and obscuring the cloud's benefits. Organizations need to understand cloud computing before they can realize its benefits and avoid its risks. This chapter clears up confusion about the cloud by defining cloud computing and its characteristics, architectural model, benefits, and shortcomings. This chapter provides the definition of the concept of cloud computing and cloud computing as a service. Subsequently, it explores the characteristics of different types of clouds, as well as the security aspect of this technology. Major trends of cloud computing, such as social computing, context-aware computing, and pattern based strategy, are described. In a conclusion, the authors provide an overview of future use of cloud computing.

From Mainframe to Cloud

2015 ◽  
pp. 116-145
Author(s):  
Božidar Radenković ◽  
Petar Kočović
Keyword(s):  
Cloud Computing ◽  
Cloud Model ◽  
Educational Institutions ◽  
Network Access ◽  
Configurable Computing ◽  
Context Aware Computing ◽  
Business Applications ◽  
Management Effort ◽  
Definition Of ◽  
The Cost

The adoption of cloud computing accelerated significantly over the past few years, and this trend will remain. As cloud-computing technologies and vendors mature, more educational institutions will adopt the Internet-based computing style. Organizations will use cloud computing to reduce the cost of e-mail, IT infrastructure, data centers and storage, and business applications. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models. The absence of a clear definition of cloud computing is slowing the adoption of cloud computing by needlessly increasing user apprehension and obscuring the cloud's benefits. Organizations need to understand cloud computing before they can realize its benefits and avoid its risks. This chapter clears up confusion about the cloud by defining cloud computing and its characteristics, architectural model, benefits, and shortcomings. This chapter provides the definition of the concept of cloud computing and cloud computing as a service. Subsequently, it explores the characteristics of different types of clouds, as well as the security aspect of this technology. Major trends of cloud computing, such as social computing, context-aware computing, and pattern based strategy, are described. In a conclusion, the authors provide an overview of future use of cloud computing.

Strategic Planning for Cloud Computing Adoption in STEM Education

2019 ◽  
pp. 459-469
Author(s):  
Alan S. Weber
Keyword(s):  
Cloud Computing ◽  
Stem Education ◽  
Network Access ◽  
Configurable Computing ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
E Learning ◽  
Management Effort ◽  
Cloud Computing Services ◽  
And Mathematics

This chapter describes effective strategic analysis and implementation methods for the adoption of cloud computing services (infrastructure, platforms, and software) in Science, Technology, Engineering, and Mathematics (STEM) education. The benefits of cloud computing, including lower costs, scalability and virtualization capabilities, have been recognized and adopted by major educational, governmental and research institutions internationally during the last five years. However, the term ‘cloud computing' was only recently clarified in 2011 in the NIST's standard definition published by Mell and Grance (2012) as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Despite the increasing clarity in defining cloud computing, the deployment models can be complex, encompassing hybrid, public, community and private cloud frameworks, all with varying levels of privacy, security, and trust. Data format, integrity, and portability as well as geographical server location represent additional factors that educational institutions must weigh when they consider adopting a cloud solution for their educational needs. The chapter provides advice on how to strategically plan for the use of cloud computing services and how to identify, weigh and assess the various factors in decision-making. Just as with e-learning when it was found at the end of the 1990s that purely online technological approaches were not as effective as pedagogical models (blended learning) which took into account human factors such as student motivation, teacher training, technological illiteracy, etc., the author suggests that a holistic technology adoption process that includes needs assessment and stakeholder engagement will be the most successful.

Comparisons of Cloud Computing Models and Technologies

2012 ◽  
Vol 524-527 ◽  
pp. 3805-3808
Author(s):  
Yu Hu
Keyword(s):  
Cloud Computing ◽  
Competitive Advantage ◽  
Service Provider ◽  
Network Access ◽  
Configurable Computing ◽  
On Demand ◽  
New Ideas ◽  
Management Effort ◽  
Computing Models

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing allows new ideas, business concepts, and prototype systems to rapidly move to market, which represents a competitive advantage. Some cloud computing models and technologies are compared in this paper.

Strategic Planning for Cloud Computing Adoption in STEM Education

2016 ◽  
pp. 1-11 ◽  
Author(s):  
Alan S. Weber
Keyword(s):  
Cloud Computing ◽  
Stem Education ◽  
Network Access ◽  
Configurable Computing ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
E Learning ◽  
Management Effort ◽  
Cloud Computing Services ◽  
And Mathematics

This chapter describes effective strategic analysis and implementation methods for the adoption of cloud computing services (infrastructure, platforms, and software) in Science, Technology, Engineering, and Mathematics (STEM) education. The benefits of cloud computing, including lower costs, scalability and virtualization capabilities, have been recognized and adopted by major educational, governmental and research institutions internationally during the last five years. However, the term ‘cloud computing' was only recently clarified in 2011 in the NIST's standard definition published by Mell and Grance (2012) as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Despite the increasing clarity in defining cloud computing, the deployment models can be complex, encompassing hybrid, public, community and private cloud frameworks, all with varying levels of privacy, security, and trust. Data format, integrity, and portability as well as geographical server location represent additional factors that educational institutions must weigh when they consider adopting a cloud solution for their educational needs. The chapter provides advice on how to strategically plan for the use of cloud computing services and how to identify, weigh and assess the various factors in decision-making. Just as with e-learning when it was found at the end of the 1990s that purely online technological approaches were not as effective as pedagogical models (blended learning) which took into account human factors such as student motivation, teacher training, technological illiteracy, etc., the author suggests that a holistic technology adoption process that includes needs assessment and stakeholder engagement will be the most successful.

An Algorithmic Analysis on Load Balancing and Workflow Scheduling in Cloud

2020 ◽  
Vol 17 (5) ◽  
pp. 2085-2090
Author(s):  
M. Tamil Thendral ◽  
S. Godfrey Winster
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Resource Provisioning ◽  
Network Access ◽  
Configurable Computing ◽  
Research Directions ◽  
Management Effort ◽  
Algorithmic Analysis

Cloud computing is a paradigm for facilitating omnipresent, comfortable, on-demand network access to shared provisions of configurable computing resources like servers, applications, networks, and services that can be quickly provisioned and discharged with minimal management effort or service provider intercommunication. Data centers are the set of hosts that runs Virtual Machines. The broker submits the requests which are provisioned to the data centers that submit the task. The task or an application that runs is known as cloudlet. The term “Cloud computing” is to deliver the hosted services on the internet. Each “cloudlet” requires one or more computing resources from the cloud to complete its job. The executions of these sub-tasks use a scheduling algorithm in a particular fashion. Hence, one of the most important issues is that executing a large number of workflow in cloud environment and consumption of resources. The work proposes literature about the scheduling algorithm that resolves the conflict in the allocation of resources and manages the resource provisioning at dynamic to each task in any workflow. This paper proposes an analysis of proposed schemes with different workflow by executing the scheduling algorithm for the cloud workflow. This paper is presented with their objectives, parameters, and limitations and finally concluded with research directions.

scholarly journals Privacy Preserving Healthcare Data using Cloud Computing

2019 ◽  
Vol 8 (10S) ◽  
pp. 118-124
Keyword(s):  
Cloud Computing ◽  
Rural Areas ◽  
Service Providers ◽  
Cloud Model ◽  
Healthcare Systems ◽  
Healthcare Sector ◽  
Public Healthcare ◽  
It Adoption ◽  
Network Access ◽  
Effective Manner

Cloud Computing is a new way of delivering computing resources and services. It is a model for on-demand network access to a shared pool of configurable computing resources like, networks, servers, storage, applications, and services that can be provided with minimal management effort or service provider interaction. The cloud model is composed of five essential characteristics, four service models, and four deployment models. Healthcare is faster growing way to adopt cloud computing. It is very important for every individual and essential for every country in the Globe. Electronic healthcare systems in the world are moving towards a more accessible, collaborative and more proactive way in reaching out to the public. The delivering of public health solutions can lead to increased efficiencies in health related data. Many nations across the globe have launched aggressive stimulus programs aimed at solving public healthcare problems in efficient way. This review article mainly focus on different ICT based infrastructure facilities available in various hospitals in India, abroad with cost effective manner using cloud computing technologies, services and this will be a best solutions for healthcare systems in rural areas. In this paper analyzed and presented about various cloud service providers, investment in healthcare, IT adoption in Indian Healthcare sector, Major benefits of Cloud-based Patient Management System [PMS], about SADA systems, Top ten cloud storage companies in healthcare and Pros and Cons of EHR systems, comparison of Indian healthcare systems with US system, and various Cloud Simulators.

New Media Cloud Computing

2014 ◽  
pp. 1636-1648
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
New Media ◽  
Community Formation ◽  
Media Content ◽  
Network Access ◽  
Configurable Computing ◽  
Online Data ◽  
On Demand ◽  
The Many ◽  
Media Cloud

New Media is a generic term for the many different forms of electronic communication that are made possible through the use of computer technology. New media refers to on-demand access to content anytime, anywhere, on any digital device, as well as interactive user feedback, creative participation and community formation around the media content. Another important promise of new media is the “democratization” of the creation, publishing, distribution and consumption of media content along with real-time generation of new and user created content. Cloud computing, is a style of computing where scalable and elastic IT-related capabilities are provided as shared assorted services (IaaS, PaaS, SaaS, DaaS). It is metered by use, to customers using internet technologies built on top of diverse technologies like virtualisation, distributed computing, utility computing, and more recently networking, web infrastructure and providing on-demand network access to a shared pool of configurable computing resources. It represents a paradigm shift in how we think about our data, the role of our computing devices and on managing computing resources. Being an emerging service technology with promising novel and valuable capabilities it attracts industrial research community with main focus on standardisation and customised implementation in every segment of society. To meet out the ever growing popularity of the inevitable new media applications and services over the Internet and the way it overpowers mobile devices, there is a strong demand for cloud integration. This paper outlines the concepts of new media cloud computing and addresses the problem of handling exponential growth of online data. It presents a novel framework for New Media Cloud Computing. A preliminary simulation of the work on the proposed architecture shows that there is increase in the quality of computations done, despite the demand of constant updating of resources in New Media environment.

New Media Cloud Computing

2013 ◽  
Vol 3 (2) ◽  
pp. 61-72
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
New Media ◽  
Community Formation ◽  
Media Content ◽  
Network Access ◽  
Configurable Computing ◽  
Online Data ◽  
On Demand ◽  
The Many ◽  
Media Cloud

New Media is a generic term for the many different forms of electronic communication that are made possible through the use of computer technology. New media refers to on-demand access to content anytime, anywhere, on any digital device, as well as interactive user feedback, creative participation and community formation around the media content. Another important promise of new media is the “democratization” of the creation, publishing, distribution and consumption of media content along with real-time generation of new and user created content. Cloud computing, is a style of computing where scalable and elastic IT-related capabilities are provided as shared assorted services (IaaS, PaaS, SaaS, DaaS). It is metered by use, to customers using internet technologies built on top of diverse technologies like virtualisation, distributed computing, utility computing, and more recently networking, web infrastructure and providing on-demand network access to a shared pool of configurable computing resources. It represents a paradigm shift in how we think about our data, the role of our computing devices and on managing computing resources. Being an emerging service technology with promising novel and valuable capabilities it attracts industrial research community with main focus on standardisation and customised implementation in every segment of society. To meet out the ever growing popularity of the inevitable new media applications and services over the Internet and the way it overpowers mobile devices, there is a strong demand for cloud integration. This paper outlines the concepts of new media cloud computing and addresses the problem of handling exponential growth of online data. It presents a novel framework for New Media Cloud Computing. A preliminary simulation of the work on the proposed architecture shows that there is increase in the quality of computations done, despite the demand of constant updating of resources in New Media environment.

Cloud Security Data Critical Review

2020 ◽  
Vol 17 (9) ◽  
pp. 4715-4717
Author(s):  
A. A. Prokin
Keyword(s):  
Cloud Computing ◽  
Mobile Communications ◽  
Critical Review ◽  
Network Architecture ◽  
Large Scale ◽  
Public Access ◽  
Network Access ◽  
Configurable Computing ◽  
On Demand ◽  
Suitable System

Cloud computing is a model for providing convenient network access on demand to some common fund of configurable computing resources. These calculations are flexible, scalable, and inexpensive, but have large-scale sharing of services among multiple users. The broad coverage of the idea of cloud computing has led to significant changes, both in public access systems and in mobile communications, which prompted advanced researchers to provide suitable system protocols and network architecture. In cloud computing, there are two main problems: access control and security. Therefore, the security of both services and users is a significant problem that stands in the way of using and trust in cloud computing.

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