Cloud Computing

2012 ◽  
pp. 151-172 ◽  
Author(s):  
Stephen H. Kaisler ◽  
William Money ◽  
Stephen J. Cohen
Keyword(s):  
Cloud Computing ◽  
Research Program ◽  
Potential Benefit ◽  
Data Centers ◽  
Ease Of Use ◽  
Decision Framework ◽  
Computing Technology

Cloud computing technology is garnering success with marketing-based wisdom-like stories of savings, ease of use, and increased flexibility in controlling how resources are acquired at any given time to deliver computing capability. This chapter develops a preliminary decision framework to assist managers who are determining which cloud solution matches their specific requirements and evaluating the numerous commercial claims (in many cases unsubstantiated) of a cloud’s value. This decision framework is the result of the authors’ research program in understanding how small to medium-sized businesses can assess the potential benefit from cloud computing helps managers allocate investments and assess cloud alternatives that now compete with in-house data centers that previously stored, accessed, and processed data or with another company’s (outsourced) datacenter resources.

scholarly journals Load balancing in Cloud Computing: Issues and Challenges

2021 ◽  
Vol 12 (2) ◽  
pp. 3224-3231
Author(s):  
K. Balaji, Et. al.
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Load Distribution ◽  
Data Centers ◽  
Job Scheduling ◽  
Virtual Machines ◽  
Cloud Services ◽  
Cloud Environment ◽  
Computing Technology ◽  
Load Balancer

The evolution of IT led Cloud computing technology emerge as a new prototype in providing the services to its users on rented basis at any time or place. Considering the flexibility of cloud services, innumerable organizations switched their businesses to the cloud technology by setting up more data centers. Nevertheless, it has become mandatory to provide profitable execution of tasks and appropriate  resource utilization. A few approaches were outlined in literature to enhance performance, job scheduling, storage resources, QoS and load distribution. Load balancing concept permits data centers to avert over-loading or under-loading in virtual machines that as such is an issue in cloud computing domain. Consequently, it necessitate the researchers to layout and apply a proper load balancer for cloud environment. The respective study represents a view of problems and threats faced by the current load balancing techniques and make the researchers find more efficient algorithms.

scholarly journals Load balancing in Cloud Computing: Issues and Challenges

2021 ◽  
Vol 12 (2) ◽  
pp. 3077-3084
Author(s):  
K. Balaji , Et. al.
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Load Distribution ◽  
Data Centers ◽  
Job Scheduling ◽  
Virtual Machines ◽  
Cloud Services ◽  
Cloud Environment ◽  
Computing Technology ◽  
Load Balancer

The evolution of IT led Cloud computing technology emerge as a new prototype in providing the services to its users on rented basis at any time or place. Considering the flexibility of cloud services, innumerable organizations switched their businesses to the cloud technology by setting up more data centers. Nevertheless, it has become mandatory to provide profitable execution of tasks and appropriate  resource utilization. A few approaches were outlined in literature to enhance performance, job scheduling, storage resources, QoS and load distribution. Load balancing concept permits data centers to avert over-loading or under-loading in virtual machines that as such is an issue in cloud computing domain. Consequently, it necessitate the researchers to layout and apply a proper load balancer for cloud environment. The respective study represents a view of problems and threats faced by the current load balancing techniques and make the researchers find more efficient algorithms.

scholarly journals Effect of Ease of Use, Usefullness, Cost Effectiveness, and Compatibility Towards Cloud Computing Usage in Manufacturing Company

2019 ◽  
Vol 8 (3) ◽  
pp. 49-53
Keyword(s):  
Principal Component Analysis ◽  
Cloud Computing ◽  
Cost Effectiveness ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Principal Component ◽  
Ease Of Use ◽  
Computing Technology ◽  
Diffusion Of Innovation Theory ◽  
Manufacturing Company

Cloud Computing technology can have benefit to company operation, but not all company implement Cloud computing especially in manufacturing company. Many factors effect the decision to use cloud computing technology, and this study analyze the effect of ease of use, usefulness, cost effectiveness, and compatibility towards cloud computing usage in manufacturing company. This study analyze the correlation between each factors toward the usage of technology using Technology Acceptance Theory (TAM), Diffusion of Innovation Theory (DOI) using Principal Component Analysis (PCA) and anova, a statistic method. The results of the study are ease of use, usefulness, cost effectiveness, and compatibility factors have effect and correlated to the usage of Cloud computing in manufacturing company.

Technology Acceptance Model 3 in Understanding Employee's Cloud Computing Technology

2020 ◽  
pp. 097215092095717
Author(s):  
Esra Cengiz ◽  
Hülya Bakırtaş
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mediating Effect ◽  
Perceived Ease Of Use ◽  
Computing Technology ◽  
Acceptance Model

The aim of this study is to investigate the factors affecting cloud computing technology application by using technology acceptance model 3 (TAM3). The conceptual model was empirically analysed. While the experience of employees has no moderating effect on the relationship between subjective norm and perceived usefulness, the effect of perceived ease of use on perceived usefulness is moderated by experience. In other words, the higher the experience, the higher the effect of perceived ease of use on perceived usefulness. In addition, perceived ease of use, in terms of the perceived enjoyment and playfulness variables, has a mediating effect. Perceived usefulness and perceived ease of use in cloud computing have positive effect on behavioral intention. Research on cloud computing and technology acceptance model has overlooked the mediating and moderating effect of variables in TAM3, on which very little work has been done.

scholarly journals CRITICAL FACTORS OF CLOUD ACCOUNTING ACCEPTANCE AND SECURITY FOR PROSPECTIVE ACCOUNTANTS: TAM EXTENSION

2021 ◽  
Vol 13 (1) ◽  
pp. 1-6
Author(s):  
Ayatulloh Michael Musyaffi ◽  
Muna Arinal
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Critical Factors ◽  
Computing Technology ◽  
Using Data ◽  
Business Structure

Cloud computing technology can change the business structure, including accounting, through cloud computing. However, cloud accounting has problems, especially those related to data, which affect user acceptance of cloud accounting. Based on these problems, this research aims to test the acceptance of cloud accounting. The object of this research focuses on cloud accounting users to prospective accountants who are still at the undergraduate degree, with a total of 123 respondents. The questionnaire was distributed via google form and then analyzed using PLS using data processing through SmartPLS. The findings of this study indicate that perceived ease of use and security can influence the intention to using cloud accounting. Meanwhile, perceived usefulness not able to control the choice to use cloud accounting. This is because prospective accountants still consider cloud as a learning medium to not guarantee uncertainty in using cloud accounting.

scholarly journals An Efficient Improved Weighted Round Robin Load Balancing Algorithm in Cloud Computing

2018 ◽  
Vol 7 (3.1) ◽  
pp. 110 ◽  
Author(s):  
Manikandan N ◽  
Pravin A
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Centers ◽  
Lower Cost ◽  
Computing Technology ◽  
Storage Devices ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Load Balancing Algorithm ◽  
Very High

Cloud Computing is an era when various trends showed up. It is the type of development, based solely on the Internet. The computer technology has brought in several changes along the years. SaaS is an architecture that comes under computing technology, involving the use of powerful processors, that helps in transforming data centers, scaling services involving computing technology across all fields. Various trends are opening in the field of Cloud Computing, developed mainly on Internet basis and use of computing technology. The computing architecture of SaaS along with powerful processors, are transforming data centers into a huge scale of pools of computing services.  Balancing load efficiently is one of the key areas involved in cloud computing. Services that are of very high quality can be subscribed for lower cost, along with completely reliable network connections with their bandwidth being increased , providing a flexible service residing in remote data centers. Load Balancing is the concept involved in the storage of computing resources. It is the partition of work which requires processing between two or more number of computers and/or CPUs, storage devices which ultimately leads to providing higher efficiency with much faster service. The improved WRR algorithm which is improved has been proposed in order to distribute the workload efficiently, thereby enhancing various other features that are associated with it.  

Determining factors for the adoption of cloud computing in developing countries

2016 ◽  
Vol 29 (4) ◽  
pp. 259-272 ◽  
Author(s):  
Mayank Yuvaraj
Keyword(s):  
Cloud Computing ◽  
Academic Libraries ◽  
Ease Of Use ◽  
It Adoption ◽  
Security Risk ◽  
Perceived Ease Of Use ◽  
Computing Technology ◽  
Content Type ◽  
Computing Services ◽  
High Level

Purpose The paper aims to examine the constructs laid down by the information technology (IT) adoption theories to the cloud computing phenomena in conjunction with academic libraries of India to determine the factors responsible for the adoption of cloud computing. Design/methodology/approach Keeping the objectives into consideration, descriptive survey and constructive research method were used in the study. Library professionals engaged in the selected 28 central universities of India were chosen to participate in this study. To find the core drivers responsible for the adoption of cloud computing in academic libraries, constructs were taken from ten IT adoption theories. Findings The findings validate the fact that perceived ease of use, usefulness and ubiquitous availability of the enabling technology are strong drivers of the adoption of cloud computing technology in the libraries. Also, attitude is significantly correlated with the behavioral intention to adopt cloud computing services. High level of correlation was obtained between the cloud computing-perceived attributes and the librarian’s intention to use cloud computing technology. However, security risk is the biggest issue that has been affecting the behavioral intentions. Originality/value The study is a self-conscious attempt to fill the void and determine factors for the adoption of cloud computing in libraries. Further, it attempts to find out the preparedness of Indian academic libraries in adopting cloud computing.

scholarly journals Performance of M/M/1 and M/D/1 Queuing Models on Data Centers with Cloud Computing Technology Using MATLAB

2018 ◽  
Vol 11 (3) ◽  
pp. 11-22 ◽  
Author(s):  
N. Thirupathi Rao ◽  
Pilla Srinivas ◽  
K. Sudha ◽  
Debnath Bhattacharyya ◽  
Tai-Hoon Kim
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Computing Technology ◽  
Queuing Models

scholarly journals Exploring Cloud Computing Readiness and Acceptance in Higher Education Institution: A PLS-SEM Approach

2021 ◽  
Vol 17 (4) ◽  
pp. 367
Author(s):  
Nur Hidayah Md Noh ◽  
Mohd Talmizie Amron
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Technology Acceptance ◽  
Education Institution ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technology Readiness ◽  
Computing Technology ◽  
Higher Education Institution

Abstract: The COVID-19 pandemic has altered nearly every aspect of life, including education. Technology has replaced face-to-face teaching and learning nearly totally. This health disaster has accelerated digitization in the world of education, which was previously only available without a repulsive factor. Cloud computing technology has been widely used in education, including higher education, enabling teaching resources, educational information, notes, lectures, and academic assessments to be accessed and shared online. Yet, in celebrating the greatness of technology, are users ready to accept an explosion of information resources and access openly online through cloud-based services? Thus, this research will investigate the Higher Education Institution (HEI) users' readiness and acceptance of cloud computing. The research employs the Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) model together with Structural Equation Modeling (SEM) to investigate 470 individuals from HEIs in Malaysia. Perceived Ease of Use and Perceived Usefulness are found to be positively significant in explaining why a user decides to use cloud computing. Optimism and innovativeness have found to affect the factors of technology acceptance significantly. In contrast, discomfort and insecurity do not affect technology acceptance factors, except for insecurity that negatively impacts Perceived Usefulness. This study contributes to another finding to studying technology readiness and acceptance, especially in higher education.   Keywords: Cloud Computing, Technology Readiness, Technology Acceptance, HEI, SEM

A Review Paper on Cloud Computing

2018 ◽  
Vol 8 (6) ◽  
pp. 17 ◽  
Author(s):  
Priyanshu Srivastava ◽  
Rizwan Khan
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Review Paper ◽  
Computing Technology ◽  
Internet Infrastructure ◽  
Before And After ◽  
The Face

Today is the era of Cloud Computing Technology in IT Industries. Cloud computing which is based on Internet has the most powerful architecture of computation. It reckons in of a compilation of integrated and networked hardware, software and internet infrastructure. It has various avails atop grid computing and other computing. In this paper, I have given a brief of evaluation of cloud computing by reviewing more than 30 articles on cloud computing. The outcome of this review signalizes the face of the IT industries before and after the cloud computing.

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