ARMCO: Advanced topics in resource management for ubiquitous cloud computing: An adaptive approach

2016 ◽  
Vol 54 ◽  
pp. 79-81 ◽  
Author(s):  
Florin Pop ◽  
Maria Potop-Butucaru
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Adaptive Approach ◽  
Ubiquitous Cloud Computing

A Study on Cloud Service with Information Resources

2014 ◽  
Vol 513-517 ◽  
pp. 1425-1430
Author(s):  
Xiu Zhen Feng ◽  
Peng Hao
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Cloud Service ◽  
Information Resources ◽  
Information Resource ◽  
Computing Technology ◽  
Service Model ◽  
New Approach ◽  
Resources Management ◽  
Information Resources Management

Cloud computing technology created a brand new approach for further information resources management and utilization. Based on exploring characteristics and applications of cloud computing technology, the study in this paper is focused on cloud service with information resources. The aim of this study is to construct a cloud service model, namely Information Resource as a Service (IRaaS). Our model depicts the components of IRaaS and relationships among those components, which builds up a prime foundation for further studying on both information resource management and service.

Online Resource Management for Carbon-Neutral Cloud Computing

2015 ◽  
pp. 607-630
Author(s):  
Kishwar Ahmed ◽  
Shaolei Ren ◽  
Yuxiong He ◽  
Athanasios V. Vasilakos
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Online Resource ◽  
Carbon Neutral

Feasibility of implementing the human resource payroll management system based on cloud computing

Kybernetes ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Min Zhao ◽  
Kamran Rabiei
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Management System ◽  
Structural Equation ◽  
Equation Modeling ◽  
Computing Technology ◽  
Cross Sectional ◽  
Content Type

PurposeThe present study is descriptive research in terms of purpose, descriptive analysis in terms of nature and cross-sectional research in terms of time. The study’s statistical population includes all employees and managers of the China City Organization selected as sample members using random sampling method and Krejcie table of 242 people. The questionnaire was modified and revised based on the goals, tasks and mission of the target organization to collect information. In data analysis, due to the normality of data distribution, the structural equation modeling method is used to evaluate the causal model, reliability and validity of the measurement model. Evaluation and validation of the model are done through the structural equation model. Questionnaire-based model and data are analyzed using Smart PLS 3.0. The main purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.Design/methodology/approachNew technologies require innovative approaches for creating valuable opportunities in an organization to integrate the physical flows of goods and services and financial information. Today, cloud computing is an emerging mechanism for high-level computing as a storage system. It is used to connect to network hosts, infrastructure and applications and provide reliable services. Due to advances in this field, cloud computing is used to perform operations related to human resources. The role, importance and application of cloud computing in human resource management, such as reducing the cost of hardware and information software in hiring, job planning, employee selection, employee socialization, payroll, employee performance appraisal, rewards, etc., is raised. This way, human resource management teams can easily view resumes, sort candidates and observe and analyze their performance. Cloud computing is effective in implementing human resource payroll management systems. Therefore, the primary purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.FindingsTesting the research hypotheses shows that the dimension desirability of ability and acceptance is provided in dimensions related to the minimum conditions required to implement cloud computing technology in the organization. For this reason, the feasibility of implementing the systems based on cloud computing in companies must be considered.Research limitations/implicationsThis study also has some limitations that need to be considered in evaluating the results. The study is limited to one region. It cannot be assured that the factors examined in other areas are effective. The research design for this study is a cross-sectional study. It represents the static relationship between the variables. Since cross-sectional data from variable relationships are taken at a single point in time, they are collected in other periods. As a proposal, future researchers intend to investigate the impact of Enterprise Resource Planning (ERP) systems based on cloud computing.Practical implicationsThe research also includes companies, departments and individuals associated with systems based on cloud computing.Originality/valueIn this paper, the feasibility of implementing the human resource payroll management system based on cloud computing is pointed out, and the approach to resolve the problem is applied to a practical example. The presented model in this article provides a complete framework to investigate the feasibility of implementing the human resource payroll management system based on cloud computing.

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