Cloud Computing Technology in Arts Integrated Experiment Teaching Resource Management

2013 ◽  
Vol 859 ◽  
pp. 432-437
Author(s):  
Mei Fang Chen ◽  
Le Hui Huang ◽  
Yan Li
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Paper Analysis ◽  
Present Condition ◽  
Utilization Rate ◽  
It Infrastructure ◽  
Computing Technology ◽  
Teaching Resource ◽  
Integrated Platform ◽  
The Times

As the change of requirement of arts Careers fair, more and more people pay attention to the ability fostering of practical skill and the platform of arts integrated teaching emerges as the times require. It is the hotspot that how to use the today’s technology to promote the operating ability. Cloud Computing Technology is a buzz-word in today’s information technology that nobody can escape. Cloud Computing Technology fosters the provision and use of IT infrastructure, platforms, and applications of and kind in form of services that are electronically available on the Web. This paper analysis the present condition of arts integrated teaching resource management, and probes into today’s problem of integrated platform which need to be solved. Importing the concept of cloud computing, this paper constructs the management system of arts integrated experiment teaching resource. There will be to achieve the whole sharing of the resource and to improve the utilization rate of resource.

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.

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.

scholarly journals Research on Cloud Computing Resources Provisioning Based on Reinforcement Learning

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Zhiping Peng ◽  
Delong Cui ◽  
Jinglong Zuo ◽  
Weiwei Lin
Keyword(s):  
Cloud Computing ◽  
Reinforcement Learning ◽  
Resource Management ◽  
Queuing Theory ◽  
Service Level Agreement ◽  
Service Level ◽  
Resource Provisioning ◽  
Utilization Rate ◽  
Sequential Decision ◽  
Distributed Resources

As one of the core issues for cloud computing, resource management adopts virtualization technology to shield the underlying resource heterogeneity and complexity which makes the massive distributed resources form a unified giant resource pool. It can achieve efficient resource provisioning by using the rational implementing resource management methods and techniques. Therefore, how to manage cloud computing resources effectively becomes a challenging research topic. By analyzing the executing progress of a user job in the cloud computing environment, we proposed a novel resource provisioning scheme based on the reinforcement learning and queuing theory in this study. With the introduction of the concepts of Segmentation Service Level Agreement (SSLA) and Utilization Unit Time Cost (UUTC), we viewed the resource provisioning problem in cloud computing as a sequential decision issue, and then we designed a novel optimization object function and employed reinforcement learning to solve it. Experiment results not only demonstrated the effectiveness of the proposed scheme, but also proved to outperform the common methods of resource utilization rate in terms of SLA collision avoidance and user costs.

A Crisis at Hafford Furniture

2011 ◽  
Vol 13 (1) ◽  
pp. 57-71 ◽  
Author(s):  
Keith Levine ◽  
Bruce A. White
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Natural Disaster ◽  
Vice President ◽  
It Infrastructure ◽  
Computing Technology ◽  
It Department ◽  
Internal Information ◽  
A Company ◽  
Technology Solution

This case presents a cloud computing technology solution that gives promise to a company devastated by a natural disaster. After a hurricane, the company recovered because of a solid disaster recovery plan, although it was financially strapped. The Vice President of Information Technology suggested using cloud computing to cut internal information technology costs. With a cloud computing solution, the IT department would go from twelve people to six. IT infrastructure (servers, hardware, programs, processing) would be done by a vendor (“the cloud”), although responsibility for information technology would be retained by the company. The case presents a background in cloud computing and cloudonomics. As the case unfolds, the authors find that proper oversight was neglected; rash decisions were made; and a crisis developed. The president took matters into his own hands, and without following proper protocols, selected a vendor that later went bankrupt and forced the company into dire circumstances.

Design of Online and Offline Integration Teaching System for Body Sense Dance Based on Cloud Computing

2021 ◽  
Author(s):  
Yun He
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Data Storage ◽  
Data File ◽  
Media Management ◽  
Teaching Resources ◽  
Teaching Management ◽  
Module Design ◽  
Teaching Resource ◽  
Teaching Content

Traditional teaching methods are limited to time and place, and the performance of dance teaching resource management is poor. This paper designs a dance teaching resource management system based on cloud computing. The functional structure of the system includes the core cloud computing teaching and teaching management application. The data management module is used to store the processed data in the data file, and respond to the retrieval request of dance teaching content publishing module and the remote image resource positioning request of multi-media management module. Design user courseware on demand process, using the existing dance teaching resources to learn. The experimental results show that the designed system has good performance, high stability and compatibility, and strong data storage capacity of teaching resources.

An Effective Grid Resource Management Model Based on Cloud Computing Platform

2011 ◽  
Vol 50-51 ◽  
pp. 358-362
Author(s):  
Yue Zhang ◽  
Yun Xia Pei
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Management Model ◽  
Utilization Rate ◽  
Grid Resource ◽  
Grid Environment ◽  
Computing Platform ◽  
Scheduling Model ◽  
Cloud Computing Platform ◽  
Simulation Results

Resource management model was presented based on cloud computing using virtualization technologies. According to this strategy, a resource scheduling model was designed. This strategy can really effectively improve resource utilization rate. This algorithm met the needs of cloud computing more than others for grid environment with shorter response time and better performance, which were proved by the simulation results in the Gridsim environment.

An Adaptive Load Balancing Method of Adjustment Based on Cloud Computing Resources

2013 ◽  
Vol 385-386 ◽  
pp. 1708-1712
Author(s):  
Xiao Ping Jiang ◽  
Teng Jiang ◽  
Tao Zhang ◽  
Cheng Hua Li
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Large Scale ◽  
Scheduling Algorithm ◽  
Utilization Rate ◽  
Computing Technology ◽  
Service Platform ◽  
Technology System ◽  
Cluster Architecture ◽  
Cloud Computing Service

By combining LVS cluster architecture and could computing technology, system architecture of the cloud computing service platform is proposed. Cloud computing technology is suitable to support large-scale applications with flash crowds by support elastic amounts of bandwidth and storage resource etc. But traditional algorithms of load balancing provided by LVS are unsuitable for the proposed service platform, because these algorithms are designed for static server resource provided by traditional cluster technology. Taking both the overall utilization rate of server resources and the active connections of the server into counter, an adaptive adjustable load balancing algorithms (Least Comprehensive Utilization and Connection Scheduling algorithm, called LUCU) is proposed in this paper. According the utilization of cloud resource and the users demand, automatic switching between Round Robin (RR) algorithm and LUCU algorithm is achieved. When the cloud capacities are not able to meet the instantaneous demands, LUCU is chosen instead of RR. The proposed platform and algorithm are verified and evaluated using large-scare simulation experiments. The test results show that the equilibrium load is nearly achieved by adopting the proposed algorithms.

scholarly journals Towards a Resilient Server with an external VMI in the Virtualization Environment

2020 ◽  
Vol 8 (1) ◽  
pp. 49-66
Author(s):  
Agus Priyo Utomo ◽  
Idris Winarno ◽  
Iwan Syarif
Keyword(s):  
Operating System ◽  
Cloud Computing ◽  
Black Box ◽  
It Infrastructure ◽  
Computing Technology ◽  
System Failures ◽  
Monitoring Process ◽  
Page Table ◽  
Guest Operating System ◽  
Analysis System

Currently, cloud computing technology is implemented by many industries in the world. This technology is very promising due to many companies only need to provide relatively smaller capital for their IT infrastructure. Virtualization is the core of cloud computing technology. Virtualization allows one physical machine to runs multiple operating systems. As a result, they do not need a lot of physical infrastructures (servers). However, the existence of virtualization could not guarantee that system failures in the guest operating system can be avoided. In this paper, we discuss the monitoring of hangs in the guest operating system in a virtualized environment without installing a monitoring agent in the guest operating system. There are a number of forensic applications that are useful for analyzing memory, CPU, and I/O, and one of it is called as LibVMI. Drakvuf, black-box binary analysis system, utilizes LibVMI to secure the guest OS. We use the LibVMI library through Drakvuf plugins to monitor processes running on the guest operating system. Therefore, we create a new plugin to Drakvuf to detect Hangs on the guest operating system running on the Xen Hypervisor. The experiment reveals that our application is able to monitor the guest operating system in real-time. However, Extended Page Table (EPT) violations occur during the monitoring process. Consequently, we need to activate the altp2m feature on Xen Hypervisor to by minimizing EPT violations.

Design of Cloud-Based Education Resource Operation and Open Platform

2013 ◽  
Vol 411-414 ◽  
pp. 432-435
Author(s):  
Ya Fei Wang ◽  
Xin Wang ◽  
Xiao Ya Qin ◽  
Jiu Sheng Peng
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Educational Resource ◽  
Computing Technology ◽  
Organization Model ◽  
Open Platform ◽  
Cloud Application ◽  
And Function ◽  
Education Resource ◽  
Flexible Education

With the emergence of cloud computing, it is significant to establish a unified, open and flexible education resource platform for sharing resources and narrowing the gap between education information. Based on the analysis of problems of educational resources construction and the advantages brought by cloud computing technology, this paper proposes a kind of Cloud-Based Education Resource Operation and Open Platform. Then the basic architecture and function of the platform are discussed and a kind of educational resource management and organization model introduced. This paper gives specific directions for education cloud application. Cloud computing technology makes people study at any given time or place with any available device.

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