E-Learning Exploration Based on Cloud Computing

2013 ◽  
Vol 333-335 ◽  
pp. 2226-2230 ◽  
Author(s):  
An Wang ◽  
Le Hui Huang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Network Learning ◽  
Computing Model ◽  
Core Technology ◽  
Generation Network ◽  
E Learning ◽  
Network Platform ◽  
Good Learning ◽  
Positive Effect

Cloud computing is a new proposed computing model based on grid computing and the core technology of next generation network platform. It provides reliable and secure data storage, convenient web services and strong capability of calculation. In education, cloud computing will be the fundamental environment and platform of future network learning. It will have positive effect in building good learning environment, integration of resources and other aspects of e-learning.

A Research of GIS Software Application Based on Cloud Computing

2014 ◽  
Vol 513-517 ◽  
pp. 2107-2110 ◽  
Author(s):  
Zhi Jian Diao ◽  
Song Guo
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Information Storage ◽  
Application Layer ◽  
Cloud Infrastructure ◽  
Network Resource ◽  
Software Application ◽  
Computing Model ◽  
Two Layer Model ◽  
Gis Software

Cloud computing is a novel network-based computing model, in which the cloud infrastructure is constructed in bottom level and provided as the support environment for the applications in upper cloud level. The combination of clouding computing and GIS can improve the performance of GIS, and it can also provide a new prospect of GIS information storage, processing and utilization. By integrating cloud computing and GIS, this paper presented a cloud computing based GIS model based on two features of cloud computing: data storage and transparent custom service. The model contains two layers: service layer and application layer. With this two-layer model, GIS can provide stable and efficient services to end users by optimized network resource allocation of underlying data and services in cloud computing.

scholarly journals Construction of Collaborative Learning Environment Supported by Cloud-Computing

2014 ◽  
Vol 543-547 ◽  
pp. 3581-3585 ◽  
Author(s):  
Lin Na Huang ◽  
Chun Li Liu
Keyword(s):  
Cloud Computing ◽  
Collaborative Learning ◽  
Learning Environment ◽  
School Resources ◽  
Personal Learning ◽  
Network Learning ◽  
Personal Learning Environment ◽  
Collaborative Learning Environment ◽  
Construction Strategy ◽  
Positive Effect

In the field of education, cloud computing, as a basic environment and platform for the future network learning, will bring positive effect on construction of the learners' personal learning environment, on construction of school resources, on development of the educational information system. Based on the analysis of the cloud-computing influence on collaborative learning, this paper puts forward the construction strategy of collaborative learning environment supported by cloud-computing and the specific application case, which will provide reference for cloud-computing application in education informatization and social network learning.

The Service Platform for Barrier-Free Special Education Based on Cloud Computing

2013 ◽  
Vol 397-400 ◽  
pp. 2499-2502
Author(s):  
Li Ping Yang ◽  
Wei Wang ◽  
Chun Lian Li
Keyword(s):  
Special Education ◽  
Cloud Computing ◽  
Computing Technology ◽  
Service Platform ◽  
Computing Model ◽  
Speech Sdk ◽  
Network Platform ◽  
Cloud Network ◽  
And Storage ◽  
Barrier Free

Cloud computing is a computing model, computing and storage tasks be assigned to the cloud that be composed of a large number of computers. The cloud computing technology are introduced firstly, then the cloud network platform, the service platform for barrier-free special education and functions are detailed described, lastly the key technology is given, such as TTS technology, Microsoft Speech SDK.

scholarly journals Modeling and Simulation of Cloud Computing Solution for Distributed Space Data Storage and Access In Mobile Communication Networks / Mākoņskaitļošanas Risinājuma Modelēšana Un Simulācija Izkliedētai Kosmiskas Izcelsmes Datu Glabāšanai Un Piekļuvei Mobilos Komunikāciju Tīklos

2013 ◽  
Vol 50 (5) ◽  
pp. 20-28
Author(s):  
M. Kurmis ◽  
D. Dzemydiene ◽  
R. Didziokas ◽  
J. Trokss
Keyword(s):  
Cloud Computing ◽  
Modeling And Simulation ◽  
Communication Networks ◽  
Data Storage ◽  
Mobile Communication ◽  
Storage And Retrieval ◽  
Computing Model ◽  
Computing Paradigm ◽  
Mobile Communication Networks ◽  
Space Data

Abstract Storage and retrieval of space signals require an advanced set of core technologies that can be implemented with a cloud computing paradigm. In this work we propose a cloud computing solution for the distributed space data storage and access in mobile communication networks. The modeling and simulation results show that the proposed solution performs satisfactorily in the space data processing. In the future, experimental verification of the cloud computing model and its implementation are envisaged.

scholarly journals Optimization of System Framework for Secure Communication and Data Virtualization on Cloud Computing

2020 ◽  
Vol 9 (11) ◽  
pp. 399-405
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Storage ◽  
Resource Utilization ◽  
Secure Communication ◽  
Communication Model ◽  
Dynamic Allocation ◽  
Computing Model ◽  
Virtual Infrastructure ◽  
Data Virtualization

The consequent deployment of vital infrastructure to provide the secure communication and virtualization not only rectifies the challenges and difficulties but also benefits with saving the process of digitization. With a bang in evolution of cloud computing the uniqueness of every organization affects the virtualization of its information communication technology and applications. The answer for such organizations is to stipulate the precise cloud computing model equivalent to the deliberated and operational goals. This research article emphasized at budding and optimizing a framework for virtual infrastructure and cloud computing model to support the organization stakeholders. Moreover it also improves the cloud security with a protected virtual infrastructure and communication model with better performance. On account of data storage security necessities and distinctiveness of cloud computing environment, a method for secured data & storage based on dynamic allocation and access control mechanism is presented. Dynamic resource allocation is applied for resource utilization that focused on data virtualization and memory virtualization, for protection and access control a modified KPABE algorithm is integrated. The combination of these methods resulting on the optimize resource use, centralizing of storage. The implementation and comparison of results revealed that the proposed modified KP-ABE has performed effectively than the other security standards and especially for resource utilization. The proposed method serves for efficient data storage, access control solutions and computation in cloud environment

Key Technologies of Cloud Computing Model

2013 ◽  
Vol 765-767 ◽  
pp. 972-974
Author(s):  
Li Fu Hsu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Programming Model ◽  
Computing Model ◽  
Application Systems ◽  
Key Technologies ◽  
New Type ◽  
Software Service ◽  
Basic Characteristics ◽  
Definition Of

Could computing is a new type of computing mode, it distributes computation task on the resource pool which consists of massive computers, so the application systems can obtain the computation power, the storage space and software service according to its demand. The understanding of cloud computing is developing and changing constantly, cloud computing still has no unanimous definition. This paper describes three main service forms of cloud computing: SAAS, PAAS, IAAS, compared the definition of cloud computing which is given by Google, Amazon, IBM and other companies, summarized the basic characteristics of cloud computing, and emphasized on the key technologies such as data storage, data management, virtualization and programming model.

scholarly journals A Study of Data Storage for E –Learning in Cloud Computing

2021 ◽  
pp. 34-37
Author(s):  
Dr. Nikunj Raval
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Service ◽  
Point Of View ◽  
Virtual Labs ◽  
Learning Condition ◽  
Additional Layer ◽  
Data Owner ◽  
Learning Procedure ◽  
E Learning

Cloud computing provides on demand services to its clients. Data storage is among one of the primary services provided by cloud computing. Cloud service provider hosts the data of data owner on their server and user can access their data from these servers. As data, owners and servers are different identities, the paradigm of data storage brings up many security challenges. An independent mechanism is required to make sure that data is correctly hosted in to the cloud storage server. In this paper, we will discuss the different techniques that are used for secure data storage on cloud. PC based research facilities are an essential part of the e-learning condition. With the presentation of Cloud Computing innovations an ever increasing number of labs move into the cloud, known as virtual labs. While there are numerous advantages for utilizing virtual labs, there is likewise an expansion unpredictability in regards to the use of them. There are numerous cloud administration frameworks (Cloud MS) which include an additional layer of multifaceted nature to the e-taking in encounter both from the point of view of the educator and of the understudy. The reason for the investigation is to recognize approaches to enhance the learning procedure using distributed computing advances, while lessening the unpredictability related with these advances the principle center is about the asking for, creation, arrangement, observing and administration of virtual labs utilizing Cloud Computing. IBM Tivoli Service Automation Manager and VMware Hypervisor are utilized for building a private cloud.

scholarly journals THE MEANING OF QUALITY OF ACCOUNTING LEARNING IN THE PANDEMIC TIME COVID 19 (INTERPRETATIVE STUDY AT THE HEAD OF PTM ACCOUNTING STUDY PROGRAM IN INDONESIA)

2021 ◽  
Vol 6 (1SP) ◽  
pp. 20
Author(s):  
Sarwenda Biduri ◽  
Sigit Hermawan ◽  
Wiwit Hariyanto
Keyword(s):  
Data Storage ◽  
Teaching And Learning ◽  
Learning Activities ◽  
Study Program ◽  
Storage Media ◽  
Quality Of Learning ◽  
E Learning ◽  
Quality Learning ◽  
Positive Effect

The Covid 19 pandemic that has occurred since December 2019 until now requires all teaching and learning activities for students to be temporarily carried out online from home, this learning is very different from conventional learning that occurs on campus, lecturers and students do not face directly but are separated. by distance that allows lecturers and students to be in different places, the positive effect of this learning really helps the continuity of the learning process during a pandemic like this. Lecturers and students must take advantage of communication media and social media as data storage media that can be used to record quality learning activities. The purpose of this research is, to find out how the quality of learning in accounting lecturers during the Covid 19 pandemic, to find out how the availability of IT and E-Learning helps in the quality of learning for accounting lecturers during the Covid 19 pandemic, to find out how the accounting program stakeholder strategy is to improve the quality of learning during the covid pandemic 19.

Application of Cloud Computing in Walling Management

2013 ◽  
Vol 756-759 ◽  
pp. 1840-1844
Author(s):  
Bo Li
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Data Storage ◽  
Paper Briefly ◽  
Management Platform ◽  
Model Based ◽  
Secure Data ◽  
Key Issues ◽  
Positive Effect

Facing the current inadequacy of informatization in walling management, this paper focuses on the design to use cloud computings reliability, secure data storage, convenient web services and strong capability of calculation. In addition, this paper sets up a model based on cloud-computing for walling management in governments. Firstly, the paper briefly introduces cloud computing, and then analyzes the advantage of walling management platform. Moreover, this paper points out the key issues should be solved. It will bring the positive effect of walling management informatization to government of China.

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