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 Selection of optimal data placement using cloud infrastructure

2021 ◽  
pp. 34-42
Author(s):  
Vladimir Meikshan ◽  
◽  
Natalia Teslya ◽  
Keyword(s):  
Mathematical Model ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Information Storage ◽  
Cloud Infrastructure ◽  
Digital Ecosystem ◽  
Cloud Service Providers ◽  
The Cost

Benefits of using cloud technology are obvious, their application is expanding, as a result, it determines the steady growth of demand. Cloud computing has acquired particular relevance for large companies connected with Internet services, retailing, logistics that generate large volume of business and other information. The use of cloud technologies allows organizing the joint consumption of resources, solving the problems of storing and transferring significant amounts of data. Russian consumer cooperation refers to large territory distributed organizations actively forming their own digital ecosystem. The issue of data storing and processing for consumer coo-peration organizations is very relevant. At the same time, the prices of cloud service providers are significantly different and require solving the problem of minimizing the cost of storing and transferring significant amounts of data. The application of the linear programming method is considered to select the optimal data storage scheme for several cloud service providers having different technical and economic parameters of the package (maximum amount of storage, cost of allocated resources). Mathematical model includes the equation of costs for data storing and transferring and restrictions on the amount of storage, the amount of data and its safety. Software tool that allows to perform numerical calculations is selected Microsoft Excel in combination with the "search for solutions" add-on. In accordance with the mathematical model, the conditions for minimizing the amount of cloud storage costs and the necessary restrictions are established. Initial data are set for three data forming centers, storages of certain size for five cloud service providers and nominal price for information storage and transmission. Calculations of expenses are performed in several variants: without optimization, with the solution of the optimization problem, with price increase by cloud service providers. Results of the calculations confirm the necessity to solve the problem of minimizing the cost of cloud services for corporate clients. The presented model can be expanded for any cost conditions as well as for different areas of cloud applications.

Advanced Data Storage Security System for Public Cloud

2020 ◽  
Vol 3 (2) ◽  
pp. 21-30
Author(s):  
Jitendra Kumar ◽  
Mohammed Ammar ◽  
Shah Abhay Kantilal ◽  
Vaishali R. Thakare
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Dynamic Capabilities ◽  
Data Transfer ◽  
Service Providers ◽  
Open Systems ◽  
Cloud Infrastructure ◽  
Great Loss ◽  
Security Issues ◽  
Data Auditing

Cloud is a collective term for a large number of developments and possibilities. Various data can be stored by the large amount of people onto the cloud storage facility without any bound of limitations as it provides tremendous space. Open systems like Android (Google Apps) still face many day- to-day security threats or attacks. With recent demand, cloud computing has raised security concerns for both service providers and consumers. Major issues like data transfer over wireless network across the globe have to be protected from unauthorized usage over the cloud as altered data can lead to great loss. In this regard, data auditing along with integrity, dynamic capabilities, and privacy preserving, and plays as an important role for preventing data from various cloud attacks which is considered in this work. The work also includes efficient auditor which plays a crucial role in securing the cloud environment. This paper presents a review on the cloud computing concepts and security issues inherent within the context of cloud computing and cloud infrastructure.

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 A Review of Machine Learning Algorithms for Cloud Computing Security

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1379
Author(s):  
Umer Ahmed Butt ◽  
Muhammad Mehmood ◽  
Syed Bilal Hussain Shah ◽  
Rashid Amin ◽  
M. Waqas Shaukat ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Data Storage ◽  
Response Times ◽  
Edge Computing ◽  
Machine Learning Algorithms ◽  
Information Storage ◽  
Future Research ◽  
Computer Algorithms ◽  
Advantages And Disadvantages

Cloud computing (CC) is on-demand accessibility of network resources, especially data storage and processing power, without special and direct management by the users. CC recently has emerged as a set of public and private datacenters that offers the client a single platform across the Internet. Edge computing is an evolving computing paradigm that brings computation and information storage nearer to the end-users to improve response times and spare transmission capacity. Mobile CC (MCC) uses distributed computing to convey applications to cell phones. However, CC and edge computing have security challenges, including vulnerability for clients and association acknowledgment, that delay the rapid adoption of computing models. Machine learning (ML) is the investigation of computer algorithms that improve naturally through experience. In this review paper, we present an analysis of CC security threats, issues, and solutions that utilized one or several ML algorithms. We review different ML algorithms that are used to overcome the cloud security issues including supervised, unsupervised, semi-supervised, and reinforcement learning. Then, we compare the performance of each technique based on their features, advantages, and disadvantages. Moreover, we enlist future research directions to secure CC models.

Cloud Computing

2015 ◽  
Vol 5 (2) ◽  
pp. 53-61 ◽  
Author(s):  
Shimaa Ouf ◽  
Mona Nasr
Keyword(s):  
Cloud Computing ◽  
Electrical Power ◽  
Cloud Service ◽  
Information Storage ◽  
It Management ◽  
Maintenance Cost ◽  
Computing Model ◽  
Cost Efficient ◽  
Server Maintenance ◽  
Infrastructure Maintenance

The population is living in a complex world at information explosion age. Today in Enterprises, the size and complexity of managing information have been increasing significantly and the demand for cost efficient information storage and processing grows higher. Enterprises need to optimize their IT management and minimize server maintenance costs become greater as usage demands prove to be increasingly unpredictable. Cloud computing offers a promising solution. Cloud computing is a computing model that relies on a large, centralized data center to store and process a great wealth of information. Computing power and storage space are provided on-demand to Enterprises that outsource their IT management to the cloud service provider. The immediate advantage to this computing model is a lower infrastructure maintenance cost. Since Enterprises that use cloud no longer require on-site servers, they eliminate the associated cost in IT management and electrical power.

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

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.

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.

Study on the Architecture of Mobile Campus Digital Library System

2014 ◽  
Vol 608-609 ◽  
pp. 425-429 ◽  
Author(s):  
Chang Li Sun ◽  
Chang Liu ◽  
Dan Shi
Keyword(s):  
Cloud Computing ◽  
Digital Library ◽  
Mobile Internet ◽  
Information Storage ◽  
General Idea ◽  
Information Platform ◽  
Computing Model ◽  
Depth Study ◽  
Digital Library System ◽  
Massive Information

Cloud computing and mobile Internet is a new computing model based on Internet business that is a mixture of many technical results, it has the advantage of safe and reliable, massive information storage, fast and convenient. This paper mainly discusses the advantages of mobile digital library, and puts forward the mode of constructing the cloud computing and mobile Internet library based on information platform, analyzes the basic architecture of mobile library, in-depth study cloud computing and mobile Internet in library information platform access model and database model, finally the paper gives general idea to construct digital library using mobile WAP Technology.

Integration Method for Information System with Cloud Computing

2011 ◽  
Vol 368-373 ◽  
pp. 3473-3476 ◽  
Author(s):  
Jie Liu ◽  
Xian Sheng Qin
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Information Integration ◽  
Medical Image ◽  
Integration Method ◽  
Image Data ◽  
Medical Data ◽  
Application Layer ◽  
Mapreduce Framework ◽  
Medical Image Data

This work proposes a method of information integration based Cloud Computing. Users can ask for services through application layer, using the open source Hadoop and implementing medical image data storage and analysis. The functional level of this system is on the basis of service. In our experiments, using the MapReduce framework, efficiently implement the DCM format medical data convert to JPEG format picture. We are working on the function to directly read the medical data which is stored in PACS.

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