scholarly journals Geo-spatial Service and Application based on National E-government Network Platform and Cloud

2014 ◽  
Vol XL-4 ◽  
pp. 175-179
Author(s):  
X. Meng ◽  
Y. Deng ◽  
H. Li ◽  
L. Yao ◽  
J. Shi
Keyword(s):  
Cloud Computing ◽  
Natural Resources ◽  
It Services ◽  
Geospatial Information ◽  
Practical Applications ◽  
Fundamental Information ◽  
Information Products ◽  
Network Platform ◽  
Innovative Resources ◽  
Government Network

With the acceleration of China’s informatization process, our party and government take a substantive stride in advancing development and application of digital technology, which promotes the evolution of e-government and its informatization. Meanwhile, as a service mode based on innovative resources, cloud computing may connect huge pools together to provide a variety of IT services, and has become one relatively mature technical pattern with further studies and massive practical applications. Based on cloud computing technology and national e-government network platform, "National Natural Resources and Geospatial Database (NRGD)" project integrated and transformed natural resources and geospatial information dispersed in various sectors and regions, established logically unified and physically dispersed fundamental database and developed national integrated information database system supporting main e-government applications. Cross-sector e-government applications and services are realized to provide long-term, stable and standardized natural resources and geospatial fundamental information products and services for national egovernment and public users.

scholarly journals Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing

2020 ◽  
Author(s):  
Shreshth Tuli ◽  
Shikhar Tuli ◽  
Rakesh Tuli ◽  
Sukhpal Singh Gill
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Design Strategies ◽  
Potential Threat ◽  
Practical Applications ◽  
Computing Platform ◽  
Data Driven Approach ◽  
Cloud Computing Platform ◽  
The Government ◽  
Improved Model

AbstractThe outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing day by day. Machine Learning (ML) and Cloud Computing can be deployed very effectively to track the disease, predict growth of the epidemic and design strategies and policy to manage its spread. This study applies an improved mathematical model to analyse and predict the growth of the epidemic. An ML-based improved model has been applied to predict the potential threat of COVID-19 in countries worldwide. We show that using iterative weighting for fitting Generalized Inverse Weibull distribution, a better fit can be obtained to develop a prediction framework. This can be deployed on a cloud computing platform for more accurate and real-time prediction of the growth behavior of the epidemic. A data driven approach with higher accuracy as here can be very useful for a proactive response from the government and citizens. Finally, we propose a set of research opportunities and setup grounds for further practical applications. Predicted curves for some of the most affected countries can be seen at https://collaboration.coraltele.com/covid/.

Cloud-based e-health Applications in Palestine: Challenges and Success Opportunities

2019 ◽  
Vol 7 (2) ◽  
pp. 15-20
Author(s):  
Mousa Abdoh ◽  
Nael Salman
Keyword(s):  
Cloud Computing ◽  
Healthcare Service ◽  
Analytical Study ◽  
Low Cost ◽  
It Services ◽  
Potential Models ◽  
It Service ◽  
Current State ◽  
Challenges And Opportunities ◽  
Health Applications

Healthcare service costs are rising all over the world. That is mainly due to the lack of healthcare professionals and IT services.  Cloud computing is an emerging trend that provides a robust infrastructure that enables delivering low-cost services over the internet. In this paper, we conducted an analytical study on the e-health services in Palestine to investigate the current state-of-art and examine all challenges and opportunities to benefit from this technology. Collected data has been analyzed and the results revealed that there is a clear gap between the IT service models provided by Palestinian healthcare service provider, and the potential models based on latest IT trends; mainly, cloud computing. 

Energy-Efficiency in Cloud Data Centers

2013 ◽  
pp. 241-263
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Data Center ◽  
Energy Efficient ◽  
Large Scale ◽  
Data Centers ◽  
High Energy ◽  
It Services ◽  
Data Center Network ◽  
Cloud Data

Cloud computing aims to migrate IT services to distant data centers in order to reduce the dependency of the services on the limited local resources. Cloud computing provides access to distant computing resources via Web services while the end user is not aware of how the IT infrastructure is managed. Besides the novelties and advantages of cloud computing, deployment of a large number of servers and data centers introduces the challenge of high energy consumption. Additionally, transportation of IT services over the Internet backbone accumulates the energy consumption problem of the backbone infrastructure. In this chapter, the authors cover energy-efficient cloud computing studies in the data center involving various aspects such as: reduction of processing, storage, and data center network-related power consumption. They first provide a brief overview of the existing approaches on cool data centers that can be mainly grouped as studies on virtualization techniques, energy-efficient data center network design schemes, and studies that monitor the data center thermal activity by Wireless Sensor Networks (WSNs). The authors also present solutions that aim to reduce energy consumption in data centers by considering the communications aspects over the backbone of large-scale cloud systems.

A University of Greenwich Case Study of Cloud Computing

2015 ◽  
pp. 1140-1161 ◽  
Author(s):  
Victor Chang ◽  
Gary Wills
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Business Model ◽  
Business Models ◽  
The Other ◽  
Added Value ◽  
It Services ◽  
Success Criteria ◽  
The University

This chapter proposes a new Supply Chain Business Model in the Education domain and demonstrates how Education as a Service (EaaS) can be delivered. The implementation at the University of Greenwich (UoG) is used as a case study. Cloud computing business models are classified into eight Business Models; this classification is essential to the development of EaaS. A pair of the Hexagon Models are used to review Cloud projects against success criteria; one Hexagon Model focuses on Business Model and the other on IT Services. The UoG case study demonstrates the added value offered by Supply Chain software deployed by private Cloud, where an Oracle suite and SAP supply chain can demonstrate supply chain distribution and is useful for teaching. The evaluation shows that students feel more motivated and can understand their coursework better.

CloudGanga

2019 ◽  
pp. 278-297 ◽  
Author(s):  
Rabindra K. Barik
Keyword(s):  
Cloud Computing ◽  
Spatial Data ◽  
Learning Approaches ◽  
Geospatial Information ◽  
Ganga Basin ◽  
Hydro Power ◽  
Data Infrastructure ◽  
Irrigation Project ◽  
Well Location ◽  
River Ganga

The present research paper proposes and develops a Cloud computing based Spatial Data Infrastructure (SDI) Model named as CloudGanga for sharing, analysis and processing of geospatial data particularly in River Ganga Basin management in India. The main purpose of the CloudGanga is to integrate all the geospatial information such as dam location, well location, irrigation project, hydro power project, canal network and central Water Commission gauge stations locations related to River Ganga. CloudGanga can help the decision maker/ planner or common users to get enough information for their further research and studies. The open source software (Quantum GIS) has been used for the development of geospatial database. QGIS Plugin has been linked with Quantum GIS for invoking cloud computing environment. It has also discussed about the various overlay analysis in CloudGanga environment. In the present research, machine learning approaches are also used in a R tool for well locations which are associated with the basin of River Ganga.

Cloud Computing for E-Governance

2019 ◽  
pp. 113-144
Author(s):  
N. Raghavendra Rao
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Resource Management ◽  
Natural Resources ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Collaborative Technology ◽  
Information And Communication

Multidisciplinary experts are required to develop a model for resource management in a country. Various concepts in information and communication technology are required to be applied in designing and developing a model for the management of natural resources. The concepts such as cloud computing along with social media play an important role. Case illustrations are discussed in this chapter stressing the role of cloud computing along with the concepts of collaborative technology in developing models for the benefit of citizens in a country.

A Survey on Comparison of Performance Analysis on a Cloud-Based Big Data Framework

2022 ◽  
pp. 1865-1875
Author(s):  
Krishan Tuli ◽  
Amanpreet Kaur ◽  
Meenakshi Sharma
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
It Services ◽  
Huge Amount ◽  
Data Framework ◽  
Development Tools ◽  
Cloud Framework ◽  
Suitable Framework ◽  
Cloud Applications ◽  
Day By Day

Cloud computing is offering various IT services to many users in the work on the basis of pay-as-you-use model. As the data is increasing day by day, there is a huge requirement for cloud applications that manage such a huge amount of data. Basically, a best solution for analyzing such amounts of data and handles a large dataset. Various companies are providing such framesets for particular applications. A cloud framework is the accruement of different components which is similar to the development tools, various middleware for particular applications and various other database management services that are needed for cloud computing deployment, development and managing the various applications of the cloud. This results in an effective model for scaling such a huge amount of data in dynamically allocated recourses along with solving their complex problems. This article is about the survey on the performance of the big data framework based on a cloud from various endeavors which assists ventures to pick a suitable framework for their work and get a desired outcome.

scholarly journals Cloud-Based DDoS HTTP Attack Detection Using Covariance Matrix Approach

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Abdulaziz Aborujilah ◽  
Shahrulniza Musa
Keyword(s):  
Cloud Computing ◽  
Covariance Matrix ◽  
Daily Life ◽  
Confusion Matrix ◽  
Attack Detection ◽  
Matrix Approach ◽  
It Services ◽  
Computing Technology ◽  
Ddos Attack

In this era of technology, cloud computing technology has become essential part of the IT services used the daily life. In this regard, website hosting services are gradually moving to the cloud. This adds new valued feature to the cloud-based websites and at the same time introduces new threats for such services. DDoS attack is one such serious threat. Covariance matrix approach is used in this article to detect such attacks. The results were encouraging, according to confusion matrix and ROC descriptors.

Security Issues in Cloud Computing

2011 ◽  
Vol 1 (3) ◽  
pp. 1-11 ◽  
Author(s):  
Kamal Dahbur ◽  
Bassil Mohammad ◽  
Ahmad Bisher Tarakji
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
It Services ◽  
Technology Infrastructure ◽  
Information Technology Infrastructure ◽  
Capital Costs ◽  
Security Issues ◽  
Complex Information ◽  
Security Concerns

Cloud Computing (CC) is revolutionizing the methodology by which IT services are being utilized. It is being introduced and marketed with many attractive promises that are enticing to many companies and managers, such as reduced capital costs and relief from managing complex information technology infrastructure. However, along with desirable benefits come risks and security concerns that must be considered and addressed correctly. Thus, security issues must be considered as a major issue when considering Cloud Computing. This paper discusses Cloud Computing and its related concepts; highlights and categorizes many of the security issues introduced by the “cloud”; surveys the risks, threats, and vulnerabilities; and makes the necessary recommendations that can help promote the benefits and mitigate the risks associated with Cloud Computing.

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