Cloud Computing: A Multi-tenant Case Study

2015 ◽  
pp. 178-189 ◽  
Author(s):  
Anindya Hossain ◽  
Farid Shirazi
Keyword(s):  
Cloud Computing

Improvements in Web Based ERP Software Architecture as Implemented on the Cloud

2017 ◽  
Vol 7 (11) ◽  
pp. 22
Author(s):  
Shruti Makarand Kanade
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Cloud Computing ◽  
Software Architecture ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Web Based ◽  
Manufacturing Company ◽  
Erp Software

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.

Pyramid: A Case Study of Cyber Security in India

2015 ◽  
Vol 4 (1) ◽  
pp. 135-142 ◽  
Author(s):  
Nimisha Singh ◽  
Abha Rishi
Keyword(s):  
Cloud Computing ◽  
Law Enforcement ◽  
Cyber Security ◽  
Cloud Platform ◽  
The Public ◽  
Security Breaches ◽  
Digital Network ◽  
Digital Crime ◽  
A Company

As the world becomes increasingly interlinked through the Internet, cyberspace frauds are also on the rise. This is a case study on a company, Pyramid Cyber Security (P) Ltd., which specializes in digital crime, fraud and forensic solutions and services in India. Over the years, the company has established several digital forensics laboratories and security projects for agencies in law enforcement, the public sector and corporate organizations. With the scalability, flexibility and economic advantage offered by cloud computing, more and more organizations are moving towards cloud for their applications. With all the benefits of cloud computing, it also opens up a company to the danger of digital crime and security breaches on the cloud platform. This has thrown open new vistas for Pyramid, putting it in a dilemma of whether to focus on the existing business or explore new opportunities in cloud forensics investigation thrown by the wide acceptance of cloud computing. It also poses the question whether a company should go in for pre-incident or post-incident digital network security architecture. It is a teaching case.

scholarly journals The Challenges of Institutional Distance: Data Privacy Issues in Cloud Computing

2018 ◽  
Vol 24 (1) ◽  
pp. 161-181 ◽  
Author(s):  
Yashar Abed ◽  
Meena Chavan
Keyword(s):  
Cloud Computing ◽  
Multinational Corporations ◽  
Data Privacy ◽  
Service Providers ◽  
Host Countries ◽  
Case Study Methodology ◽  
Regulatory Constraints ◽  
Cloud Computing Service ◽  
Privacy Issues

Data protection and data privacy are significant challenges in cloud computing for multinational corporations. There are no standard laws to protect data across borders. The institutional and regulatory constraints and governance differ across countries. This article explores the challenges of institutional constraints faced by cloud computing service providers in regard to data privacy issues across borders. Through a qualitative case study methodology, this research compares the institutional structure of a few host countries, with regard to data privacy in cloud computing and delineates a relative case study. This article will also review the cloud computing legal frameworks and the history of cloud computing to make the concept more comprehensible to a layman.

Use of Cloud Computing in Project Management

2015 ◽  
Vol 791 ◽  
pp. 49-55
Author(s):  
Jolanta Słoniec
Keyword(s):  
Cloud Computing ◽  
Project Management ◽  
The Other ◽  
Business Activity ◽  
Technical Documentation ◽  
Railway Station ◽  
Erp System ◽  
International Enterprise

The paper presents the possibility of using cloud computing in project management. Cloud computing is the most rapidly growing field of IT and is used in many areas of business activity. Modern companies and organizations carry out many activities in the form of projects. Case study of two projects using cloud computing shows that it is possible and can be successful use of cloud computing in project management. The first project involved the transfer of ERP system in an international enterprise, and the other, a smaller one, involved the implementation of technical documentation in railway station reconstruction. The scope of the projects were different and the using of cloud computing were different. Finished projects testify to the fact that the project needs may impinge on the different ways to use cloud computing. And that the projects can be successful.

scholarly journals Modeling of Groundwater Potential Using Cloud Computing Platform: A Case Study from Nineveh Plain, Northern Iraq

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3330
Author(s):  
Ali ZA. Al-Ozeer ◽  
Alaa M. Al-Abadi ◽  
Tariq Abed Hussain ◽  
Alan E. Fryar ◽  
Biswajeet Pradhan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Specific Yield ◽  
Support Vector ◽  
Northern Iraq ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Very High

Knowledge of the groundwater potential, especially in an arid region, can play a major role in planning the sustainable management of groundwater resources. In this study, nine machine learning (ML) algorithms—namely, Artificial Neural Network (ANN), Decision Jungle (DJ), Averaged Perceptron (AP), Bayes Point Machine (BPM), Decision Forest (DF), Locally-Deep Support Vector Machine (LD-SVM), Boosted Decision Tree (BDT), Logistic Regression (LG), and Support Vector Machine (SVM)—were run on the Microsoft Azure cloud computing platform to model the groundwater potential. We investigated the relationship between 512 operating boreholes with a specified specific capacity and 14 groundwater-influencing occurrence factors. The unconfined aquifer in the Nineveh plain, Mosul Governorate, northern Iraq, was used as a case study. The groundwater-influencing factors used included elevation, slope, curvature, topographic wetness index, stream power index, soil, land use/land cover (LULC), geology, drainage density, aquifer saturated thickness, aquifer hydraulic conductivity, aquifer specific yield, depth to groundwater, distance to faults, and fault density. Analysis of the contribution of these factors in groundwater potential using information gain ratio indicated that aquifer saturated thickness, rainfall, hydraulic conductivity, depth to groundwater, specific yield, and elevation were the most important factors (average merit > 0.1), followed by geology, fault density, drainage density, soil, LULC, and distance to faults (average merit < 0.1). The average merits for the remaining factors were zero, and thus, these factors were removed from the analysis. When the selected ML classifiers were used to estimate groundwater potential in the Azure cloud computing environment, the DJ and BDT models performed the best in terms of all statistical error measures used (accuracy, precision, recall, F-score, and area under the receiver operating characteristics curve), followed by DF and LD-SVM. The probability of groundwater potential from these algorithms was mapped and visualized into five groundwater potential zones: very low, low, moderate, high, and very high, which correspond to the northern (very low to low), southern (moderate), and middle (high to very high) portions of the study area. Using a cloud computing service provides an improved platform for quickly and cheaply running and testing different algorithms for predicting groundwater potential.

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