Database Systems Journal, Vol. III, Issue 2/2012
|
1. Implementation of Cloud Computing into VoIP (p. 3-12)Floriana GEREA, University of Economic Studies, Bucharest, Romania |
|
This article defines Cloud Computing and highlights key concepts, the benefits of using virtualization, its weaknesses and ways of combining it with classical VoIP technologies applied to large scale businesses. The analysis takes into consideration management strategies and resources for better customer orientation and risk management all for sustaining the Service Level Agreement (SLA). An important issue in cloud computing can be security and for this reason there are several security solution presented.
Keywords: Cloud computing, VoIP, Data virtualization, DoS. |
2. Banking Intelligence Accelerator – Decision Support (p. 13-22)Adrian MUNTEANU, University of Economic Studies, Bucharest, RomaniaOvidiu RADUTA, University of Economic Studies, Bucharest, Romania |
|
Along with the development of information technology, Business Intelligence plays an important role in banking operation process. Business Intelligence in banking sector is a method of storing and presenting key bank business data so that any key user can quickly and easily ask questions of accurate and timely data. The growing competition and increased speed of business changes has dramatically shown the need for business intelligence in banking sector. In this paper, we analyze the business intelligence components, how they fit the banking sector and how they can be secured to match the framework of the whole banking information system. Having the decision process analyzed in the banking field, we propose an architectural model to sustain the decision and integrate easily in the complex banking environment.
Keywords: Business Intelligence, Decision, Data Warehouse, Architecture, Banking Accelerator. |
3. Clustering Analysis for Credit Default Probabilities in a Retail Bank Portfolio (p. 23-30)Adela Ioana TUDOR, University of Economic Studies, Bucharest, RomaniaAdela BARA, University of Economic Studies, Bucharest, Romania Elena ANDREI (DRAGOMIR), University of Economic Studies, Bucharest, Romania |
|
Methods underlying cluster analysis are very useful in data analysis, especially when the processed volume of data is very large, so that it becomes impossible to extract essential information, unless specific instruments are used to summarize and structure the gross information. In this context, cluster analysis techniques are used particularly, for systematic information analysis. The aim of this article is to build an useful model for banking field, based on data mining techniques, by dividing the groups of borrowers into clusters, in order to obtain a profile of the customers (debtors and good payers). We assume that a class is appropriate if it contains members that have a high degree of similarity and the standard method for measuring the similarity within a group shows the lowest variance. After clustering, data mining techniques are implemented on the cluster with bad debtors, reaching a very high accuracy after implementation. The paper is structured as follows: Section 2 describes the model for data analysis based on a specific scoring model that we proposed. In section 3, we present a cluster analysis using K-means algorithm and the DM models are applied on a specific cluster. Section 4 shows the conclusions.
Keywords: Data Mining, Cluster Analysis, Artificial Intelligence. |
4. A Framework for Semi-Automated Implementation of Multidimensional Data Models (p. 31-40)Ilona Mariana NAGY, Faculty of Economics and Business Administration, Babes-Bolyai University, Cluj-Napoca, Romania |
|
Data warehousing solution development represents a challenging task which requires the employment of considerable resources on behalf of enterprises and sustained commitment from the stakeholders. Costs derive mostly from the amount of time invested in the design and physical implementation of these large projects, time that we consider, may be decreased through the automation of several processes. Thus, we present a framework for semi-automated implementation of multidimensional data models and introduce an automation prototype intended to reduce the time of data structures generation in the warehousing environment. Our research is focused on the design of an automation component and the development of a corresponding prototype from technical metadata.
Keywords: Data Warehouse, Multidimensional Data Model, Automatic Data Structure Generation, Technical Metadata. |
5. Analysis on Cloud Computing Database in Cloud Environment – Concept and Adoption Paradigm (p. 41-48)Elena-Geanina ULARU, University of Economic Studies, Bucharest, RomaniaFlorina PUICAN, University of Economic Studies, Bucharest, Romania Manole VELICANU, University of Economic Studies, Bucharest, Romania |
|
With the development of the Internet’s new technical functionalities, new concepts have started to take shape. These concepts have an important role especially in the development of corporate IT. Such a concept is „the Cloud”. Various marketing campaigns have started to focus on the Cloud and began to promote it in different but confusing ways. This campaigns do little, to explain what cloud computing is and why it is becoming increasingly necessary. The lack of understanding in this new technology generates a lack of knowledge in business cloud adoption regarding database and also application. Only by focusing on the business processes and objectives an enterprise can achieve the full benefits of the cloud and mitigate the potential risks. In this article we create our own complete definition of the cloud and we analyze the essential aspects of cloud adoption for a banking financial reporting application.
Keywords: Database, Cloud Computing, SaaS, IaaS, PaaS, Virtualization. |
6. Security Aspects for Business Solution Development on Portal Technology (p. 49-60)Ovidiu RADUTA, University of Economic Studies, Bucharest, RomaniaAdrian MUNTEANU, University of Economic Studies, Bucharest, Romania |
|
In the scope of portal development, in order to talk about security issues, concerns, and solutions, it is necessary to define a few terms: authentication, authorization, Single Sign-On (SSO), confidentiality, integrity, and non-repudiation. Focusing on the scope of what the portal developer and designer need to know, below it will be explained these concepts, considering it is important to define and make a brief analysis of these terms for understanding of achieving the security goals.
Keywords: Role-Based Access Control, Data Encryption, Data Integrity, Non-repudiation, Grid Computing. |