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Behl A.,Cisco Systems | Behl K.,Jagan Institute of Management Studies
Proceedings - 2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012 | Year: 2012

Cloud Computing - some treat it as a catchphrase, others as the next step in evolution of their organization and the Internet. However, what is for sure is that, it is a way of leveraging less expensive services based environment providing cost-effective solutions to various organizations to cater for their computing needs, without investing in computing infrastructure. However, cloud computing, just like other formats of computing, is not free from issues. One of the major barriers in adoption of cloud is security. Once migrated to cloud, you do not know where your data is physically stored, what laws and regulations govern the same and most important of all, who has access to it. This paper explores security issues related to cloud computing and proposes a paradigm for securing cloud. The paper investigates some of the key research challenges of implementing cloud-aware security solutions which can plausibly secure the ever-changing and dynamic cloud environment, followed by conclusion where we try to entail the whole research and try to formulate a practical security paradigm, which will enable the cloud providers and consumers to ensure that their data and valuable assets are safe from otherwise prying eyes. © 2012 IEEE. Source


Gupta K.,Jagan Institute of Management Studies | Arora S.R.,University of Delhi
OPSEARCH | Year: 2013

This paper develops a technique for minimizing time in a capacitated transportation problem with bounds on rim conditions. An algorithm in which a related transportation problem is formed minimizes the total time necessary for transporting goods from the suppliers to the consumers in a special class of capacitated transportation problems with bounds on total availabilities at sources and total destination requirements. The procedure involves finite iterations and is based on movement from one extreme point to another extreme point till we get an optimal solution that is with minimum time and further reduction in amount in the pipeline is not possible. A numerical example illustrating the algorithm is also included. © 2013 Operational Research Society of India. Source


Suri B.,University of Delhi | Singh P.,Jagan Institute of Management Studies
Lecture Notes in Electrical Engineering | Year: 2015

Information in organizations is managed efficiently by adopting data warehouses. Organizations are using data warehouses for integrating data from various heterogeneous sources in order to do analysis and make decision. Data warehouse quality is crucial because lack of quality in data warehouse may lead to rejection of the decision support system or may result in non-productive decision. A set of metrics have been defined and validated to measure the quality of the conceptual data model for data warehouse. In this paper, we first summarize the set of metrics for measuring the understand ability of conceptual data model for data warehouses. We focus on providing empirical validation by the family of experiments performed by us. The whole empirical work showed us that the subset of proposed metrics can be used as an indicator of conceptual model of data warehouses. © Springer International Publishing Switzerland 2015. Source


Singh P.,Jagan Institute of Management Studies | Suri B.,USICT
Smart Innovation, Systems and Technologies | Year: 2015

Data warehouses are used in organization for efficiently managing the information. The data from various heterogeneous data sources are integrated in data warehouse in order to do analysis and make decision. Data warehouse quality is very important as it is the main tool for strategic decision. Data warehouse quality is influenced by Data model quality which is further influenced by conceptual data model. In this paper, we first summarize the set of metrics for measuring the understand ability of conceptual data model for data warehouses. The statistical and machine learning methods are used to predict effect of structural metrics, on understand ability, efficiency and effectiveness of Data warehouse Multidimensional (MD) conceptual model. © Springer India 2015. Source


Anand S.,Gautam Buddha University | Saxena D.,Jagan Institute of Management Studies
Journal of Internet Banking and Commerce | Year: 2012

Financial Inclusion is a key determinant of sustainable and inclusive growth. Access to affordable financial services - especially credit and insurance - enlarges livelihood opportunities and empowers the poor to take charge of their lives. It is critical to connect the banked and the unbanked sectors and enable the unbanked to become vibrant and productive participants in the process of economic growth. Commercial Banks play an important role in financial inclusion and growth of the country. Considering India's vast population and its varied geography, this challenge cannot be met without appropriate technology. Technology has also facilitated reduction in cost of banking transactions, both for the customers as well as for the banks. Also the cost of setting up branches in unbanked areas is also removed. This paper is focusing on all the initiatives taken so far by the Indian commercial Banks in terms of technology, distribution channels, and initiatives for financial education for the unbanked masses. Initiatives analyzed will actually benefit to those banks who have not yet implemented any of the initiative, and will also be beneficial to the general public to make them aware about the steps/initiatives which are being taken for them and to spread out the reach of banks to the unbanked masses. © Sheweta Anand and Deepika Saxena, 2012. Source

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