Measuring and Analyzing Energy Consumption of the Data Center

Data centers are continuously expanding, so does the energy consumed to power their infrastructure. Server is the major component of data center’s computer rooms, which runs the most intensive computational workloads and stores the data. Server is responsible for more than a quarter of the total energy consumption of data center. This thesis is focused on analyzing and predicting the energy consumption of the server. Three major components are considered in our study; the processor, the access memory and the network interface controller. We collect data from these components and analyze them using linear regression Lasso model with non-negative coefficients. A power model is proposed for predicting energy consumption at the system-level. The model takes as input CPU cycles and data Translation Lookaside Buffer loads, and predicts the energy consumption of the server with 5.33% median error regardless of its workload

Virtualization and shared Infrastructure data storage for IT in Kosovo institutions

This capstone project addressed the need to strengthen the centralization and security of the electronic data from various national institutions in Kosovo. Most of the electronic data in Kosovo Institutions are separated in so many server rooms in different institutions and different locations. The Republic of Kosovo institutions have different systems of data stored in different physical spaces. Most of these data should be exchangeable in different systems and different data bases. The country lacks physical security in the current system of data security and professional staff for maintaining such data (databases, applications, and other electronic data). The budget of Kosovo is making higher and unnecessary expenditure in the field of information and technology. This project would be a good alternative in order to reduce budgetary expenditure of Kosovo ... The outcome of this project provides recommendations in order to achieve the goals of the project. The three main recommendations of the project are centralization, virtualization and business continuity

Strategies Business Leaders Use to Mitigate Online Credit Card Fraud

Online credit card fraud targeting banks, customers, and businesses costs millions of U.S. dollars annually. Online business leaders face challenges securing and regulating the online payment processing environment. Grounded in the situational crime prevention theory, the purpose of this qualitative multiple case study was to explore strategies online business leaders use to mitigate the loss of revenue caused by online credit card fraud. The participants comprised five online business leaders of an organization in the Southwest of the United States, who implemented strategies that successfully mitigated revenue losses due to online credit card fraud. The data were collected from semistructured interviews, archival records, and business investment rating reports. Data were analyzed using Yin\u27s five-step data analysis process. The following themes emerged from the data analysis: data management, analysis, and monitoring; internal stakeholders; customer experience; and partnership with online security tool service provider(s). Key recommendations to online business leaders include the development of system security strategies that ensure cardholders’ and business’ data protection, collaboration across departments in the organization to support fraud solutions, and customer engagement. The implications for positive social change include the potential to gain or retain consumer confidence in e-commerce and reduce consumers’ collateral damage from credit card fraud

DEVELOPMENT OF A FAIR CHARGING MODEL FOR A PUBLIC DATA CENTER

The purpose of the study was to explore how a public, IT services transferor, organization, comprised of autonomous entities, can effectively develop and organize its data center cost recovery mechanisms in a fair manner. The lack of a well-defined model for charges and a cost recovery scheme could cause various problems. For example one entity may be subsidizing the costs of another entity(s). Transfer pricing is in the best interest of each autonomous entity in a CCA. While transfer pricing plays a pivotal role in the price settings of services and intangible assets, TCE focuses on the arrangement at the boundary between entities. TCE is concerned with the costs, autonomy, and cooperation issues of an organization. The theory is concern with the factors that influence intra-firm transaction costs and attempting to manifest the problems involved in the determination of the charges or prices of the transactions. This study was carried out, as a single case study, in a public organization. The organization intended to transfer the IT services of its own affiliated public entities and was in the process of establishing a municipal-joint data center. Nine semi-structured interviews, including two pilot interviews, were conducted with the experts and managers of the case company and its affiliating entities. The purpose of these interviews was to explore the charging and pricing issues of the intra-firm transactions. In order to process and summarize the findings, this study employed qualitative techniques with the multiple methods of data collection. The study, by reviewing the TCE theory and a sample of transfer pricing literature, created an IT services pricing framework as a conceptual tool for illustrating the structure of transferring costs. Antecedents and consequences of the transfer price based on TCE were developed. An explanatory fair charging model was eventually developed and suggested. The findings of the study suggested that the Chargeback system was inappropriate scheme for an organization with affiliated autonomous entities. The main contribution of the study was the application of TP methodologies in the public sphere with no tax issues consideration.siirretty Doriast

ACUTA eNews February 2014 Vol. 43, No. 2

In this Issue.,. 1 Benefitting from ACUTA 2 Thanks to Fall Seminar Exhibitors dt Sponsors 3 Collaboration Is Not Automatic 4 Webinar: IAM 5 Board Report 5 Discounted Dallas Mavericks Tickets 6 Two Top Legislatiott Issues Facing Higher Ed 7 lnfo Links 8 Welcome New Members 8 Check It Ou

Addressing the Class Claim Conundrum with Online Dispute Resolution

Consumers with similar claims in the United States (U.S.) often join forces to launch representative, or class , actions. This allows them to obtain remedies with little cost and effort and serves a private attorney general function by bringing light to purchase problems that public enforcement offices may not have the resources to address. This is especially important for lower dollar claims that are too costly for each consumer to pursue individually. Nonetheless, some have criticized class actions in the U.S. for forcing settlements and padding the pockets of lawyers, while leaving consumers with minimal pay outs. At the same time, European consumers complain that the lack of class action procedures in the European Union (E.U.) has diminished their access to remedies for small dollar claims. Accordingly, there are complaints on both sides; some view the U.S. class action system as abusive while others argue that the E. U. should adopt a similar system in order to provide access to remedies through mass claims. This Article provides a brief comparison of U.S. versus E.U. law with respect to class actions, noting how this dichotomy creates a class action conundrum due to these actions\u27 vices and virtues. The Article then argues that in light of this conundrum, it is time to consider innovations beyond class actions. The time is ripe to renew consideration of a global online dispute resolution ( ODR ) process for mass claims to promote consumer protection on a worldwide level

Estimation and forecasting of ecological efficiency of virtual machines

The massive development of the cloud marketplace is leading to an increase in the number of the Data Centers (DCs) globally and eventually to an increase of the CO22 related footprint. The calculation of the impact of Virtual Machines (VMs) on the environment is a challenging task, not only due to the technical difficulties but also due to the lack of information from the energy providers. The ecological efficiency of a system captures the relationship between the performance of the system with its environmental footprint. In this paper we present a methodology for the estimation and prediction of the ecological efficiency of VMs in private cloud infrastructures. We specifically focus on the information management starting from the energy resources in a region, the energy consumption and the performance of the resources and finally the calculation of ecological efficiency of a VM. To this end, we have designed and implemented a framework through which the ecological efficiency of a running VM can be assessed and the ecological efficiency of a VM to be deployed can be forecasted. The presented framework is being evaluated through several private cloud scenarios with VM deployments in hosts located in Germany.Peer ReviewedPostprint (author's final draft