HYBRID CLOUD EXPLOITING THE ASSETS OF BUSINESS VALUE

Cloud is kind of centralized database where numerous clients accumulate their data, recover data and possibly adjust data and it is a representation where user is made available services by Cloud Service Provider on the basis of pay per use.  Numerous organizations are now taking most important steps in the direction of cloud computing. A hybrid cloud is a grouping of both public and private clouds which are bound mutually by either harmonized or proprietary knowledge that facilitates data and application portability. Hybrid clouds present the benefits of outlay and scale of public clouds although also offering the security and organizing of private clouds. Hybrid clouds can be measured an intermediary stage as enterprises organize to progress for the most part of their workloads to public clouds. All along with the characteristic security concerns associated through private clouds, there are several additional factors one should regard in a hybrid environment. Hybrid environments entail both on-premise and public cloud providers, several additional infrastructure security considerations come into the view which is normally related with public clouds

Investigating the cloud computing business framework - modelling and benchmarking of financial assets and job submissions in clouds

Literature identifies three business challenges in clouds: (i) little linkage between qualitative and quantitative cloud business frameworks in the same domain; (ii) few structured frameworks to measure cloud business performance and (iii) application portability from desktops to clouds, and later on between clouds offered by different vendors. To address these three problems, we propose the Cloud Computing Business Framework (CCBF), which contains Financial Cloud Framework (FCF), Middleware Framework (MF) and the other two frameworks. FCF and MF are to deal with portability issue. In FCF, we select Monte Carlo Methods (MCM) for pricing and Black Scholes Model (BSM) for risk analysis. In MF, we select OMII-UK's GridSAM 2.3 to demonstrate job submission in clouds, and compare benchmarking results with our MCM and BSM models. Our objective is to demonstrate portability, speed, accuracy and reliability of applications in the clouds, and present how modelling, simulation and benchmarking fit into FCF and MF. Experiments are performed in public and private clouds, where portability, speed, accuracy and reliability from desktop to clouds are successfully demonstrated. Despite X.509 security can be demonstrated, the preferred security is single sign-on and will be dealt with later

The financial clouds review

This paper demonstrates financial enterprise portability, which involves moving entire application services from desktops to clouds and between different clouds, and is transparent to users who can work as if on their familiar systems. To demonstrate portability, reviews for several financial models are studied, where Monte Carlo Methods (MCM) and Black Scholes Model (BSM) are chosen. A special technique in MCM, Least Square Methods, is used to reduce errors while performing accurate calculations. The coding algorithm for MCM written in MATLAB is explained. Simulations for MCM are performed on different types of Clouds. Benchmark and experimental results are presented for discussion. 3D Black Scholes are used to explain the impacts and added values for risk analysis, and three different scenarios with 3D risk analysis are explained. We also discuss implications for banking and ways to track risks in order to improve accuracy. We have used a conceptual Cloud platform to explain our contributions in Financial Software as a Service (FSaaS) and the IBM Fined Grained Security Framework. Our objective is to demonstrate portability, speed, accuracy and reliability of applications in the clouds, while demonstrating portability for FSaaS and the Cloud Computing Business Framework (CCBF), which is proposed to deal with cloud portability

A look at cloud architecture interoperability through standards

Enabling cloud infrastructures to evolve into a transparent platform while preserving integrity raises interoperability issues. How components are connected needs to be addressed. Interoperability requires standard data models and communication encoding technologies compatible with the existing Internet infrastructure. To reduce vendor lock-in situations, cloud computing must implement universal strategies regarding standards, interoperability and portability. Open standards are of critical importance and need to be embedded into interoperability solutions. Interoperability is determined at the data level as well as the service level. Corresponding modelling standards and integration solutions shall be analysed