Desktop Virtualization: Applications And Considerations

As educational technology continues to rapidly become a vital part of a school district’s infrastructure, desktop virtualization promises to provide cost-effective and education-enhancing solutions to school-based computer technology problems in school systems locally and abroad. This article outlines the history of and basic concepts behind desktop virtualization and discusses obstacles to implementation and benefits that result from its use in educational settings. A large school district in Maryland was used as an entry point to illustrate the potential gains of utilizing desktop virtualization technology. Through use of Bolman and Deal’s (2008) approach to reframing organizations for change, this article aims to explain what implementation of virtualization technology would require in an applied setting and clarify how all parties in the school-based educational arena will benefit from this technology over time. It was concluded that those entrusted with executive decision-making power in America’s school systems would be wise to consider employing virtualization technology in their classrooms

Optimal Control of Applications for Hybrid Cloud Services

Development of cloud computing enables to move Big Data in the hybrid cloud services. This requires research of all processing systems and data structures for provide QoS. Due to the fact that there are many bottlenecks requires monitoring and control system when performing a query. The models and optimization criteria for the design of systems in a hybrid cloud infrastructures are created. In this article suggested approaches and the results of this build.Comment: 4 pages, Proc. conf. (not published). arXiv admin note: text overlap with arXiv:1402.146

Experimental Study of the Cloud Architecture Selection for Effective Big Data Processing

Big data dictate their requirements to the hardware and software. Simple migration to the cloud data processing, while solving the problem of increasing computational capabilities, however creates some issues: the need to ensure the safety, the need to control the quality during data transmission, the need to optimize requests. Computational cloud does not simply provide scalable resources but also requires network infrastructure, unknown routes and the number of user requests. In addition, during functioning situation can occur, in which you need to change the architecture of the application - part of the data needs to be placed in a private cloud, part in a public cloud, part stays on the client