6 research outputs found
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
Virtual Laboratories in Cloud Infrastructure of Educational Institutions
Modern educational institutions widely used virtual laboratories and cloud
technologies. In practice must deal with security, processing speed and other
tasks. The paper describes the experience of the construction of an
experimental stand cloud computing and network management. Models and control
principles set forth herein.Comment: 3 pages, Published in: 2014 2nd International Conference on Emission
Electronics (ICEE), Saint-Petersburg, Russi
Laboratory Test Bench for Research Network and Cloud Computing
At present moment, there is a great interest in development of information
systems operating in cloud infrastructures. Generally, many of tasks remain
unresolved such as tasks of optimization of large databases in a hybrid cloud
infrastructure, quality of service (QoS) at different levels of cloud services,
dynamic control of distribution of cloud resources in application systems and
many others. Research and development of new solutions can be limited in case
of using emulators or international commercial cloud services, due to the
closed architecture and limited opportunities for experimentation. Article
provides answers to questions on the establishment of a pilot cloud practically
"at home" with the ability to adjust the width of the emulation channel and
delays in data transmission. It also describes architecture and configuration
of the experimental setup. The proposed modular structure can be expanded by
available computing power.Comment: 5 page
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