Cells: A Self-Hosting Virtual Infrastructure Service

Towards realistic benchmarks for virtual infrastructure resource allocators

Proceedings of the Asia-Pacific Workshop on Systems - APSYS '12 ◽

10.1145/2349896.2349901 ◽

2012 ◽

Author(s):

Qin Yin ◽

Timothy Roscoe

Keyword(s):

Virtual Infrastructure

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A Comparative Study of Virtual Infrastructure Management Solutions for UAV Networks

Proceedings of the 7th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications ◽

10.1145/3469259.3470486 ◽

2021 ◽

Author(s):

Luis F. Gonzalez ◽

Ivan Vidal ◽

Francisco Valera ◽

Victor Sanchez-Aguero

Keyword(s):

Comparative Study ◽

Infrastructure Management ◽

Virtual Infrastructure

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Road to Strengthen of Virtual Infrastructure and Security of Remote Laboratories on Trnava University in Trnava

International Journal of Online and Biomedical Engineering (iJOE) ◽

10.3991/ijoe.v16i12.16701 ◽

2020 ◽

Vol 16 (12) ◽

pp. 33

Author(s):

Pavel Beňo ◽

František Schauer ◽

Sandra Šprinková ◽

Miroslav Šimko ◽

Tomáš Komenda

Keyword(s):

Cloud Computing ◽

System Function ◽

Computing Platform ◽

Virtual Infrastructure ◽

Remote Laboratories ◽

Remote Labs ◽

Cloud Computing Platform ◽

Practice Knowledge ◽

Virtual Platform ◽

Centralized System

Many organizations, both large and small, are investigating the potential of storage architectures for their companies. Few years ago, we built our own virtualized cloud for REMLABNET and we still are taking benefits of this decision. This item handels with using Cloud computing platform for providing Remote laboratories. This work shows, how it is possible to save money if we use centralized system for more consumers. Every consumer can use access to centralized portal in the Cloud computing from Consortium REMLABNET. Every item is focused on enviroments of universities, where this cloud is existing and this is what we want to use for remote labs. This is item from practice knowledge and experiences about system function and managing virtual platform and next construction this proposal.

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Private Virtual Infrastructure: A Model for Trustworthy Utility Cloud Computing

10.21236/ada545050 ◽

2010 ◽

Cited By ~ 5

Author(s):

F. J. Krautheim ◽

Dhananjay S. Phatak ◽

Alan T. Sherman

Keyword(s):

Cloud Computing ◽

Virtual Infrastructure

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Dynamic virtual infrastructure benchmarking: DynaVIBe

Water Science & Technology Water Supply ◽

10.2166/ws.2010.188 ◽

2010 ◽

Vol 10 (4) ◽

pp. 600-609 ◽

Cited By ~ 9

Author(s):

R. Sitzenfrei ◽

S. Fach ◽

M. Kleidorfer ◽

C. Urich ◽

W. Rauch

Keyword(s):

Case Studies ◽

Distribution Systems ◽

Water Distribution ◽

New Technologies ◽

Study Data ◽

Data Availability ◽

Urban Structure ◽

Real World Data ◽

Virtual Infrastructure

In environmental engineering, identification of problems and their solutions as well as the identification of the relevant processes involved is often done by means of case study analyses. By researching the operation of urban drainage and water distribution systems, this methodology is suited to evaluate new technologies, strategies or measures with regard to their impact on the overall processes. However, data availability is often limited and data collection and the development of new models are both costly and time consuming. Hence, new technologies, strategies or measures can only be tested on a limited number of case studies. In several environmental disciplines a few virtual case studies have been manually developed to provide data for research tasks and these are repeatedly used in different research projects. Efforts have also been invested in tackling limited data availability with the algorithmic generation of virtual case studies having constant or varying boundary conditions. The data provided by such tools is nevertheless only available for a certain instance in time. With DynaVIBe (Dynamic Virtual Infrastructure Benchmarking), numerous virtual case studies are algorithmically generated with a temporal development of the urban structure (population and land use model) and infrastructure. This provides a methodology that allows for the analysis of future scenarios on a spatio-temporal city scale. By linking a population model with DynaVIBe's infrastructure models, socio-economics impacts on infrastructure and system coherences can be investigated. The problematic of limited case study data is solved by the algorithmic generation of an unlimited number of virtual case studies, which are dynamic over time. Additionally, this methodology can also be applied on real world data for probabilistic future scenario analysis.

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