Deploying OpenStack: Virtual Infrastructure or Dedicated Hardware

2014 ◽  
Author(s):  
Robayet Nasim ◽  
Andreas J. Kassler
Keyword(s):  
Virtual Infrastructure ◽  
Dedicated Hardware

Integrated Heterogeneous Micro-Nano Systems via Modular Designing and Flexible Assembly

2011 ◽  
Author(s):  
Aditya Das ◽  
Rakesh Murthy
Keyword(s):  
Uncertainty Propagation ◽  
Systems Development ◽  
Surface Machining ◽  
Flexible Assembly ◽  
Nano Scale ◽  
Wide Range ◽  
Standard Design ◽  
Novel Algorithms ◽  
And Control ◽  
Dedicated Hardware

One of the major challenges in commercializable micro-nano systems development is the high cost and turnaround that are incurred through multiple product-optimization iterations and expensive fabrication processes for specific systems. Development of complex and heterogeneous micro-nano systems, that are only possible through assembly and not by conventional surface machining approaches, are further impeded by lack of standard design rules and off-the-shelf robotic manipulation systems. Dedicated hardware and system specific component designs, although possible, are not commercially viable for addressing the wide range of opportunities that exists in the prevailing micro-nano domain. In this paper, we present an alternative and holistic top-down approach for micro-nano manufacturing using modular part designs and flexible assembly systems. We incorporate, seamlessly, multiple novel algorithms related to microrobotics and scaling of physics, obtained both analytically as well as experimentally; in order to predict, track and control the uncertainty propagation in a typical manufacturing process, in micro-nano scale, throughout production steps including design, machining, setup, assembly, testing etc. We demonstrate, through multiple examples, the implementation of the proposed framework in micro-nano scale manufacturing.

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

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.

scholarly journals Private Virtual Infrastructure: A Model for Trustworthy Utility Cloud Computing

2010 ◽  
Author(s):  
F. J. Krautheim ◽  
Dhananjay S. Phatak ◽  
Alan T. Sherman
Keyword(s):  
Cloud Computing ◽  
Virtual Infrastructure

scholarly journals Optimization of Advanced Encryption Standard (AES) Using Vivado High Level Synthesis (HLS)

10.29007/x3tx ◽  
2019 ◽  
Author(s):  
Luka Daoud ◽  
Fady Hussein ◽  
Nader Rafla
Keyword(s):  
High Level Synthesis ◽  
Advanced Encryption Standard ◽  
Data Confidentiality ◽  
Maximum Throughput ◽  
Loop Unrolling ◽  
Aes Algorithm ◽  
Hardware Implementations ◽  
High Level ◽  
Dedicated Hardware ◽  
Vivado Hls

Advanced Encryption Standard (AES) represents a fundamental building module of many network security protocols to ensure data confidentiality in various applications ranging from data servers to low-power hardware embedded systems. In order to optimize such hardware implementations, High-Level Synthesis (HLS) provides flexibility in designing and rapid optimization of dedicated hardware to meet the design constraints. In this paper, we present the implementation of AES encryption processor on FPGA using Xilinx Vivado HLS. The AES architecture was analyzed and designed by loop unrolling, and inner-round and outer-round pipelining techniques to achieve a maximum throughput of the AES algorithm up to 1290 Mbps (Mega bit per second) with very significant low resources of 3.24% slices of the FPGA, achieving 3 Mbps per slice area.

Dynamic virtual infrastructure benchmarking: DynaVIBe

2010 ◽  
Vol 10 (4) ◽  
pp. 600-609 ◽  
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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