5,763 research outputs found
A Multiview Visualisation Architecture for Open Distributed Systems
Program visualisation is an attractive way for understanding collaboration structures of complex distributed systems. By using the concepts of the open distributed processing-reference model (ODP-RM) as entities for visualisation, a multiview visualisation architecture is presented, which provides a large degree of flexibility in visualising the actions of an ODP system. The architecture has been implemented for visualising the CORBA system resulting in a visualisation tool called OBVlouS
Realtime monitoring for the next generation of radiotelescopes
The forthcoming generation of radiotelescopes pose new and substantial
challenges in terms of system monitoring. Information regarding environmental
conditions, signal connectivity and level, processor utilisation, memory use,
network traffic and even power consumption needs to be collected, displayed in
realtime, and preserved in a permanent database. In this paper, we put forward
the Ganglia monitoring system as a scalable, robust and efficient architecture
that appears well-suited to the data collection aspect of radiotelescope
monitoring, and we discuss approaches to the visual display of the streaming
metric data produced by Ganglia. In particular, we present initial work in the
use of 3-dimensional (3-d) multiplayer game technology for instantaneous status
monitoring and enquiry, and we describe the extensions to this work required
for radiotelescope monitoring.Comment: Submitted to Workshop on Applications of Radio Science (WARS 2008),
accepte
Towards securing SCADA systems against process-related threats
We propose a tool-assisted approach to address process-related threats on SCADA systems. Process-related threats have not been addressed before in a systematic manner. Our approach consists of two steps: threat analysis and threat\ud
mitigation. For the threat analysis, we combine two methodologies (PHEA and HAZOP) to systematically identify process-related threats. The threat mitigation is supported by our tool, MELISSA, that helps to detect incidents (attacks or user mistakes). MELISSA uses SCADA system logs and visualization techniques to highlight potential incidents. A preliminary case study suggests that our approach is effective in detecting anomalous events that might alter the regular SCADA process work-flow
Visualisation and Analysis Challenges for WALLABY
Visualisation and analysis of terabyte-scale datacubes, as will be produced
with the Australian Square Kilometre Array Pathfinder (ASKAP), will pose
challenges for existing astronomy software and the work practices of
astronomers. Focusing on the proposed outcomes of WALLABY (Widefield ASKAP
L-Band Legacy All-Sky Blind Survey), and using lessons learnt from HIPASS (HI
Parkes All Sky Survey), we identify issues that astronomers will face with
WALLABY data cubes. We comment on potential research directions and possible
solutions to these challenges.Comment: 6 pages, accepted for publication in Proceedings of the Sixth IEEE
International Conference on e-Science Workshops (Brisbane, Australia,
December 2010
Analyzing and Modeling the Performance of the HemeLB Lattice-Boltzmann Simulation Environment
We investigate the performance of the HemeLB lattice-Boltzmann simulator for
cerebrovascular blood flow, aimed at providing timely and clinically relevant
assistance to neurosurgeons. HemeLB is optimised for sparse geometries,
supports interactive use, and scales well to 32,768 cores for problems with ~81
million lattice sites. We obtain a maximum performance of 29.5 billion site
updates per second, with only an 11% slowdown for highly sparse problems (5%
fluid fraction). We present steering and visualisation performance measurements
and provide a model which allows users to predict the performance, thereby
determining how to run simulations with maximum accuracy within time
constraints.Comment: Accepted by the Journal of Computational Science. 33 pages, 16
figures, 7 table
The State of the Art in Multilayer Network Visualization
Modelling relationships between entities in real-world systems with a simple
graph is a standard approach. However, reality is better embraced as several
interdependent subsystems (or layers). Recently the concept of a multilayer
network model has emerged from the field of complex systems. This model can be
applied to a wide range of real-world datasets. Examples of multilayer networks
can be found in the domains of life sciences, sociology, digital humanities and
more. Within the domain of graph visualization there are many systems which
visualize datasets having many characteristics of multilayer graphs. This
report provides a state of the art and a structured analysis of contemporary
multilayer network visualization, not only for researchers in visualization,
but also for those who aim to visualize multilayer networks in the domain of
complex systems, as well as those developing systems across application
domains. We have explored the visualization literature to survey visualization
techniques suitable for multilayer graph visualization, as well as tools,
tasks, and analytic techniques from within application domains. This report
also identifies the outstanding challenges for multilayer graph visualization
and suggests future research directions for addressing them
The State of the Art in Multilayer Network Visualization
Modelling relationship between entities in real-world systems with a simple graph is a standard approach. However, realityis better embraced as several interdependent subsystems (or layers). Recently, the concept of a multilayer network model hasemerged from the field of complex systems. This model can be applied to a wide range of real-world data sets. Examples ofmultilayer networks can be found in the domains of life sciences, sociology, digital humanities and more. Within the domainof graph visualization, there are many systems which visualize data sets having many characteristics of multilayer graphs.This report provides a state of the art and a structured analysis of contemporary multilayer network visualization, not only forresearchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as wellas those developing systems across application domains. We have explored the visualization literature to survey visualizationtechniques suitable for multilayer graph visualization, as well as tools, tasks and analytic techniques from within applicationdomains. This report also identifies the outstanding challenges for multilayer graph visualization and suggests future researchdirections for addressing them
Modelling fungal colonies and communities:challenges and opportunities
This contribution, based on a Special Interest Group session held during IMC9, focuses on physiological based models of filamentous fungal colony growth and interactions. Fungi are known to be an important component of ecosystems, in terms of colony dynamics and interactions within and between trophic levels. We outline some of the essential components necessary to develop a fungal ecology: a mechanistic model of fungal colony growth and interactions, where observed behaviour can be linked to underlying function; a model of how fungi can cooperate at larger scales; and novel techniques for both exploring quantitatively the scales at which fungi operate; and addressing the computational challenges arising from this highly detailed quantification. We also propose a novel application area for fungi which may provide alternate routes for supporting scientific study of colony behaviour. This synthesis offers new potential to explore fungal community dynamics and the impact on ecosystem functioning
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