4 research outputs found
Performance analysis of multi-institutional data sharing in the Clouds4Coordination system
Cloud computing is used extensively in Architecture/ Engineering/ Construction projects for storing data and running simulations on building models (e.g. energy efficiency/environmental impact). With the emergence of multi-Clouds it has become possible to link such systems and create a distributed cloud environment. A multi-Cloud environment enables each organisation involved in a collaborative project to maintain its own computational infrastructure/ system (with the associated data), and not have to migrate to a single cloud environment. Such infrastructure becomes efficacious when multiple individuals and organisations work collaboratively, enabling each individual/ organisation to select a computational infrastructure that most closely matches its requirements. We describe the âClouds-for-Coordinationâ system, and provide a use case to demonstrate how such a system can be used in practice. A performance analysis is carried out to demonstrate how effective such a multi-Cloud system can be, reporting âaggregated-time-to-completeâ metric over a number of different scenarios
QoS-aware trust establishment for cloud federation
Cloud federation enables inter-layer resource exchanges among multiple, heterogeneous cloud service providers. This article proposes a Quality of Service (QoS) aware trust model for effective resource allocation in response to the various user requests within the Clouds4Coordination (C4C) federation system. This QoS mainly comprises of nine parameters combined into three categories: (i) node profile, (ii) reliability, and (iii) competence. Numerical values for these parameters are computed every âtâ seconds for each cloud provider. All values measured over an interval Ît are further processed by the proposed model to evaluate the utility associated with a provider (referred to as a discipline in the presented case study). The decision about interacting with a discipline in a collaborative project is based on this utility value. The systems architecture, evaluation methodology, proposed model, and experimental evaluation on a practical test bed is outlined. The proposed QoS-aware trust evaluation mechanism allows selection of the most useful (based on a utility value) providers. The proposed approach can be used to support federation of cloud services across a number of different application domains
Integrating BIM and Blockchain across construction lifecycle and supply chains
The Construction industry has a complex structure with multiple parties involved, which often leads to âadversarial relationshipsâ, ârisk avoidanceâ, and a âlack of trustâ among the different actors. This culture is further compounded by a âlinear workflowâ that often results in low efficiency, delays, rework and unnecessary waste. Blockchain technology can help to mitigate these issues by creating a decentralised and transparent system, where all the actors can have access to a shared database, it allows tracking and monitors the different stages of the project, and even automate some processes increasing efficiency and reducing delays and rework.
This study highlights the advantages of Blockchain technology, particularly how it can provide a single source of truth for project data while allowing multiple parties to access and share data in a secure and transparent way, improving the workflow of BIM projects and decreasing the likelihood of errors, mistakes, or fraudulent activities. The paper explores the integration of BIM and Blockchain across life cycle and supply chains based on the RIBA plan of work, with the objective to streamline collaboration while improving process efficiency and resource traceability in projects. The study proposes a roadmap performing a detailed literature survey for Blockchain adoption in the construction industry, and validated on a real-world Bridge project. Furthermore, this study is innovative since it examines the integration of BIM and Blockchain throughout the entire project lifecycle by simulating the smart contract implementation based on the RIBA plan of work, thus providing an in-depth examination of the potential benefits of this integration
The role of semantics in enhancing user experience in building and city web applications
This thesis embarks on an exploratory journey through Building Information Modelling (BIM)
and City Information Modelling (CIM) within web applications, aiming to significantly uplift
citizen engagement and satisfaction. At its core, the thesis proposes an innovative framework that
uses semantics to intricately weave contextual information into user experience (UX), fostering
innovative applications tailored to the built environment. The intellectual pursuit is meticulously
structured around three pivotal research questions, each unfolding a distinct but interconnected
inquiry stage.
The first research question delves into Enhancing Learning UX with Semantics. It seeks to
uncover how semantics can amplify the learning experience within existing web applications. This
stage is marked by the development of a semantic web-based mining environment meticulously
designed to unravel and map the intricate web of roles and skills pivotal in BIM. The endeavour
goes beyond mere identification; it strategically establishes correlations, paving the way for
learning pathways tailored and resonant with the evolving dynamics of the built environment.
Progressing to the second stage, the thesis casts its investigative net into Context Derivation
in Smart Cities. This stage is not just about exploring methods but pioneering ways to extract
context from the rich tapestry of static and dynamic artefacts embedded within a Digital
Twin framework. The goal? To elevate the UX in smart city applications to unprecedented
heights. This stage is characterised by the strategic leveraging of BIM semantics, with the aim
of transforming the user experience of a diverse cohort of stakeholders, ranging from architects
and urban planners to engineers. It is an endeavour that transcends the conventional, blending
advanced methodologies to enrich interactions within the web of smart city ecosystems.
The journey culminates with the third research question, which focusses on Semantic Scaling
and Social Media Analysis. This stage is visionary in its approach, envisioning the scaling of
semantics at the city level and positioning citizens as active sensors in an ever-evolving urban
landscape. The ambition is grand â to develop a taxonomy model rooted in a semantic-based
risk model. However, the thesis does not stop there; it ventures into the vibrant world of social
media data streams. By applying sophisticated natural language processing (NLP) techniques,
research meticulously sifts through digital chatter, aiming to uncover hidden narratives that
weave together environmental factors, risk events, and the pulse of citizen satisfaction.
The findings of this thesis are not only insightful; they are transformative. The research
demonstrates the practical applicability of semantics across three core dimensions. In socio organisational aspects, the thesis sheds light on the dynamic nature of construction skills,
underscoring the imperative for adaptive training methodologies that keep pace with the rapid
evolution of BIM roles. The exploration does not stop at the micro level; it extends its gaze to
the macro-grain of the built environment. The thesis showcases the profound impact of advanced
web technologies, such as the VueJS front-end framework and innovative web builders. When
these technological marvels are harmoniously integrated with core UX principles, they unravel
complex phenomena, weaving a tapestry of enhanced UX within the pulsating heart of smart
cities. The thesis also pioneers social media analytics, presenting it as a formidable information
source that can significantly shape smart city decision making. The insights gleaned are not just data points; they are statistically significant revelations that empower stakeholders, offering
them the clarity and foresight to make decisions that are not just informed but visionary.
As such, this thesis is not just a scholarly endeavour, but a beacon that illuminates the path
for future explorations and developments. It is a testament to the synergistic fusion of information
science techniques and smart city communities, significantly contributing to the rapidly evolving
landscape of semantic integration and UX enhancement within the built environment. The
journey embarked on in this thesis is not just about answering questions; it is about charting new
territories, opening new horizons, and setting the stage for a future where the built environment
is not just smart, but sentient, responsive, and perpetually in tune with the needs and aspirations of its citizens