Search Results for author:
Found 11 papers, 3 papers with code
Dividable Configuration Performance Learning
Machine/deep learning models have been widely adopted for predicting the configuration performance of software systems.
Large Language Models for Explainable Decisions in Dynamic Digital Twins
Dynamic data-driven Digital Twins (DDTs) can enable informed decision-making and provide an optimisation platform for the underlying system.
Dynamic Data-Driven Digital Twins for Blockchain Systems
Our Digital Twin leverages DDDAS feedback loop, which is responsible for getting the data from the system to the digital twin, conducting optimisation, and updating the physical system.
A Digital Twin Approach for Adaptive Compliance in Cyber-Physical Systems: Case of Smart Warehouse Logistics
Engineering regulatory compliance in complex Cyber-Physical Systems (CPS), such as smart warehouse logistics, is challenging due to the open and dynamic nature of these systems, scales, and unpredictable modes of human-robot interactions that can be best learnt at runtime.
Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data.
Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins
DT can leverage fundamentals of Dynamic Data-Driven Applications Systems (DDDAS) bidirectional symbiotic sensing feedback loops for its continuous updates.
Digital Twins for Dynamic Management of Blockchain Systems
Given that Blockchains are complex, dynamic dynamic systems, a dynamic approach to their management and reconfiguration at runtime is deemed necessary to reflect the changes in the state of the infrastructure and application.
Knowledge Equivalence in Digital Twins of Intelligent Systems
Maintaining such an equivalent model is challenging, especially when the physical systems being modelled are intelligent and autonomous.
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing
The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous demand for hosting application services on the cloud.
Selecting Miners within Blockchain-based Systems Using Evolutionary Algorithms for Energy Optimisation
In this paper, we represent the problem of selecting miners within a blockchain-based system as a subset selection problem.
Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
To promote engineering self-aware and self-adaptive software systems in a reusable manner, architectural patterns and the related methodology provide an unified solution to handle the recurring problems in the engineering process.
