A5088758379- Distributed and Parallel Computing Systems
- Cloud Computing and Resource Management
- Parallel Computing and Optimization Techniques
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Peer-to-Peer Network Technologies
- Research Data Management Practices
- Caching and Content Delivery
- High-pressure geophysics and materials
- Cloud Data Security Solutions
- Privacy-Preserving Technologies in Data
- Nuclear Physics and Applications
- Distributed systems and fault tolerance
- Semantic Web and Ontologies
- Recommender Systems and Techniques
- Data Stream Mining Techniques
- Modular Robots and Swarm Intelligence
- Mobile Crowdsensing and Crowdsourcing
- Graph Theory and Algorithms
- Interconnection Networks and Systems
- Quantum, superfluid, helium dynamics
- Data Quality and Management
- Pharmaceutical Quality and Counterfeiting
National College of Ireland
2015-2024
Robert Gordon University
2009-2013
University of Edinburgh
2005-2009
University of Oxford
2009
University of Manchester
2009
Universidad Autónoma Metropolitana
1995-2002
Abstract Structured parallel programs ought to be conceived as two separate and complementary entities: computation, which expresses the calculations in a procedural manner, coordination, abstracts interaction communication. By abstracting commonly used patterns of communication, interaction, algorithmic skeletons enable programmers code algorithms without specifying platform‐dependent primitives. This article presents literature review on skeleton frameworks (AS K F), software development...
A disruptive technology often used in finance, Internet of Things (IoT) and healthcare, blockchain can reach consensus within a decentralised network-potentially composed large amounts unreliable nodes-and to permanently irreversibly store data tamper-proof manner. In this paper, we present reputation system for Intelligent Transportation Systems (ITS). It considers the users interested traffic information as main actors architecture. They securely share their which are collectively...
Production lines in pharmaceutical manufacturing generate numerous heterogeneous data sets from various embedded systems which control the multiple processes of medicine production. Such should arguably ensure end-to-end traceability and integrity order to release a batch, is uniquely identified tracked by its batch number/code. Consequently, auditable computerised are crucial on production lines, since industry becoming increasingly regulated for product quality patient health purposes....
We explore some recurring socio-technical problems encountered in the development of infrastructure for sharing and re-using data across sites social scales eHealth research. link these to contradictions between underlying assumptions about as a commodity whose reuse is not compromised when it extracted from context which has been captured, reality entangled with, constituted through, local practice. To illustrate problems, we draw on experiences number HealthGrid projects developing...
Industrial Internet of Things (IIoT) automation should be based on a framework that guarantees flexible and energy efficient monitoring control, without the need for frequent human intervention. The ability to analyse process machine faults in real time is vital, however it poses many technical difficulties challenges, mainly industrial application environments. In our paper, we propose novel, efficient, IoT Cloud decentralised condition (MCM) fault prediction, where computational demanding...
Abstract One of the most important lifestyle risk factors for many chronic conditions in older age, low physical activity has shown to have significant impact on sustainability national welfare developed countries. Technology-based assisted living solutions can effectively be used enable adults optimise their health-related quality life, as well promote an active and healthy longevity. This paper describes vINCI —an interdisciplinary research project actively support via state-of-the-art...
Multi-service networks aim to efficiently supply distinct goods within the same infrastructure by relying on a (typically centralised) authority manage and coordinate their differential delivery at specific prices. In turn, final customers constantly seek lower costs whilst maximising quality reliability. This paper proposes decentralised business model for multi-service using Ethereum blockchain features – gas, transactions, smart contracts execute multiple services different By employing...
The Hadoop framework has been developed to effectively process data-intensive MapReduce applications. users specify the application computation logic in terms of a map and reduce function, which are often termed distributed file system is used store data on cluster nodes called Data nodes, whereas Name node control point for all nodes. While its resilience increased, current data-distribution methodologies not necessarily efficient heterogeneous environments such as public clouds. This work...
Abstract Purpose This paper analyses the feasibility of tracking data originality for pharmaceutical manufacturing in a tamper-proof manner using geographically distributed system. The main research question is whether it possible to ensure traceability drug through use smart contracts and private blockchain network. Methods work employs Ethereum network with proof-of-authority consensus algorithm allow participating nodes commit medicament as transactions blocks. We assess “Original”...
Abstract This paper presents a standardised dataset versioning framework for improved reusability, recognition and data version tracking, facilitating comparisons informed decision-making usability workflow integration. The adopts software engineering-like nomenclature (“major.minor.patch”) incorporates schema principles to promote reproducibility collaboration. To quantify changes in statistical properties over time, the concept of drift metrics ( d ) is introduced. Three P , E PCA E,AE...
Algorithmic skeletons (`skeletons') abstract commonly-used patterns of parallel computation, communication, and interaction. They provide top-down design composition control inheritance throughout the whole structure. The efficient execution skeletal applications on a heterogeneous environment has long been interest to research community. Arguably, executing coarse-grained resource-intensive workloads ought achieve higher resource utilisation and, ultimately, better job makespan systems due...
Cloud computing has enabled the Database-as-a-Service (DBaaS) model to manage large volumes of user-generated data using NoSQL repositories. There are several implementations such as document, columnar, and key-value which ensure high availability, fault tolerance scalability serve distinct client requirements. Nonetheless, different models may also introduce unnecessary heterogeneity in DBaaS, further restricts user migrate application services according business or technology changes. In...
We present in this paper an adaptive security model for Multi-agent systems. A meta-model has been developed which the traditional role concept extended. The new incorporates need of both management as used by role-based access control (RBAC) and agent functional behaviour agent-oriented Software Engineering (AOSE). Our approach avoids weaknesses RBAC approaches provides a practically usable multi-agent systems (MAS). unified interaction framework put forward that not only requirements but...
This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a distributed network local databases or data marts. HealthAgents will not only develop new pattern recognition methods for and analysis in vivo MRS ex vivo/in vitro HRMAS DNA data, but also define method assess quality usability candidate database containing set cases, based on compatibility score
Performance evaluation of MapReduce using full virtualisation on a departmental cloud This work analyses the performance Hadoop, an implementation programming model for distributed parallel computing, executing environment comprised 1+16 nodes running VMWare workstation software. A set experiments standard Hadoop benchmarks has been designed in order to determine whether or not significant reductions execution time computations are experienced when this platform cloud. Our findings indicate...
Task scheduling in large-scale distributed High Performance Computing (HPC) systems environments remains challenging research and engineering problem. There is a need of development novel advanced techniques order to optimise the resource utilisation. In this work, we develop Agent Supported Non-Deterministic Meta Scheduler for cloud environments. This model simple combination intelligent agent-based monitoring system security-aware scheduler. our model, scheduling, reporting are provided...