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Processing FHIR in modern Data Lakehouse
2024 IEEE 20th International Conference on e-Science (e-Science)
Year: 2024 | Conference Paper |
Healthcare data exchange standard, FHIR is becoming the widely adopted standard for data exchange and storage of health data. However, there is still some learning curve involved when it comes to using the data for analytical purpose. In our research we have devised a generic approach to ingest FHIR data into tabular format that is suited for analytical purpose. Our approach reduces the learning b...Show More
Protocol-Level Kafka Controls in a Customizable Proxy
2024 IEEE 20th International Conference on e-Science (e-Science)
Year: 2024 | Conference Paper |
This research introduces a customizable proxy to enhance the security and governance of Apache Kafka. The proxy uses TransformNode, DecisionNode, and ObserverNode controls to manage data flows without modifying existing client applications. Initial tests show negligible latency impact, validating its effectiveness in improving Kafka’s security and governance capabilities while maintaining system e...Show More
Operating ZKPs on Blockchain: A Performance Analysis Based on Hyperledger Fabric
2024 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS)
Year: 2024 | Conference Paper |
Preserving privacy in blockchain-based systems is crucial for ensuring anonymity and confidentiality during transactions. While cryptographic solutions can address on-chain privacy concerns, their implementation on blockchains may introduce performance overhead, which remains unclear to researchers and practitioners. This paper investigates the performance impact of integrating zero-knowledge proo...Show More
Exploring the Enforcement of Private, Dynamic Policies on Medical Workflow Execution
Christopher A. Esterhuyse;Tim Müller;L. Thomas Van Binsbergen;Adam S. Z. Belloum
2022 IEEE 18th International Conference on e-Science (e-Science)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
We report on the ideas and experiences of adapting Brane, a workflow execution framework, for use cases involving medical data exchange and processing. These use cases impose new requirements on the system to enforce policies encoding safety properties, ranging from access control to legal regulations pertaining to data privacy. Our approach emphasizes users' control over the extent to which they ...Show More
Utilisation Profiles of Bridging Function Chain for Healthcare Use Cases
2022 IEEE 18th International Conference on e-Science (e-Science)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
On the road towards personalised medicine, one of the main challenges is to enforce security and network low-level policies to secure data-sharing. The proposed dynamic framework defines the topology of the service chains to enforce network and security policies by instantiating Virtual Network Functions (VNF's) on the fly via light-weight and easily-deployable containers. In this paper, we profil...Show More
On the impact of non-IID data on the performance and fairness of differentially private federated learning
Saba Amiri;Adam Belloum;Eric Nalisnick;Sander Klous;Leon Gommans
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
Federated Learning enables distributed data holders to train a shared machine learning model on their collective data. It provides some measure of privacy by not requiring the data be pooled and centralized but still has been shown to be vulnerable to adversarial attacks. Differential Privacy provides rigorous guarantees and sufficient protection against adversarial attacks and has been widely emp...Show More
Brane: A Framework for Programmable Orchestration of Multi-Site Applications
2021 IEEE 17th International Conference on eScience (eScience)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Regardless of the context and rationale, running distributed applications on geographically dispersed IT resources often comes with various technical and organizational challenges. If not addressed appropriately, these challenges may impede development, and in turn, scientific and business innovation. We have developed the Brane framework to support implementers in addressing these challenges. Bra...Show More
EPI Framework: Approach for Traffic Redirection Through Containerised Network Functions
Jamila Alsayed Kassem;Onno Valkering;Adam Belloum;Paola Grosso
2021 IEEE 17th International Conference on eScience (eScience)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Utilising programmable infrastructures is a promising approach to support secure data-sharing across healthcare domains of different capabilities in terms of network and security. The EPI1 (Enabling Personalised Interventions) framework automates the setup of the underlying infrastructure while considering different requirements communicated by the EPI components, such as logic area generator and ...Show More
Policy Enforcement for Secure and Trustworthy Data Sharing in Multi-domain Infrastructures
Xin Zhou;Reginald Cushing;Ralph Koning;Adam Belloum;Paola Grosso;Sander Klous;Tom van Engers;Cees de Laat
2020 IEEE 14th International Conference on Big Data Science and Engineering (BigDataSE)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
The push for data sharing and data processing across organisational boundaries creates challenges at many levels of the software stack. Data sharing and processing rely on the participating parties agreeing on the permitted operations and expressing them into actionable contracts and policies. Converting these contracts and policies into an operational infrastructure is still a matter of research ...Show More
Reference Exascale Architecture
Martin Bobák;Ladislav Hluchy;Adam S. Z. Belloum;Reginald Cushing;Jan Meizner;Piotr Nowakowski;Viet Tran;Ondrej Habala;Jason Maassen;Balázs Somosköi;Mara Graziani;Matti Heikkurinen;Maximilian Höb;Jan Schmidt
2019 15th International Conference on eScience (eScience)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
While political commitments for building exascale systems have been made, turning these systems into platforms for a wide range of exascale applications faces several technical, organisational and skills-related challenges. The key technical challenges are related to the availability of data. While the first exascale machines are likely to be built within a single site, the input data is in many c...Show More
Unlocking the LOFAR LTA
Hanno Spreeuw;Souley Madougou;Ronald Van Haren;Berend Weel;Adam Belloum;Jason Maassen
2019 15th International Conference on eScience (eScience)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
In this paper we discuss our efforts in "unlocking" the Long Term Archive (LTA) of the LOFAR radio telescope. This is a large (> 43 PB) archive that expands with about 7 PB per year by the ingestion of new observations. It consists of coarsely calibrated "visibilities", i.e. correlations between signals from LOFAR stations. Currently, only a small fraction of the LOFAR LTA consists of sky maps, wh...Show More
A Survey of Scalable Deep Learning Frameworks
2019 15th International Conference on eScience (eScience)
Year: 2019 | Conference Paper |
Cited by: Papers (8)
Machine learning models recently have seen a large increase in usage across different disciplines. Their ability to learn complex concepts from the data and perform sophisticated tasks combined with their ability to leverage vast computational infrastructures available today have made them a very attractive choice for many challenges in academia and industry. In this context, deep Learning as a su...Show More
Towards a New Paradigm for Programming Scientific Workflows
2019 15th International Conference on eScience (eScience)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Applications and infrastructures are increasingly becoming more complex. Infrastructures have several layers of virtualisation, programmability and management while scientific applications are diverse in their computing model archetypes. Mapping these two opposing ends of the stack is a non-trivial task. Here we propose a new programming paradigm and architecture that takes into account the differ...Show More
Privacy-Preserving Record Linkage with Spark
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
Year: 2019 | Conference Paper |
Privacy considerations obligate careful and secure processing of personal data. This is especially true when personal data is linked against databases from other organizations. During such endeavours, privacy-preserving record linkage (PPRL) can be utilized to prevent needless exposure of sensitive information to other organizations. With the increase of personal data that is being gathered and an...Show More
Exascale computing and data architectures for brownfield applications
Martin Bobák;Adam S. Z. Belloum;Piotr Nowakowski;Jan Meizner;Marian Bubak;Matti Heikkurinen;Ondrej Habala;Ladislav Hluchý
2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Year: 2018 | Conference Paper |
Cited by: Papers (7)
Despite the recent dramatic advances in the computational and data processing capacities of the commodity solutions, a numerous scientific, socioeconomic and industrial “grand challenges” exists that could be solved only through capabilities that exceed the current solutions by orders of magnitude. To demonstrate the feasibility of addressing these problems necessitating processing of exascale dat...Show More
Validating Data Integrity with Blockchain
2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Year: 2018 | Conference Paper |
Cited by: Papers (16)
Data manipulation is often named as a serious threat to data integrity. Data can be tampered with, and malicious actors could use this to their advantage. Data users in various application domains want to be ensured that the data they are consuming are accurate and have not been tampered with. To validate the integrity of these data, we describe a blockchain-based hash validation method. The metho...Show More
Cookery: A Framework for Creating Data Processing Pipeline Using Online Services
2018 IEEE 14th International Conference on e-Science (e-Science)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
With the increasing amount of data the importance of data analysis has grown. A large amount of this data has shifted to cloud-based storage. The cloud offers storage and computation power. The Cookery framework is a tool developed to build application in the cloud for scientists without a complete understanding of programming. In this paper with present the cookery systems and how it can be used ...Show More
Model Curricula for Data Science EDISON Data Science Framework
2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
This paper presents the Data Science Model Curriculum (MC-DS) that is based on the Data Science Competence Framework and Data Science Body of Knowledge defined in EDISON Data Science Framework (EDSF). MC-DS follows a competence-based curriculum design approach grounded in the Data Science competences (CD-DS) defined in EDSF and correspondingly defined Learning Outcomes (LO). The DSBoK provides a b...Show More
Customisable Data Science Educational Environment: From Competences Management and Curriculum Design to Virtual Labs On-Demand
Yuri Demchenko;Adam Belloum;Cees de Laat;Charles Loomis;Tomasz Wiktorski;Erwin Spekschoor
2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Year: 2017 | Conference Paper |
Cited by: Papers (18)
Data Science is an emerging field of science, which requires a multi-disciplinary approach and is based on the Big Data and data intensive technologies that both provide a basis for effective use of the data driven research and economy models. Modern data driven research and industry require new types of specialists that are capable to support all stages of the data lifecycle from data production ...Show More
Quantitative and Qualitative Analysis of Current Data Science Programs from Perspective of Data Science Competence Groups and Framework
Tomasz Wiktorski;Yuri Demchenko;Adam Belloum;Anoosheh Shirazi
2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
Data Science is becoming a field connecting multi-year development in areas such as Big Data and Data Analytics, and also applied domains like Bioengineering. Data Science education programs are rapidly being created on all levels. Usually it happens through reuse or renaming and can result in curricula that lack proper balance of competences, which balance is necessary for future data scientists....Show More
EDISON Data Science Framework: A Foundation for Building Data Science Profession for Research and Industry
Yuri Demchenko;Adam Belloum;Wouter Los;Tomasz Wiktorski;Andrea Manieri;Holger Brocks;Jana Becker;Dominic Heutelbeck;Matthias Hemmje;Steve Brewer
2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Year: 2016 | Conference Paper |
Cited by: Papers (37)
Data Science is an emerging field of science, which requires a multi-disciplinary approach and should be built with a strong link to emerging Big Data and data driven technologies, and consequently needs re-thinking and re-design of both traditional educational models and existing courses. The education and training of Data Scientists currently lacks a commonly accepted, harmonized instructional m...Show More
Distributed Data Management Service for VPH Applications
Spiros Koulouzis;Adam Belloum;Marian Bubak;Pablo Lamata;Daniel Nolte;Dmitry Vasyunin;Cees de Laat
For many medical applications, it's challenging to access large datasets, which are often hosted across different domains on heterogeneous infrastructures. Homogenizing the infrastructure to simplify data access is unrealistic; therefore, it's important to develop distributed storage that doesn't introduce added complexity. Here, a solution is investigated that flexibly federates data on clouds or...Show More
Cookery: A framework for developing cloud applications
2015 International Conference on High Performance Computing & Simulation (HPCS)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Cloud service providers support many different standards in authentication and resource management. Libraries and APIs provided to operate in a cloud environment are not consistent and require deep understanding of internal technical aspects. Thus, we propose a framework that provides high-level language to develop applications and, thanks to its layered structure, API to modify low-level operatio...Show More
Data and process abstractions for cloud computing
2015 International Conference on High Performance Computing & Simulation (HPCS)
Year: 2015 | Conference Paper |
Applying suitable application models is essential to achieve efficient execution of the applications, effective development process and assure application portability and reusability. We observe that execution environments and the cloud environment in particular, lack of tools that would make it more available from a programmer perspective. Complexity and variety of libraries and authentication me...Show More
Experience of Profiling Curricula on Cloud Computing Technologies and Engineering for Different Target Groups
2014 IEEE 6th International Conference on Cloud Computing Technology and Science
Year: 2014 | Conference Paper |
Cited by: Papers (4)
This paper presents results and experience by the authors based on the few delivered courses on Cloud Computing for different target groups of students, specialists and trainees. The developed courses implement the proposed by the authors instructional methodology integrating the two major concepts of effective learning: the Bloom's Taxonomy of cognitive learning processes and Andragogy as the adu...Show More
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