ubitech – Page 33

Posted on January 26, 2021February 5, 2021 by ubitech

UBITECH’s co-authored scientific paper on Data-Intensive Multi-Cloud, Fog, and Edge Function-as-a-Service Applications published at IRMJ

The scientific paper entitled “PrEstoCloud: A Novel Framework for Data-Intensive Multi-Cloud, Fog, and Edge Function-as-a-Service Applications”, co-authored by UBITECH, has been accepted and published online at the Information Resources Management Journal (IRMJ) of IGI Global. Giannis Ledakis, Head of UBITECH’s Computing Systems, Software and Services research group, and his co-authors from NTUA and JSI review prominent fog computing frameworks and discuss some of the challenges and requirements of Function-as-a-Service (FaaS) -enabled applications. Moreover, they propose a novel framework able to dynamically manage multi-cloud, fog, and edge resources and to deploy data-intensive applications developed using the FaaS paradigm. The proposed framework leverages the FaaS paradigm in a way that improves the average service response time of data-intensive applications by a factor of three regardless of the underlying multi-cloud, fog, and edge resource infrastructure.

Posted on January 25, 2021January 28, 2021 by ubitech

UBITECH undertakes the integration lead of the inGOV Research and Innovation Action on Inclusive Governance Models and ICT Tools for Integrated Public Service Co-Creation and Provision

UBITECH participates at the virtual kick-off meeting (January 25-26, 2021), hosted by UniSystems, of the inGOV Research and Innovation Action, officially started on January 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 962563) and spans on the period January 2021 – December 2023. The vision of inGOV project is to enable European public authorities to co-create user-friendly, integrated public services accessible via mobile devices to all, particularly the disadvantaged, resulting in increased adoption, efficiency, effectiveness, trust and satisfaction – supporting the Integrated Public Service (IPS) cocreation.

Posted on January 20, 2021January 20, 2021 by ubitech

UBITECH undertakes the technical coordination of the 5G-INDUCE Innovation Action on open cooperative 5G experimentation platforms for the industrial sector NetApps

UBITECH co-hosts (along with CNIT) the virtual kick-off meeting (January 20-21, 2021) of the 5G-INDUCE Innovation Action, officially started on January 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 101016941) and spans on the period January 2021 – December 2023. The vision of 5G-INDUCE aims to support vertical stakeholders and NetApp developers to be able to smoothly deploy and manage applications in distributed 5G network environments, in a secure fashion and with strict KPI requirements. 5G-INDUCE relies on the deployment of an open ETSI NFV compatible 5G orchestration platform for the deployment of advanced 5G NetApps.

Posted on January 19, 2021January 19, 2021 by ubitech

UBITECH kicks off the DataCloud Research and Innovation Action on Big Data Pipeline Lifecycle Management across the Computing Continuum

UBITECH participates at the virtual kick-off meeting hosted by SINTEF (January 19-21, 2021) of the DataCloud Research and Innovation Action, officially started on January 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 101016835) and spans on the period January 2021 – December 2023. The DataCloud project provides a novel paradigm covering the complete lifecycle of managing Big Data pipelines through discovery, design, simulation, provisioning, deployment, and adaptation across the Computing Continuum. Big Data pipelines in DataCloud interconnect the end-to-end industrial operations of collecting pre-processing and filtering data, transforming and delivering insights, training simulation models, and applying them in the cloud to achieve a business goal. DataCloud delivers a toolbox of new languages, methods, infrastructures, and prototypes for discovering, simulating, deploying, and adapting Big Data pipelines on heterogeneous and untrusted resources. DataCloud separates the design from the run-time aspects of Big Data pipeline deployment, empowering domain experts to take an active part in their definitions.

Posted on January 19, 2021 by ubitech

UBITECH kicks off the TeraFlow Research and Innovation Action on Secured Autonomic Traffic Management for a Tera of SDN flows

UBITECH participates at the virtual kick-off meeting hosted by CTTC (January 19-20, 2021) of the TeraFlow Research and Innovation Action, officially started on January 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 101015857) and spans on the period January 2021 – June 2023. The TeraFlow project aims to create a new type of secure cloud native SDN controller that will radically advance the state-of-the-art in beyond 5G networks. This new SDN controller shall be able to integrate with the current NFV and MEC frameworks as well as to provide revolutionary features for both flow management (service layer) and optical/microwave network equipment integration (infrastructure layer), while incorporating security using Machine Learning (ML) and forensic evidence for multitenancy based on Distributed Ledgers.

Posted on January 19, 2021 by ubitech

UBITECH ENERGY kicks off the SMART5GRID Innovation Action on the demonstration of 5G solutions for Smart Energy Grids

UBITECH ENERGY participates at the virtual kick-off meeting hosted by ENEL (January 19-21, 2021) of the Smart5Grid Innovation Action, officially started on January 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 101016912) and spans on the period January 2021 – December 2023. The Smart5Grid project aims to revolutionise the Energy industry through the successful establishment of four fundamental functions of modern smart grids, i.e., (i) automatic power distribution grid fault detection, (ii) remote inspection of automatically delimited working areas, (iii) millisecond level precise distribution generation control, and (iv) real-time wide area monitoring in a creative cross-border scenario, thus assisting power grid operators and other energy stakeholders.

Posted on January 12, 2021 by ubitech

UBITECH kicks off the STAR Research and Innovation Action on Trusted AI in Manufacturing

UBITECH participates at the virtual kick-off meeting hosted by INTRASOFT (January 11-12, 2021) of the STAR Research and Innovation Action, officially started on January 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 956573) and spans on the period January 2021 – December 2023. The STAR project constitutes a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe reliable and trusted human centric AI systems in manufacturing environments. STAR will research and make available to novel technologies that will enable AI systems to acquire knowledge in order to take timely and safe decisions in dynamic and unpredictable environments. Moreover, STAR will research technologies that enable AI systems to confront sophisticated adversaries and to remain robust against security attacks.

Posted on January 11, 2021January 12, 2021 by ubitech

UBITECH has been awarded a research grant on V2X Communication Security from a multinational technology company

A global tech leader has recently awarded UBITECH with 16-month research contract, aiming at building and demonstrating a V2X Communication Security Architecture Including Pseudonym Usage and Re-usage as well as Pseudonym Revocation based on the Use of the Direct Anonymous Attestation (DAA) Protocol. More specifically, in the course of this action, a new solution (that changes that traditional PKI-based landscape) based on the use of the Direct Anonymous Attestation (DAA) protocol will be built by UBITECH. DAA is a user-controlled anonymous digital signature mechanism, where for each signature no entity can discover the signer’s identity. However, DAA still has the property that only a legitimate signer (e.g., vehicle) can create a valid signature through the use of trusted computing hardware or software. Under DAA, vehicles will be responsible for generating their own pseudonyms resulting in simplified infrastructure models where there is no need for a dedicated entity to take up this role.

Posted on January 7, 2021January 7, 2021 by ubitech

UBITECH kicks off the ELEGANT Research and Innovation Action on Secure and Seamless Edge-to-Cloud Analytics

UBITECH participates at the virtual kick-off meeting hosted by EXUS (January 7, 2021) of the ELEGANT Research and Innovation Action, officially started on January 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 957286) and spans on the period January 2021 – December 2023. The vision of the ELEGANT project is to solve the ever-increasing problem of software fragmentation in the IoT/Big Data interoperability domain, proposing a novel software programming paradigm, along with an associated set of methodologies and toolchains, to program IoT and Big Data frameworks using a unified programming framework.

Posted on December 11, 2020November 12, 2021 by ubitech

UBITECH presents a scientific paper on Big Data Technologies and Applications at EAI BDTA 2020

The scientific paper entitled ”A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry” has been accepted and presented at the 10th EAI International Conference on Big Data Technologies and Applications, which was held online worldwide on the 11^th of December 2020. Mr Dimitris Miltiadou, delivery manager of the Data Science and Analytics research group of UBITECH, and his co-authors presented the architecture of the ICARUS big data-enabled platform that holistically handles the complete big data lifecycle from the data collection, data curation and data exploration to the data integration and data analysis of data originating from heterogeneous data sources with different velocity, variety and volume in a trusted and secure manner.