On October 29, 2018 at UBITECH’s premises in Athens, partners of the Horizon 2020 co-funded research projects I-BiDaaS and PrEstoCloud will meet at a joint technical workshop to explore, discuss and promote coexistence and synergies in the area of Big Data and Cloud technologies and applications. On the one hand, PrEstoCloud (prestocloud-project.eu) focuses on the research of cloud computing and real-time big data technologies, providing a dynamic, distributed architecture that enables proactive cloud resource management reaching the extreme edge of the network for efficient data processing. On the other hand, I-BiDaaS (www.ibidaas.eu/) constitutes a self-service solution, aiming to empower users to easily utilize and interact with big data technologies by designing, building and demonstrating a unified framework that significantly increases the speed of data analysis while coping with the rate of data asset growth and facilitates cross-domain data-flow towards a thriving data-driven EU economy. Participants of the workshop will use the opportunity to identify common challenges, create synergies and optimize the research activities of both projects dealing with similar topics.
UBITECH participates in the kick-off meeting, in Nicosia, Cyprus (October 24, 2018) of the PERSONAS Cypriot research project, officially started on October 2nd, 2018. The project is co-funded by the “Research in Enterprises” action of the multi-annual development framework of Programmes RESTART 2016-2020 for the support of Research, Technological Development and Innovation in Cyprus (Grant Agreement No. ENTERPRISES/0916/0063) and spans on the period October 2018 – September 2020. The PERSONAS project leverages virtualization for offering additional security to the end-user, providing a device independent, user-centric and self-adaptive security system, able to cope with the concept of seamless working experience on different devices, in which a user may start a session on a device and location and follow up the process on different devices and locations, without corporate or personal digital asset loss – delivering an agile personalized system, which, based on the context, enables different features for increased security on individuals and corporate devices.
Main features include: (i) enable automation of software virtualization for protecting different types of corporate and personal data based on an active context, and (ii) assist individual users and organizations manage data security processes and related policies more effectively while maintaining a sufficient level of user awareness and control of any automated decisions made by computing devices. The key technological concepts and artefacts comprising the proposed PERSONAS framework and constituting its unique selling points are described below:
The scientific paper entitled “An Ontology-Driven Elderly People Home Mobilization Approach”, edited by UBITECH and presented at the First International Workshop on Semantic Web Technologies for Health Data Management (SWH 2018) Workshop that is co-located with the 17th International Semantic Web Conference (ISWC 2018), hosted between October 8-12, 2018 in Monterey, California, USA, has been selected as the best paper of SWH 2018. As a result, an extended version of it will be included in a journal special issue entitled “Emerging Topics in Semantic Technologies. ISWC 2018 Satellite Events” by AKA Verlag. In this paper, Sophia Karagiorgou, Dimitris Ntalaperas, Georgios Vafeiadis, Dimitris Alexandrou and their co-authors introduce a semantic interoperability agent which exploits mobility tracking and spatiotemporal characteristics to extract human profiling in order to give incentives to elderly people for mobilization at home. The agent exploits an extended ontology composed by UBITECH R&D team over the official collection of universAAL ontology, which facilitates the collation of evidence for the effects of exergaming on the movement control of older adults. This agent enables to support personalized monitoring services through a set of rules which are individually defined to generate incentives for elderly people home care taking into consideration their daily movement habits.
A scientific paper entitled “An Ontology-Driven Elderly People Home Mobilization Approach” has been edited by UBITECH and is presented at the First International Workshop on Semantic Web Technologies for Health Data Management (SWH 2018) Workshop that is co-located with the 17th International Semantic Web Conference (ISWC 2018), hosted between October 8-12, 2018 in Monterey, California, USA. In this paper, Sophia Karagiorgou, Dimitris Ntalaperas, Georgios Vafeiadis, Dimitris Alexandrou and their co-authors propose a semantic interoperability agent which exploits mobility tracking and spatiotemporal characteristics to extract human profiling and give incentives for mobilization at home. The agent takes advantage of an extended ontology which facilitates the collation of evidence for the effects of exergaming on the movement control of older adults. In order to provide personalized monitoring services, a number of rules are individually defined to generate incentives. To evaluate the proposed semantic interoperability agent, human mobility data are collected and analyzed based on daily activities, their duration and mobility patterns. We show that the proposed agent is robust enough for activity classification, and that the recommendations for mobilization are accurate. We further demonstrate the agent’s potential in useful knowledge inference regarding personalized elderly people home care.
UBITECH participates in the kick-off meeting, in Athens, Greece (September 26, 2018) of the DESTINY Greek research project, officially started on September 1st, 2018. The project is co-funded by the action “Researching-Creating-Innovating” (under the instrument “Partnerships of Enterprises with Research Organizations”) of the operational programme for Research, Technological Development and Innovation of the Greek Ministry of Education, Research and Religion Matters (Grant Agreement No. T1EDK-02886) and spans on the period September 2018 – August 2021. The DESTINY project proposes to develop and, subsequently, support the clinical implementation of an advanced medical decision support system (DSS) for patients with high grade ovarian epithelial cancer (HGOC), based on radiogenomics, to enable the automatic classification of HGOC patients into risk categories. The produced DSS would provide important tools for MR image optimization, MRI (Magnetic Resonance Imaging) data processing, and medical and statistical data storage and therefore, it could be potentially used as a comprehensive digital service by health professionals for personalized medicine.
UBITECH hosts the kick-off meeting, in Athens, Greece (September 14, 2018) of the ARMONIA Greek research project, officially started on August 1st, 2018. The project is co-funded by the action “Researching-Creating-Innovating” (under the instrument “Partnerships of Enterprises with Research Organizations”) of the operational programme for Research, Technological Development and Innovation of the Greek Ministry of Education, Research and Religion Matters (Grant Agreement No. T1EDK-05061) and spans on the period August 2018 – January 2021. The ARMONIA project proposes the realization of the self-configured and unified access and metro network that will support the increasing traffic load and the requirements of emerging applications, enabling the redesign and upgrade of different segments of the network, as well as the re-configuration of equipment – without the involvement of manual operations that result in high capital (CAPEX) and operation expenditures (OPEX).
UBITECH participates in the kick-off meeting, in Nicosia, Cyprus (September 18, 2018) of the NAVARCHOS2 Cypriot research project, officially started on September 1st, 2018. The project is co-funded by the “Research in Enterprises” action of the multi-annual development framework of Programmes RESTART 2016-2020 for the support of Research, Technological Development and Innovation in Cyprus (Grant Agreement No. ENTERPRISES/0916/0072) and spans on the period September 2018 – August 2020. The NAVARCHOS2 project aims at the technological and innovation driven upgrade of Navarchos Fleet Management Systems so as to compete world-class related platforms that operate mainly on the cloud as a service and provide significant graphical information system capability and capacity as well as address the majority of operational and maintenance management requirements. The main features that will be designed and implemented in the frameworks of NAVARCHOS2 include: a) real-time driver-centric notification and recommendations algorithms for eco-driving behavior, b) intelligent metrics and analytics for empowering fleet managers to have a more comprehensive overview and complete control of their fleet, c) routing optimization and scheduling tools for increased fleet productivity, and d) scalable, highly available and high performance cloud-based infrastructure.
The first contractual review meeting for the PrEstoCloud H2020 co-funded research project took place in Brussels on September 7, 2018. The PrEstoCloud consortium successfully presented the results of the work of the project during the first 18 months of project. UBITECH, as integration leader,provided a live demo of the integrated PrEstoCloud platform for the deployment of an application built using the micro-service paradigm and applications following the Function as a Service (FaaS) technology was deployed at Cloud and Edge resources.
A scientific paper entitled “Performance Evaluation of Service Functions Chain Placement Algorithms in Edge Cloud” has been co-authored by University of Würzburg and UBITECH, and is presented at the International Teletraffic Congress ITC 30, that is held September 4-7, 2018, at the University of Vienna, Austria, and constitutes the 30th edition of the international flagship congress in the field of networking science and practice. In this paper, Dr Anastasios Zafeiropoulos and his co-authors propose four placement algorithms that aim to efficiently place the Service Functions Chains (SFCs) in servers with regard to minimizing service response time and resource utilization. Herein, heuristic approaches are evaluated against optimal solutions for the placement problems, which are formulated by using Integer Linear Programming (ILP). They evaluate and compare these placement strategies in a simulator. The result shows that the optimized solutions produce lowest service response time and least server utilization in all types of simulated SFCs.
A scientific paper entitled “Adaptive Edge and Fog Computing Paradigm for Wide Area Video and Audio Surveillance” has been edited by UBITECH and is presented at the Intelligent Systems and Services for Cloud Accessible, Data-intensive Computing (ISS-Cloud) Workshop that takes place as part of the 9th International Conference on Information, Intelligence, Systems and Applications (IISA 2018), hosted between 23 – 25 July, 2018 in Zakynthos, Greece. In this paper, UBITECH describes a novel, adaptive architecture and that builds on top of a distributed computing paradigm and is ideal for smart surveillance systems that can utilize resources at Cloud, Fog and Edge, documenting the main architectural components, the hardware options and key software components of the system – incorporating Cloud, Edge and Fog Computing concepts and artifacts. Edge Computing is realized by a camera embedded system, Cloud Computing with the usage of public accessible infrastructure for data processing and Fog Computing for the processing and data fusion of video streams in small areas.
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