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While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. Diverse and heterogeneous datasets are being generated from various sources, which could be utilized across the complete policies lifecycle (i.e. modelling, creation, evaluation and optimization) to realize efficient policy management. To this end, in this paper we present an overall architecture of a cloud-based environment that facilitates data retrieval and analytics, as well as policy modelling, creation and optimization. The environment enables data collection from heterogeneous sources, linking and aggregation, complemented with data cleaning and interoperability techniques in order to make the data ready for use. An innovative approach for analytics as a service is introduced and linked with a policy development toolkit, which is an integrated web-based environment to fulfil the requirements of the public policy ecosystem stakeholders.
Dimosthenis Kyriazis; Ofer Biran; Thanassis Bouras; Klaus Brisch; Armend Duzha; Rafael del Hoyo; Athanasios Kiourtis; Pavlos Kranas; Ilias Maglogiannis; George Manias; Marc Meerkamp; Konstantinos Moutselos; Argyro Mavrogiorgou; Panayiotis Michael; Ricard Munné; Giuseppe La Rocca; Kostas Nasias; Tomas Pariente Lobo; Vega Rodrigálvarez; Nikitas M. Sgouros; Konstantinos Theodosiou; Panayiotis Tsanakas. PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management. Unimagined Futures – ICT Opportunities and Challenges 2020, 141 -150.
AMA StyleDimosthenis Kyriazis, Ofer Biran, Thanassis Bouras, Klaus Brisch, Armend Duzha, Rafael del Hoyo, Athanasios Kiourtis, Pavlos Kranas, Ilias Maglogiannis, George Manias, Marc Meerkamp, Konstantinos Moutselos, Argyro Mavrogiorgou, Panayiotis Michael, Ricard Munné, Giuseppe La Rocca, Kostas Nasias, Tomas Pariente Lobo, Vega Rodrigálvarez, Nikitas M. Sgouros, Konstantinos Theodosiou, Panayiotis Tsanakas. PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management. Unimagined Futures – ICT Opportunities and Challenges. 2020; ():141-150.
Chicago/Turabian StyleDimosthenis Kyriazis; Ofer Biran; Thanassis Bouras; Klaus Brisch; Armend Duzha; Rafael del Hoyo; Athanasios Kiourtis; Pavlos Kranas; Ilias Maglogiannis; George Manias; Marc Meerkamp; Konstantinos Moutselos; Argyro Mavrogiorgou; Panayiotis Michael; Ricard Munné; Giuseppe La Rocca; Kostas Nasias; Tomas Pariente Lobo; Vega Rodrigálvarez; Nikitas M. Sgouros; Konstantinos Theodosiou; Panayiotis Tsanakas. 2020. "PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management." Unimagined Futures – ICT Opportunities and Challenges , no. : 141-150.
5G is considered to be the technology that will accommodate the development and management of innovative services with stringent and diverse requirements from end users, calling for new business models from the industry. In this context, the development and efficient management of Network Services (NS) serving specific vertical industries and spanning across multiple administrative domains and heterogeneous infrastructures is challenging. The main challenges regard the efficient provision of NSs considering the Quality of Service (QoS) requirements per vertical industry along with the optimal usage of the allocated resources. Towards addressing these challenges, this paper details an innovative approach that we have developed for managing and orchestrating such NSs, called SONATA, and compare it with OSM and Cloudify, which are two of the most known open-source Management and Orchestration (MANO) frameworks. In addition to examining the supported orchestration mechanisms per MANO framework, an evaluation of main operational and functional KPIs is provided based on experimentation using a real testbed. The final aim is the identification of their strong and weak points, and the assessment of their suitability for serving diverse vertical industry needs, including of course the Internet of Things (IoT) service ecosystem.
Panagiotis Trakadas; Panagiotis Karkazis; Helen C. Leligou; Theodore Zahariadis; Felipe Vicens; Arturo Zurita; Pol Alemany; Thomas Soenen; Carlos Parada; Jose Bonnet; Eleni Fotopoulou; Anastasios Zafeiropoulos; Evgenia Kapassa; Marios Touloupou; Dimosthenis Kyriazis. Comparison of Management and Orchestration Solutions for the 5G Era. Journal of Sensor and Actuator Networks 2020, 9, 4 .
AMA StylePanagiotis Trakadas, Panagiotis Karkazis, Helen C. Leligou, Theodore Zahariadis, Felipe Vicens, Arturo Zurita, Pol Alemany, Thomas Soenen, Carlos Parada, Jose Bonnet, Eleni Fotopoulou, Anastasios Zafeiropoulos, Evgenia Kapassa, Marios Touloupou, Dimosthenis Kyriazis. Comparison of Management and Orchestration Solutions for the 5G Era. Journal of Sensor and Actuator Networks. 2020; 9 (1):4.
Chicago/Turabian StylePanagiotis Trakadas; Panagiotis Karkazis; Helen C. Leligou; Theodore Zahariadis; Felipe Vicens; Arturo Zurita; Pol Alemany; Thomas Soenen; Carlos Parada; Jose Bonnet; Eleni Fotopoulou; Anastasios Zafeiropoulos; Evgenia Kapassa; Marios Touloupou; Dimosthenis Kyriazis. 2020. "Comparison of Management and Orchestration Solutions for the 5G Era." Journal of Sensor and Actuator Networks 9, no. 1: 4.
Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and human interaction fields. Currently, the increasing availability of health data is demanding data-driven approaches, bringing the opportunities to automate healthcare related tasks, providing better disease detection, more accurate prognosis, faster clinical research advance and better fit for patient management. In order to share data with as many stakeholders as possible, interoperability is the only sustainable way for letting systems to talk with one another and getting the complete image of a patient. Thus, it becomes clear that an efficient solution in the data exchange incompatibility is of extreme importance. Consequently, interoperability can develop a communication framework between non-communicable systems, which can be achieved through transforming healthcare data into ontologies. However, the multidimensionality of healthcare domain and the way that is conceptualized, results in the creation of different ontologies with contradicting or overlapping parts. Thus, an effective solution to this problem is the development of methods for finding matches among the various components of ontologies in healthcare, in order to facilitate semantic interoperability. The proposed mechanism promises healthcare interoperability through the transformation of healthcare data into the corresponding HL7 FHIR structure. In more detail, it aims at building ontologies of healthcare data, which are later stored into a triplestore. Afterwards, for each constructed ontology the syntactic and semantic similarities with the various HL7 FHIR Resources ontologies are calculated, based on their Levenshtein distance and their semantic fingerprints accordingly. Henceforth, after the aggregation of these results, the matching to the HL7 FHIR Resources takes place, translating the healthcare data into a widely adopted medical standard. Through the derived results it can be seen that there exist cases that an ontology has been matched to a specific HL7 FHIR Resource due to its syntactic similarity, whereas the same ontology has been matched to a different HL7 FHIR Resource due to its semantic similarity. Nevertheless, the developed mechanism performed well since its matching results had exact match with the manual ontology matching results, which are considered as a reference value of high quality and accuracy. Moreover, in order to furtherly investigate the quality of the developed mechanism, it was also evaluated through its comparison with the Alignment API, as well as the non-dominated sorting genetic algorithm (NSGA-III) which provide ontology alignment. In both cases, the results of all the different implementations were almost identical, proving the developed mechanism's high efficiency, whereas through the comparison with the NSGA-III algorithm, it was observed that the developed mechanism needs additional improvements, through a potential adoption of the NSGA-III technique. The developed mechanism creates new opportunities in conquering the field of healthcare interoperability. However, according to the mechanism's evaluation results, it is almost impossible to create syntactic or semantic patterns for understanding the nature of a healthcare dataset. Hence, additional work should be performed in evaluating the developed mechanism, and updating it with respect to the results that will derive from its comparison with similar ontology matching mechanisms and data of multiple nature.
Athanasios Kiourtis; Sokratis Nifakos; Argyro Mavrogiorgou; Dimosthenis Kyriazis. Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching. International Journal of Medical Informatics 2019, 132, 104002 .
AMA StyleAthanasios Kiourtis, Sokratis Nifakos, Argyro Mavrogiorgou, Dimosthenis Kyriazis. Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching. International Journal of Medical Informatics. 2019; 132 ():104002.
Chicago/Turabian StyleAthanasios Kiourtis; Sokratis Nifakos; Argyro Mavrogiorgou; Dimosthenis Kyriazis. 2019. "Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching." International Journal of Medical Informatics 132, no. : 104002.
Service oriented environments such as cloud computing infrastructures aim at facilitating the requirements of users and enterprises by providing services following an on-demand orientation. While the advantages of such environments are clear and lead to wide adoption, the key concern of the non-adopters refers to privacy and security. Even though providers put in place several measures to minimize security and privacy vulnerabilities, the users are still in many cases reluctant to move their data and applications to clouds. In this paper an approach is presented that proposes the use of security controls as plugins that can be ingested in service-oriented environments. The latter allows users to tailor the corresponding security and privacy levels by utilizing security measures that have been selected and implemented by themselves, thus alleviating their security and privacy concerns. The challenges and an architecture with the corresponding key building blocks that address these challenges are presented. Furthermore, results in the context of trustworthy requirements, i.e. dependability, are presented to evaluate the proposed approach.
Dimosthenis Kyriazis. Enabling Custom Security Controls as Plugins in Service Oriented Environments. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 32 -51.
AMA StyleDimosthenis Kyriazis. Enabling Custom Security Controls as Plugins in Service Oriented Environments. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():32-51.
Chicago/Turabian StyleDimosthenis Kyriazis. 2019. "Enabling Custom Security Controls as Plugins in Service Oriented Environments." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 32-51.
NFV and SDN transform network management and operation into agile development tasks. They involve software artefacts, which are managed and deployed as composite services using DevOps principles. Those softwarized networks rely on complex technology stacks, starting with low-level virtualization technologies and ranging up to machine-learning-based orchestration solutions. One of the main challenges in those environments is to verify that the deployed functions and services operate correctly and meet the quality goals set by the stakeholders before they are put into production. We tackle this challenge by introducing the novel concept of a verification and validation (V&V) platform for NFV, which enables automatic testing and qualification of single network functions and complex services. By adding such a platform to the NFV ecosystem, new business models emerge, as we discuss in this article. We evaluate our proposed concepts by presenting a case study that uses our open source V&V platform to verify and validate the behavior and performance of a real-world network service.
Manuel Peuster; Stefan Schneider; Mengxuan Zhao; George Xilouris; Panagiotis Trakadas; Felipe Vicens; Wouter Tavernier; Thomas Soenen; Ricard Vilalta; George Andreou; Dimosthenis Kyriazis; Holger Karl. Introducing Automated Verification and Validation for Virtualized Network Functions and Services. IEEE Communications Magazine 2019, 57, 96 -102.
AMA StyleManuel Peuster, Stefan Schneider, Mengxuan Zhao, George Xilouris, Panagiotis Trakadas, Felipe Vicens, Wouter Tavernier, Thomas Soenen, Ricard Vilalta, George Andreou, Dimosthenis Kyriazis, Holger Karl. Introducing Automated Verification and Validation for Virtualized Network Functions and Services. IEEE Communications Magazine. 2019; 57 (5):96-102.
Chicago/Turabian StyleManuel Peuster; Stefan Schneider; Mengxuan Zhao; George Xilouris; Panagiotis Trakadas; Felipe Vicens; Wouter Tavernier; Thomas Soenen; Ricard Vilalta; George Andreou; Dimosthenis Kyriazis; Holger Karl. 2019. "Introducing Automated Verification and Validation for Virtualized Network Functions and Services." IEEE Communications Magazine 57, no. 5: 96-102.
It is an undeniable fact that Internet of Things (IoT) technologies have become a milestone advancement in the digital healthcare domain, since the number of IoT medical devices is grown exponentially, and it is now anticipated that by 2020 there will be over 161 million of them connected worldwide. Therefore, in an era of continuous growth, IoT healthcare faces various challenges, such as the collection, the quality estimation, as well as the interpretation and the harmonization of the data that derive from the existing huge amounts of heterogeneous IoT medical devices. Even though various approaches have been developed so far for solving each one of these challenges, none of these proposes a holistic approach for successfully achieving data interoperability between high-quality data that derive from heterogeneous devices. For that reason, in this manuscript a mechanism is produced for effectively addressing the intersection of these challenges. Through this mechanism, initially, the collection of the different devices’ datasets occurs, followed by the cleaning of them. In sequel, the produced cleaning results are used in order to capture the levels of the overall data quality of each dataset, in combination with the measurements of the availability of each device that produced each dataset, and the reliability of it. Consequently, only the high-quality data is kept and translated into a common format, being able to be used for further utilization. The proposed mechanism is evaluated through a specific scenario, producing reliable results, achieving data interoperability of 100% accuracy, and data quality of more than 90% accuracy.
Argyro Mavrogiorgou; Athanasios Kiourtis; Konstantinos Perakis; Stamatios Pitsios; Dimosthenis Kyriazis. IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices. Sensors 2019, 19, 1978 .
AMA StyleArgyro Mavrogiorgou, Athanasios Kiourtis, Konstantinos Perakis, Stamatios Pitsios, Dimosthenis Kyriazis. IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices. Sensors. 2019; 19 (9):1978.
Chicago/Turabian StyleArgyro Mavrogiorgou; Athanasios Kiourtis; Konstantinos Perakis; Stamatios Pitsios; Dimosthenis Kyriazis. 2019. "IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices." Sensors 19, no. 9: 1978.
With the rapid development of Information Technology, the existence of Cyber-Physical Systems (CPSs) has revealed, which are slowly emerging to dominate our world through their tight integration between the computational and physical components. Especially the physical components, consist of various devices, known as Internet of Things (IoT) devices, which are responsible for collecting and producing CPSs’ data, whereas simultaneously are able to sense, monitor and interpret the different occasions and environments that are used. However, these devices are typically characterized by a high degree of heterogeneity, emerging the need for programming applications to deal with each specific new device in order to use its data. To address this problem, in this manuscript a generic plug ‘n’ play approach is proposed for connecting and recognizing heterogeneous IoT devices of both known and unknown nature, and integrating them to finally gather their data, focusing mainly in the healthcare domain. This approach is based upon a 4-step mechanism, where in the first stage the mechanism discovers and connects all the available devices of both known and unknown nature, gathering various information of them. The latter is then used in the second, third, and fourth stage, so as to identify the API methods that are responsible for collecting devices’ data, and integrate them into a unified API, for finally gathering the data from all the both known and unknown devices. The proposed mechanism is evaluated through a specific use case, producing reliable results, thus being considered as a reference value of high quality and accuracy.
Argyro Mavrogiorgou; Athanasios Kiourtis; Dimosthenis Kyriazis. A plug ‘n’ play approach for dynamic data acquisition from heterogeneous IoT medical devices of unknown nature. Evolving Systems 2019, 11, 269 -289.
AMA StyleArgyro Mavrogiorgou, Athanasios Kiourtis, Dimosthenis Kyriazis. A plug ‘n’ play approach for dynamic data acquisition from heterogeneous IoT medical devices of unknown nature. Evolving Systems. 2019; 11 (2):269-289.
Chicago/Turabian StyleArgyro Mavrogiorgou; Athanasios Kiourtis; Dimosthenis Kyriazis. 2019. "A plug ‘n’ play approach for dynamic data acquisition from heterogeneous IoT medical devices of unknown nature." Evolving Systems 11, no. 2: 269-289.
In all parts of Europe Cultural Heritage represents a significant economic sector on which many communities depend. However, built CH artefacts are under continuous degradation from environmental and anthropological effects, and face significant risk of catastrophic damage from events such as flooding, earthquakes, storm and fires, which are themselves exacerbated by the impact of climate change. Action must be taken to manage these risks and mitigate their effect, however traditional approaches have been fragmented between different areas of expertise and disciplines, without regard to the combined effect of such uncoordinated interventions, leading to ineffective and often detrimental impact on the very assets they seek to protect. Therefore, in this paper we propose a new holistic approach to the effective safeguarding and management of built CH artifacts through the provision of a decision support platform based upon interdisciplinary resilience modelling of current and future risks and interventions, monitoring and analysis of CH assets and natural hazards, creation of a semantic knowledge base and vulnerability, risk and cost modelling for planning and implementing intervention strategies. The main goal of this research is to deliver an architecture that takes account of and supports mitigation of the inter-related impact of environmental, climatic and anthropogenic factors on such significant cultural heritage assets as are represented by the world heritage sites acting as primary use cases for the project. The economic impact of such interventions is also addressed, since the financial importance of tourism at these sites must be balanced with the cost of intervention to protect them whilst recognising the socio-economic benefits to be gained.
Anastasios Doulamis; Kyriakos Lambropoulos; Dimosthenis Kyriazis; Antonia Moropoulou. Resilient Eco-Smart Strategies and Innovative Technologies to Protect Cultural Heritage. Communications in Computer and Information Science 2019, 376 -384.
AMA StyleAnastasios Doulamis, Kyriakos Lambropoulos, Dimosthenis Kyriazis, Antonia Moropoulou. Resilient Eco-Smart Strategies and Innovative Technologies to Protect Cultural Heritage. Communications in Computer and Information Science. 2019; ():376-384.
Chicago/Turabian StyleAnastasios Doulamis; Kyriakos Lambropoulos; Dimosthenis Kyriazis; Antonia Moropoulou. 2019. "Resilient Eco-Smart Strategies and Innovative Technologies to Protect Cultural Heritage." Communications in Computer and Information Science , no. : 376-384.
Three-dimensional (3D) visualization is an effective way not only to study but also to disseminate the built environment particularly the one of the cultural heritage (CH). The extended growth of the technical means have enabled standardized methods for (semi) automatic 3D model production motivating more and more researchers from various backgrounds (e.g. material scientists) to integrate the aspect of 3D modeling within their work despite the certain limitations concerning the amount and types of the data that have to be managed. In order to facilitate the needs of data management, a scalable, interactive, web-based platform is proposed within this work. The case study over which the proposed methodology has been implemented is the recently rehabilitated Holy Aedicule of the Holy Sepulchre in Jerusalem due to the vast amount of heterogenous data produced for the needs of monument’s documentation before and during rehabilitation. To address this issue, the present study will provide the missing layer that enables the semantic data labeling, through data processing and filtering, and their spatial representation - visualization. Additionally, a straightforward methodology for affordable but of high quality and precision modeling of cultural heritage data and its exploitation towards the delivery of personalized content is achieved. As a result, the derivative georeferenced high-resolution 3D models are transformed resulting in a multi-resolution model management which under the appropriate configuration of the JavaScript components on an interactive web platform.
Emmanouil Alexakis; Evgenia Kapassa; Marios Touloupou; Dimosthenis Kyriazis; Andreas Georgopoulos; Antonia Moropoulou. Innovative Methodology for Personalized 3D Representation and Big Data Management in Cultural Heritage. Communications in Computer and Information Science 2019, 69 -77.
AMA StyleEmmanouil Alexakis, Evgenia Kapassa, Marios Touloupou, Dimosthenis Kyriazis, Andreas Georgopoulos, Antonia Moropoulou. Innovative Methodology for Personalized 3D Representation and Big Data Management in Cultural Heritage. Communications in Computer and Information Science. 2019; ():69-77.
Chicago/Turabian StyleEmmanouil Alexakis; Evgenia Kapassa; Marios Touloupou; Dimosthenis Kyriazis; Andreas Georgopoulos; Antonia Moropoulou. 2019. "Innovative Methodology for Personalized 3D Representation and Big Data Management in Cultural Heritage." Communications in Computer and Information Science , no. : 69-77.
Current healthcare services promise improved life-quality and care. Nevertheless, most of these entities operate independently due to the ingested data’ diversity, volume, and distribution, maximizing the challenge of data processing and exchange. Multi-site clinical healthcare organizations today, request for healthcare data to be transformed into a common format and through standardized terminologies to enable data exchange. Consequently, interoperability constraints highlight the need of a holistic solution, as current techniques are tailored to specific scenarios, without meeting the corresponding standards’ requirements. This manuscript focuses on a data transformation mechanism that can take full advantage of a data intensive environment without losing the realistic complexity of health, confronting the challenges of heterogeneous data. The developed mechanism involves running ontology alignment and transformation operations in healthcare datasets, stored into a triple-based data store, and restructuring it according to specified criteria, discovering the correspondence and possible transformations between the ingested data and specific Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) through semantic and ontology alignment techniques. The evaluation of this mechanism results into the fact that it should be used in scenarios where real-time healthcare data streams emerge, and thus their exploitation is critical in real-time, since it performs better and more efficient in comparison with a different data transformation mechanism.
Athanasios Kiourtis; Argyro Mavrogiorgou; Andreas Menychtas; Ilias Maglogiannis; Dimosthenis Kyriazis. Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment. Journal of Medical Systems 2019, 43, 62 .
AMA StyleAthanasios Kiourtis, Argyro Mavrogiorgou, Andreas Menychtas, Ilias Maglogiannis, Dimosthenis Kyriazis. Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment. Journal of Medical Systems. 2019; 43 (3):62.
Chicago/Turabian StyleAthanasios Kiourtis; Argyro Mavrogiorgou; Andreas Menychtas; Ilias Maglogiannis; Dimosthenis Kyriazis. 2019. "Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment." Journal of Medical Systems 43, no. 3: 62.
A key feature of fifth generation (5G) and Software Defined Networking (SDN) is the assurance of high levels of the quality of service (QoS). To this end, Service Level Agreements (SLAs) are introduced in order to fulfill the gap between network operators and their customers. An SLA is a contract between the operator and the internal or external customer, which determines what Network Services (NSs) are offered and the guaranteed level of performance. Taking into consideration the above-mentioned needs, in this paper, we are introducing a fully integrated SLA management framework in a real 5G environment. In this demonstration we aim to bind business requirements as Service Level Objectives (SLOs) between network operators and the customers, with measurable recourse attributes. To achieve this, we allow network operators to choose between different SLOs during the SLA Template generation, and then automatically formulate an Agreement, based on each network slice instantiation and the corresponding NS. Finally, we provide a monitoring system in order to detect and alert for any violations.
Marios Touloupou; Evgenia Kapassa; Chrysostomos Symvoulidis; Panagiotis Stavrianos; Dimosthenis Kyriazis. An Integrated SLA Management Framework in a 5G Environment. 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) 2019, 233 -235.
AMA StyleMarios Touloupou, Evgenia Kapassa, Chrysostomos Symvoulidis, Panagiotis Stavrianos, Dimosthenis Kyriazis. An Integrated SLA Management Framework in a 5G Environment. 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN). 2019; ():233-235.
Chicago/Turabian StyleMarios Touloupou; Evgenia Kapassa; Chrysostomos Symvoulidis; Panagiotis Stavrianos; Dimosthenis Kyriazis. 2019. "An Integrated SLA Management Framework in a 5G Environment." 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) , no. : 233-235.
Current devices and sensors have revolutionized our daily lives, with the healthcare domain exploring and adapting new technologies. The rapid explosion of digital healthcare happened with the help of current 4G LTE technologies including innovations such as the continuous monitoring of patient vitals, teleporting doctors to a virtual environment or leveraging Artificial Intelligence to generate new medical insights. The arised problem is that current 4G LTE based communication platforms will not be able to keep up with the exploding connectivity demands. This is where the new 5G technology comes, expected to support ultra-reliable, low-latency and massive data communications. In this paper, an end-to-end approach is being provided in the healthcare domain for gathering medical data, anonymizing it, cleaning it, making it interoperable, and finally storing it through 5G network technologies, for their transmission to a different location, supporting real-time results and decision-making.
Argyro Mavrogiorgou; Athanasios Kiourtis; Marios Touloupou; Evgenia Kapassa; Dimosthenis Kyriazis; Marinos Themistocleous. The Road to the Future of Healthcare: Transmitting Interoperable Healthcare Data Through a 5G Based Communication Platform. Business Information Systems 2019, 383 -401.
AMA StyleArgyro Mavrogiorgou, Athanasios Kiourtis, Marios Touloupou, Evgenia Kapassa, Dimosthenis Kyriazis, Marinos Themistocleous. The Road to the Future of Healthcare: Transmitting Interoperable Healthcare Data Through a 5G Based Communication Platform. Business Information Systems. 2019; ():383-401.
Chicago/Turabian StyleArgyro Mavrogiorgou; Athanasios Kiourtis; Marios Touloupou; Evgenia Kapassa; Dimosthenis Kyriazis; Marinos Themistocleous. 2019. "The Road to the Future of Healthcare: Transmitting Interoperable Healthcare Data Through a 5G Based Communication Platform." Business Information Systems , no. : 383-401.
Parisis Gallos; Santiago Aso; Serge Autexier; Arturo Brotons; Antonio De Nigro; Gregor Jurak; Athanasios Kiourtis; Pavlos Kranas; Dimosthenis Kyriazis; Mitja Lustrek; Andrianna Magdalinou; Ilias Maglogiannis; John Mantas; Antonio Martinez; Andreas Menychtas; Lydia Montandon; Florin Picioroaga; Manuel Perez; Dalibor Stanimirovic; Gregor Starc; Tanja Tomson; Ruth Vilar-Mateo; Ana-Maria Vizitiu. CrowdHEALTH: Big Data Analytics and Holistic Health Records. Studies in health technology and informatics 2019, 258, 255 -256.
AMA StyleParisis Gallos, Santiago Aso, Serge Autexier, Arturo Brotons, Antonio De Nigro, Gregor Jurak, Athanasios Kiourtis, Pavlos Kranas, Dimosthenis Kyriazis, Mitja Lustrek, Andrianna Magdalinou, Ilias Maglogiannis, John Mantas, Antonio Martinez, Andreas Menychtas, Lydia Montandon, Florin Picioroaga, Manuel Perez, Dalibor Stanimirovic, Gregor Starc, Tanja Tomson, Ruth Vilar-Mateo, Ana-Maria Vizitiu. CrowdHEALTH: Big Data Analytics and Holistic Health Records. Studies in health technology and informatics. 2019; 258 ():255-256.
Chicago/Turabian StyleParisis Gallos; Santiago Aso; Serge Autexier; Arturo Brotons; Antonio De Nigro; Gregor Jurak; Athanasios Kiourtis; Pavlos Kranas; Dimosthenis Kyriazis; Mitja Lustrek; Andrianna Magdalinou; Ilias Maglogiannis; John Mantas; Antonio Martinez; Andreas Menychtas; Lydia Montandon; Florin Picioroaga; Manuel Perez; Dalibor Stanimirovic; Gregor Starc; Tanja Tomson; Ruth Vilar-Mateo; Ana-Maria Vizitiu. 2019. "CrowdHEALTH: Big Data Analytics and Holistic Health Records." Studies in health technology and informatics 258, no. : 255-256.
Big Data Analytics are indispensable components of architectures dealing with processing and visualizing results of diverse healthcare-related information sources. In this work, we propose a versatile cloud design where the Health Analytic Tools (HATs) are decoupled from the Datastore and the User-Interface parts, still preserving the element of system trust. This design offers advantages over the process of modifying and constructing new health policy models by means of supporting many-to-many relations between HATs and Health Key Performance Indicators. Additionally, it offers independence regarding HAT providers, analytics frameworks, cloud providers and deployment environments allowing the scaling of the proposed architecture.
Konstantinos Moutselos; Dimosthenis Kyriazis; Vasiliki Diamantopoulou; Ilias Maglogiannis. Trustworthy data processing for health analytics tasks. 2018 IEEE International Conference on Big Data (Big Data) 2018, 3774 -3779.
AMA StyleKonstantinos Moutselos, Dimosthenis Kyriazis, Vasiliki Diamantopoulou, Ilias Maglogiannis. Trustworthy data processing for health analytics tasks. 2018 IEEE International Conference on Big Data (Big Data). 2018; ():3774-3779.
Chicago/Turabian StyleKonstantinos Moutselos; Dimosthenis Kyriazis; Vasiliki Diamantopoulou; Ilias Maglogiannis. 2018. "Trustworthy data processing for health analytics tasks." 2018 IEEE International Conference on Big Data (Big Data) , no. : 3774-3779.
The IoT-based environments are mainly characterized by vertically oriented closed platforms/systems, also referred to as silos. This hinders the realization of an IoT environment where IoT platforms, objects, service and network resources from multiple providers could be easily interconnected, combined and serve multiple stakeholders. Moreover, in the cases of interconnected platforms one of the key limitations refers to dependability given the diversity and heterogeneity of the underlying resources and devices as well as the IoT management systems on top. In this paper, challenges and enablers are discussed to facilitate dependable federated environments, as well as an approach to enable end-to-end federation of IoT environments. The latter aims at allowing the sharing and optimization of the available resources, while meeting the multi-dimensional constraints emerging from different platform providers, stakeholders and applications. The proposed approach is also enhanced with a solution to ensure dependability based on the so-called semantic shims. The applicability of the proposed approach is discussed through a real-world scenario targeting supply chain management in ports.
Dimosthenis Kyriazis. Provision of Dependability Guarantees in IoT-Based Service-Oriented Environments. Advances in Intelligent Systems and Computing 2018, 665 -676.
AMA StyleDimosthenis Kyriazis. Provision of Dependability Guarantees in IoT-Based Service-Oriented Environments. Advances in Intelligent Systems and Computing. 2018; ():665-676.
Chicago/Turabian StyleDimosthenis Kyriazis. 2018. "Provision of Dependability Guarantees in IoT-Based Service-Oriented Environments." Advances in Intelligent Systems and Computing , no. : 665-676.
Regardless of their implementation aspects and distribution elements, i.e. centralized or distributed, service-based environments such as cloud computing and edge/fog infrastructures, enable the provisioning of services addressing a wide range of application domains. The key requirement for users and consumers of such services refers to the corresponding levels of quality, which is affected both by the real-world dynamics - given the non-deterministic use of services, and by the underlying resources state - given the typically virtualized sharing nature of the resources. In this paper, an approach is presented that aims at estimating the evolvement of services and resources state in order to provide insights for runtime adaptations, as required to ensure services quality. The state refers to different metrics / parameters such as memory, number of users, throughput, etc, and can be extended and applied to different ones. The proposed approach exploits polynomial regression and prediction to identify the aforementioned state evolvement by mapping the two first monitoring data points for each metric / parameter to the corresponding function that depicts their evolvement. The latter provides added value in different cases, including among others the adaptation of monitoring time intervals, the estimation of the potential breach of quality thresholds, and the prediction of the time for runtime adaptations and scaling decisions. The effectiveness of the implemented approach is demonstrated and evaluated through a set of different scenarios.
Dimosthenis Kyriazis. Modelling and prediction of resources and services state evolvement for efficient runtime adaptations. Future Generation Computer Systems 2018, 94, 1 -10.
AMA StyleDimosthenis Kyriazis. Modelling and prediction of resources and services state evolvement for efficient runtime adaptations. Future Generation Computer Systems. 2018; 94 ():1-10.
Chicago/Turabian StyleDimosthenis Kyriazis. 2018. "Modelling and prediction of resources and services state evolvement for efficient runtime adaptations." Future Generation Computer Systems 94, no. : 1-10.
The healthcare sector faces multiple challenges in implementing, maintaining and upgrading its systems, including technical, security and interoperability difficulties. Ontologies are the key to achieve and improve healthcare interoperability, in the form of a permanent artefact of the specification of each of the medical concepts. However, since different ontologies may have contradicting or overlapping parts, the need for the creation of ontology matching techniques for identifying similarities between them is rising. In the meantime, a large number of ontologies, vocabularies and taxonomies, as well as medical standards are constructed and globally adopted (e.g. HL7 FHIR), without promising the existence of a single global ontology, any time soon. Thus, a substantial overhaul of methodology is required to address the real complexity of health. This can be achieved through the FHIR Ontology Mapper (FOM) technique that is presented in this paper, which aims at constructing healthcare ontologies from any data source, and then identifying both the structural and semantic similarities between the latter and the HL7 FHIR resources ontologies. The final matchings derive from the mean of the latter, aiming at translating healthcare data of any type, into the widely adopted HL7 FHIR standard, thus enabling interoperability and improving the quality of patient care and research.
Athanasios Kiourtis; Argyro Mavrogiorgou; Dimosthenis Kyriazis. FHIR Ontology Mapper (FOM): Aggregating Structural and Semantic Similarities of Ontologies towards their Alignment to HL7 FHIR. 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) 2018, 1 -7.
AMA StyleAthanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis. FHIR Ontology Mapper (FOM): Aggregating Structural and Semantic Similarities of Ontologies towards their Alignment to HL7 FHIR. 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom). 2018; ():1-7.
Chicago/Turabian StyleAthanasios Kiourtis; Argyro Mavrogiorgou; Dimosthenis Kyriazis. 2018. "FHIR Ontology Mapper (FOM): Aggregating Structural and Semantic Similarities of Ontologies towards their Alignment to HL7 FHIR." 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) , no. : 1-7.
The emergence of service-oriented architectures has driven the shift towards a service-oriented paradigm, which has been adopted in several application domains. The advent of cloud computing facilities and recently of edge computing environments has increased the aforementioned paradigm shift towards service provisioning. In this context, various “traditional” critical infrastructure components have turned to services, being deployed and managed on top of cloud and edge computing infrastructures. However, the latter poses a specific challenge: the services of the critical infrastructures within and across application verticals/domains (e.g., transportation, health, industrial venues, etc.) need to be continuously available with near-zero downtime. In this context, this paper presents an approach for high-performance monitoring and failure detection of critical infrastructure services that are deployed in virtualized environments. The failure detection framework consists of distributed agents (i.e., monitoring services) to ensure timely collection of monitoring data, while it is enhanced with a voting algorithm to minimize the case of false positives. The goal of the proposed approach is to detect failures in datacenters that support critical infrastructures by targeting both the acquisition of monitoring data in a performant way and the minimization of false positives in terms of potential failure detection. The specific approach is the baseline towards decision making and triggering of actions in runtime to ensure service high availability, given that it provides the required data for decision making on time with high accuracy.
Dimosthenis Kyriazis. Protection of Service-Oriented Environments Serving Critical Infrastructures. Inventions 2018, 3, 62 .
AMA StyleDimosthenis Kyriazis. Protection of Service-Oriented Environments Serving Critical Infrastructures. Inventions. 2018; 3 (3):62.
Chicago/Turabian StyleDimosthenis Kyriazis. 2018. "Protection of Service-Oriented Environments Serving Critical Infrastructures." Inventions 3, no. 3: 62.
Current devices and sensors have revolutionized our daily lives, with the healthcare domain exploring and adapting new technologies, promising high quality of care. The diversity of healthcare data is leading to the independent operation of the latter, whilst the value emerging from their exploitation is limited. Most of the data is confined in data silos, without meeting the requirements of standards, and secure data exchange. Healthcare systems need to be able to communicate and exchange data anonymously, for better understanding about the results of prevention strategies, diseases, and efficiency of patient pathway management. Since healthcare interoperability is the only sustainable way to address these constraints, several techniques have been developed but they are partially applicable, rising the needs of a generic solution. The increased use of Electronic Health Records (EHRs) requires ontologies to capture domain knowledge, providing the basis for agreement within the healthcare domain. This manuscript focuses on the semantic interoperability of multiple EHRs – and their standards, proposing a way for primarily anonymizing the personal data stored into the EHRs, and then transforming the EHR datasets into XML Syntactic Models, for getting their semantic knowledge through their ontological representation.
Athanasios Kiourtis; Argyro Mavrogiorgou; Dimosthenis Kyriazis. Towards a Secure Semantic Knowledge of Healthcare Data Through Structural Ontological Transformations. Blockchain Technology and Innovations in Business Processes 2018, 178 -188.
AMA StyleAthanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis. Towards a Secure Semantic Knowledge of Healthcare Data Through Structural Ontological Transformations. Blockchain Technology and Innovations in Business Processes. 2018; ():178-188.
Chicago/Turabian StyleAthanasios Kiourtis; Argyro Mavrogiorgou; Dimosthenis Kyriazis. 2018. "Towards a Secure Semantic Knowledge of Healthcare Data Through Structural Ontological Transformations." Blockchain Technology and Innovations in Business Processes , no. : 178-188.
The utilization of healthcare data analytics is expected to play an important role for future health management and public health policy making, especially considering the problem of our aging society. In this short paper we present the conceptual design of a Web based environment called Policy Development Toolkit (PDT), which aims to promote the exploitation of heterogeneous holistic health data and pre-existing knowledge on public health policy models. The proposed approach incorporates mechanisms for forecasting, causal and risk analysis, as well for the compilation and visualization of predictions.
Konstantinos Moutselos; Dimosthenis Kyriazis; Ilias Maglogiannis. A Web Based Modular Environment for Assisting Health Policy Making Utilizing Big Data Analytics. 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) 2018, 1 -5.
AMA StyleKonstantinos Moutselos, Dimosthenis Kyriazis, Ilias Maglogiannis. A Web Based Modular Environment for Assisting Health Policy Making Utilizing Big Data Analytics. 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). 2018; ():1-5.
Chicago/Turabian StyleKonstantinos Moutselos; Dimosthenis Kyriazis; Ilias Maglogiannis. 2018. "A Web Based Modular Environment for Assisting Health Policy Making Utilizing Big Data Analytics." 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) , no. : 1-5.