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2021 Conference article Open Access OPEN

Data Science Workflows for the Cloud/Edge Computing Continuum
Grossi V., Trasarti R., Dazzi P.
Research infrastructures play a crucial role in the development of data science. In fact, the conjunction of data, infrastructures and analytical methods enable multidisciplinary scientists and innovators to extract knowledge and to make the knowledge and experiments reusable by the scientific community, innovators providing an im- pact on science and society. Resources such as data and methods, help domain and data scientists to transform research in an innovation question into a responsible data-driven analytical process. On the other hand, Edge computing is a new computing paradigm that is spreading and developing at an incredible pace. Edge computing is based on the assumption that for certain applications is beneficial to bring the computation as closer as possible to data or end-users. This paper introduces an approach for writing data science workflows targeting research infrastructures that encompass resources located at the edge of the network.Source: FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, Virtual Event, Sweden, 25/06/2021
DOI: 10.1145/3452369.3463820
Project(s): SoBigData-PlusPlus via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Contribution to conference Open Access OPEN

Cloud and Data Federation in MobiDataLab
Carlini E., Dazzi P., Lettich F., Perego R., Renso C.
Today's innovative digital services dealing with the mobility of per- sons and goods produce huge amount of data. To propose advanced and efficient mobility services, the collection and aggregation of new sources of data from various producers are necessary. The overall objective of the MobiDataLab H2020 project is to propose to the mobility stakeholders (transport organising authorities, operators, industry, government and innovators) reproducible methodologies and sustainable tools that foster the development of a data-sharing culture in Europe and beyond. This short paper introduces the key concepts driving the design and definition of the Cloud and Data Federation that stands at the basis of MobiDataLab.Source: FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, Virtual Event, Sweden, 25/06/2021
DOI: 10.1145/3452369.3463819
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Conference article Open Access OPEN

Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision
Korontanis I., Tserpes K., Pateraki M., Blasi L., Violos J., Ferran D., Marin E., Kourtellis N., Coppola M., Carlini E., Ledwo? Z., Tarkowski P., Loven T., González Rozas Y., Kentros M., Dodis M., Dazzi P.
This paper introduces the ACCORDION framework, a novel frame- work for the management of the cloud-edge continuum, targeting the support of NextGen applications with strong QoE requirements. The framework addresses the need for an ever expanding and het- erogeneous pool of edge resources in order to deliver the promise of ubiquitous computing to the NextGen application clients. This endeavor entails two main technical challenges. First, to assure interoperability when incorporating heterogeneous infrastructures in the pool. Second, the management of the largely dynamic pool of edge nodes. The optimization of the delivered QoE stands as the core driver to this work, therefore its monitoring and modelling comprises a core part of the conducted work. The paper discusses the main pillars that support the ACCORDION vision, and provide a description of the three planned use case that are planned to demonstrate ACCORDION capabilities.Source: FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, Virtual Event, Sweden, 25/06/2021
DOI: 10.1145/3452369.3463816
Project(s): ACCORDION via OpenAIRE, ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | ZENODO Open Access


2021 Conference article Open Access OPEN

Collaborative Visual Environments for Evidence Taking in Digital Justice: a Design Concept
Erra U., Capece N., Lettieri N., Fabiani E., Banterle F., Cignoni P., Dazzi P., Aleotti J., Monica R.
In recent years, Spatial Computing (SC) has emerged as a novel paradigm thanks to the advancements in Extended Reality (XR), remote sensing, and artificial intelligence. Computers are nowadays more and more aware of physical environments (i.e. objects shape, size, location and movement) and can use this knowledge to blend technology into reality seamlessly, merge digital and real worlds, and connect users by providing innovative interaction methods. Criminal and civil trials offer an ideal scenario to exploit Spatial Computing. The taking of evidence, indeed, is a complex activity that not only involves several actors (judges, lawyers, clerks, advi- sors) but it often requires accurate topographic surveys of places and objects. Moreover, another essential means of proof, the "judi- cial experiments" - reproductions of real-world events (e.g. a road accident) the judge uses to evaluate if and how a given fact has taken place - could be usefully carried out in virtual environments. In this paper we propose a novel approach for digital justice based on a multi-user, multimodal virtual collaboration platform that enables technology-enhanced acquisition and analysis of trial evidence.Source: FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, Sweden, Virtual Event, 25/06/2021
DOI: 10.1145/3452369.3463820
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Journal article Open Access OPEN

ACCORDION: Edge Computing for NextGen Applications
Dazzi P.
Cloud computing has played a vital role in the digital revolution. Clouds enable consumers and businesses to use applications without dealing with local installations and the associated complexity. However, a big class of applications is currently being blocked because of their dependency on on-site infrastructures or specialised end-devices but also because they are too latency-sensitive or data-dependent to be moved to the public cloud.Source: ERCIM news online edition 125 (2021).
Project(s): ACCORDION via OpenAIRE

See at: ercim-news.ercim.eu Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2021 Conference article Open Access OPEN

Latency Preserving Self-optimizing Placement at the Edge
Ferrucci L., Mordacchini M., Coppola M., Carlini E., Kavalionak H., Dazzi P.
The Internet is experiencing a fast expansion at its edges. The wide availability of heterogeneous resources at the Edge is pivotal in the definition and extension of traditional Cloud solutions toward supporting the development of new applications. However, the dynamic and distributed nature of these resources poses new challenges for the optimization of the behaviour of the system. New decentralized and self-organizing methods are needed to face the needs of the Edge/Cloud scenario and to optimize the exploitation of Edge resources. In this paper we propose a distributed and adaptive solution that reduces the number of replicas of application services that are executed throughout the system, all the while ensuring that the latency constraints of applications are met, thus allowing to also meet the end users' QoS requirements. Experimental evaluations through simulation show the effectiveness of the proposed approach.Source: FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, Virtual Event, Sweden, 25/06/2021
DOI: 10.1145/3452369.3463815
Project(s): ACCORDION via OpenAIRE, ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | ZENODO Open Access


2021 Conference article Restricted

An Osmotic Ecosystem for Data Streaming Applications in Smart Cities
Carlini E., Carnevale L., Coppola M., Dazzi P., Mencagli G., Talia D., Villari M.
Modern multi-tier Cloud-Edge-IoT computational platforms seamlessly map with the distributed and hierarchical nature of smart cities infrastructure. However, classical tools and methodologies to organise data as well as computational and network resources are poorly equipped to tackle the dynamic and heterogeneous environments of smart cities. In this paper we propose a reference architecture that aims to establish a unified approach for the orchestration of modern Cloud-Edge-IoT infrastructures and resources specifically tailored for data streaming applications in smart-cities. Stemming from the proposed reference architecture, we also discuss a series of open challenges, which we believe represent relevant research directions in the nearest future.Source: FRAME'21 - 1st Workshop on Flexible Resource and Application Management on the Edge, online, Sweden, 25/06/2021
DOI: 10.1145/3452369.3463822

See at: CNR ExploRA Restricted


2021 Other Unknown

ACCORDION: Architecture finally defined
Dazzi P.
The H2020 project ACCORDION will very soon deliver the core modules of its novel platform, with a complete release of the integrated platform to follow soon after.Project(s): ACCORDION via OpenAIRE

See at: CNR ExploRA | www.hipeac.net


2021 Journal article Open Access OPEN

CHARITY: Cloud for holography and cross reality
Dazzi P., Corsini M.
ISTI-CNR is involved in the H2020 CHARITY project (Cloud for HologrAphy and Cross RealITY), which started in January 2021. The project aims to leverage the benefits of intelligent, autonomous orchestration of a heterogeneous set of cloud, edge, and network resources, to create a symbiotic relationship between low and high latency infrastructures that will facilitate the needs of emerging applications.Source: ERCIM news online edition 126 (2021): 46–47.

See at: ercim-news.ercim.eu Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

ACCORDION D6.1 - Pilot Plans (I)
Dodis M., Ledwon Z., Tarkowski P., Loven T., Carlini E., Zadtootaghaj S., Dazzi P.
This deliverable provides a first release of the report on the plans to implement and evaluate the scenarios addressed for each project Use Case. The deliverable comprises and reports on tree main subtasks. The first subtask relates to a detailed description of the Use Cases and the scenarios under which evaluation which revolve. The second subtask relates to the description of the pilot prototypes, the evaluation methodology, the experimentation requirements, the modules/functionalities that will be assessed and the metrics for assessing the value of ACCORDION in terms of technology and subjective Quality of Experience. The third subtask specifies the integration plan for the components and technologies of ACCORDION, the design of the infrastructure along with the testbed combinations for pilot execution and evaluation and the execution methodology. Regarding ethical and privacy issues, all necessary measures have been considered as part of conducting the subjective Quality of experience evaluation and are reported.Source: ISTI Project report, ACCORDION, D6.1, 2021
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

ACCORDION D6.2 - Requirements on Quality Assessment I
Zadtootaghaj S., Pateraki M., Ledwon Z., Loven T., Andilla F. D., Kentros M., Dazzi P.
This deliverable reports about the requirements for the development of the Quality of Experience (QoE) model for ACCORDION. The document focuses on a parametric-based monitoring models that can predict the mean opinion scores measuring the impact of impairments introduced by typical networks and compression on the quality experienced by users. The deliverable focuses on the OVR, PLEX and ORBK applications and its main objective is to plan the necessary steps supporting the development of QoE models. The deliverable includes information on the scope of the model, list of influencing factors, range of parameters per use case, model structure, test structure, and information about test setup, test participants, selection of stimuli, considered quality features, test procedure, condition plan and the tool that will be used for the subjective test. This report also provides the plan for future work.Source: ISTI Project report, ACCORDION, D6.2, 2021
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

ACCORDION D3.1 - Edge infrastructure pool framework report (I)
Psomakelis E., Blasi L., Vailati A., Kavalionak H., Korontanis I., Huici F., Dazzi P.
This deliverable provides the first report summarizing the scientific advancements achieved during the project, by the WP3 tasks. The achievements, risks and challenges are presented both at a high level, presenting the outcome of the WP3 tasks (called ACCORDION Minicloud VIM) as a unified component, and at a lower level, presenting the components that comprise the ACCORDION Minicloud VIM. For each component we can clearly identify the progress through the first year of the project, the challenges and problems encountered and the plans for the second year of the project.Source: ISTI Project report, ACCORDION, D3.1, 2021
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

ACCORDION D3.2 - Edge infrastructure pool framework implementation (I)
Korontanis I., Psomakelis V., Kavalionak H., Di Girolamo M., Vailati A., Huici F., Dazzi P.
This document is the accompanying report documenting the software components that are released as part of ACCORDION Deliverable D3.2 and explains how to install and use them. The report includes the description of the first implementation provided by ACCORDION for the Edge infrastructure pool framework (or Edge minicloud), developed by the tasks inside WP3. The implemented minicloud model can include only resources located in a single site and typically owned by a single provider. The developed framework, representing one of the key innovations realized by ACCORDION, puts together the different components that altogether implement the functionalities requested to deploy and operate federated miniclouds inside the ACCORDION environment. It allows to locate and assign edge resources to the client applications of ACCORDION, ensuring they are duly registered, tracked, monitored and that the system is able to react whenever needed to ensure the quality of service to users of client applications. The framework implements the architectural guidelines and requirements set by WP2, will be further integrated with the higher (orchestration) layer components developed by WP4 and, once integrated, will run the Pilot use case applications proposed by WP6.Source: ISTI Project report, ACCORDION, D3.2, 2021
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

ACCORDION D4.1 - Edge/Cloud continuum management framework report (I)
Taleb T., Violos J., Tsanakas S., Pagoulatou T., Theodoropoulos T., Coppola M., Dazzi P., Ferrucci L., Diego F., Marin E., Kourtelis N.
This deliverable provides the first report summarizing the scientific advancements, during the first year of the project, achieved by WP4 Tasks. Work Package (WP) 4, dubbed Edge/Cloud continuum management framework, is organized around 6 Tasks is to develop a framework that efficiently manages the deployment and runtime of ACCORDION applications on the continuum.Source: ISTI Project report, ACCORDION, D4.1, 2021
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

ACCORDION D7.2 - Dissemination & exploitation activities (I)
Tserpes K., Di Girolamo M., Violos J., Lipa B., Paterkai M., Loven T., Tarkowski P., Taleb T., Nadir Z., Kourtelis N., Schmidt S., Ferran D., Dazzi P., Rapisarda B., Coppola M., Vakalellis M.
ACCORDION project aims at unlocking the full potential of a big class of applications that are too latency- sensitive, or data-dependent, to be moved to the public cloud. ACCORDION couples efficient, decentralized and AI-based solutions for cloud and edge resource federation with novel approaches for application definition management and generation at runtime. This deliverable provides a broad overview of the communication, dissemination and exploitation activities implemented within the ACCORDION project within the first 18 months of the project and a detailed market analysis. A detailed exploitation strategy for the project, as well as exploitation plans for individual partners, was presented in the previous deliverable D7.1. Based on those plans, in this deliverable we carry out an evaluation of the ACCORDION project's dissemination and exploitation activities made so far.Source: ISTI Project report, ACCORDION, D7.2, 2021
Project(s): ACCORDION via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Conference article Restricted

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence
Bacco M., Carlini E., Cassarà P., Coppola M., Dazzi P., Gotta A.
This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual and physical resources spanning the edge-cloud continuum. TEACHING puts forward a human-centred vision leveraging the physiological, emotional, and cognitive state of the users as a driver for the adaptation and optimization of the autonomous applications. It does so by building a distributed, embedded and federated learning system complemented by methods and tools to enforce its dependability, security and privacy preservation. The paper discusses the main concepts of the TEACHING approach and singles out the main AI-related research challenges associated with it. Further, we provide a discussion of the design choices for the TEACHING system to tackle the aforementioned challenges.Source: IEEE COINS 2021: IEEE International Conference on Omni-layer Intelligent systems, Online conference, 23-26/08/2021
Project(s): TEACHING via OpenAIRE

See at: CNR ExploRA Restricted


2021 Conference article Open Access OPEN

Impact of network topology on the convergence of decentralized federated learning systems
Kavalionak H., Carlini E., Dazzi P., Ferrucci L., Mordacchini M., Coppola M.
Federated learning is a popular framework that enables harvesting edge resources' computational power to train a machine learning model distributively. However, it is not always feasible or profitable to have a centralized server that controls and synchronizes the training process. In this paper, we consider the problem of training a machine learning model over a network of nodes in a fully decentralized fashion. In particular, we look for empirical evidence on how sensitive is the training process for various network characteristics and communication parameters. We present the outcome of several simulations conducted with different network topologies, datasets, and machine learning models.Source: ISCC 2021 - 26th IEEE Symposium on Computers and Communications, Athens, Greece, 05-08/09/2021
Project(s): TEACHING via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Conference article Restricted

Dependable integration concepts for human-centric AI-based systems
Macher G., Akarmazyan S., Armengaud E., Bacciu D., Calandra C., Danzinger H., Dazzi P., Davalas C., De Gennaro M. C., Dimitriou A., Dobaj J., Dzambic M., Giraudi L., Girbal S., Michail D., Peroglio R., Potenza R., Pourdanesh F., Seidl M., Sardianos C., Tserpes K., Valtl J., Varlamis I., Veledar O.
The rising demand for adaptive, cloud-based and AI-based systems is calling for an upgrade of the associated dependability con- cepts. That demands instantiation of dependability-orientated processes and methods to cover the whole life cycle. However, a common solution is not in sight yet That is especially evident for continuously learning AI and/or dynamic runtime-based approaches. This work focuses on engi- neering methods and design patterns that support the development of dependable AI-based autonomous systems. The emphasis on the human- centric aspect leverages users' physiological, emotional, and cognitive state for the adaptation and optimisation of autonomous applications. We present the related body of knowledge of the TEACHING project and several automotive domain regulation activities and industrial work- ing groups. We also consider the dependable architectural concepts and their applicability to different scenarios to ensure the dependability of evolving AI-based Cyber-Physical Systems of Systems (CPSoS) in the automotive domain. The paper shines the light on potential paths for dependable integration of AI-based systems into the automotive domain through identified analysis methods and targets.Source: DECSoS 2021 - 16th International ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems, pp. 11–23, York, UK, 07/09/2021
DOI: 10.1007/978-3-030-83906-2_1

See at: link.springer.com Restricted | CNR ExploRA Restricted


2020 Contribution to journal Restricted

Special Issue on High Performance Services Computing and Internet Technologies
Tserpes K., Dazzi P., Carlini E., Coppola M., Zissis D.
Source: Future generation computer systems 109 (2020): 642–643. doi:10.1016/j.future.2020.04.017
DOI: 10.1016/j.future.2020.04.017

See at: Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | CNR ExploRA Restricted | www.sciencedirect.com Restricted


2020 Journal article Restricted

Scalable decentralized indexing and querying of multi-streams in the fog
Dazzi P., Mordacchini M.
NOA-AID (Network Overlays for Adaptive information Aggregation, Indexing and Discovery on the fog) is an approach for decentralized indexing, aggregation and discovery of data belonging to streams. It is organized on two network layers. The upper layer is in charge of delivering an information discovery approach by providing a distributed index structure. The lower layer is devoted to resource aggregation based on epidemic protocols designed for highly dynamic environment, well suited to stream-oriented scenarios. It defines a flexible approach to express queries targeting highly heterogeneous data, as well as a self-organizing dynamic system allowing the optimal resolution of queries on the most suitable stream producers. The paper also presents a theoretical study and discusses the costs related to information management operations; it also gives an empirical validation of findings. Finally, it reports an extended experimental evaluation that demonstrated the ability of NOA-AID to be effective and efficient for retrieving information extracted from streams in highly-dynamic and distributed processing architectures.Source: Journal of grid computing (2020). doi:10.1007/s10723-020-09521-3
DOI: 10.1007/s10723-020-09521-3
Project(s): ACCORDION via OpenAIRE

See at: Journal of Grid Computing Restricted | Journal of Grid Computing Restricted | Journal of Grid Computing Restricted | Journal of Grid Computing Restricted | Journal of Grid Computing Restricted | CNR ExploRA Restricted