Secure Cloud - Secure Big Data Processing in Untrusted CloudsEUBrasilCloudFORUM .
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
SecureCloud | Andrey Brito, Federal University of Campina Grande, Brazil
Funded jointly by the European Commission (EC) and the Ministry of Science, Technology and Innovation; Portuguese: Ministério da Ciência, Tecnologia e Inovação (MCTI) of Brazil, the EUBrasilCloudFORUM project supports EU-BR collaborative projects in the collection and promotion of their results and activities. The results will be used to draft a research Roadmap on cloud computing, identifying collaboration needs and opportunities between Europe and Brazil for the European Commission and to MCTI, thus contributing to the definition of future cooperation priorities between the two regions.
The main goal of the SecureCloud project is to enable novel big-data applications that can use sensitive data in the cloud without compromising data security and privacy.
This document discusses challenges in system monitoring and data acquisition. It describes the requirements for a modular distributed monitoring system including time synchronization, embedded processing, notifications, and data storage. A typical system uses NI CompactRIO platforms with FPGA and real-time processors to acquire signals, perform processing, and assure reliable operation. Data is stored locally and on network attached storage using various file formats like binary, XML and databases that involve tradeoffs between size, read/write speeds, and organization.
Secure Cloud - Secure Big Data Processing in Untrusted CloudsEUBrasilCloudFORUM .
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
SecureCloud | Andrey Brito, Federal University of Campina Grande, Brazil
Funded jointly by the European Commission (EC) and the Ministry of Science, Technology and Innovation; Portuguese: Ministério da Ciência, Tecnologia e Inovação (MCTI) of Brazil, the EUBrasilCloudFORUM project supports EU-BR collaborative projects in the collection and promotion of their results and activities. The results will be used to draft a research Roadmap on cloud computing, identifying collaboration needs and opportunities between Europe and Brazil for the European Commission and to MCTI, thus contributing to the definition of future cooperation priorities between the two regions.
The main goal of the SecureCloud project is to enable novel big-data applications that can use sensitive data in the cloud without compromising data security and privacy.
This document discusses challenges in system monitoring and data acquisition. It describes the requirements for a modular distributed monitoring system including time synchronization, embedded processing, notifications, and data storage. A typical system uses NI CompactRIO platforms with FPGA and real-time processors to acquire signals, perform processing, and assure reliable operation. Data is stored locally and on network attached storage using various file formats like binary, XML and databases that involve tradeoffs between size, read/write speeds, and organization.
The document summarizes a joint procurement project called Helix Nebula Science Cloud (HNSciCloud) funded by the European Union Horizon 2020 program. A group of research organizations will procure cloud computing services through a multi-phase competitive tender to create a common cloud platform for the European research community. The procurement aims to develop innovative cloud services integrated with the procurers' resources to support scientific workloads and datasets in the petabyte range.
EUBrasilCloudFORUM Research Roadmap on Cloud Computing, including securityATMOSPHERE .
The document outlines a research roadmap on cloud computing between the EU and Brazil. It discusses establishing a forum to enable a structured dialogue on policy, research, and innovation related to cloud computing. The objectives are to define a common strategy and approach for research and innovation in cloud computing aligned with both regions' priorities. It identifies key scenarios, drivers, gaps, and opportunities for collaboration, including on security frameworks, standards, software applications, and more. The roadmap's goal is to propose areas for future joint research calls between the EU and Brazil.
This document describes a pilot project that uses big data techniques for system monitoring in energy production units. The pilot collects sensor data from 3 wind turbines at high sampling rates, generating around 14GB of data per hour. This data is analyzed to monitor operational status, support predictive maintenance, and enable power production prognostics. The goal is to help renewable energy companies better manage their fleets of distributed energy systems through big data analytics.
This document summarizes the DataBio project, which received funding from the European Union's Horizon 2020 program. The project aims to boost bioeconomy industries by showing how big data technologies can increase performance and productivity in raw material production from agriculture, forestry, and fisheries. It will build a platform for handling distributed, heterogeneous data from these domains and provide analytics capabilities. The platform will be tested through pilots focused on precision agriculture, horticulture, arable farming, and subsidies/insurance. The project involves 48 partners, including several that provide relevant technologies and solutions.
This document outlines the agenda for the Big Data Europe 2nd Thematic Workshop on big data in the energy sector. The workshop will include presentations on smart grids, energy efficiency, and the Big Data Europe platform. Attendees will discuss use cases for applying the Big Data Europe platform to challenges around system monitoring, energy efficiency, and data management in the energy domain. The goals are to present data challenges in smart grids and energy efficiency, showcase the Big Data Europe platform and pilot case, and identify potential new applications of the platform.
Luigi Selmi - The Big Data Integrator PlatformBigData_Europe
The document discusses the SC4 pilot project, which aims to build a scalable and fault-tolerant platform for processing large datasets using open source frameworks. The platform utilizes a microservices architecture and processes real-time floating car data for tasks like map matching and short-term traffic forecasting using algorithms like feedforward artificial neural networks. It also discusses how semantic technologies from projects like SANSA-Stack and LinkedGeoData could enable additional use cases for the SC4 platform.
The goals, the Consortium the community, the impact and the objectives of EUBraBigSEA.
EUBraBIGSEA (Europe-Brazil Collaboration of Big Data, Scientific Research Through Cloud Centric Applications) has as major goal the creation of a sustainable international cooperation activity, between Europe and Brazil, in the area of cloud services for Big Data analytics.
DEEP-Hybrid-DataCloud is a Horizon 2020 project that aims to promote intensive computing services for analyzing large datasets through a hybrid cloud approach. It received funding from the European Union to develop specialized computing infrastructure and integrate intensive computing services. The project involves 9 academic and 1 industrial partners across 6 European countries. It will define a "DEEP as a Service" solution and evolve existing INDIGO components to better support intensive computing workloads and specialized hardware.
The document discusses two case studies, NRG4Cast and SUNSEED, that use big data approaches for energy efficiency. NRG4Cast monitors, analyzes, predicts, and optimizes energy usage in districts, buildings, and households. It integrates different data sources to model energy consumption and production. SUNSEED develops advanced sensor networks and analytics to provide monitoring, forecasting, and control of smart energy distribution grids. Both projects address technical challenges around data integration from various sources and aim to reduce energy costs and environmental impact through optimized energy management.
Building Energy Management Systems (BEMS) are integrated software, hardware, and service systems that monitor, automate, and control building systems like HVAC, lighting, and thermostats to increase energy efficiency and comfort. BEMS gather data from sensors and use it to control operations in real time to meet objectives like maintaining indoor climate, safety, and cost efficiency. The BEMS market is growing as the need increases to collect and interpret large amounts of building data. BEMS can reduce energy costs by 15-20% and improve indoor environments through automated control and monitoring of building operations.
Apache Big_Data Europe event: "Integrators at work! Real-life applications of...BigData_Europe
The document describes three pilots using the Big Data Europe components: 1) Estimating real-time traffic conditions in Thessaloniki using historical traffic data and current measurements from taxis, 2) Discovering previously computed climate model derivatives to avoid repeating long modelling runs and preparing new experiments, 3) Automatically detecting land cover changes by analyzing news, social media, and comparing satellite images over time. It provides high-level overviews and architectures of each pilot application.
FUTEBOL" brings together network experts in Europe and Brazil to create infrastructure for experimental research at the wireless/optical boundary, enabling industry leadership on significant trends in future networks, including virtualization and cell densification.
The document discusses the Concerted Action EPBD IV, which aims to support implementation of the Energy Performance of Buildings Directive (EPBD) and maximize its outcomes. It notes the EPBD requires large amounts of data related to energy efficiency in buildings but could also deliver large datasets at low cost. In particular, energy performance certificates for buildings have great potential for data collection since over a million buildings are assessed annually across Europe. However, gaps remain around combining building data with energy use data and better connecting measured and calculated energy performance.
CALL FOR PAPERS - 12th International Conference on Applications of Graph Theo...pijans
12th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks (GRAPH-HOC - 2020) focuses on the applications of graph theory in different areas of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks. Graph theoretic concepts are applied in several fundamental issues such as connectivity, data gathering, routing, mobility, energy efficiency and topology control. Papers submitted for the conference should focus on a problem that is of both theoretical as well as practical interest in the area of ad hoc networks and sensor networks. This conference will thus provide a platform for researchers from both theoretical and practical domains of ad hoc networks to meet and exchange their ideas.
The document discusses the growing problem of data breaches and the high costs they incur for companies like Yahoo, Equifax, and IBM. It then introduces SecureCloud as a project that aims to address this issue by utilizing Intel SGX to reduce a system's attack surface and provide more security for data and applications in the cloud. The presentation outlines SecureCloud's layered architecture and highlights some of its key results like secure cloud resources, tools, and templates to enable confidential processing of IoT and big data using technologies like Kubernetes and Spark. It also discusses plans to sustain and continue developing the project's work through products, services, research projects, and open source contributions.
Virtual research environments for implementing long tail open scienceBlue BRIDGE
This document discusses virtual research environments (VREs) for supporting "long-tail open science". It defines VREs as operational environments that dynamically aggregate resources like data, services, and computing/storage for users. VREs aim to support collaborative research, reproducibility, and open sharing of data/findings while providing simplified access. The document outlines how VREs can be created on demand, integrated with applications/services, and used for collaborative experiments and workflows to enable repeatability and reuse of research. Real-world examples of VREs like D4Science are presented.
The document summarizes the EUXDAT project which aims to build a large data analytics infrastructure connecting heterogeneous data sources and expertise to provide analytics tools and services supporting sustainable development goals like agriculture, soil/water protection, and biodiversity. The 3-year project brings together industry, academic, and research partners and will manage data storage, adapt processing tools for HPC and cloud, implement pilots in areas like farming and energy efficiency, and work to ensure long-term sustainability of the infrastructure.
12th International Conference on Applications of Graph Theory in Wireless Ad ...pijans
12th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks (GRAPH-HOC - 2020) focuses on the applications of graph theory in different areas of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks. Graph theoretic concepts are applied in several fundamental issues such as connectivity, data gathering, routing, mobility, energy efficiency and topology control. Papers submitted for the conference should focus on a problem that is of both theoretical as well as practical interest in the area of ad hoc networks and sensor networks. This conference will thus provide a platform for researchers from both theoretical and practical domains of ad hoc networks to meet and exchange their ideas.
EUBra-BIGSEA is a European-Brazilian consortium that developed a cloud-centric big data scientific research platform comprising a quality of service data analytics platform with six layers and 15 new components integrated with 5 existing components. The platform supports defining and running highly scalable and privacy-aware data analytic applications on cloud infrastructures. It was demonstrated by implementing applications for analyzing public transportation data.
Trust is built based on guarantees, previous successful experiences, transparency and accountability. Yet, to-date, the technologies and frameworks necessary to raise confidence on cloud and Big Data applications is still lacking. It is crucial to create this confidence to encourage different business sectors to take up this technology and ultimately improve business efficiency and competitiveness. The ATMOSPHERE project focuses on this issue.
ATMOSPHERE will provide a solution to assess trustworthiness of cloud applications dealing with data and support the development of more trustworthy cloud applications.
Goal
Provide a solution to assess trustworthiness of cloud applications dealing with data and support the development of more trustworthy cloud applications
The document summarizes a joint procurement project called Helix Nebula Science Cloud (HNSciCloud) funded by the European Union Horizon 2020 program. A group of research organizations will procure cloud computing services through a multi-phase competitive tender to create a common cloud platform for the European research community. The procurement aims to develop innovative cloud services integrated with the procurers' resources to support scientific workloads and datasets in the petabyte range.
EUBrasilCloudFORUM Research Roadmap on Cloud Computing, including securityATMOSPHERE .
The document outlines a research roadmap on cloud computing between the EU and Brazil. It discusses establishing a forum to enable a structured dialogue on policy, research, and innovation related to cloud computing. The objectives are to define a common strategy and approach for research and innovation in cloud computing aligned with both regions' priorities. It identifies key scenarios, drivers, gaps, and opportunities for collaboration, including on security frameworks, standards, software applications, and more. The roadmap's goal is to propose areas for future joint research calls between the EU and Brazil.
This document describes a pilot project that uses big data techniques for system monitoring in energy production units. The pilot collects sensor data from 3 wind turbines at high sampling rates, generating around 14GB of data per hour. This data is analyzed to monitor operational status, support predictive maintenance, and enable power production prognostics. The goal is to help renewable energy companies better manage their fleets of distributed energy systems through big data analytics.
This document summarizes the DataBio project, which received funding from the European Union's Horizon 2020 program. The project aims to boost bioeconomy industries by showing how big data technologies can increase performance and productivity in raw material production from agriculture, forestry, and fisheries. It will build a platform for handling distributed, heterogeneous data from these domains and provide analytics capabilities. The platform will be tested through pilots focused on precision agriculture, horticulture, arable farming, and subsidies/insurance. The project involves 48 partners, including several that provide relevant technologies and solutions.
This document outlines the agenda for the Big Data Europe 2nd Thematic Workshop on big data in the energy sector. The workshop will include presentations on smart grids, energy efficiency, and the Big Data Europe platform. Attendees will discuss use cases for applying the Big Data Europe platform to challenges around system monitoring, energy efficiency, and data management in the energy domain. The goals are to present data challenges in smart grids and energy efficiency, showcase the Big Data Europe platform and pilot case, and identify potential new applications of the platform.
Luigi Selmi - The Big Data Integrator PlatformBigData_Europe
The document discusses the SC4 pilot project, which aims to build a scalable and fault-tolerant platform for processing large datasets using open source frameworks. The platform utilizes a microservices architecture and processes real-time floating car data for tasks like map matching and short-term traffic forecasting using algorithms like feedforward artificial neural networks. It also discusses how semantic technologies from projects like SANSA-Stack and LinkedGeoData could enable additional use cases for the SC4 platform.
The goals, the Consortium the community, the impact and the objectives of EUBraBigSEA.
EUBraBIGSEA (Europe-Brazil Collaboration of Big Data, Scientific Research Through Cloud Centric Applications) has as major goal the creation of a sustainable international cooperation activity, between Europe and Brazil, in the area of cloud services for Big Data analytics.
DEEP-Hybrid-DataCloud is a Horizon 2020 project that aims to promote intensive computing services for analyzing large datasets through a hybrid cloud approach. It received funding from the European Union to develop specialized computing infrastructure and integrate intensive computing services. The project involves 9 academic and 1 industrial partners across 6 European countries. It will define a "DEEP as a Service" solution and evolve existing INDIGO components to better support intensive computing workloads and specialized hardware.
The document discusses two case studies, NRG4Cast and SUNSEED, that use big data approaches for energy efficiency. NRG4Cast monitors, analyzes, predicts, and optimizes energy usage in districts, buildings, and households. It integrates different data sources to model energy consumption and production. SUNSEED develops advanced sensor networks and analytics to provide monitoring, forecasting, and control of smart energy distribution grids. Both projects address technical challenges around data integration from various sources and aim to reduce energy costs and environmental impact through optimized energy management.
Building Energy Management Systems (BEMS) are integrated software, hardware, and service systems that monitor, automate, and control building systems like HVAC, lighting, and thermostats to increase energy efficiency and comfort. BEMS gather data from sensors and use it to control operations in real time to meet objectives like maintaining indoor climate, safety, and cost efficiency. The BEMS market is growing as the need increases to collect and interpret large amounts of building data. BEMS can reduce energy costs by 15-20% and improve indoor environments through automated control and monitoring of building operations.
Apache Big_Data Europe event: "Integrators at work! Real-life applications of...BigData_Europe
The document describes three pilots using the Big Data Europe components: 1) Estimating real-time traffic conditions in Thessaloniki using historical traffic data and current measurements from taxis, 2) Discovering previously computed climate model derivatives to avoid repeating long modelling runs and preparing new experiments, 3) Automatically detecting land cover changes by analyzing news, social media, and comparing satellite images over time. It provides high-level overviews and architectures of each pilot application.
FUTEBOL" brings together network experts in Europe and Brazil to create infrastructure for experimental research at the wireless/optical boundary, enabling industry leadership on significant trends in future networks, including virtualization and cell densification.
The document discusses the Concerted Action EPBD IV, which aims to support implementation of the Energy Performance of Buildings Directive (EPBD) and maximize its outcomes. It notes the EPBD requires large amounts of data related to energy efficiency in buildings but could also deliver large datasets at low cost. In particular, energy performance certificates for buildings have great potential for data collection since over a million buildings are assessed annually across Europe. However, gaps remain around combining building data with energy use data and better connecting measured and calculated energy performance.
CALL FOR PAPERS - 12th International Conference on Applications of Graph Theo...pijans
12th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks (GRAPH-HOC - 2020) focuses on the applications of graph theory in different areas of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks. Graph theoretic concepts are applied in several fundamental issues such as connectivity, data gathering, routing, mobility, energy efficiency and topology control. Papers submitted for the conference should focus on a problem that is of both theoretical as well as practical interest in the area of ad hoc networks and sensor networks. This conference will thus provide a platform for researchers from both theoretical and practical domains of ad hoc networks to meet and exchange their ideas.
The document discusses the growing problem of data breaches and the high costs they incur for companies like Yahoo, Equifax, and IBM. It then introduces SecureCloud as a project that aims to address this issue by utilizing Intel SGX to reduce a system's attack surface and provide more security for data and applications in the cloud. The presentation outlines SecureCloud's layered architecture and highlights some of its key results like secure cloud resources, tools, and templates to enable confidential processing of IoT and big data using technologies like Kubernetes and Spark. It also discusses plans to sustain and continue developing the project's work through products, services, research projects, and open source contributions.
Virtual research environments for implementing long tail open scienceBlue BRIDGE
This document discusses virtual research environments (VREs) for supporting "long-tail open science". It defines VREs as operational environments that dynamically aggregate resources like data, services, and computing/storage for users. VREs aim to support collaborative research, reproducibility, and open sharing of data/findings while providing simplified access. The document outlines how VREs can be created on demand, integrated with applications/services, and used for collaborative experiments and workflows to enable repeatability and reuse of research. Real-world examples of VREs like D4Science are presented.
The document summarizes the EUXDAT project which aims to build a large data analytics infrastructure connecting heterogeneous data sources and expertise to provide analytics tools and services supporting sustainable development goals like agriculture, soil/water protection, and biodiversity. The 3-year project brings together industry, academic, and research partners and will manage data storage, adapt processing tools for HPC and cloud, implement pilots in areas like farming and energy efficiency, and work to ensure long-term sustainability of the infrastructure.
12th International Conference on Applications of Graph Theory in Wireless Ad ...pijans
12th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks (GRAPH-HOC - 2020) focuses on the applications of graph theory in different areas of wireless ad hoc networks such as Mobile Ad hoc Networks (MANETs), Vehicular Ad hoc Networks (VANETs) and sensor networks. Graph theoretic concepts are applied in several fundamental issues such as connectivity, data gathering, routing, mobility, energy efficiency and topology control. Papers submitted for the conference should focus on a problem that is of both theoretical as well as practical interest in the area of ad hoc networks and sensor networks. This conference will thus provide a platform for researchers from both theoretical and practical domains of ad hoc networks to meet and exchange their ideas.
EUBra-BIGSEA is a European-Brazilian consortium that developed a cloud-centric big data scientific research platform comprising a quality of service data analytics platform with six layers and 15 new components integrated with 5 existing components. The platform supports defining and running highly scalable and privacy-aware data analytic applications on cloud infrastructures. It was demonstrated by implementing applications for analyzing public transportation data.
Trust is built based on guarantees, previous successful experiences, transparency and accountability. Yet, to-date, the technologies and frameworks necessary to raise confidence on cloud and Big Data applications is still lacking. It is crucial to create this confidence to encourage different business sectors to take up this technology and ultimately improve business efficiency and competitiveness. The ATMOSPHERE project focuses on this issue.
ATMOSPHERE will provide a solution to assess trustworthiness of cloud applications dealing with data and support the development of more trustworthy cloud applications.
Goal
Provide a solution to assess trustworthiness of cloud applications dealing with data and support the development of more trustworthy cloud applications
This session will bring you the opportunity to discover how FIWARE will make Data Spaces happen! Contents will give all the details and insights around the path taken in this strategic area. An introduction will provide the overall vision on Data Spaces, the status of the Data Spaces Business Alliance (DSBA) Technical Convergence activities, and initial considerations around the concept of FIWARE Data Space Connector, the first dataspace connector that will comply with the Data Space Business Alliance recommendations.
Different coordination and support actions of the Digital Europe Programme (DEP) in the Data Spaces domain will also be presented, as well as initial outputs from these projects. It will provide insights about the opportunities to influence and drive decisions within this important program of the European Union.
A series of presentations will deep dive into technical details about the minimum viable framework recommended in DSBA: the standards proposed and how they integrate together. Concretely, presentations will focus on the pillars linked to decentralized Trust, Identity & Access Management and the pillar for Data Value creation covering aspects for Monetization and Marketplace services.
Several presentations will tackle elements that open the discussion around the evolution of Data Spaces, as well as components expected to be integrated in the concept of Data Space Connector. They will be followed by use cases that provide insight on what is being developed and testimonies on how technologies based on Data Spaces concepts previously displayed are being used in real life scenarios.
Cloud Expo 2015: DICE: Developing Data-Intensive Cloud Applications with Iter...DICE-H2020
This document summarizes the DICE Horizon 2020 project, which aims to develop methods and tools for quality-aware development of data-intensive cloud applications. The project has a budget of 4 million euros over 3 years with 9 academic and industry partners across Europe. It addresses challenges in ensuring software quality for big data applications involving technologies like Hadoop, Spark, and cloud infrastructure. The DICE project will develop a UML profile and quality-aware modeling approach, as well as analysis, simulation, and verification tools to help reason about quality aspects during development. It will also produce an integrated development environment and deployment/delivery tools to support the overall methodology.
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP Project
This presentation was delivered by Johan Forsman (Tieto), Jörg Domaschka (UULM) and Paolo Casari (IMDEA Networks) at the ETSI Experiential Network Intelligence (ENI) Meeting in Warsaw, Poland, on April 12th, 2019. ETSI Experiential Networked Industry Specification Group (ENI ISG) work on defining a Cognitive Network Management architecture using Artificial Intelligence (AI) techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. The intention is that the use of Artificial Intelligence techniques in the network management system should solve some of the problems of future network deployment and operations. For more information, see https://www.etsi.org/technologies/experiential-networked-intelligence.
Juanjo Hierro - Introduction and overview of FIWARE Vision on Data Spaces.pdfFIWARE
This session will bring you the opportunity to discover how FIWARE will make Data Spaces happen! Contents will give all the details and insights around the path taken in this strategic area. An introduction will provide the overall vision on Data Spaces, the status of the Data Spaces Business Alliance (DSBA) Technical Convergence activities, and initial considerations around the concept of FIWARE Data Space Connector, the first dataspace connector that will comply with the Data Space Business Alliance recommendations.
Different coordination and support actions of the Digital Europe Programme (DEP) in the Data Spaces domain will also be presented, as well as initial outputs from these projects. It will provide insights about the opportunities to influence and drive decisions within this important program of the European Union.
A series of presentations will deep dive into technical details about the minimum viable framework recommended in DSBA: the standards proposed and how they integrate together. Concretely, presentations will focus on the pillars linked to decentralized Trust, Identity & Access Management and the pillar for Data Value creation covering aspects for Monetization and Marketplace services.
Several presentations will tackle elements that open the discussion around the evolution of Data Spaces, as well as components expected to be integrated in the concept of Data Space Connector. They will be followed by use cases that provide insight on what is being developed and testimonies on how technologies based on Data Spaces concepts previously displayed are being used in real life scenarios.
Virtual BenchLearning - I-BiDaaS - Industrial-Driven Big Data as a Self-Servi...Big Data Value Association
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
4th International Conference on Cloud, Big Data and IoT (CBIoT 2023)IJMIT JOURNAL
4th International Conference on Cloud, Big Data and IoT (CBIoT 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Cloud, Big Data and IoT.
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...Wolfgang Ksoll
NextGEOSS is a H2020 project that aims to create an open data hub and cloud platform for Earth observation data. It involves 27 partners from 13 countries with a budget of 10 million euros from 2016-2020. The project will develop advanced data discovery tools, enable user feedback, and enhance communities through tailored solutions. It will follow an open, inclusive, and agile development approach aligned with EU open data policies. Various pilot projects will use the data and platform for applications in agriculture, biodiversity, disaster risk reduction, and other areas. The data will come from Copernicus satellites, in situ sources, and other open data providers. Metadata will be harvested and standardized. Lessons learned so far include the need for scalable architectures
Dynamic IoT data, protocol, and middleware interoperability with resource sli...Hong-Linh Truong
The document discusses interoperability issues in IoT cloud systems. It identifies three types of interoperability challenges: 1) among devices and platforms within an IoT system, 2) in accessing data from multiple IoT platforms, and 3) across IoT and cloud sides involving multiple platforms. Common issues include differences in data formats, protocols, APIs, and semantics. Existing efforts aim to solve specific aspects through standards, bridges and centralized data hubs, but interoperability remains complex given the diversity of IoT deployments. A more dynamic approach using virtualized microservices is needed to improve extensibility and runtime reconfiguration for interoperability.
BDE-BDVA Webinar: BigDataEurope Overview & Synergies with BDVABigData_Europe
The document discusses BigDataEurope, a H2020 CSA project that aims to lower barriers for using big data technologies and demonstrate societal value through 7 pilot use cases. It describes the Integrator Platform, which provides a flexible, generic platform for deploying big data value chains using open source solutions. The platform has been instantiated 7 times for the pilot uses cases. It also discusses synergies between BigDataEurope and the Big Data Value Association (BDVA) in advancing big data technical priorities.
SC2 Workshop 1: Big Data Europe (BDE) - Project Overview & Food WorkshopBigData_Europe
BigDataEurope aims to maximize the societal value of big data by addressing challenges in health, food security, energy, transport, climate action, and secure societies. It develops a big data aggregator platform to integrate diverse data sources and apply analytics to help solve societal problems. The platform follows the Lambda architecture to handle both batch and real-time processing while retaining semantic meaning from data. Current activities include workshops and interest groups in specific societal challenge domains.
Call for Paper - 4th International Conference on Cloud, Big Data and Web Serv...ijgca
4th International Conference on Cloud, Big Data and Web Services (CBW 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and Web services. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and web services.
Call for Papers - International Conference IOT, Blockchain and Cryptography (...ijgca
The 4th International Conference on Cloud, Big Data and Web Services (CBW 2023) will take place from March 25-26, 2023 in Sydney, Australia. The conference aims to facilitate the exchange of innovative ideas and research related to cloud computing, big data, and web services. Authors are invited to submit papers by February 18, 2023 on topics including cloud platforms, big data analytics, and web service models and architectures. Selected papers will be published in related journals.
PAPER SUBMISSION START NOW-4th International Conference on Cloud, Big Data an...IJDKP
4th International Conference on Cloud, Big Data and IoT (CBIoT 2023)
July 29 ~ 30, 2023, London, United Kingdom
Webpage URL:
https://itcse2023.org/cbiot/index
Submission Deadline: July 01, 2023
Contact us:
Here's where you can reach us: cbiot@itcse2023.org (or) cbiot.conf@yahoo.com
Submission URL:
https://itcse2023.org/submission/index.php
Overall System Architecture of Big Data of Wind Power Based on IoT_20161...元 黄
1. The document discusses the overall architecture of a big data platform for wind power based on IoT. It aims to address challenges in managing distributed energy assets through standardized data acquisition, transmission, and analysis of massive data volumes.
2. The proposed project would build a big data platform integrating IoT, big data, and cloud technologies to enable accurate prediction, diagnosis, and maintenance of over 11,000 wind turbines across multiple manufacturers.
3. The platform architecture includes sections for data acquisition from various sensor sources, secure data transmission, a Hadoop-based big data processing platform, and applications for business intelligence, asset management, and predictive analytics.
ATMOSPHERE was invited to be a speaker at Think Milano event, on 6th June from 14.30 to 17.30, to join a panel discussion called “L’infrastruttura cloud ready protagonista del future” on how cloud infrastructures are important for different market sectors.
Water is vital for ensuring food security to the world’s population, and agriculture is the biggest consumer amounting for 70% of freshwater. The water wastages are caused mainly by leakages in distribution and irrigation systems, and in the field application methods.
The most common technique, surface irrigation wastes a high percentage of the water by wetting areas where no plants benefit from it. Localized irrigation can use water more efficiently and effectively, avoiding both under-irrigation and over-irrigation. However, in an attempt to avoid under-irrigation, farmers feed more water than is needed resulting not only to productivity losses, but also water is wasted. Therefore, technology should be developed and deployed for sensing the level of water needed by the plantation and for flowing the water to places where and when needed.
The SWAMP project addresses these issues by use of the Internet of Things (IoT), data analytics, autonomous devices and other related technologies.
The document summarizes a concertation meeting held on April 18th, 2018 in Brasilia, Brazil. It discusses the EUBrasilCloudForum, which aims to facilitate EU-Brazil collaboration on cloud computing research and innovation. The agenda for the meeting is presented, including an overview of the forum and final research roadmap. Projects from EU-Brazil ICT collaboration are also presented, and there is an open discussion. The document outlines the forum's vision, consortium, objectives, community engagement activities, and advisory board members from academia, industry and government in Europe and Brazil. It also summarizes the EU-Brazil research roadmap and action plan developed in cloud computing, including key scenarios, drivers, gaps,
The NECOS project addresses the limitations of current cloud computing infrastructures to respond to the demand of new services, as presented in two use-cases, that will drive the whole execution of the project.
The NECOS platform will be based on state of the art open software platforms, which will be carefully selected, rather than start from scratch. This baseline platform will be enhanced with the management and orchestration algorithms and the APIs that will constitute the research activity of the project. Finally, the NECOS platform will be validated, in the context of the two proposed use cases, using the 5TONIC and FIBRE testing frameworks.
OCARIoT will develop an IoT-based personalised coaching solution guiding children to adopt healthy eating and physical activity behaviour. The IoT network will allow observing child activity patterns of daily living, health evolution, physiological & behavioural parameters and environmental data. All this information combined with medical patterns will allows OCARIoT to provide a customised obesity coaching plan while enabling children to remain active and engaged in their well-being and healthy habits management.
The proposed solution will be able to empower children (and also educational staff and families) in taking control of their health by collecting real-time information about nutrition and physical activity, and interconnecting doctors and children (including parents and tutors) in order to adapt the individual obesity coaching plan. OCARIoT will demonstrate and validate its results on three specific pilot sites in Spain, Greece and Brazil.
The OCARIoT consortium will ensure children’s rights and data privacy, security and confidentiality through an Ethics Board composed by healthcare professionals and children representatives from different EU and Brazil organisations.
n all the dialects where the Industry 4.0 language is spoken, Industrial Internet of Things, Additive Manufacturing and Robotics from the technology side and Mass Customization, Product-Service Systems and Sustainable Manufacturing from the business side, represent key cornerstones and top priority challenges.
FASTEN will demonstrate an open and standardized framework to produce and deliver tailored-designed products, capable to run autonomously and deliver fast and low-cost additive manufactured products.
5G is considered the next revolution in communication. Several researches focus efforts in tackling challenges for enhancing data rate, reducing latency, improving connectivity and reducing consumption. However there is one relevant mode that has not been strongly supported by the research efforts, which is Internet access for remote areas.
As of today, we estimate 1.4 billion of unconnected people live in areas where mobile broadband coverage is not available, showing the immense impact of a network that can deliver high quality Internet access in remote areas. It is clear that a sustainable rural service will not be available unless network deployments and business strategies are specifically tailored to this scenario.
The goal of 5G-RANGE is surpass the limitations of current technologies, making the coverage of low populate areas a feasible business. Clearly, this new 5G mode needs to be flexible to comply with different applications and services.
The document provides an overview of the HPC4E project, which sparked new Brazil-EU partnerships and collaborations in high performance computing for energy applications. It summarizes the key contributions and outcomes of each work package. Work Package 2 developed disruptive exascale computer architectures and tested HPC prototypes. Work Package 3 contributed innovative tools for exascale simulations in energy. Work Package 4 improved atmospheric modeling for wind energy forecasting. Work Package 5 characterized biogas kinetics and combustion. Work Package 6 reduced costs and improved quality for seismic imaging in geophysics. Overall the project achieved its scientific and management goals through contributions to industry and research.
O documento descreve uma plataforma em nuvem que fornece conteúdo digital exclusivo dentro de lojas físicas para permitir interações físico-digitais e fornecer informações aos clientes. As lojas pagam assinaturas mensais para acessar os dados dos clientes, o que aumenta o tempo de permanência e as vendas. O mercado de serviços baseados em localização deve crescer significativamente nos próximos anos, principalmente no varejo.
O documento descreve os serviços de nuvem privada e gerenciamento de múltiplas nuvens oferecidos pela Algar Tech, incluindo gerenciamento de recursos, controle de gastos, segurança e backup em nuvem. A Algar Tech também oferece serviços de gestão e otimização da infraestrutura de TI para redução de custos.
MyMeedia is a SaaS service that simplifies the creation of social media hubs by allowing users to collect social media, web feeds, photos, documents and other media files in one place. The content is automatically analyzed and indexed so that insights can be easily discovered. Users can then effortlessly publish multimedia content alongside social media in visually engaging collections and stories. The tool was designed for event organizers and destination managers to help engage audiences and tell engaging stories by feeling the buzz around their events or destinations.
The document describes Melodic, a tool that calculates the best multi-cloud options for applications and automatically deploys applications across cloud providers. It avoids vendor lock-in by providing choice and flexibility. Users simply specify their needs and Melodic handles differences between cloud providers and administrative tasks. The document provides an example of Melodic helping CE-Traffic calculate road traffic data across cloud providers at minimal cost.
Lessons learned from the development of FUTEBOL A case of cloud and fog inter...EUBrasilCloudFORUM .
FUTEBOL was a project that aimed to (1) develop research infrastructure and a control framework connecting optical and wireless networks in Europe and Brazil, (2) interconnect different testbeds from various institutions in a federated manner using a single user identity, and (3) expose heterogeneous resources in a standardized way to enable remote experimentation across optical and wireless devices. As a proof of concept, five experiments were created revolving around the convergence of optical and wireless networks.
Presentation by Philippe O.A. Navaux, professor at the Universidade Federal of Rio Grande do Sul and Computer Science Area Director of CAPES at Cloudscape Brazil 2017 & WCN 2017
Laying the foundation for a SIG (Special Interest Group) in Cloud ComputingEUBrasilCloudFORUM .
The document discusses establishing a Special Interest Group (SIG) in Cloud Computing within the Brazilian Computer Society (SBC). It summarizes the work of previous EU-Brazil collaborative projects in cloud computing since 2010 and the benefits of creating a SIG. A panel discussion at the SBC conference will gather opinions on procedures for creating a SIG and how it could foster future cooperation between European and Brazilian researchers and industry in cloud computing.
Enabling Privacy and Security for Data Outsourced to the CloudEUBrasilCloudFORUM .
Presentation by Nicola Franchetto, Senior Associate of ICT Legal Consulting & member of the DPSP European Cluster, at Cloudscape Brazil 2017 & WCN 2017
Presentation by Bruno Schulze, Senior Researcher / Professor at Laboratório Nacional de Computação Científica (LNCC) at Cloudscape Brazil 2017 & WCN 2017
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
2. Session 1: EU-Brazil ICT
collaboration today
Wagner Meira Jr., Universidade Federal de Minas Gerais
Project acronym
Europe – Brazil Collaboration of BIG Data Scientific Research
through Cloud-Centric Applications
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3. EUBra-BIGSEA objective & focus
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The development of advanced QoS cloud to support Big
Data
The development of innovative Big Data services for
capturing, federating and annotating large volumes of
data
The use of innovative and efficient technologies for
guaranteeing the fulfilment of the security and privacy
policies
The transfer of this technology to a real user scenario
with high social and business impact, and of high
interest for both EU and BR
The dissemination and subsequent uptake of the
results and identification of business opportunities
4. EUBra-BIGSEA expected results
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A BigData Analytics platform
A QoS layer for IaaS, agnostic to the cloud provider (including
containers), with automatic horizontal and vertical elasticity
Customized for BigData applications
A privacy and security framework suitable for performing efficiently
on Big Data applications
A programming model bridging to data analytics and QoS
functionality, independent of the IaaS provider
A real use case implemented on top of the platform for the
analysis of data from massively connected societies
Transfer of the technology to external projects, institutions or
entities
The technology will be released under Open-Source licenses
An international research community on Cloud and Big Data
5. EUBra-BiGSEA Exploitable background
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Name of the assets Short Description Exploitation plans Source
Multi-level Dynamic Elastic
Cloud
A container & VM-based IaaS
with Horizontal and Vertical
elasticity
Include along on-premise
Cloud Management
Platform ecosystems
EU & national
projects (INDIGO,
CLUVIEM)
Big Data Application Models Models of data quality,
descriptive and predictive
Data Analysis applications.
Not yet identified New
Big Data Analytics
Framework
Multi-platform data analytcs
service and API
Not yet identified Dice
Programming Model Programming model
integrating general purpose
languages with Big Data
services
Not yet identified EUBrazilCC
Big data security framework Security and privacy-
preserving framework
tailored for big data
applications
Not yet defined New
Traffic Data
Recommedation Use Case
A system to predict best
routes based on
environmental and social
conditions.
Services for the
municipality
New
6. EUBra-BIGSEA & Cloud computing
challenges
• Personal data protection & privacy
• Privacy annotation of data and processing
• Efficient privacy protection for BigData
• Flows of data & portability
• Compromise between on-the fly access and replication
• Support of a variety of standard formats
• Data Quality as a Service
• Vendor lock-in
• Infrastructure-agnostic solutions
• API-centric project for Data Scientists and Application
developers
• Integration of multiple programming models
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7. Hurdles & recommendations
• We anticipate a high complexity on the modelling of applications
to adjust resources on deployment
• Dynamic readjustments will correct divergences to achieve the QoS
• Learning process
• Scattered legal framework in Europe and differences with Brazil
• Priorities between EU and Brazil are not always aligned in terms
of security / privacy / infrastructure needs
• No standardised way to represent the data – this might limit the
applicability of the solutions
• In the use case working with data from Curitiba municipality, but
thinking wider
• Create a self-sustainable community and impact on standards
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