STAR-Trak Architecture

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STAR-Trak is a project funded by JISC to develop an architecture for tracking student activity data. It aims to provide a common framework to capture, store and share student engagement data across different university systems and applications. The architecture is designed to support learning analytics and give insights into student learning behaviors and outcomes while protecting student privacy.

STAR-Trak Architecture STAR-Trak: a project funded under the Activity Data Strand of the Information Environment 09-11 JISC Programme

The document summarizes the FIWARE platform for building smart applications and services. It describes FIWARE as an open source platform that provides common services and components for data/API management, context processing and analytics, interface with IoT/robotics systems, deployment tools, and more. The platform aims to enable the development of context-aware applications and help scale up for a smarter future.

Big & Open Data: Challenges for Smartcity

Victoria López

This work is about how both private enterprise and government wish to improve their data value and how they deal with this issue. The talk summarizes the way of thinking about Big Data, Open Data and their use by organizations or individuals. Big Data is explained from collecting, storing, analyzing and put in value. This data is collected from numerous sources including sensor networks, government data holdings, company market databases, and public profiles on social networking sites. Organizations use many data analytical techniques to study both structured and unstructured data. Due to the volume, velocity and variety of data, some specific techniques have been developed. MapReduce, Hadoop and other related as RHadoop are trending topic nowadays. Data which come from government must be open. Every day more and more cities and countries are opening their data. Open Data is then presented as a specific case of public data with a special role in Smartcity. The main goal of Big and Open Data in Smartcity is to develop systems which can be useful for citizens. In this sense RMap (Mapa de Recursos) is shown as an Open Data application, an open system for Madrid City Council, avalaible for smarthphones and totally developed by the researching group G-TeC (www.tecnologiaUCM.es).

RMC_final

Andrea Manara

This document discusses cloud computing and the ITU's experience with cloud technologies. It provides an overview of cloud computing concepts and models. It then summarizes the ITU's cloud-related activities including usage by different UN agencies. The document outlines the BR's experience with a cloud computing pilot project involving migration of software systems to public cloud infrastructure. Performance measurements and cost analyses are presented for different software workloads running on the cloud.

Technologies to Build Hybrid Clouds on Public-Private Infrastructures

Helix Nebula The Science Cloud

This document discusses building hybrid clouds that connect public research organizations and commercial cloud services. It proposes using a network to link these resources to provide computing power for research communities in a cost-effective way while ensuring trust, control, and long-term preservation of data. The European Open Science Cloud aims to establish such a multi-tenant, multi-provider cloud infrastructure through public-private partnerships and by addressing challenges like interoperability and seamless elasticity across clouds.

EUDAT

This document provides instructions for voting in a poster competition being held from January 22-25, 2018 in Porto. It lists 35 posters being presented on topics related to research data management and e-infrastructure services. Voters are instructed to view all the posters in the plenary room, take note of each poster's number, and then go to a website to cast their vote by entering the poster number. The winner will be announced on Wednesday.

GeoAnalytics a key component for insurance industry disruption

Andreas Siebert

This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.

ATMOSPHERE - Concertation Meeting EUBrasilCloudFORUM

EUBrasilCloudFORUM .

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

E Res Akt Finalreview

Yannis Kalfoglou

The document describes an emergency response demonstration that uses semantic web technologies to help coordinate emergency services. The demonstration involves a cargo plane crashing in London, causing multiple fires. It shows how an emergency response system could help the Joint Emergency Services Control Centre make sense of the emergency, handle information requests, and make tactical decisions by integrating technologies like ontology mapping, image retrieval, and data management. The goal is to effectively acquire, analyze, and use information in real-time during an emergency response.

Building earth observation applications with NextGEOSS - webinar

terradue

eROSA Policy WS2: European Open Science Cloud (EOSC) - The Perspective of e-I...

e-ROSA

The document discusses the European Open Science Cloud (EOSC) and related e-infrastructure projects. It provides the following information: 1) The EOSC aims to provide EU researchers with a virtual environment for storing, managing, analyzing, sharing, and reusing data across disciplines by integrating existing e-infrastructures. 2) Several projects were funded in 2017-2018 to help develop the EOSC, including EOSC-hub, OpenAIRE Advance, and others to prototype new services. 3) Future work will focus on further developing the EOSC through topics like governance, integrating national initiatives, and consolidating access mechanisms.

"Big Data e vissuto quotidiano" - Massimo Villari per lo Stretto Digitale

lostrettodigitale

This document contains summaries of multiple research projects related to cloud computing: - The RESERVOIR project aimed to deliver better services for businesses and governments using cloud computing with increased efficiency and elasticity. - The CloudWave project focused on agile service engineering for cloud computing through execution analysis, coordinated adaptation, and feedback-driven development. - The VISION Cloud project sought to develop an infrastructure for reliable storage services in cloud computing through advanced capabilities like computational storage and content-centric access. - Additional sections discuss challenges of data lock-in in cloud computing and the need for migration strategies and open standards.

A deep intelligence framework for online video processing

ieeepondy

Michael Bironneau Data governance and the IoT

BCS Data Management Specialist Group

Open Energi's Smart Grid solutions help balance the electricity grid in real time. We collect second-by-second power consumption data from thousands of assets in the field, deeply integrating with legacy industrial controllers and building management systems. We use this data to provide our service and also to prove that we have delivered it after the fact. This data is considered sensitive by the companies who own the assets as well as the National Grid, so its flow must be tightly controlled both from the point of view of security as well as validity. I will explain how we designed an ingestion platform to meet these requirements and how we are now bringing this platform into the age of cloud computing.

Cross e-Infrastructure collaborations

EUDAT

The document discusses collaborations between EUDAT and PRACE to enable large scientific projects by coupling data and high performance computing (HPC) resources. It describes several joint projects that were awarded as part of PRACE calls that involved EUDAT providing data services and storage for projects in various fields like engineering, materials science, and astrophysics. The collaborations aim to make data and computing resources more interoperable and accessible in support of the Open Science vision. Specific activities discussed include joint calls for proposals, credential synchronization to allow seamless access to services, and training on data management best practices.

FIWARE Global Summit - IoT Virtualization for Platform Interoperability

FIWARE

EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's Existing

EOSCpilot .eu

BDE-BDVA Webinar: BigDataEurope Overview & Synergies with BDVA

BigData_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.

Cloud Services for the BIO-ICT Project

Tomo Popovic

Atlas teaser #16

ATLAS H2020 Project

This project has received funding from the European Union to adapt horizontal IoT components to IoT devices that can operate in harsh environments and connect natural objects, wireless communication technologies that can function in remote areas, energy efficient connectivity solutions that can support a wide range of devices and data, and security, privacy and trust solutions for networks with many stakeholders. The project will also develop AI-based analytics that combine object data with third party archives.

BDE SC3.3 Workshop - Options for Wind Farm performance assessment and Power f...

BigData_Europe

GCC2013 LiSIs Lightning Talk

Christos Kannas

LiSIs is a Galaxy-based scientific workflow platform for virtual screening in life sciences informatics research. It is powered by Galaxy for workflow management, RDKit for cheminformatics, R for data mining and statistics, and AutoDock Vina for molecular docking prediction. LiSIs was developed at the University of Cyprus and funded by the EU FP7 GRANATUM project to design and execute in silico models and experiments in cancer chemoprevention. It acknowledges contributions from researchers at University of Cyprus, NUA, DKFZ, and IITRI.