EOSC Platform Early Adopter Programme

C-SCALE, DICE, EGI-ACE, OpenAIRE Nexus, Reliance and ARCHIVER collaborate on EOSC Platform EAP

The EOSC Future project has launched the EOSC Platform Early Adopter Programme with C-SCALE, DICE, EGI-ACE, OpenAIRE Nexus, Reliance and ARCHIVER. Research communities and service providers will have unlimited access to EOSC services and expertise. Get the support you need to scale up your research project, advance your institution or broaden the reach of your services via the EOSC platform. Apply now.

The EOSC Platform Early Adopter Programme (EOSC Platform EAP) aims to foster a culture of cooperation among researchers and providers within the European Open Science Cloud (EOSC). The hands-on format of the programme will equip research communities and service providers with expert knowledge and resources, covering different services and e-infrastructures.

Beyond this in-kind support, programme participants will play an active role in EOSC development, helping to create an EOSC that serves the actual needs of European research communities in all domains.

What’s in it for you?

Selected applicants will be grouped into ‘Early Adopter Projects’ with well-defined work plans and objectives (e.g. onboarding a service in EOSC, running a data analysis workflow, etc.).

Each project can have a duration of 3, 6 or 12 months.

The Early Adopter Projects will get the support they need in terms of:

  • accessing technical services and resources throughout the project’s entire research life cycle
  • receiving technical support from EOSC Future experts and project partners to identify, access and use the services and resources
  • onboarding services to the EOSC Marketplace and making services more visible to the broader EOSC community
  • benefitting from EOSC services (i.e. AAI, helpdesk, monitoring, accounting, etc.).

Please note: The programme aims to provide technical support; however, this does not include direct financial support to applicants.

Who should apply?

  • providers looking to integrate their services into EOSC and, in turn, make them available to the research community at large
  • research communities working to address cross-disciplinary, societal or complex research challenges with the help of EOSC resources from different disciplines or e-infrastructures

Apply now

Applications are already open for the EOSC Platform EAP. Find out more here.

N.B.: A cut-off date for the 1st round of Early Adopter Projects is set for 15 May 2022. Applicants who submitted applications will be informed of the evaluation committee’s decision within 1 month.

EGI-ACE Workshop: EOSC Compute Platform User Support

On April 5th, we are organising a User Support workshop for the EOSC Compute Platform. Registration is now open!

The EOSC Compute Platform, delivered by the EGI-ACE project, is a system of federated compute and storage facilities, complemented by diverse access, data management and compute enabling services. The EOSC Compute Platform is designed to support a wide range of data processing and analysis use cases, the hosting of scientific services, containers and data spaces. 

The workshop is organised for:

  • Existing and provisional EGI-ACE use cases,
  • The technical support staff (the shepherds) working with them, and
  • Any party who would like to learn about the capabilities and benefits of the EGI-ACE services, and the EOSC Compute Platform to use them for Open Science.

The workshop consists of two parts:

  • In the morning session, overview presentations with short Q&A slots will cover the different areas of services of the EOSC Compute Platform: Compute services; Data services, Higher-level services.
  • The afternoon session will consist of ‘use case support clinics’, where scientific communities (e.g. the EGI-ACE use cases) can work with the EGI-ACE technical experts. Bring your use case and questions to the clinics! The exact topics of the clinics will be selected from this Doodle based on the participants’ interest.

Doodle for the Clinic Sessions

This Doodle collects interests for topics to be featured in the Use case support clinics sessions of the EGI-ACE Compute Platform User Support Workshop. 

When filling out the Doodle please write your name + the use case (or project or institute) you represent. Topics offered in the Doodle are:

  • AI/ML (model development, training, delivery)
  • Containers (Kubernetes, Docker, uDocker, Singularity)
  • Orchestration (EC3/IM, DODAS, Indigo-PaaS)
  • Data management (File Transfer Service, caching, Rucio, DataHub, Publishing, FAIR)
  • Analytics service (Binder/Jupyter)
  • Authentication, authorisation, group/role mgm
  • Resource allocation and access (Cloud/HTC/HPC/GPU)

Connection information

Registered participants will receive the connection information in email closer to the event.

EGI-ACE is a 30-month project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services.
EGI-ACE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017567.

New science case supported by EGI-ACE

EGI-ACE supports a series of science cases, detailing how the project contributes to the advancement of research and studies for a specific community. The collaboration between the project and the communities served is detailed in a Service Level Agreement (SLA) document, which is public and available on the EGI repository.

This month, we showcase the ENES use case. 

The European Network for Earth System modelling (ENES) was launched in 2001 with a network of about 50 groups including public, academic and industrial partners. Since then, the parties work together and cooperate to discuss possible strategies to accelerate progress in climate, Earth system modelling and understanding.

ENES community started collaborating with EGI within the European Open Science Cloud context, in particular in the EOSC-Hub project, delivering the ECAS (ENES Climate Analytics Service) Thematic Service which targets analytics needs from the community. 

The collaboration continues via the EGI-ACE project to create the ENES Data Space, which delivers an open, scalable, cloud-enabled data science environment for climate data analysis on top of the EOSC Compute Platform and the ECAS service. It provides both storage and computational capabilities offering a Jupyter notebooks interface for running data manipulation, analysis, visualization, and a data publication service enabling file browsing and data access for scientific datasets. Thanks to the SLA agreed with EGI, the TR-FC1-ULAKBIM resource provider from Turkey is supporting the operation of the ENES Data Space, offering more than 170 vCPU cores, 170GB of RAM and 300TB of block storage.

The ENES Data Space is now available as a service to the EOSC community and available from the EOSC Marketplace.


Check the SLA on the EGI repository.

Check the ENES Case Study and the other Case Studies supported by EGI-ACE.

Participate in the webinar about the ENES Data Space on March 9, 2022, at 2 PM CET.

EGI-ACE and HealthyCloud presented at the PHIRI Scientific Stakeholders’ Dialogues

Gergely Sipos, Head of Services, Solutions, Support, has represented EGI and the EGI-ACE project today at Scientific Stakeholders’ Dialogues organised by PHIRI project. This event aimed to connect, interact or exchange with relevant national and international stakeholders. It hosted active discussions around three themes at the core of the project: FAIR catalogues describing (population) health data, building a federated infrastructure; and crisis preparedness and rapid policy response. The event was also attended by Salvador Capella-Gutierrez from BSC (Barcelona Supercomputer Center), our partner in HealthyCloud project.

Both Gergely and Salvador participated in the panel session focusing on health data analysis in a federated architecture discussing the obstacles and achievements of federated infrastructures, and topics of how to upgrade the infrastructures such as PHIRI in a way that they are sustainable and technologically evolving

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EGI-ACE is a 30-month project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services. EGI-ACE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017567.

 

The HealthyCloud project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº 965345. In HealthyCloud, EGI leads the task on the analysis of the existing computation infrastructures with special view on health research, and will propose a reference architecture for computational services to serve the Health Research and Innovation Cloud ecosystem. 

Inauguration of the enhanced ELKH Cloud infrastructure

EGI Foundation team has attended today, 15th of February 2022, the inauguration of the enhanced ELKH Cloud infrastructure. ELKH is the cloud computing system of the Eotvos Lorand Research Network, one of the largest general-purpose research infrastructures in Hungary, a joint effort of SZTAKI (Institute for Computer Science and Control) and Wigner Research Center. The Hungarian Academy of Sciences initiated the development of such infrastructure in 2016, and building on its success it was further extended in 2021. ELKH Cloud is a joint effort of Hungarian scientific communities, who contribute to its development and operations, and also receive custom-tailored professional support.

ELKH Cloud services will soon be available through the EOSC Compute Platform

With the support of the European Commission project EGI-ACE, the EGI participants are integrating ELKH Cloud in the EGI Cloud Federation and the European Open Science Cloud compute platform operated by EGI. With sigle sign-on Hungarian researchers will be able to use ELKH Cloud to process data and reuse scientific applications and notebooks from other scientific collaborations, and at the same time to share their own data, notebooks and workflows.

Learn more about ELKH

Watch the video To learn more about the EGI-ACE project and ELKH Cloud see this video.

Check the presentation

Check these slides to understand how the ELKH Cloud infrastructure is being integrated in the EGI Federation to make:

  1. Single sign-on to access computing, data and scientific applications from worldwide scientific collaborations thanks to the EGI Check-in service
  2. Access and share data federated data in the EGI DataHub service
  3. Access and share scientific applications in the EGI Virtual Machine repository AppDD

These capabilities enable Hungarian researchers to exploit open science resources share by their colleagues from other organizaitons, and to share their own scientific outputs. With these efforts, Hungarian researchers will be able to contribute to the European Open Science Cloud and become active users.

These efforts are supported by the EGI-ACE project.

 


EGI-ACE is a 30-month project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services. EGI-ACE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017567.

One Year on with the EGI-ACE

Capacity demand and trends of the EGI-ACE project after its 1st year

EGI-ACE, an EU-funded project coordinated by the EGI Foundation, was kicked off in January 2021. The project will run for a total of 30 months, until July 2023, with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free at the point of use services

EGI-ACE delivers the ‘EOSC Compute Platform’, an integrated compute environment that federates compute and storage facilities with various platforms and access layers. The project also contributes to the EOSC Data Commons through the setup and provisioning of ‘Data Spaces’ that integrate scientific datasets and data analytics tools on top of the Compute Platform.

 

Key achievements after the first 12 months of EGI-ACE

EGI-ACE managed to scale up the EOSC Portal with 30 large-scale, diverse services from providers across Europe and beyond. We are proud that 9 EGI-ACE services have been among the top 10′ most ordered’ EOSC services.

More than 40,000 users accessed our services, and the EOSC Compute Platform served 56 user communities in this period. The user communities vary from their origin, type, and disciplinary scope. To equip different scientific communities across Europe with access to state-of-the-art services for data-intensive research, the project so far delivered 20 Thematic Services / Data Spaces for a total of 37,000 users.

Data Spaces are special thematic services that host and integrate both datasets and scientific tools into a single unit, enabling the scalable, online analysis of big datasets. The Data spaces federate data from multiple providers and host those data on the EOSC Compute Platform resources together with applications that understand and can process the data. 

The total capacity requested by EGI-ACE use cases amounted to 105 Million CPU hours. Such amount of computational power was made available by the EOSC Compute Platform relying on:

  • EC funding through EGI-ACE Virtual Access
  • National funding mobilised by the national e-Infrastructures participating in the EGI infrastructure.
  • EGI participants’ funding that was supporting the cost of EGI federation services.

 

 

Ensuring capacity matches demand

The EGI-ACE Virtual Access budget allows project members to deliver 80 Million CPU hours in total over 30 months through various computing capabilities. Assuming the demand trend remains the same, the available funding will allow it to serve around 50% of the demand stimulated by the project.

It is clear that the type of services provided by EGI-ACE is in high demand, and the project has been able to capture it successfully. For the remaining part of the project, we will ensure the allocation of the remaining resources to the most promising research use cases in need of data-centric scientific computing.

 

Read more

A more detailed analysis of the project achievements as well as the project strategy can be found here

 

 


EGI-ACE is a 30-month project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services. EGI-ACE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017567.

Help us map the landscape of green computing activities

The EGI-ACE project established the Green Computing Task Force in 2021 to coordinate the Green Computing activities of the compute centres. The Task Force aims to map the landscape of green computing activities in EGI, capture good practices for green computing from the federation members, develop best practice guides for the EGI compute and data centres, and monitor the uptake and environmental impact of those during 2022 and 2023.

The first Kick-off meeting of the Green Computing Task Force took place in December 2021. The initial members of the Task Force are mainly the respondents to the Green Computing survey launched in July 2021. However, we hope more members will join by the end of the project.

So far, the task force members have agreed on a plan and a list of actions for the next 12 months. Our future newsletters newsletter issues will provide you with more updates.

We invite all interested colleagues and partners, including those who are not directly contributing to the EGI-ACE project, to join the Task Force! Send email to EGI’s Senior Service Delivery Officer Catalin Condurache.

 

Join the Task Force

 


EGI-ACE is a 30-month project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services. EGI-ACE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017567.

Help us map the landscape of green computing activities

The EGI-ACE project established the Green Computing Task Force in 2021 to coordinate the Green Computing activities of the compute centres. The Task Force aims to map the landscape of green computing activities in EGI, capture good practices for green computing from the federation members, develop best practice guides for the EGI compute and data centres, and monitor the uptake and environmental impact of those during 2022 and 2023.

The first Kick-off meeting of the Green Computing Task Force took place in December 2021. The initial members of the Task Force are mainly the respondents to the Green Computing survey launched in July 2021. However, we hope more members will join by the end of the project.

So far, the task force members have agreed on a plan and a list of actions for the next 12 months. Our future newsletters newsletter issues will provide you with more updates.

We invite all interested colleagues and partners, including those who are not directly contributing to the EGI-ACE project, to join the Task Force! Send email to EGI’s Senior Service Delivery Officer Catalin Condurache.

 

Join the Task Force

 


EGI-ACE is a 30-month project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services. EGI-ACE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017567.

14 EGI-ACE use cases currently supported, submit yours now!

As you may have noticed, the EGI-ACE project continuously runs open calls to offer access to infrastructure and platform services, and dedicated user support and training. Since the first open call (cut off date April 15, 2021) the project has received a total of 20 use cases. 14 of the submitted applications have already been accepted and supported.

Click on the name of the use case to learn more about the objective, how the EGI-ACE project supports and who the targeted beneficiaries are.

AiiDAlab

Objective

Running advanced scientific software requires expert knowledge which comes along with several challenges. To mitigate these, the AiiDAlab web platform has been created, allowing any interested researcher to work with advanced simulation tools. AiiDAlab provides an infrastructure for computational scientists to develop, execute, and share computational workflows as intuitive web services based on Jupyter Notebooks. 

 

How EGI-ACE supports

EGI-ACE will be able to help procuring the resources needed to rapidly scale up this demonstration service such that it can be comfortably advertised to the general scientific community. The expectation is to support at least 100 concurrently active user sessions at peak times and on the order of 500 user accounts in total (a ten-fold increase). The EGI Notebooks service will also be expanded to add AiiDAlab as a workflow layer.

 

Beneficiaries

Currently, AiiDAlab applications are focused on Materials Science. Therefore, the researchers from this domain will mostly benefit from the freely available service.

AMBER-based modelling of SARS-CoV-2 Spike protein (CNR)

Objective

The SARS-CoV-2 Spike protein is a glycoprotein that plays a key role in the receptor recognition, viral attachment, and entry into host cells. The AMBER-based modelling study evaluates the occupancy of the spike protein and will identify glycan holes, providing opportunities for inactivators to bind.

 

How EGI-ACE supports

Implementation  of  the  proposed  use  case  is  bound  to  access  modern  and  powerful GPU devices as well as suitable storage and transfer data services. In particular, to implement the use case 10 virtual machines (VMs) would be needed provided by  the  EGI cloud  federation.  Of  these  VMs,  7  of  them  will  be  dedicated  to  run  dynamic simulations  on  known  drug  protein  complexes,  whereas  the  other  3  VMs  will simulate dynamics of polyanionic polymers protein complexes.

 

Beneficiaries

First beneficiaries of the use case will be researchers of a consortium of three Italian research teams, respectively working at the Institute of Biomedical Technologies of the National Research Council (CNR ITB), at the University of Brescia (UniBs), and at the University of Genoa (UniGe). Results obtained through the implementation of the proposed use case will be the basis for the implementation of specific research studies aimed at identifying antiviral drugs and anionic polymers targeted to inactivate the Spike protein.

ARTICONF project (Agilia)

Objective

The objective of the use case is to create an AI-driven mobile app that mixes car sharing and carpooling models allowing cost sharing and safe travel through direct trustworthy transactions among passengers.

 

How EGI-ACE supports

For the blockchain network the availability of services need to be tested along with the maximum throughput achieved in the network. A total of 5 VMs will be needed.

 

Beneficiaries

Agilia Center SL will be the main beneficiary akong with the service end users. This will be used to test our use case with the market through end users testing campaigns. The end users are mainly people who need to drive a car for a period of time or want to share a ride with a driver. A new market will be targeted (peer to peer car sharing and carpooling market) with an expected growth this year of about 11%.

eHoney platform (University of Bologna)

Objective

The  main  scientific  objective  of  the  use  case  is  to  implement  an  innovative computational procedure to indirectly describe the effect of climate change on biodiversity using environmental DNA (eDNA) information (data and metadata), taking advantage from peculiar archived eDNA collector specimens, i.e. honey samples produced over the last decade.

 

How EGI-ACE supports

The datasets locally available includes about 8-10TB of metagenomics raw data that  will  be  processed. Including  the  outputted  results,  an  estimated  total  of 30TB will be required by the project. Considering that each analysis can require up  to  40GB  of  ram  and  8CPUs,  the  EGI  Cloud  Compute  or  the  EGI High-Throughput  Compute  service  would  be  among  the  best  options.  For  data transferring the EGI Data Transfer service could support.

 

Beneficiaries

The beneficiaries of the use case will be the Animal and Food Genomics Group of  the Department  of Agricultural  and  Food  Sciences  of  the  University  of Bologna  (Bologna,  Italy).  The use case will set a new avenue to analyse the effect of climate change on the environmental biodiversity using retrospectively archived honey samples. This approach is highly innovative and will contribute to Open Access and FAIR with  the  unique  next generation  sequencing of large  datasets  from  honey environmental DNA, the developed pipelines and the constructed databases that will  be  generated  by  the  use  case.

Large sample testing of high-resolution distributed hydrological model

Objective

The objective is to perform large sample testing of high-resolution distributed hydrological models to identify where process description or used datasets (forcing, geofabric, etc) fall short and need improvement. This in light of obtaining a detailed understanding on how the seasonal scale forecasts and/or climate change scenarios impact the hydrological response, its interactions with the atmosphere and the occurrence of floods and drought.

 

How EGI-ACE supports

There is a need for the EGI-ACE project to support converting the Azure pipeline to the EOSC to be able to execute the workflows in parallel independently. This will require compute time, fast data storage, access for multiple persons including MSc and PhD students.

 

Beneficiaries

The setup will be fully reproducible, and results will be made available according to the FAIR principle (including access to the dockerized model and workflow). The aim is to involve students from various universities in the research activities. Hereby, training the next generation of computational hydrologists.

OGC Sensor Things API for Citizen Science (Cos4Cloud project)

Objective

In Citizen Science, very many different APIs and data models are used that hinder the easy use of data across different operators. In Cos4Cloud, we strive to create a federation of Citizen Science portals and an Expert Portal that exchanges citizens’ observations for the purpose of quality assurance. The scientific objective is to study whether the developed extension to the OGC Sensor Things API for Citizen Science is fit for purpose for large data sets coming from different domains such as environmental and biodiversity

 

How EGI-ACE supports

The project will offer support by loading Balancer with Kubernetes or Docker enabled nodes plus high speed storage (data buckets) with the Postgres Database System (Master – Slave). There is a need for high ingress and egress bandwidth to support large scale data loading and performance tests.

 

Beneficiaries

The beneficiaries will be international research and academia as the international exchange of citizen science data supports global research on use cases of common interest.

OpenBioMaps

Objective

The  basic  goal  of  OpenBioMaps  is  to  build  relationships  and remove   technical barriers   between communities   that   produce   and   use biodiversity  data.  It  provides free  services  and  open-source software  for researchers   and   conservationists.

 

How EGI-ACE supports

Three virtual servers have been requested to support, a OpenBioMaps database server and two computational servers.

 

Beneficiaries

The new OpenBioMaps database and computational nodes will target new research teams and conservation institutes from Croatia, Slovakia, Poland, Greece, the United Kingdom and Germany. In Hungary, OpenBioMaps is used in 9 National Parks, which have many international nature conservation and scientific connections with foreign nature conservation institutions and research sites.

Perovskite material studies

Objective

The scientific objective concerns the characterisation of halide perovskite materials, interfaces and defects using molecular dynamics (MD). These materials are very promising for solar cells, but they are degrading fast. This study will lead to a more clear understanding of the stability and the degradation mechanisms in these materials. Ion migration is of particular interest and will be the main focus of MD simulations.

 

How EGI-ACE supports

In order to process multiple instances by MD calculations, the research requires an extension of the current resources which the EGI-ACE project can offer.

 

Beneficiaries

The beneficiary of the MD calculations will be the group at the Reykjavik University (the Nanophysics Center) as well as the group from DFCTI/IFIN-HH, Romania, and the group from the National Institute of Material Physics, Romania within the SEE project “Towards perovskite large area photovoltaics”.

Protein pKa and isoelectric point calculations

Objective

The objective is to Establish an easy-to-use cloud service that allows for fast pKa and isoelectric point calculations using user-provided protein structures or those obtained from the Protein Data Bank. The goal is to make PypKa the go-to solution for these calculations, building upon its high accuracy and computational speed. Additionally, the research aims at building a large dataset of pKa values and isoelectric points, which will be pivotal to train machine-learning algorithms.

 

How EGI-ACE supports

A request has been made for access to 200 virtual cores to be shared between the PypKa server and the pKPDB database. 5 TB of disk storage are also needed mostly to accommodate the database.

 

Beneficiaries

The PypKa publicly available cloud service will benefit a variety of scientific researchers world-wide, with an emphasis on structural biologists and bioinformaticians. Since the tool can estimate the isoelectric point of proteins, it is also useful to experimentalists working in the field of protein sciences.

Scalable Jupyter backends to complement data holdings in the CS3mesh4EOSC mesh

Objective

Starting from scientific data already held in the node of the CS3mesh4EOSC consortium, there is a need to ensure that users can select the correct VREs and scientific workflows to operate on this data, seamlessly. Given that EGI is the eInfra partner for the operation of the VRE instance of many ESFRIs, it stands to reason to try to connect the CS3mesh4EOSC data holdings with a generic test case for EGI’s method of running VREs.

 

How EGI-ACE supports

The project has been requested to provide access to a Jupyter notebooks cluster with at least 200 cores, a minimum of 5 co-located VMs (4CPU, 8 GB min) that can run interoperability middleware (to be experimented with between EGI and CS3mesh4EOSC), federated authentication harmonised between CS3mesh4EOSC and EGI identities, a sandboxed part of the namespace on the EGI cvmfs stratum-0 (for definition of VRE environments and distribution to Jupyter) and DODAS / Apache Spark, to experiment with jobs started at a jupyter in site-A and using spark parallelism at site-B (as a means of compute scale-out).

 

Beneficiaries

The compute platform has the potential to be rolled out to the entire CS3mesh4EOSC constituency – currently the entire constituencies of SURF, DeIC, CESNET, PSNC, CERN, SWITCH, AARNet and the European Commission’s JRC.

Fermi-LAT data analysis and interface with Italian mirror data archive at SSDC

Objective

The analysis of scientific data taken with a generic gamma-ray telescope is dominated by the low statistics, each photon must be treated as a single particle with a determinate energy and an incoming direction. This makes the gamma-ray data analysis very time-consuming especially when the integrated observation is about years, then billions of photons, as the case of the Fermi Large Area Telescope onboard the Fermi Gamma-ray Science Telescope (Fermi-LAT). Resources devoted to the optimization of the time data analysis is fundamental for the Fermi-LAT science. In this particular science case with new resources, we can easily manage the integration of years of data and interface directly with the official Italian Mirror data archive of Fermi-LAT data hosted at the Space Science Data Center in Rome (SSDC).

 

How EGI-ACE supports

The beneficiaries of the use case will be Italian group of Fermi-LAT collaboration composed of INFN and University researchers. Moreover the proposed use case should be beneficial for either training new students and to establish a reusable analysis model for further activities such as those related to the new satellite-born gamma-ray observatories (i.e. AMEGO). Those are strategic assets because the team is proposing a very flexible solution to improve the data processing of FERMI-LAT and this will allow it to easily extend the pipeline to new paradigms based on Machine Learning. On a large perspective, this use case can be extended to the whole international community interested in astrophysical data analysis. Furthermore the release of new gamma-ray sources catalogs with a dedicated database of science-ready Fermi-LAT products will be publicly available.

 

Beneficiaries

The beneficiaries of the use case will be Italian group of Fermi-LAT collaboration composed of INFN and University researchers. Moreover the proposed use case should be beneficial for either training new students and to establish a reusable analysis model for further activities such as those related to the new satellite-born gamma-ray observatories (i.e. AMEGO). Those are strategic assets because the team is proposing a very flexible solution to improve the data processing of FERMI-LAT and this will allow it to easily extend the pipeline to new paradigms based on Machine Learning.

MATRYCS

Objective

MATRYCS aims to develop a data-driven Reference Architecture for AI-based scalable big data management & analytics in smart energy-efficient buildings.

 

How EGI-ACE supports

EGI-ACE will contribute offering advanced solutions (e.g. : EGI Cloud Compute and EGI Container Cloud Compute services) and allocating computing resources (25-30 VMs, 100-130 vCPU cores, 200-230 GB of RAM, 0.5 TB of local disk storage, and 4-5 TB of block storage) to facilitate the development of the data driven reference architecture. 

 

Beneficiaries

More than 160 organisations have been listed as potential supporters, promoters and even advocates of the MATRYCS. These have been categorised into the following target groups and related main benefits:

  • Policy Makers & Standardisation Organisation
  • Energy sector
  • Buildings and construction sector
  • Financial sector
  • Industry Associations & Technology Clusters
  • IT industry Players and SMEs, and
  • Researchers and Academia
MINKE project

Objective

The H2020 MINKE project integrates key European marine metrology research infrastructures, to coordinate their use and development and propose an innovative framework of “quality of oceanographic data” for the different European actors in charge of monitoring and managing the marine ecosystems. MINKE proposes a new vision in the design of marine monitoring networks considering two dimensions of data quality, accuracy and completeness, as the driving components of quality in data acquisition.

 

How the EGI-ACE project supports

The following baseline resources on cloud-based infrastructure are requested; however, additional services such as authentication and authorization infrastructure and cloud-based notebooks will be investigated for integration.

  • Resources in two geo-distributed data centres, with at least one of them delivering GPU-based resources (for AI-based workloads).
  • Approximately 16 virtual machines in each data centre delivering 96 vCPUs, 192GB RAM, totalling 192 vCPUs and 384TB RAM. The baseline configuration for most of the VMs is expected to be 8 vCPUs/16GB RAM.
  • 2TB of initial storage per data centre, totalling 4TB. The storage capacity may need to be increased but it is not expected to go beyond 10TB. 
  • At least two VMs will be required to be on GPU-enabled resources.

 

Beneficiaries

MINKE (combining metrological and participatory systems) are of European and worldwide interest. Their involvement in many national, European and international projects or ERICs with academic and private partners, and the support provided by their high-level scientists, guarantees their attractiveness to significant numbers of users from the wider scientific communities in Europe and elsewhere where research for improving marine observation sustainability is limited by the lack of appropriate RI.

PLOCAN

Objective

Collect acoustic recordings from Atlantic stations, study the noise pollution and produce a noise-monitoring platform. This platform will be offered to end-users to produce noise maps and risk assessment of the ocean.

 

How EGI-ACE supports

The EGI-ACE project will contribute provisioning cloud compute resources and provide technical support for hosting the noise-monitoring platform. More specifically, this platform will be composed of a Kubernetes cluster and several JupyterHub notebooks for processing the data collected from the different stations and displaying the noise map. Access to this noise-monitoring platform will be secured via the EGI AAI Check-In service.

 

Beneficiaries

The main beneficiaries of this application are the stakeholders of the JONAS project including the scientific community and the EU government agencies.

 

Next cut-off date

Interested to submit your use case? The next cut-off date will be on the 15th of December 2021. Please note that the cut-off dates are set every two months and the call will continue to be open for the entire duration of the project.

EGI Conference 2021: registration is open and preliminary programme is available

Registration for the EGI Conference 2021 is now open and the programme is online!

#EGI2021 is taking place from October 19th until 21st with the theme: “Beyond the Horizon: Shaping the Digital Future”.

At this edition of EGI Conference, we invite the community to work together in shaping the digital future with advanced computing services. Together, we will showcase new services and tools, investigate technical innovations, explore business opportunities and strategic and policy-related initiatives.

The programme will highlight workshops, demonstrations and presentations across four tracks, with one track being fully dedicated to the European Open Science Cloud.

This year also marks 50 years of both the French National Institute of Nuclear and Particle Physics (IN2P3) and the Computing Centre at the University of Zagreb (SRCE), which will have dedicated celebratory keynotes on 19 October.

Following the conference, a co-located workshop on the Global Open Science Cloud (GOSC) will take place on 22 October – you can choose to participate while filling in the event’s registration form! Another complimentary element is the “EGI 101” session which will take place the day before the conference. This session presents all you need to know about EGI, from the community to the federation, in a nutshell!

Last but not least – we will have morning yoga sessions to help you start the conference days in the most zen mood! Will you join us? Then have a look at the programme and register now to attend!