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2021 Journal article Open Access OPEN

ReLock: a resilient two-phase locking RESTful transaction model
Frosini L., Pagano P., Candela L., Simi M., Bernardeschi C.
Service composition and supporting transactions across composed services are among the major challenges characterizing service-oriented computing. REpresentational State Transfer (REST) is one of the approaches used for implementing Web services that is gaining momentum thanks to its features making it suitable for cloud computing and microservices-based contexts. This paper introduces ReLock, a resilient RESTful transaction model introducing general purpose transactions on RESTful services by a layered approach and a two-phase locking mechanism not requesting any change to the RESTful services involved in a transaction.Source: Service-oriented computing and applications (Internet) (2021). doi:10.1007/s11761-020-00311-z
DOI: 10.1007/s11761-020-00311-z
Project(s): Blue Cloud via OpenAIRE

See at: ISTI Repository Open Access | Service Oriented Computing and Applications Restricted | link.springer.com Restricted | Service Oriented Computing and Applications Restricted | Service Oriented Computing and Applications Restricted | CNR ExploRA Restricted


2021 Report Open Access OPEN

ARIADNEPlus - VREs operation mid-term activity report
Assante M., Cirillo R., Dell'Amico A., Pagano P., Candela L., Frosini L., Lelii L., Mangiacrapa F., Panichi G., Sinibaldi F.
This deliverable D13.2 - "VREs Operation Mid-term Activity Report" describes the activities carried out during the first 24 months of the ARIADNEplus project within Work Package 13. Specifically, in Task 13.1 Infrastructure Operation (JRA2.1) and Task 13.3 VREs Operation (JRA2.3). It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at mid-term in the ARIADNEplus infrastructure.Source: Project report, ARIADNEplus, D13.2, 2021
Project(s): ARIADNEplus via OpenAIRE

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


2021 Report Open Access OPEN

EOSC Pillar - D.5.2 FAIR Research Data Management Workbench Operation Report
Candela L., Cazenave N., Frosini L., Le Fran Y., Mangiacrapa F.
EOSC-Pillar is developing and integrating a set of tools and services overall supporting the construction and maintenance of an aggregated data space implementing the FAIR principles. This deliverable documents the activities and results (e.g., indicators on integrated data providers, and datasets, indicators on datasets accesses) of the operation of the EOSC-Pillar toolset enacting the development of the EOSC-Pillar data space. This first release of this typology of deliverable gives early indicators about the exploitation of the proposed services. The data space will be actually developed in the second period of the project.Source: Project report, EOSC-Pillar, D5.2, 2021
Project(s): EOSC-Pillar via OpenAIRE

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


2020 Journal article Open Access OPEN

Realizing virtual research environments for the agri-food community: the AGINFRA PLUS experience
Assante M., Boizet A., Candela L., Castelli D., Cirillo R., Coro G., Fernández E., Filter M., Frosini L., Georgiev T., Kakaletris G., Katsivelis P., Knapen R., Lelii L., Lokers R. M., Mangiacrapa F., Manouselis N., Pagano P., Panichi G., Penev L., Sinibaldi F.
The enhancements in IT solutions and the open science movement are injecting changes in the practices dealing with data collection, collation, processing, analytics, and publishing in all the domains, including agri-food. However, in implementing these changes one of the major issues faced by the agri-food researchers is the fragmentation of the "assets" to be exploited when performing research tasks, for example, data of interest are heterogeneous and scattered across several repositories, the tools modelers rely on are diverse and often make use of limited computing capacity, the publishing practices are various and rarely aim at making available the "whole story" including datasets, processes, and results. This paper presents the AGINFRA PLUS endeavor to overcome these limitations by providing researchers in three designated communities with Virtual Research Environments facilitating the use of the "assets" of interest and promote collaboration.Source: Concurrency and computation (Online) 33 (2020). doi:10.1002/cpe.6087
DOI: 10.1002/cpe.6087
Project(s): AGINFRA PLUS via OpenAIRE

See at: ISTI Repository Open Access | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | CNR ExploRA Restricted | Concurrency and Computation Practice and Experience Restricted


2020 Report Open Access OPEN

Blue Cloud - D4.2: Blue Cloud VRE Common Facilities (Release 1)
Assante M., Candela L., Pagano P., Dell'Amico A., Coro G., Cirillo R., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Panichi G., Sinibaldi F.
The Blue-Cloud project plans to pilot a cyber platform bringing together and providing access to multidisciplinary data from observations and models, analytical tools, and computing facilities essential to support research to understand better and manage the many aspects of ocean sustainability. To achieve this goal, Blue-Cloud is developing, deploying, and operating the Blue-Cloud platform whose architecture consists of two families of components: (a) the Blue Cloud Data Discovery and Access service component to serve federated discovery and access to 'blue data' infrastructures; and (b) the Blue Cloud Virtual Research Environment (VRE) component to provide a Blue Cloud VRE as a federation of computing platforms and analytical services. This deliverable presents the Blue Cloud Virtual Research Environment constituents by focusing on both new services and revised existing services that have been developed in the reporting period to serve the needs of the Blue Cloud community. In particular, this deliverable describes a total of 11 services and components. These services and components contribute functionalities to the Blue Cloud VRE Enabling Framework (Identity and Access Management, VRE Management), Collaborative framework (Workspace and Social Networking), Analytics Framework (Software and Algorithm Importer, Smart Executor), Publishing Framework (Catalogue Service) and improved support for RStudio, JupyterHub, ShinyProxy, and Docker Applications. The services are described below by reporting their design principles, architectures, and main features. The deliverable also describes the procedures and approaches governing services and components released by highlighting how Gitea (as Git hosting service), Jenkins (as automation server), and Maven (as project management and comprehension tool) are used to guarantee continuous integration processes. Services and components discussed in this deliverable contribute to 11 gCube open-source software system releases (from gCube 4.16 up to gCube 4.25.1) and are in the pipeline for the next ones. They have been used to develop and operate the Virtual Laboratories of the Blue Cloud gateway https://blue-cloud.d4science.org and its underlying infrastructure. At the time of this deliverable (November 2020), the gateway hosts a total of 8 VREs and VLabs, including five specifically conceived to support the co-development of some of the Blue-Cloud demonstrators (namely, the Aquaculture Atlas Generation for Demonstrator #5, the Blue-Cloud Lab for several demonstrators, the GRSF pre for Demonstrator #4, the Marine Environmental Indicators for Demonstrator #3, the Zoo-Phytoplankton EOV for Demonstrator #1). This gateway and its tools serve more than 400 users that (since January 2020) performed a total of more than 5000 working sessions, more than 1700 accesses to the Workspace, and more than 750 analytics tasks. These exploitation and uptake indicators are likely to grow in the coming months thanks to data updates and continued use, further development of existing VLabs, and finally, the creation of new ones.Source: Project Report, Blue Cloud, D4.2, 2020
Project(s): Blue Cloud via OpenAIRE

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


2019 Report Open Access OPEN

SoBigData - D10.7 - SoBigData e-infrastructure and VRE release
Assante M., Candela L., Cirillo R., Frosini L., Lelii L., Mangiacrapa F., Pagano P.
This deliverable describes the software that has been deployed to serve the needs of the SoBigData community, by delivering the platform and the VREs planned in "D10.4 SoBigData e-Infrastructure release plan 3". In particular, it reports on how such software has been exploited to make available the envisaged components, i.e. the SoBigData portal (and the underlying Virtual Organisation), the SoBigData Catalogue and the SoBigData Virtual Research Environments, together with the list and pointers to the software packages produced by the project and implementing such components, whose operation today constitutes the SoBigData e-infrastructure accessible from http://sobigdata.d4science.org.Source: Project report, SoBigData, Deliverable D10.7, pp.1–28, 2019
Project(s): SoBigData via OpenAIRE

See at: data.d4science.net Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2019 Journal article Open Access OPEN

The gCube system: delivering virtual research environments as-a-service
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Frosini L., Lelii L., Mangiacrapa F., Marioli V., Pagano P., Panichi G., Perciante C., Sinibaldi F.
Important changes have characterised research and knowledge production in recent decades. These changes are associated with developments in information technologies and infrastructures. The processes characterising research and knowledge production are changing through the digitalization of science, the virtualisation of research communities and networks, the offering of underlying systems and services by infrastructures. This paper gives an overview of gCube, a software system promoting elastic and seamless access to research assets (data, services, computing) across the boundaries of institutions, disciplines and providers to favour collaboration-oriented research tasks. gCube's technology is primarily conceived to enable Hybrid Data Infrastructures facilitating the dynamic definition and operation of Virtual Research Environments. To this end, it offers a comprehensive set of data management commodities on various types of data and a rich array of "mediators" to interface well-established Infrastructures and Information Systems from various domains. Its effectiveness has been proved by operating the D4Science.org infrastructure and serving concrete, multidisciplinary, challenging, and large scale scenarios.Source: Future generation computer systems 95 (2019): 445–453. doi:10.1016/j.future.2018.10.035
DOI: 10.1016/j.future.2018.10.035
Project(s): AGINFRA PLUS via OpenAIRE, BlueBRIDGE via OpenAIRE, ENVRI PLUS via OpenAIRE, EOSCpilot via OpenAIRE

See at: ISTI Repository Open Access | Future Generation Computer Systems Open Access | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | CNR ExploRA Restricted | Future Generation Computer Systems Restricted | www.sciencedirect.com Restricted


2019 Journal article Open Access OPEN

Enacting open science by D4Science
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Sinibaldi F.
The open science movement is promising to revolutionise the way science is conducted with the goal to make it more fair, solid and democratic. This revolution is destined to remain just a wish if it is not supported by changes in culture and practices as well as in enabling technologies. This paper describes the D4Science offerings to enact open science-friendly Virtual Research Environments. In particular, the paper describes how complete solutions suitable for realising open science practices can be achieved by integrating a social networking collaborative environment with a shared workspace, an open data analytics platform, and a catalogue enabling to effectively find, access and reuse every research artefact.Source: Future generation computer systems (2019): 555–563. doi:10.1016/j.future.2019.05.063
DOI: 10.1016/j.future.2019.05.063
Project(s): AGINFRA PLUS via OpenAIRE, BlueBRIDGE via OpenAIRE, ENVRI PLUS via OpenAIRE, EOSCpilot via OpenAIRE

See at: ISTI Repository Open Access | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | CNR ExploRA Restricted | Future Generation Computer Systems Restricted


2019 Report Restricted

DESIRA - Deliverable 5.1 - Virtual Research Environment: specification report
Assante M, Cirillo R., Dell'Amico A., Frosini L., Pagano P.
The DESIRA Virtual Research Environment specification consists of a hardware layer and a service layer. The former is made available by the D4Science Infrastructure 1 [1, 2] and it is organized as a dynamic pool of virtual machines, supporting computation and storage. The operations and management of those resources is performed via a set of enabling technologies selected to ensure availability and reliability of the infrastructure while e guaranteeing reduction of costs of ownership and a set of supporting technologies selected to ensure secure monitoring, alerting and provisioning. The service layer, illustrated in Figure 1, consists of three service frameworks, which can be summarized as a follows: o Enabling Framework: the enabling framework, framework , based on the gCube System [3], includes services required to support the operation of all services and the VREs supported by such services. As such it includes: a resource registry service, to which all e-infrastructure infrastructure resources (data sources, services, computational nodes, etc.) can be dynamically (de)registered and discovered by user and other services; Authentication and Authorization services, as well as Accounting Services, capable of both granting ing and tracking access and usage actions from users; and a VRE manager, capable of deploying in the collaborative framework VREs inclusive of a selected number of "applications", generally intended as sets of interacting services; o Storage Framework: the storage framework includes services for efficient, advanced, and on on-demand management of digital data, encoded as: files in a distributed file system, collection of metadata records, and time series in spatial databases; such services are used by all other services in the architecture, exception made for the enabling framework; o Collaborative framework : the collaborative framework includes all services deployed for the scientists and for each of them provides social networking services, user management services, shared workspace services. In addition, addition it comprises the part on the Web UI access to the Virtual Research Environment.Source: Project report, DESIRA, Deliverable D5.1, pp.1–19, 2019

See at: data.d4science.net Restricted | CNR ExploRA Restricted


2019 Report Restricted

DESIRA - Working Document 5.1 - VRE design VRE Architecture, implementation
Frosini L.
This working document reports the D4Science e-infrastructure architecture: the hardware and the services. Hardware is organized as a dynamic cloud of virtual machines, supporting computation and storage, while the services are organized into e-infrastructure middleware, storage, and end-user services.Source: Project report, DESIRA, Deliverable D5.1, pp.1–17, 2019

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2019 Report Restricted

PARTHENOS - Deliverable 6.6 - PARTHENOS Cloud Infrastructure
Pagano P., Assante M., Frosini L., Manghi P., Bardi A., Sinibaldi F., Cirillo R., Panichi G.
"D6.6 PARTHENOS cloud infrastructure" is the revised and final version of "D6.1 PARTHENOS cloud infrastructure". This deliverable reports the PARTHENOS e-infrastructure architecture: the hardware and the services. Hardware is organized as a dynamic cloud of virtual machines, supporting computation and storage, while the services are organized into e-infrastructure middleware, storage, and end user services.Source: Project report, PARTHENOS, Deliverable D6.6, pp.1–63, 2019
Project(s): PARTHENOS via OpenAIRE

See at: data.d4science.net Restricted | CNR ExploRA Restricted


2019 Doctoral thesis Open Access OPEN

Transactional REST Information System for Federated Research Infrastructures enabling Virtual Research Environments
Frosini L.
This current PhD thesis aims at researching solutions to the long-standing gap in the research infrastructure field of formal modelling and discovery of information. Research Infrastructures (RIs) are facilities, resources and services used by the research community to conduct research and promote innovation. They provide access to tools, data and algorithms, pooled on working environments named Virtual Research Environments (VREs). Due to their nature, Research Infrastructures (RIs) are a heterogeneous landscape of resource types and diverse, often redundant, models for describing the same resource entities. Such diversity drastically diminishes the capabilities of a consistent fruition of the knowledge and skills available within an infrastructure, and ultimately limits the creation of federations of RI. The current state of knowledge in the field is even more complex due to the emerging concept of Hybrid Data Infrastructures (HDIs), which combine on-premises resources with resources provisioned by cloud and/or grid computing infrastructures. The focus of this study is to address the critical aspects of this heterogeneity and provides to the research infrastructure field both the conceptual and analytical instruments for expanding the scale at which the infrastructures currently operate. The following research questions are investigated in this study: - Research question 1: Is it possible to formalise a uniform resource model to seamlessly federate research infrastructures? - Research question 2: To what extent do state-of-the-art discovery algorithms need to be amended to properly handle VREs across Hybrid Data Infrastructures? - Research question 3: To what extent does the interface of a discovery service can support the new model and algorithms? First objective is attained with the definition of a resource model open by design. An accurate mathematical notation presents a minimal but powerful model consisting of few constructs. This is an abstract model, which can be instantiated to accommodate almost every possible scenario. Second objective is confronted with the design of a novel communication model based on the concept of transaction. Transactional models are not a new idea; rather they have been extensively described in the literature since the 80s. However, this work identifies a misapplication of these models in the context of research infrastructure and proposes changes to support the emerging requirements in the field. Lastly, the third objective refers to the impact that the first two questions have on architectural aspects of the services devoted to distribute the information in a research infrastructure. This point is deeply investigated with a detailed design of a production-ready solution to prove the validity and accuracy of the theoretical aspects of this thesis. The originality of the proposed thesis consists also in its methodology. In fact, this dissertation offers an innovative analytical and methodological approach to address these research questions. A key-enabling component of modern Hybrid Data Infrastructures, the Information System (IS), is used as platform to validate this work. An IS is central to all the themes tackled in this thesis. It exploits the resource model, plays the role of registry inside the infrastructure, deals with an intensive communication with all the other actors and works with the heterogeneity of such a context. Its ultimate goal is to provide uniform views of the resources assigned to each VRE, regardless of their origin. The study presented in this thesis has been conducted within the InfraScience group, the research group pioneering the Enabling Scientific Data Infrastructures field in the past two decades. The group operates at the Institute of Information Science and Technologies (ISTI), an institute of the Italian National Research Council (CNR). This invaluable environment provided a unique ground to develop and validate the theories illustrated in the thesis. Focusing on the validation, the abstract resource model has been instantiated in the gCube model of the D4Science HDI, while the transactional model has been translated in the design of the IS, successfully implemented and adopted by the same HDI. The dissertation carries innovative theoretical, methodological and analytical value in the research infrastructure field and especially in the emerging Hybrid Data Infrastructures. Importantly, this work has been validated in one of the most challenging contexts available. The thesis is organised in chapters: Chapters 1 and 2 describe the problem statement; Chapter 3 provides a state-of-the-art overview of the problem; Chapter 4 develops the theoretical framework by describing both the abstract and gCube resource models; Chapters 5 presents transaction model, how it can be used, and why it focuses on the transaction technique; Chapter 6 offers the core methodological support with the description of the IS to support the abstract resource model and the transaction model and; Chapters 7 and 8 conclude with the validation of proposed study and the contribution to the literature it provides.Project(s): BlueBRIDGE via OpenAIRE, PARTHENOS via OpenAIRE, SoBigData via OpenAIRE

See at: etd.adm.unipi.it Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2018 Journal article Open Access OPEN

An aggregation framework for digital humanities infrastructures: The PARTHENOS experience
Frosini L., Bardi A., Manghi P., Pagano P.
Digital Humanities Infrastructures (DHIs) are research infrastructures supporting researchers in the field of humanities by providing ICT tools and facilities for performing their studies and investigation activities. A DHI typically serves either researchers of one specific sector of humanities (e.g. history, archaeology) or focused research groups working on specific research topics (e.g. studies on the holocaust, on a specific manuscript), with little or no re-use of tools, services and data that could be shared and successfully adopted to answer research questions of different research disciplines. This fragmentation often represents a barrier to inter-disciplinary research collaborations. We present a technical framework for the federation of DHIs where tools, data, services, and knowledge available from each DHI are shared in an integrated environment where researchers can collaborate on specific research topics by creating customized Virtual Research Environments.Source: SCIRES-IT (Roma) 8 (2018): 33–50. doi:10.2423/i22394303v8n1p33
DOI: 10.2423/i22394303v8n1p33
Project(s): PARTHENOS via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.sciresit.it Open Access


2018 Report Open Access OPEN

D10.2 BlueBRIDGE Resources Federation Facilities : Revised Version
Candela L., Coro G., Fabriani P., Frosini L., Galante N. A., Giammatteo G., Pavia D., Kakaletris G., Lelii L., Simi M., Sinibaldi F., Koltsida P.
Deliverable D10.2 - "BlueBRIDGE Resources Federation Facilities: Revised Version" reports the release of the BlueBRIDGE facilities for integration of resources from external infrastructures and management of integrated resources. It is structured as follows: a description for each facility is available on this document in conjunction witha list of the main features, information about the design and architecture of it, a number of use cases and finally how it can be deployed. In case more information is needed or a more detailed documentation is available, URLs to the project 's wiki are provided. The set of the available facilities are split in three main categories: (a) facilities for integrating computing infrastructure resources, aiming on exploiting the computational power offered by external infrastructures in order to execute CPU intensive jobs, (b) facilities for integrating data infrastructure resources, where a number of components have been developed in order to integrate data from different data infrastructures to in the Virtual Research Environments (VREs), including biodiversity, geospatial and generic OAI-PMH repositories and (c) facilities for federated resources management, for effectively and efficiently managing the federated resources made available thanks to bridges developed in the previous categories. The sections that follow provide the description and the details for each distinct facility, aiming on offering a complete guide to the intended readers. The intended readers of this deliverable are (a) the community in the large willing to be informed on the solutions BlueBRIDGE offers for federated resources management, (b) the gCube developer community to know how to integrate, use and build on top of the facilities described by the document, and (c) the gCube administrators to know how to setup, configure and manage the integration of a gCube infrastructure with external resources.Source: Project report, BlueBRIDGE, Deliverable D10.2, pp.1–54, 2018
Project(s): BlueBRIDGE via OpenAIRE

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


2017 Software Unknown

gCube Accounting Framework. [Release 2.4]
Frosini L., Pieve A.
This framework provide facilities to persist and query accounting data in a distributed infrastructure (grid/cloud). The framework discover dynamically the connector of the NoSQL DB to use to persist accounting data. Moreover it discovers the connection parameters and the credential to use either from local configuration files or from the infrastructure registry. The framework is capable to recognize the different operational context and add this information to accounted data.

See at: CNR ExploRA | www.gcube-system.org


2017 Software Unknown

gCube Information System. [Release 1.3]
Frosini L.
The gCube Information System (shortly, IS) delivers functionalities for publishing, discovering, and monitoring the set of resources forming the infrastructure. Moreover it allows to federate different infrastructures. It acts as the registry of the infrastructure, i.e. all the resources are registered in the IS and every service partaking in the infrastructure must refer to it to dynamically discover the other infrastructure constituents. Moreover, the approach provided by the IS is of great support for the dynamic deployment capabilities of gCube.Project(s): BlueBRIDGE via OpenAIRE

See at: CNR ExploRA | www.gcube-system.org


2017 Software Unknown

gCube Document Store Framework [Release 1.5.1 ]
Frosini L., Pieve A.
Document Store Framework is a set of libraries allowing to store information in NoSQL document store. The data models are discovered at runtime and each document is validated before persisting it. The framework persist the data in NoSQL document store through connectors discovered at runtime. The currently provided connector are for CouchDB, CouchBase and MongoDB. The framework is fault-tolerant as it provides bufferization and fallbacks persistence over filesystem in the case the entitled persistence in not available at any moment. When the persistence is back, the data is retrieved from the filesystem and finally stored where expected. It is explicitly designed for cloud computing though it can also be used for local needs by providing an adequate persistence connector.

See at: CNR ExploRA | www.gcube-system.org


2017 Software Unknown

gCube Accounting Framework. [Release 3.1]
Frosini L., Pieve A.
This framework provide facilities to persist and query accounting data in a distributed infrastructure (grid/cloud). The framework discover dynamically the connector of the NoSQL DB to use to persist accounting data. Moreover it discovers the connection parameters and the credential to use either from local configuration files or from the infrastructure registry. The framework is capable to recognize the different operational context and add this information to accounted data.

See at: CNR ExploRA | www.gcube-system.org


2017 Software Unknown

gCube Document Store Framework. [Release 1.5]
Frosini L., Pieve A.
Document Store Framework is a set of libraries allowing to store information in NoSQL document store. The data models are discovered at runtime and each document is validated before persisting it. The framework persist the data in NoSQL document store through connectors discovered at runtime. The currently provided connector are for CouchDB, CouchBase and MongoDB. The framework is fault-tolerant as it provides bufferization and fallbacks persistence over filesystem in the case the entitled persistence in not available at any moment. When the persistence is back, the data is retrieved from the filesystem and finally stored where expected. It is explicitly designed for cloud computing though it can also be used for local needs by providing an adequate persistence connector.

See at: CNR ExploRA | www.gcube-system.org


2017 Software Unknown

gCube Smart Executor. [Release 1.6]
Frosini L.
Smart Executor is a service which allows to schedule, start, stop, and monitor the execution of tasks. It runs tasks provided as plugins (dynamically discovered). The Smart Executor has been designed to be deployed in a typical cloud-based infrastructure and it offers a SOAP/REST interface and a Java client library.

See at: CNR ExploRA | www.gcube-system.org