Find research datasets worth reusing

opencc-by-4.0Dec 2020View details →

Lightweight Self-adaptive Cloud-IoT Monitoring across Fed4FIRE+ Testbeds (LiSCIo)

Monitoring will be crucial to properly orchestrate next-gen services. Indeed, monitoring’s output can be exploited to choose where to deploy application services for the first time and to decide when and where to migrate them in case their QoS and contextual requirements cannot be satisfied by the current deployment and infrastructure state. However, only a few works have focused so far on the design and prototyping of monitoring tools for next-gen Cloud-IoT computing platforms. In this context, <a href="https://github.com/di-unipi-socc/FogMon">FogMon</a>, described in (Brogi et al., 2019) and (Forti et al., 2021), is an open-source C++ distributed monitoring service targeting heterogeneous infrastructures along the Cloud-IoT continuum, e.g. Fog computing. FogMon monitors hardware and virtualised resources at different Cloud-IoT computing nodes, end-to-end network QoS between such nodes, as well as available IoT devices. Besides, it features a self-organising peer-to-peer overlay topology with self-restructuring mechanisms and differential monitoring updates, which feature scalability, fault-tolerance, and low communication overhead. The LiSCIo project aimed at assessing FogMon over increasing infrastructures from 20 to 40 Cloud and Edge nodes, spanning two testbeds within the Fed4Fire+ federated infrastructure. Particularly, LiSCIo implemented a new version of the service, i.e. <a href="https://github.com/di-unipi-socc/FogMon-LiSCIo/tree/2.0">FogMon 2.0</a>, which was thoroughly fixed and tuned over a large number of experiments carried on Fed4Fire+ facilities. Throughout the project, data have been collected on all the measurements performed by FogMon 1.x and by FogMon 2.0 (viz. node hardware, IoT, latency, bandwidth) to assess their footprint on hardware resources and bandwidth in all settings, and the relative error on its estimates of latency and bandwidth against ground-truth configurations, enforced via GRE tunnels.

opencc-by-4.0Mar 2022View details →

AMASS European Testbed Artistic Experiment Evaluations

PURPOSE The data set of 36 AMASS European Testbed case studies fulfils a specific purpose: • Build a research database for good practices in the field of arts-based social interventions in AMASS partner countries. • Construct a solid foundation for the development of new interventions with similar objectives. • To present methods of evaluation for arts-based social interventions, avoiding obstacles that made many previous efforts in this field unsustainable and unadaptable. • To offer a valid and authentic knowledge repository for policy makers, developers of future projects and researchers to identify motivations, philosophies, modes of engagement and impact of arts-based social interventions.

opencc-by-4.0Sep 2019View details →

Bandwidth and Service Placement data from the CityLab testbed

A dataset that contains bandwidth data from the nodes of Fed4Fire+ CityLab testbed in Antwerp, Belgium.

opencc-by-4.0Oct 2019View details →

Results of the DYNAMO (Dynamic MEC Orchestration of Cellular Networks) experiment in the Fed4FIRE+ testbeds

The main objective of the DYNAMO Fed4FIRE+ experiment was to perform Network Function Virtualization (NFV) Management and Network Orchestration (MANO) of a cellular network on top of cloud infrastructures, exploring one of the key enabling technologies for 5G systems and beyond.  DYNAMO used cloud and radio access facilities at the IRIS testbed and cloud facilities at the University of Vigo (UVIGO) to deploy an end-to-end (E2E) cellular network and perform elastic changes on it if needed. The geographic distance in between facilitated the setup of a realistic Multi-Access Edge Computing (MEC) use case, where the virtual Evolved Packet Core (vEPC) was deployed at UVIGO (Spain) and the access network, i.e., the User Equipment (UE), the e-Node-B (eNB) and edge cloud, were implemented on IRIS testbed (Ireland).   While the initial deployment of the E2E cellular network may be considered as static, DYNAMO showcases the elasticity that an E2E cellular network may need in runtime. Hence, we presented a use case consisting of a latency sensitive E2E cellular network (network slice), where the endpoint of the UE connection was initially located in the core (UVIGO) but then migrated to the edge (IRIS), in case the UE's latency ranges were unacceptable.   In this regard, the UE reported the experienced latency to Open Network Automation Platform (ONAP), which is responsible to trigger specific policy-driven control actions if a predefined Service-Level Agreement (SLA) is violated. This datased includes the reports provided by the UE to ONAP.   As a result, the endpoint of the data plane of the UE is automatically moved to the access network (IRIS) thus reducing significantly the latency for the UE.  For the access part of the network, we implemented one srsLTE e-Node-B (eNB), one srsLTE User Equipment (UE) and a Devstack (Edge Cloud) in virtual machines on IRIS testbed. In addition, we also implemented an SDN switch controlled by an ONOS SDN controller. For the core part of the network, we considered a disaggregated vEPC from Open Air Interface (OAI) on a Devstack (Core Cloud) at UVIGO.   DYNAMO has succeeded in the integration of a broad set of network elements and technologies between the two different domains (UVIGO and IRIS testbed) and fulfilled all initial objectives: (i) establishing communication between ONAP and IRIS testbed to deploy generic VNFs on core and edge clouds, (ii), deployment of an E2E cellular network with UE and eNB in IRIS and the vEPC at UVIGO, (iii), sending telemetry of the UE to ONAP and (iv) designing and testing closed-loop control actions in ONAP to migrate the data plane of the UE to the edge in case of unsatisfactorily SLA.  DYNAMO paves the way to a broad set of future 5G experiments that will require resource orchestration, such as the deployment of network slices or the automatic scheduling of services in the limited resources of Edge Clouds. This repository contains the information sent from the UE to ONAP, in order to decide if the latency between the UE and the PGW is OK or if an action has to be considered to reduce such latency.

opencc-by-4.0Jun 2021View details →

Environmental and AIS data collected during the EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network testbed

Environmental and AIS data collected during the H2020 project EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network (LOON) testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to  the LOON area (Gulf of La Spezia, Italy) Temperature measured across the water column in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for: i) Nov 12, 19-20, 23-24 - 2020 ii) Dec 1-4, 14-20 - 2020 iii) Jan 12-13, 15, 18-24, 27-28 - 2021 Meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for: i) Nov 12, 19-20, 23-24 - 2020 ii) Dec 1-4, 14-20 - 2020 iii) Jan 12-13, 15, 18-24, 27-28 - 2021 Sound velocity measured close to the surface (SVP1) and close to the sea bottom (SVP2) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for: i) Nov 12, 19-20, 23-24 - 2020 ii) Dec 1-4, 14-20 - 2020 iii) Jan 12-13, 15, 18-24, 27-28 - 2021 SVP2 data  missing for  Dec 14-20 (2020) and Jan 24, 27-28 (2021). Automatic Identification System (AIS) data for the ships transiting close to  the LOON area (Gulf of La Spezia, Italy). The dataset includes AIS data for: i) Nov 12, 19-20, 23-24 - 2020 ii) Dec 1-4, 14-20 - 2020 iii) Jan 12-13, 15, 18-24, 27-28 - 2021   For reference, see: "Environmental data collected on the CMRE LOON tested during the EUMR project: dataset description",  Petroccia, Roberto; Zappa, Giovanni; Cimino, Giampaolo; Grati, Alberto; Alves, João. CMRE-DA-2021-001. July 2021, available  at https://www.cmre.nato.int/research/publications/latest-techreports/1638-cmre-da-2021-001

opencc-by-4.0Aug 2021View details →

Indoor Wireless Deterministic Anycast Transmissions Data from the FIT IoT-Lab testbed

This dataset contains the raw openwsn results generated by indoor experiments. The data was collected on the <a href="https://www.iot-lab.info">FIT IoT-Lab</a> platform, using the m3 motes with a AT86RF231 radio chip, on the Grenoble's site. We rely on the following workflow: <ul> <li>a modified version of openwsn that implements anycast transmissions at the link layer (CCA branch, <a href="https://github.com/ftheoleyre/openwsn-fw/releases/tag/duocast-mswim21">https://github.com/ftheoleyre/openwsn-fw/releases/tag/duocast-mswim21</a>). The firmware is implemented in C, and is executed by the m3 motes;</li> <li>a modified version of openvisualizer (<a href="https://github.com/ftheoleyre/openvisualizer/releases/tag/mswim21">https://github.com/ftheoleyre/openvisualizer/releases/tag/mswim21</a>)</li> <li>a tool to process the dataset and compute the metrics: end-to-end reliability, number of transmissions, CCA events, etc. (<a href="https://github.com/ftheoleyre/openwsn-data/releases/tag/mswim21-duocast">https://github.com/ftheoleyre/openwsn-data/releases/tag/mswim21-duocast</a>)</li> </ul>

opencc-by-4.0Jan 2020View details →

Execution Traces of an MNIST Workflow on a Serverless Edge Testbed

For the evaluation of a Serverless Edge Computing platform, we built an Edge Cloud testbed consisting of several machines: <ul> <li>A Cloud VM</li> <li>An Nvidia Jetson TX</li> <li>Four Raspberry Pi 3b+</li> <li>Two Intel NUCs with i5 processors</li> </ul> We were interested in profiling these devices with a Machine Learning workflow deployed as a serverless application. To that end, we implemented three functions: Preprocessing, Training, and Serving as OpenFaaS functions. The workflow trains an MNIST model.

opencc-by-4.0Mar 2024View details →

SOCAT+USV sampling masks for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed

Here we provide sampling masks used in the study "Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling" (Heimdal et al., 2023, https://doi.org/10.5194/bg-2023-160). In this paper, we reconstruct surface ocean pCO2 using the Large Ensemble Testbed (Gloege et al., 2021, https://doi.org/10.1029/2020GB006788) and the pCO2-Residual method (Bennington et al., 2022, https://doi.org/10.1029/2021MS002960). We provide 11 different sampling masks that correspond to the experiments presented in Heimdal et al. (2023), which include different sampling patterns of USV Saildrones in the Southern Ocean (SOCAT+USV sampling).

opencc-by-sa-4.0Apr 2024View details →

Demonstration of "RO-Crate for Testbeds: Automated Packaging of Experimental Results"

Demonstrative experiment data of the paper "RO-Crate for Testbeds: Automated Packaging of Experimental Results". Demonstrator shows experimental artifacts as a RO-Crate package.

FIG. 11 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 11. — Epifaunal assemblage associated to Madrepora oculata Linnaeus, 1758 on the bathyal slope off Brittany. Reproduction of plate 6 of the book "Les profondeurs de la mer'' by Y. Le Danois (1948), Payot, Paris.

FIG. 10 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 10. — Harmelinius uniserialis (Harmelin, 1978), intramural budding: A, two old AZ and a KZ showing marks of repeated intramural budding; B, distal part of an old AZ with multiple nested calcified layers reducing the size of the orifice and of the opesia of the avicularium; C, AZ with lateral wall presenting several nested calcified layers; D, same AZ, proximal part of the costal shield and nested layers of the lateral wall; E, same AZ, distal part showing the reduced size of the orifice and the foramen; F, old AZ with a closure plate below the damaged costal shield; G, cystid of an old damaged AZ filled with a KZ with a central window; H, distal part of a colony covered by calcified deposits produced by tissues of a corallite of Solenosmilia variabilis Duncan, 1873. Origin: A, B, F, G, Hyères SMT, Stn DW 184; C, D, E, Hyères SMT, Stn DW 200; H, Tyro SMT, Stn DW 276. Scale bars: A, 200 µm; B, D, E, 50 µm; C, F, G, 100 µm; H, 400 µm.

FIG. 6 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 6. — Harmelinius uniserialis (Harmelin, 1978), different types of avicularia: A, "adnate" type (AV3) on an ovicelled AZ; B, "columnar" type (AV1); C, "giant" type (AV5) with three porous knobs, one incompletely formed, distal to the slightly prominent rostrum; D, "adnate" type, adventitious to an ovicelled AZ, with a large pore chamber and three porous knobs (inset: enlarged view of a knob); E, autozooid with five "pyramidal" morphs (AV4) budded from lateral walls; F, vicarious kenozooid with thickened cuticule persisting on the frontal gymnocyst and the central window; G, globular and pyramidal avicularia budded by the same AZ; H, three globular (AV2), one "giant" (AV5) and one "pyramidal" (AV4) avicularia budded by two AZ and a vicarious KZ with persistent cuticular layer; Origin: A, D, Tyro SMT, Stn DW 276; B, Hyères SMT, Stn DW 200; C, E, F, G, H, Tyro SMT, Stn DW 278. Scale bars: B, C, D, 50 µm; A, F, G, 100 µm; D, H, 200 µm.

FIG. 5 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 5. — Harmelinius uniserialis (Harmelin, 1978), structure of the ovicell: A, distal part of an ovicelled autozooid bearing two adnate avicularia (AV3), with open medial slit, and ooecial kenozooid budding a distal zooid; B, close-up of the same ovicell, medial slit showing the two layers of the bivalved ooecial wall, the dorsal window of the distal kenozooid with thick gymnocystal layers and oval opesia, and two lateral porous knobs; C, ovicell in formation showing the floor of the brood chamber budded by the maternal autozooid; D, broken ovicell showing the thickness of the frontal wall and the two proximal layers, and the foramen open through the transverse wall. Origin: A, B, C, Tyro SMT, Stn DW 276; D, Hyères SMT, Stn DW 184. Scale bars: A, C, D, 100 µm; B, 50 µm.

FIG. 1 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 1. — Geographical location and depth distribution of the 19 sampling stations of Harmelinius uniserialis (Harmelin, 1978). Abbreviations: AT, Atlantis Seamount; IR, Irving Seamount; HY, Hyères Seamount; ME, Great Meteor Seamount; PL, Plato Seamount; SM, Azores, São Miguel; TY, Tyro Seamount. Map downloaded from GEBCO 2019 Gridded Bathymety Data.

FIG. 9 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 9. — Harmelinius uniserialis (Harmelin, 1978), vicarious kenozooids: A, drawing of two interconnected KZ, laterally budded by 2 AZ; B, light photography of the same zooids; C, part of colony with seven variously shaped KZ connected to several AZ; D, two differently sized KZ budded from the lateral walls of two AZ; E, pentagonal KZ with proximal corner folded on the budding locus of the maternal zooid; F, frontal wall of a large KZ with central window open on a thick, multilayered wall, surrounded by seven porous knobs. Distansescharella d'Orbigny, 1853: G, D. alcicornis (Jullien, 1882), large vicarious KZ with central window, abutted on to an AZ and close to an adventitious avicularium; H, D. seguenzai Cipolla, 1921, reticulum formed by three small KZ with a central window surrounded by 2-5 conical spinous processes with a likely porous tip; I, D. alcicornis, avicularium with opesia and rostrum poorly differentiated, and proximal side folded on the maternal zooid. Origin: A, B, Azores, São Miguel bathyal slope, Biaçores Stn 197, 815 m (9A copied from Harmelin 1978, fig. 2); C, F, Hyères SMT, Stn DW 200; D, E, Tyro SMT, Stn DW 276; G, I, R/V Thalassa, Y434, 620 m, on Lophelia prolifera (Linnaeus, 1758); H, R/V Calypso, Stn 1902, Libya. Scale bars: A, B, D, F, 200 µm; C, 400 µm; E, G, H, 100 µm; I, 50 µm.

FIG. 4 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 4. — Harmelinius uniserialis (Harmelin, 1978), morphology of non ovicelled autozooids and ancestrula: A, autozooid (AZ) with two avicularia (AV1) and distal budding from the kenozooidal cap, budded from the lateral side of another AZ; B, AZ distal part with a AV1 avicularium, note the foramen through the transverse wall separating the AZ orifice from the kenozooidal cap (idem in A), the concave proximal edge of the orifice and the unequal size of costae; C, eroded kenozooidal cap showing its subconical chamber and the broken base of the AZ transverse wall; D, distal part of AZ showing the boundary between the kenozooidal cap and the orifice frame; E, ancestrula and AZ, note their contrasting sizes and the proximal budding by the ancestrula. Origin: A, B, C, Hyères SMT, Stn DW 200; D, E, Tyro SMT, Stn DW 276. Scale bars: A, B, E, 200 µm; C, D, 100 m.

FIG. 8 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 8. — Harmelinius uniserialis (Harmelin, 1978), drawings of five types of avicularia: A, "adnate" (AV3); B, "pyramidal" (AV4); C, "giant" (AV5); D, "columnar" (AV1); E, "globular" (AV2). Origin: copied from diverse SEM pictures. Scale bar: 50 µm.

FIG. 2 in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 2. — Harmelinius uniserialis (Harmelin, 1978), colonized substrates and general aspect of colonies: A, fragment of Madrepora oculata Linnaeus,1758; B, pebble; C, part of colony showing non-caudate autozooids, optical view; D, other aspect of the same colony, SEM view; E, part of colony with typical features. Origin: A, C, D, Hyères SMT, Stn DW 184; B, Irving SMT, Stn DW 251; E, Tyro SMT, Stn DW 276. Scale bars: A, B, 1 cm; C, D, 1 mm; E, 400 µm.

FIG. 7. — A in Biodiversity of bathyal coral gardens - portrait of a uniserial bryozoan endemic to the South Azorean Seamount Chain: an unexpected evolutionary testbed?

FIG. 7. — A, Glabrilaria pedunculata (Gautier, 1956), ovicelled zooid crowned by seven pedunculate avicularia; B, Cribrilaria cassidainsis Harmelin, 1984, colony edge with ten interzooidal avicularia. Origin: A, B, Mediterranean Sea, France, La Ciotat, 3PP Cave, 40-60 m inside; A, B, 20-24 m depth. Scale bars: A, 100 µm; B, 200 µm.