Recursive internetwork architecture, investigating RINA as an alternative to TCP/IP (IRATI)

Driven by the requirements of the emerging applications and networks, the Internet has become an architectural patchwork of growing complexity which strains to cope with the changes. Moore’s law prevented us from recognising that the problem does not hide in the high demands of today’s applications but lies in the flaws of the Internet’s original design. The Internet needs to move beyond TCP/IP to prosper in the long term, TCP/IP has outlived its usefulness. The Recursive InterNetwork Architecture (RINA) is a new Internetwork architecture whose fundamental principle is that networking is only interprocess communication (IPC). RINA reconstructs the overall structure of the Internet, forming a model that comprises a single repeating layer, the DIF (Distributed IPC Facility), which is the minimal set of components required to allow distributed IPC between application processes. RINA supports inherently and without the need of extra mechanisms mobility, multi-homing and Quality of Service, provides a secure and configurable environment, motivates for a more competitive marketplace and allows for a seamless adoption. RINA is the best choice for the next generation networks due to its sound theory, simplicity and the features it enables. IRATI’s goal is to achieve further exploration of this new architecture. IRATI will advance the state of the art of RINA towards an architecture reference model and specifcations that are closer to enable implementations deployable in production scenarios. The design and implemention of a RINA prototype on top of Ethernet will permit the experimentation and evaluation of RINA in comparison to TCP/IP. IRATI will use the OFELIA testbed to carry on its experimental activities. Both projects will benefit from the collaboration. IRATI will gain access to a large-scale testbed with a controlled network while OFELIA will get a unique use-case to validate the facility: experimentation of a non-IP based Internet

Experimental evaluation of a recursive internetwork architecture prototype

The Recursive InterNetwork Architecture (RINA) is a recently proposed network architecture based on first principles, which promises to solve a number of issues present in the current Internet such as the lack of inherent security. In this paper, we present the experimental evaluation of the first performance-oriented implementation of RINA, the IRATI stack. Our open source stack is designed for GNU/Linux Operating Systems, with key components developed in kernel space for optimal performance. After briefly introducing the architecture, we present the main features of the stack, give some details about the implementation and discuss some trade-offs that had to be taken into account. We present use case scenarios for the evaluation, which were implemented in a test environment, and present the performance, achieving a goodput close to line rate on a GbE link, even when multiple Distributed Inter Process Communication Facilities (DIFs) are stacked

Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale

Current and upcoming Sun-Induced chlorophyll Fluorescence (SIF) satellite products (e.g., GOME, TROPOMI, OCO, FLEX) have medium-to-coarse spatial resolutions (i.e., 0.3–80 km) and integrate radiances from different sources into a single ground surface unit (i.e., pixel). However, intrapixel heterogeneity, i.e., different soil and vegetation fractional cover and/or different chlorophyll content or vegetation structure in a fluorescence pixel, increases the challenge in retrieving and quantifying SIF. High spatial resolution Sentinel-2 (S2) data (20 m) can be used to better characterize the intrapixel heterogeneity of SIF and potentially extend the application of satellite-derived SIF to heterogeneous areas. In the context of the COST Action Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits (SENSECO), in which this study was conducted, we proposed direct (i.e., spatial heterogeneity coefficient, standard deviation, normalized entropy, ensemble decision trees) and patch mosaic (i.e., local Moran’s I) approaches to characterize the spatial heterogeneity of SIF collected at 760 and 687 nm (SIF760 and SIF687, respectively) and to correlate it with the spatial heterogeneity of selected S2 derivatives. We used HyPlant airborne imagery acquired over an agricultural area in Braccagni (Italy) to emulate S2-like top-of-the-canopy reflectance and SIF imagery at different spatial resolutions (i.e., 300, 20, and 5 m). The ensemble decision trees method characterized FLEX intrapixel heterogeneity best (R2 > 0.9 for all predictors with respect to SIF760 and SIF687). Nevertheless, the standard deviation and spatial heterogeneity coefficient using k-means clustering scene classification also provided acceptable results. In particular, the near-infrared reflectance of terrestrial vegetation (NIRv) index accounted for most of the spatial heterogeneity of SIF760 in all applied methods (R2 = 0.76 with the standard deviation method; R2 = 0.63 with the spatial heterogeneity coefficient method using a scene classification map with 15 classes). The models developed for SIF687 did not perform as well as those for SIF760, possibly due to the uncertainties in fluorescence retrieval at 687 nm and the low signal-to-noise ratio in the red spectral region. Our study shows the potential of the proposed methods to be implemented as part of the FLEX ground segment processing chain to quantify the intrapixel heterogeneity of a FLEX pixel and/or as a quality flag to determine the reliability of the retrieved fluorescence

Profile of Problem-Solving Ability in Junior High School Students on Global Warming Lesson Material

Objective: This study aims to determine the profile of problem-solving ability in junior high school students on global warming. Method: This research is preliminary. The study used a quantitative-descriptive research type and a purposive-sampling method. The instrument included a problem-solving ability test with four questions based on the Polya indicator on global warming lesson materials. The research sample consisted of 33 students from class VII-B, JHS Al-Miftah 4 Karang Anyar Ketapang Timur Sampang District East Java Province, who had previously received global warming lesson materials. The research data was analyzed by calculating the average score of the indicator student's problem-solving ability in the form of a percentage. Result: The results were as follows: the interpretation of problem-solving abilities in students is still dominant in the "Very Less" category with a score of 43%, and the overall average value of problem-solving abilities obtained based on indicators of problem-solving abilities gets of 32.25% belonging to the category "Not enough." Novelty: Analysis of problem-solving abilities can be a reference and a means of developing self-ability related to problem-solving abilities in the school environment, considering that solving abilities have yet to be highlighted too much, especially in remote areas. Problem-solving abilities are still a problem in the world of education, so further research is needed as a means to improve students' problem-solving abilities

Produksi dan Kualitas Telur Itik Alabio di Daerah Sentra Peternakan Desa Sungai Pandan, Kabupaten Hulu Sungai Utara, Kalimantan Selatan

Penelitian ini merupakan penelitian deskriptif dengan menggunakan 20 itik Alabio betina siap bertelur dengan rentang usia 6 bulan dan untuk pemeriksaan kualitas telur untuk masing-masing kelompok 10 sampel. Pengamatan tingkat produksi telur dilakukan selama tiga bulan dengan 10 pengulangan, kualitas telur (ketebalan kulit telur, persentase kulit telur, persentase kulit telur, persentase albumin, persentase kuning telur, huagh unit, warna kuning telur, kadar protein dan lemak kandungan). Data produksi telur dan kualitas telur diuji menggunakan uji Anova. Hasil pengamatan rata-rata produksi harian telur 15.45 ± 0.12, 14.72 ± 0.10, 14.91 ± 0.09; produksi berat harian (kg/hari) 925.27 ± 7.50, 875.40 ± 6.32, 884 ± 5.03; hasil dari ketebalan kulit telur kualitas 0.33 ± 0.01, 0.33 ± 0.12, 0.33 ± 0.12; persentase kulit telur 11.32 ± 0.93, 11.28 ± 0.10, 11.36 ± 0.05; persentase albumin 55.70 ± 1.08, 56.66 ± 1.22, 56.12 ± 1.00; persen kuning telur 32.07 ± 1.24, 31.55 ± 1.48, 31.64 ± 1.20; Haugh unit 88.70 ± 6.21, 91.41 ± 6.70, 94.51 ± 5.06. Warna kuning masing-masing memiliki skor 15. Dapat disimpulkan bahwa produksi dan kualitas telur itik Alabio baik

Y tú, ¿qué escuchas? Investigación EAFIT estudia el sonido en los audífonos

Este producto forma parte de una serie de videos de divulgación científica que buscan reseñar algunas de las investigaciones más importantes en las que ha tenido participación la Universidad EAFIT, publicadas en las revistas especializadas más prestigiosas del mund