Towards the optimization of a parallel streaming engine for telco applications

Parallel and distributed computing is becoming essential to process in real time the increasingly massive volume of data collected by telecommunications companies. Existing computational paradigms such as MapReduce (and its popular open-source implementation Hadoop) provide a scalable, fault tolerant mechanism for large scale batch computations. However, many applications in the telco ecosystem require a real time, incremental streaming approach to process data in real time and enable proactive care. Storm is a scalable, fault tolerant framework for the analysis of real time streaming data. In this paper we provide a motivation for the use of real time streaming analytics in the telco ecosystem. We perform an experimental investigation into the performance of Storm, focusing in particular on the impact of parameter configuration. This investigation reveals that optimal parameter choice is highly non-trivial and we use this as motivation to create a parameter configuration engine. As first steps towards the creation of this engine we provide a deep analysis of the inner workings of Storm and provide a set of models describing data flow cost, central processing unit (CPU) cost, and system management cost. ©2014 Alcatel-Lucent

Open Government Data: Fostering Innovation

The provision of public information contributes to the enrichment and enhancement of the data produced by the government as part of its activities, and the transformation of heterogeneous data into information and knowledge. This process of opening changes the operational mode of public administrations, leveraging the data management, encouraging savings and especially in promoting the development of services in subsidiary and collaborative form between public and private entities. The demand for new services also promotes renewed entrepreneurship centred on responding to new social and territorial needs through new technologies. In this sense we speak of Open Data as an enabling infrastructure for the development of innovation and as an instrument to the development and diffusion of Innovation and Communications Technology (ICT) in the public system as well as creating space for innovation for businesses, particularly SMEs, based on the exploitation of information assets of the territory. The Open Data Trentino Project has initiated and fosters the process of opening of public information and develops as a natural consequence of this process of openness, the creation of innovative services for and with the citizens. In this paper we present how our project acts on long-chain, from raw data till reusable meaningful and scalable knowledge base that leads to the production of data reuse through the implementation of services that will enhance and transform the data into information capable of responding to specific questions efficiency and innovation

A flexible service selection for executing virtual services

[EN] With the adoption of a service-oriented paradigm on the Web, many software services are likely to fulfil similar functional needs for end-users. We propose to aggregate functionally equivalent software services within one single virtual service, that is, to associate a functionality, a graphical user interface (GUI), and a set of selection rules. When an end user invokes such a virtual service through its GUI to answer his/her functional need, the software service that best responds to the end-user s selection policy is selected and executed and the result is then rendered to the end-user through the GUI of the virtual service. A key innovation in this paper is the flexibility of our proposed service selection policy. First, each selection policy can refer to heterogeneous parameters (e.g., service price, end-user location, and QoS). Second, additional parameters can be added to an existing or new policy with little investment. Third, the end users themselves define a selection policy to apply during the selection process, thanks to the GUI element added as part of the virtual service design. This approach was validated though the design, implementation, and testing of an end-to-end architecture, including the implementation of several virtual services and utilizing several software services available today on the Web.This work was partially supported in part by SERVERY (Service Platform for Innovative Communication Environment), a CELTIC project that aims to create a Service Marketplace that bridges the Internet and Telco worlds by merging the flexibility and openness of the former with the trustworthiness and reliability of the latter, enabling effective and profitable cooperation among actors.Laga, N.; Bertin, E.; Crespi, N.; Bedini, I.; Molina Moreno, B.; Zhao, Z. (2013). A flexible service selection for executing virtual services. 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SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

Deriving ontologies automatically from XML schemas applied to the B2B domain

La communication entre systèmes d'information d'entreprise joue un rôle central dans l'évolution des processus d'affaire. Pourtant l'intégration des données reste compliquée : elle exige un effort humain considérable, surtout pour les connexions d'applications appartenant à différentes entreprises. Dans notre recherche nous affirmons que les technologies du Web Sémantique, et plus particulièrement les ontologies, peuvent permettre l'obtention de la flexibilité nécessaire. Notre système permet de surmonter certains manques dans l'état de l'art actuel et réalise une nouvelle approche pour la génération automatique d'ontologies à partir de sources XML. Nous montrons l'utilité du système en appliquant notre théorie au domaine du B2B pour produire automatiquement des ontologies de qualité et d expressivité appropriéeComputer mediated networks play a central role in the evolution of Enterprise Information Systems. However the integration of data in networked systems still remains harder than it really should be. In our research we claim that Semantic Web technologies, and specifically ontologies, are well suited to integrate this domain to fulfil current approaches and achieve the needed flexibility. For this we address the first step toward the business semantic communication with a system that overcomes some of the existing lacks in the state of the art and provides a new approach for the automatic generation of ontologies from XML sources. We show the usefulness of our system by applying our theory to the B2B domain and producing automatically ontologies of relevant quality and expressiveness.VERSAILLES-BU Sciences et IUT (786462101) / SudocSudocFranceF

RepXML: Experimenting an ebXML Registry to Store Semantics and Content of Business Messages

National audienc

Deriving Ontologies from XML Schema

National audienc

Automatic Ontology Builder from XSD Files

International audienc

Semantic technologies and e-business

In this chapter, we study what semantic technologies can bring to the e-business domain and how they can be applied to it. After an overview of the goals to be achieved by e-business applications we detail a large panel of existing e-business standards, with a specific focus on B2B (Business to Business) and their current modus operandi. Furthermore we also present some of the most relevant e-business ontologies. We then argue that the use of semantic technologies will simplify the automatic management of many e-business partnerships. However the construction of ontologies brings a new level of complexity that might be facilitated by automating the great part of the generation process. For this we have developed the Janus system, which is a prototype to help with the automatic derivation of ontologies from XML Schemas, the de-facto format adopted in e-business standard applications. Differently from existing systems it permits to retrieve automatically conceptual knowledge from large XML corpus sources and is based on the use of the Semantic Data Model for Ontology (SDMO) whose advantages are presented in this chapter