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Automated Setup of Multi-Cloud Environments for Microservices Applications
No full textInternational audienceMulti-cloud computing has been proposed as a way to reduce vendor dependence, comply with location regulations, and optimize reliability, performance and costs. Meanwhile, microservice architectures are becoming increasingly popular in cloud computing as they promote decomposing applications into small services that can be independently deployed and scaled, thus optimizing resources usage. However, setting up a multi-cloud environment to deploy a microservices-based application is still a very complex and time consuming task. Each microservice may require different functionality (e.g. software platforms, databases, monitoring and scalability tools) and have different location and redundancy requirements. Selection of cloud providers should take into account the individual requirements of each service, as well as the global requirements of reliability and scalability. Moreover, cloud providers can be very heterogeneous and offer disparate functionality, thus hindering comparison. In this paper we propose an automated approach for the selection and configuration of cloud providers for multi-cloud microservices-based applications. Our approach uses a domain specific language to describe the application's multi-cloud requirements and we provide a systematic method for obtaining proper configurations that comply with the application's requirements and the cloud providers' constraints
Les terres cuites grecques : Pour qui ? Pourquoi ? Comment ?
No full textInternational audienceLes recherches menées à l’université de Lille depuis une trentaine d’années sur la coroplathie ont donné lieu à une exposition tenue en mars 2016 à l'Université de Lille. Trois sections répondant aux questions Pour qui ? Pourquoi ? Comment ? ont présenté les deux problématiques successives des recherches lilloises : l’étude d’un artisanat et de ses procédés de fabrication de masse ; l’archéologie de la religion, avec la définition de la fonction des figurines, dans le sanctuaire et la tombe
Indian Electronic Theses and Dissertations: Shodhganga, a platform for improving quality of research in Indian Universities
No full textInternational audienceIn India there are 744 Universities which offer Graduate Degrees, Post Graduate Degrees and other relevant courses. 50% of the Universities are awarding PhDs based on the research conducted by scholars/academicians under the supervision of PhD guides who are generally Professors, Scientists etc. There was no attempt at national level in India to digitise or keep archives of PhD theses in one platform before this ETD initiative as two universities initiated the digitisation process of Theses at their respective universities. "Shodhganga" is the first initiative in India to provide a platform for research scholars to deposit their PhD theses and make it available to the entire scholarly community in open access mode. As such, Shodhganga set-up by the INFLIBNET Centre, an IUC of UGC, Min. of HRD, Govt. of India is standardised as a repository in the nation by hosting more than 83000 full text theses from more than 250 Universities.The word "Shodh" originates from Sanskrit and stands for research and discovery Ganga is a popular river with its root in Indian culture and civilization.Universities are encouraged to sign an MoU with INFLIBNET Centre for joining Shodhganga, subsequently, 270+, universities came forward to sign the MoU and contribute to the repository. CFTIs (Centrally Funded Technical Institutes) like IITs, IIMs, NITs, etc. are also directed by Min of HRD to deposit their research output in order to make Shodhganga as a National portal of theses and Shodhgangotri with synopses.Signatory Universities which sign MoU on Shodhganga with INFLIBNET Centre usually get financial assistance from the UGC for digitization of back lists of theses, funds for setting-up of ETD Laboratory and getting access to plagiarism detection software.Shodhganga portal has unique features and functionalities such as (i) Open access repository of Indian theses for world wide access, (ii) Customized ingestion interface for ease of submission of theses using DSpace,(iii) Integration with Theses Database of IndCat (with 2.66 Lacs bibliographic data), (iv) Visually linked browser;(v) Multi-lingual support for theses hosted in the repository. Hindi, Gujarati, Tamil, Sanskrit, Malayalam, Urdu, Marathi already enabled and many other features for easy navigation through the theses.There are different discovery tools to get relevant information and knowledge snippets from the research output in Shodhganga. These tools are categorised into two types viz-a-viz Search and Browse. Seaching enable the user to do simple search witha word or sentence, advance search with boolean operators, subject wise search basedon WoS subjects and LoC subjects, and Google API to find information from the theses' content.Strategy, design, workflow, status, growth and use of Indian ETD repository is discussed in the poster which highlight the efforts made by INFLIBNET as well as UGC for bringing quality in Indian Research through the project called Shodhganga
Multispectral Demosaicing Using Intensity in Edge-Sensing and Iterative Difference-Based Methods
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Modeling Urban Behavior by Mining Geotagged Social Data
No full textInternational audienceData generated on location-based social networks provide rich information on the whereabouts of urban dwellers. Specifically, such data reveal who spends time where, when, and on what type of activity (e.g., shopping at a mall, or dining at a restaurant). That information can, in turn, be used to describe city regions in terms of activity that takes place therein. For example, the data might reveal that citizens visit one region mainly for shopping in the morning, while another for dining in the evening. Furthermore, once such a description is available, one can ask more elaborate questions. For example, one might ask what features distinguish one region from another – some regions might be different in terms of the type of venues they host and others in terms of the visitors they attract. As another example, one might ask which regions are similar across cities. In this paper, we present a method to answer such questions using publicly shared Foursquare data. Our analysis makes use of a probabilistic model, the features of which include the exact location of activity, the users who participate in the activity, as well as the time of the day and day of week the activity takes place. Compared to previous approaches to similar tasks, our probabilistic modeling approach allows us to make minimal assumptions about the data – which relieves us from having to set arbitrary parameters in our analysis (e.g., regarding the granularity of discovered regions or the importance of different features). We demonstrate how the model learned with our method can be used to identify the most likely and distinctive features of a geographical area, quantify the importance features used in the model, and discover similar regions across different cities. Finally, we perform an empirical comparison with previous work and discuss insights obtained through our findings
The TALIE Project: Digital Editing of Ancient Classical Texts for Both Specialists and Non-Specialists
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De la modélisation à l’informatisation : Perspectives des langues de moindre diffusion
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Predictive spatio-temporal model for spatially sparse global solar radiation data
No full textInternational audienceThis paper introduces a new approach for the forecasting of solar radiation series at a located station for very short time scale. We built a multivariate model in using few stations (3 stations) separated with irregular distances from 26 km to 56 km. The proposed model is a spatio temporal vector autoregressive VAR model specifically designed for the analysis of spatially sparse spatio-temporal data. This model differs from classic linear models in using spatial and temporal parameters where the available pre-dictors are the lagged values at each station. A spatial structure of stations is defined by the sequential introduction of predictors in the model. Moreover, an iterative strategy in the process of our model will select the necessary stations removing the uninteresting predictors and also selecting the optimal p-order. We studied the performance of this model. The metric error, the relative root mean squared error (rRMSE), is presented at different short time scales. Moreover, we compared the results of our model to simple and well known persistence model and those found in literature