Performance Analysis of Publish/Subscribe Systems

The Desktop Grid offers solutions to overcome several challenges and to answer increasingly needs of scientific computing. Its technology consists mainly in exploiting resources, geographically dispersed, to treat complex applications needing big power of calculation and/or important storage capacity. However, as resources number increases, the need for scalability, self-organisation, dynamic reconfigurations, decentralisation and performance becomes more and more essential. Since such properties are exhibited by P2P systems, the convergence of grid computing and P2P computing seems natural. In this context, this paper evaluates the scalability and performance of P2P tools for discovering and registering services. Three protocols are used for this purpose: Bonjour, Avahi and Free-Pastry. We have studied the behaviour of theses protocols related to two criteria: the elapsed time for registrations services and the needed time to discover new services. Our aim is to analyse these results in order to choose the best protocol we can use in order to create a decentralised middleware for desktop grid

Parallelization of Littlewood-Richardson Coefficients Computation and its Integration into the BonjourGrid Meta-Desktop Grid Middleware

International audienceThe aim of this paper is to show how to parallelize a compute intensive application in mathematics (Group Theory) for an institutional Desktop Grid platform coordinated by a meta-grid middleware named BonjourGrid. The paper is twofold: first of all, it shows how to parallelize a sequential program for a multicore CPU which participates in the computation and second it demonstrates the effort for launching multiple instances of the solutions for the mathematical problem with the BonjourGrid middleware. BonjourGrid is a fully decentralized Desktop Grid middleware. The main results of the paper are: a) an efficient multi-threaded version of a sequential program to compute Littlewood- Richardson coefficients, namely the Multi-LR program and b) a proof of concept, centered around the user needs, for the BonjourGrid middleware dedicated to coordinate multiple instances of programsfor Desktop Grids and with the help of Multi-LR. In this paper, the scientific work consists in starting from a model for the solution of a compute intensive problem in mathematics, to incorporate the concrete model into a middleware and running it on commodity PCs platform managed by an innovative meta Desktop Grid middleware

Déploiement de la plate-forme SlapOS dans l'environnement Grid'5000

Ce document explique comment utiliser la plate-forme de cloud computing SlapOS dans Grid'5000. Il détaille à la fois les points clés de SlapOS, son intégration ainsi que les points bloquants qui ont été levés afin de permettre à un utilisateur de Grid'5000 de monter une expérience avec SlapOS

Towards an Environment for doing Data Science that runs in Browsers

International audience—This article proposes a path for doing Data Science using browsers as computing and data nodes. This novel idea is motivated by the cross-fertilized fields of desktop grid computing, data management in grids and clouds, Web technologies such as Nosql tools, models of interactions and programming models in grids, cloud and Web technologies. We propose a methodology for the modeling, analyzing, implemention and simulation of a prototype able to run a MapReduce job in browsers. This work allows to better understand how to envision the big picture of Data Science in the context of the Javascript language for programming the middleware, the interactions between components and browsers as the operating system. We explain what types of applications may be impacted by this novel approach and, from a general point of view how a formal modeling of the interactions serves as a general guidelines for the implementation. Formal modeling in our methodology is a necessary condition but it is not sufficient. We also make round-trips between the modeling and the Javascript or used tools to enrich the interaction model that is the key point, or to put more details into the implementation. It is the first time to the best of our knowledge that Data Science is operating in the context of browsers that exchange codes and data for solving computational and data intensive programs. Computational and data intensive terms should be understand according to the context of applications that we think to be suitable for our system