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In this paper, we propose a simple generic model to manage time series. Atime series is composed of a calendar with a typed value for each calendarentry. Although the model could support any kind of XML typed values, in thispaper we focus on real numbers, which are the usual application. We definebasic vector space operations (plus, minus, scale), and also relational-likeand application oriented operators to manage time series. We show the interestof this generic model on two applications: (i) a stock investment helper; (ii)an ecological transport management system. Stock investment requireswindow-based operations while trip management requires complex queries. Themodel has been implemented and tested in PHP, Java, and XQuery. We showbenchmark results illustrating that the computing of 5000 series of over100.000 entries in length - common requirements for both applications - isdifficult on classical centralized PCs. In order to serve a community of userssharing time series, we propose a P2P implementation of time series by dividingthem in segments and providing optimized algorithms for operator expressioncomputation.

Gestion efficace de s\'eries temporelles en P2P: Application \`a l'analyse technique et l'\'etude des objets mobiles