TimeSeries

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Revision as of 17:46, 5 November 2012 by Leonardo.candela (Talk | contribs) (Overview)

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TimeSeries offers facilities supporting the management of the entire life-cycle (creation, curation, manipulation and publication) of datasets representing time series, i.e. tabular data representing observations of a given event or phenomenon at different time intervals. Time series are used in many domains ranging from statistics to signal processing and econometrics.

TimeSeries offers a rich set of facilities ranging from those supporting the assessment of data correctness to those supporting the verification of the compliance of data with given code lists, the aggregation and filtering of data.

This document outlines the design rationale, key features, and high-level architecture, as well as the options deployment.

Overview

The goal of this service is to offer a single entry for processing, assessing and harmonizing time series.

The service is able to import data using different protocols.


Design

Philosophy

This represents an endpoint for users who want to process time series in order to extract information.

Architecture

The subsystem comprises the following components:

  • TimeSeries service: the service core;
  • TimeSeries client library: a library to connect to the service.

A diagram of the relationships between these components is reported in the following figure:

TimeSeries service Architecture

Deployment

All the components of the service must be deployed together in a single node. This subsystem can be replicated on multiple hosts and scopes, this does not guarantee a performance improvement because this is associated to the requests which are made towards the database.

Small deployment

The deployment follows the schema of the Architecture

Use Cases

Well suited Use Cases

The Service is particularly suited to support processing on large dataset of time series and to collect statistics on such data.

Subsystems