HADAS a team from Grenoble Informatics Laboratory

Optimisation and evaluation on data services based queries

LOPEZ ENRIQUEZ Carlos Manuel
under the direction of Christine COLLET and Genoveva VARGAS SOLAR
Funding:  ANR OPTIMACS

Today there is a need to query large amounts of widely distributed data that are produced by different sources of data viewed as services (eg, sensors, devices, networks). Optimization of query evaluation based on services is a significant challenge to get the right information at the right place at the right time in an efficient way. This means to be able to evaluate classic queries, mobile and continuous queries by coordinating services that are nomad and static data providers producing data continuously or in batch. The theme of the thesis deals with multi-objective optimization of queries implemented by services coordinations (ie, query workflow). The idea is to provide a tool for enabling efficient access to data services, capable of optimizing query evaluation implemented by a services coodination. The objective is to combine services, and data streams with query evaluation while considering aspects of quality of service associated with the use of services.