More than ever, reducing the cost of data integration by efficiently evaluating queries is an important challenge, given that today the economic cost in computing cycles (see your cloud invoice); and in energy consumption and the performance required for some critical tasks have become important. Besides, new applications require solving even more complex queries including millions of sources, and data with high levels of volume and variety. These new challenges call for intelligent processes that can learn from previous experiences, that can be adaptable to changing requirements and dynamic execution contexts.

Massive heterogeneous data integration is part of a continuum that starts with data, goes through sources and lands in knowledge extraction and decision making processes. Despite of the number of years of academic and industrial research and consolidated results, data integration is still an important topic with open issues like data quality, trusted data, data providers and processing operations, trusted infrastructures dealing with data, versus different understanding of what are trust, quality and acceptable levels of such properties according to different data consumers requirements.

Underlying approaches and algorithms continue to evolve particularly given the new levels of volume, velocity and value associated to data. Contemporary infrastructures for dealing with data are deployed in heterogeneous target architectures like cloud, multi-cloud, Internet of Things consisting of sensors and server farms deployed around the world. These infrastructures go beyond classic data management solutions and evolve towards different stacks configurations (data processing systems “a la carte”).  They need to cope to new notions of scalability and of resources consumption guided by economic models, service level agreements and other quality warranties.


The workshop STRAPS aims at promoting scientific discussion on the way data stemming from different providers and produced under different conditions can be efficiently integrated to answer simple, relational, analytical queries ensuring providers, algorithms and data trust.


We invite the submission of work-in-progress research addressing various aspects of data integration and processing done in service based infrastructures. The workshop welcomes submissions of technical, experimental, methodological papers, application papers, and papers on experience reports in real-life application settings addressing – though not limited to – the following topics:

  • SLA models for data integration / data management
  • Service based data processing and querying
  • Data services composition on cloud and multi-cloud
  • Trust and privacy cloud services
  • Data and service provenance
  • Data quality: evaluation, estimation, warranties
  • Microservices based systems
  • Polystores: architecture, querying and systems
  • Learning based data integration
  • Large-scale data integration
  • Data integration for smart applications


We expect papers written in English between 8 and 12 Springer’s LNCS pages long (Springer LNCS format), including references and Illustrations. Electronic submissions in PDF format can be proposed at the conference workshops submission site.

Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register and attend the workshop to present the paper. Registration is subject to the terms and conditions of ICSOC.

A selected number of papers will be invited to be submitted as extended versions to be published in an edition of Proceedings series « Advances in Computer Science Research ».

  • Papers Submission Deadline: August 13, Extended Deadline: August 31
  • Authors Notification Deadline: September 14, 2019
  • Early Registration Deadline: September 31, 2019
  • Workshops: October 28, 2019


  • Luciano Baresi, Politecnico di Milano, Italy
  • Khalid Belhajjame, Université Paris-Dauphine, France
  • Cheyma Ben Njima, MARS Lab, Tunisia
  • Khouloud Boukadi, FSEG, Tunisia
  • Dalila Chiadmi,  Mohammadia School of Engineers, Morocco
  • Walid Gaaloul, Telecom Sud Paris, France
  • Rima Gratti, Zayed University, EAU
  • Hicham Hajji, IAV, Maroc
  • Allel Hadjali, Ecole Nationale Supérieure de Mécanique et d’Aérotechnique, France
  • Faïza LOUKIL, Université Jean Moulin Lyon 3, France
  • Riadh Mokadem, IRIT, France
  • Martin A. Musicante, Universidade Federal do Rio Grande do Norte, Brazil  
  • Alex Palesandro, D2SI, France
  • Pierluigi Plebani, Politecnico di Milano, Italy
  • Plácido A. Souza Neto, Universidade Federal do Rio Grande do Norte, Brazil
  • Yehia Taher, Université de Versailles, France
  • Farouk Toumani, University of Clermont Ferrand, France


The STRAPS workshop has several partners from academia and industry: