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Special Session
Special Session on
Appliances for Data-Intensive and Time Critical Applications
 - ADITCA 2019

2 - 4 May, 2019 - Heraklion, Crete, Greece

Within the 9th International Conference on Cloud Computing and Services Science - CLOSER 2019


Marta Patiño-Martinez
Universidad Politécnica de Madrid

Brief Bio
Marta Patiño-Martínez received her Ph.D. in Computer Science from Universidad Politécnica de Madrid in 1999. In 2000 she co-founded the Distributed Systems Lab at the same University. She is currently Director of the Distributed Systems Lab (LSD) at UPM. Her main research interests are distributed and scalable systems, middleware and cloud platforms. She has published more than 100 research papers with over 2,200 citations (Google Scholar). She is the Project Coordinator the FP7 projects LeanBigData and CoherentPaaS and was Project Coordinator of the FP7 CumuloNimbo project. She is the Project Coordinator of the national research project CloudStorm (2010-2013). She is a Researcher in the Stream, 4Caast, MASSIF and IOLanes FP7 projects. She is co-founder of the joint research institute COM between Santander bank and UPM. She is co-founder of LeanXcale the start-up created to commercialize the results of the projects that UPM-LSD has coordinated in the last years.
Florent Masseglia

Brief Bio
Florent Masseglia is Research Director at INRIA. He works in Montpellier, in the Zenith team of INRIA on the analysis of very large scientific data. These data, derived from observations, experiments and simulation are indeed complex, often very large, and are at the heart of important issues to better understand the studied domains (agronomy, biology, medicine). He did his PhD in computer science at Montpellier in co-supervision with the University of Saint-Quentin en Yvelines (graduated in 2001), in the area of knowledge discovery from databases. Until 2010 he worked in Sophia Antipolis on the development and application of these techniques for knowledge discovery in areas related to usage (such as navigation on Web sites) and large amounts of data.


The current cloud landscape is getting populated with many applications that are being migrated to the cloud due to its convenience and ease of use. However, there are still applications that are not frequent in the cloud. These are data-intensive and time critical applications. Data intensive applications, in the best case, experience bad performance in the cloud as current cloud database infrastructure fails to satisfy high loads and does not provide predictable performance. Many critical applications run today on mainframes due to their high resilience and high performance. This workshop will be a dedicated forum to data-intensive and time critical applications and promising related research topics like, e.g., hardware enabling in-memory databases, in-memory scale-up operational databases, or high availability/efficiency.


  • New Efficient Hardware Enabling In-Memory Databases
  • In-Memory Scale-up Operational Database
  • Many-Core Fast In-Memory Analytical Engine
  • High Availability
  • Dynamic migration
  • High Efficiency and Predictable Performance


Paper Submission: March 10, 2019 (expired)
Authors Notification: March 15, 2019 (expired)
Camera Ready and Registration: March 25, 2019 (expired)


Antoine Chambille, ActiveViam, France
Claudine Chouet, .ATOS, France
Fábio Coelho, INESC TEC & Universidade do Minho, Portugal
Ricardo Jimenez-Peris, LeanXcale, Spain
Helen Leligou, University of West Attica, Greece
Panagiotis Trakadas, Technological Educational Institute (TEI) of Sterea Ellada, Greece
Patrick Valduriez, INRIA - Sophia Antipolis Méditeranné, France
Terpsichori-Helen Velivasaki, SingularLogic S.A., Greece
Etienne Walter, Atos, France


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by The DBLP Computer Science Bibliography, Web of Science / Conference Proceedings Citation Index, Engineering Index (EI), SCOPUS, Semantic Scholar and Google Scholar.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


CLOSER Special Sessions - ADITCA 2019