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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by DBLP, Web of Science / Conference Proceedings Citation Index, EI, SCOPUS, Microsoft Academic, Semantic Scholar and Google Scholar.


ADITCA 2019Special Session on Appliances for Data-Intensive and Time Critical Applications
Chair(s): Marta Patiño-Martinez and Florent Masseglia

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

Paper Submission: June 4, 2019 (expired)
Authors Notification: June 12, 2019 (expired)
Camera Ready and Registration: June 21, 2019 (expired)


Marta Patiño-Martinez
Universidad Politécnica de Madrid
Florent Masseglia

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 a subset of 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.