New Trends in Adaptive Smart Systems, Services, and Architectures - SI at Wiley CCPE




New Trends in Adaptive Smart Systems, Services, and Architectures - AROSA2017 at Wiley CCPE

(Impact Factor: 0.942)

Smart Systems are composed of interconnected nodes (devices, services, components, etc.) that can be intelligent, mobile, embedded, cloud-based, or/and adaptive. These nodes interact together through new communication protocols. Architectures of such system needs to adapt its behavior and deals with change in the environment. An adaptive and reconfigurable architecture can repair itself if any execution problems occur, in order to successfully complete its own execution. In the design of an adaptive and reconfigurable software system, several aspects have to be considered. Also other emerging areas such as Big data can also be used to solve traditional problems of Smart Systems, like scalability and performance.

Topics
For this track, contributions are devoted to functional and non functional adaptability and reconfiguration management in service-oriented and component-based software systems. Specifically, the relevant topics include, but are not limited to:
  • Monitoring simple and composite architectures, components and services
  • Dynamic reconfiguration of cloud and smart applications
  • Internet of things for smart systems
  • Cloud-based Smart Systems
  • Design for the diagnosability and repairability
  • Big data for smart systems
  • Mobile collaboration platforms and services
  • Predictive management of adaptability
  • Experiences in practical adaptive and reconfigurable architectures, services, and smart applications
  • Tools and prototypes for managing adaptability of smart applications
  • Smart systems architectures: Modeling, Validation, Verification, Scaling
Guest Editors
Khalil Drira, LAAS-CNRS and Univ de Toulouse, France
Mohamed Jmaiel, ReDCAD, Univ of Sfax, Tunisia
Guest Editorial Board
Mehmet Aksit Univ of Twente, Nederland
Isabelle Borne Univ de Bretagne Sud, France
Christophe Chassot LAAS-CNRS, France
Anis Charfi Carnegie Mellon Univ, Qatar
Marco Comuzzi UNIST, Korea
Marcos Da Silveira CRP Henri Tudor, Luxembourg
Flavia Delicato Federal Univ of Rio de Janeiro (UFRJ), Brazil
Mehdi Ahmed Nacer Univ des Sciences et de la Technologie Houari Boumediene, Algeria
Mohammed Erradi Ensias, Marocco
Nikolaos Georgantas INRIA, France
Francisco Moo-Mena FMAT-UADY, mexico
Mohamed Mosbah LaBRI - Univ of Bordeaux, France
Elisa Yumi Nakagawa Univ of Sao Paulo, Brazil
Mourad Oussalah LINA Laboratory, Univ of Nantes, France
Saul Pomares INAOE, Mexico
Claudia Raibulet Univ of Milano-Bicocca, Italy
Salah Sadou IRISA, Univ of South Brittany, France
Mohamed Sellami ISEP, Paris, France
Chouki Tibermacine LIRMM, CNRS,Montpellier II Univ, France
Qi Yu Rochester Institute of Technology, USA
Haibin Zhu Nipissing Univ, Canada
Amal Gassara CRNS, Tunisia
Nesrine KhabouUniv of Sfax, Tunisia
Cecilia Rubira Institute of Computing, UNICAMP, Brazil
Slim KallelUniv of Sfax, Tunisia
Ismael Bouassida RodriguezUniv of Sfax, Tunisia
Samir TataIBM, USA
Dimka Karastoyanova Kuhne Logistics Univ, Hamburg, Germany
Cinzia Cappiello Politecnico di Milano, Italy
Henry Muccini University of L'Aquila, Italy
Sakkaravarthi Ramanathan E.G.S Pillay Engineering College, India
Bernd Freisleben Univ of Marburg, Germany