Special Track on Big Data Applications and Advanced Services
Description and Objectives
The areas of Big Data processing (IoT, cloud of linked data, data mining) and advanced services based on the most recent technologies (Web 3.0, Service Compositions, Systems of Systems) have been following a continuous and steady development over the last decades through the innovative research and practices of researchers, developers, and practitioners from academia, industry, governmental, and scientific organizations.
The term of Big Data has been coined for representing the challenge to support a continuous increase on the computational power that produces an overwhelming flow of data. Along with Cloud databases, Big Data databases have become important NoSQL data repositories (being non-relational, distributed, open-source, and horizontally scalable) in the enterprise and the science as the center for data analytics and processing, while enterprise data warehouses (EDWs) continue to support critical business analytics. This scenario has claimed for a paradigm shift in the computing architecture, large scale data processing, and analysis mechanisms. In general, this growing demand for large-scale data mining and data analysis applications has spurred the development of novel solutions from both the industry (e.g., analysis of web-data, clickstream, network-monitoring logs) and the science (e.g., analysis of data produced by massive-scale simulations, sensor deployments, telescopes, particle accelerators, genome sequencers).
Services on Internet have become increasingly complex and frequently used in highly distributed, dynamic, and open environments. They are becoming evolving software systems, where constituent services work cooperatively to fulfill specific, complex missions, facing software engineering researchers, and practitioners with substantial challenges. In parallel, Software Ecosystem has also become an important research topic in software engineering, addressing social issues along with technical aspects of software development.
It is expected then, that these both areas find an intersection and advance together: on one hand, we have a huge amount of data to be processed, on the other hand we need suitable services to manege it. Both areas are closely related, also naturally distributed.
The Special Track on Big Data Applications and Advanced Services aims to enable synergy between these areas and provides the premier venue to exchange ideas and experiences, analyze, present, and discuss latest research and development issues, and propose theoretical foundations related to research on combining both areas. The convergence of Advanced Services and Big Data applications will enforce the engineering of intelligent and innovative systems and services supported by mobile web, web 3.0 (semantic and ontologies), Restfull services, IoT, cloud of linked data, data mining, high performance applications, among others, in the context of Big Data.
Topics of interest may include, but are in no way limited, to:
- Data mining
- Big data architectures
- High performance applications for big data
- Big data services
- Cloud of linked data
- Mobile web
- Web 3.0 (semantic and ontologies),
- Restful services,
- Service composition,
- Uses cases
Papers that fail to comply with length limit will be rejected. Submissions will be peer-reviewed by at least 3 peer reviewers. After the preliminary notification date, authors rebut by evidence and arguments all reviewer inquiries and their comments. Based on the rebuttal feedback, reviewers notify authors with the final decision. Selection criteria will include: relevance, significance, impact, originality, technical soundness, and quality of presentation. Preference will be given to submissions that take strong or challenging positions on important emergent topics related to Digital Ecosystems. At least one author should attend the conference to present the paper.
Paper submission is available online via: EasyChair for MEDES 2017 website.
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Jose Aguilar, Universidad de Los Andes, Venezuela
Ana Aguilera, Universidad de Carabobo, Venezuela
Hernan Astudillo, Universidad Técnica Federico Santa María, Chile
Soumya Banerjee, Birla Institute of Technology
Hector Cancela, Universidad de la República, Uruguay
Mariela Curiel, Pontíficia Universidad Javeriana, Colombia
Joyce El Haddad, Université Paris Dauphine, France
Ernesto Exposito, Université de Pau et des Pays de l'Adour, France
Fekade Getahun, Addis Ababa University, Ethiopia
Maude Manouvrier, Université Paris Dauphine, France
Tarek Menouer, Université Paris Ouest Nanterre La Défense, France
Michael Mrissa, Université de Pau et des Pays de l'Adour, France
Davy Monticolo, University of Lorraine, France
Wilmer Pereira, Universidad Católica Andrés Bello/Universidad Simón Bolívar, Venezuela
Edna Ruckhaus, Universidad Politécnica de Madrid, Spain
Harold Vasquez, Universidad del Valle de Puebla, México
María Elena Villapol, Auckland University of Technology, New Zealand