BigCVEn 2017 - 2017 International Workshop on BIG data meets CLOUD and Virtualized Environment

During the last decade, the progress of Information and Communication Technologies (ICT) exponentially increased the quantity of information available. The resulting data is often called Big Data, being characterized by its important volume, high velocity and variety. Related issues concern the problem of managing, integrating, querying and visualizing such massive and heterogeneous data. Specific techniques and methods have been developed by the international community. Virtualized environments and their related applications have been identified as suitable for processing and managing such data. Still, other issues have been identified and several trends are emerging to address those issues.
On the one hand, cloud computing provides a powerful model to connect users to information resources from anywhere in the world. It has become a significant technology with several advantages including cost savings, access to greater computing resources, high availability, and scalability.
On the other hand, the advent of Semantic Web has raised new opportunities and challenges. In this context, Big Data and Linked Data are being an integral part of the web infrastructure, where massive amounts of connected or possibly interconnectable data, addressable via URIs/IRIs, are available. These technologies are paving the way of the Web of Data. Moreover, ontology-based systems have been recognized as interesting and promising in what concerns data interoperability, mainly because they handle formal representations of data over which one may perform reasoning. Given the underlying heterogeneity and complexity of Big Data, several research issues have been identified in domains such as: Enterprise Information Systems' Interoperability, Building Information Modeling (BIM), Bioinformatics, E-Health, E-Government.
The aim of the BigCVEn Workshop is to provide a forum to bring together scientists, researchers and practitioners interested in these emerging architectures and methodologies for capturing, storing, managing and analyzing massive, dispersed, interconnected data over the Web. It also aims to discuss the connection andor interaction between Web of Data/Linked Data and Big Data/Cloud Computing.
Topics for the workshop include, but are not limited to:
• Cloud computing/Mobile Cloud
Cloud Computing standards and technologies
Cloud Computing specifications and enhancements
Cloud Computing discovery and integration
Cloud Computing, cluster and high performance computing and storage infrastructure for massive data
Cloud Computing security and QoS
Cloud Computing applications and solutions
Cloud and Social Network Analysis
Mobile Cloud Computing applications
Mobile cloud resource management
Mobile cloud middleware
Mobile cloud architecture
Energy efficiency in Mobile Cloud computing
Context-aware mobile cloud computing
• Big Data processing, integration, vizualization
Large big data stream processing
Scalability in processing large data volumes
Integrating spatio-temporal aspects in Big Data
Multiple data source processing
Big Data integration
Big Data Visualization
Mobile data analytics
Social Media Big Data
• Web Services, Virtualized systems and Applications
Web application development on virtualized infrastructures and platform
Web information handling on virtualized storage
Web applications on Cloud infrastructure Virtualized RDF data indexing and storage
Virtualized Systems security, privacy, and trust
Data management and mining in social Web
Web advertising and community analysis
Web-based collaboration
Web service and information management
Virtual communities on the cloud
Design and analysis of social or collaborative applications
Cloud and service compuing
Enterprise Information Systems' Interoperability
• Use cases, Practical application of Big Data techniques, Big Data issues in:
Bioinformatics, Cheminformatics and Hydroinformatics
Building Information Modeling (BIM)
Geographic Information Systems (GIS)
Disaster Management
Social Networks
• Applications, Evaluations, and Experiences in
E-Business, Social Networks
Bioinformatics and Translational Medicine
Epidemic Intelligence, Health Informatics, E-Health
Agronomic and Environmental field
E-Government
Enterprise Information Systems' Interoperability
Building Information Modeling