1st International Symposium on Big Data in Cloud and Services Computing Applications (DaSCA'19)
Leipzig, Germany, 1 - 4 September, 2019
Big Data has received increasing attention in recent years, as organizations and cities are dealing with tremendous amounts of data with high complexity and velocity. These data are fast moving and changing in value, meaning and format. They also can originate from various sources, such as social networks, unstructured data from different devices or raw feeds from sensors. It, thus, challenges traditional data management approaches and tools related to performance, integration and analytics. One of the key challenges is how to use Cloud and Services Computing to process Big Data, build effective cloud applications, and provide service-based data analytics. However, there exists particularly limited knowledge on how to apply the Big Data technologies into Cloud and Services Computing applications. Therefore, this Special Session aims to discuss Big Data in Cloud and Services Computing Applications, and particularly focuses on the Big Data research from cloud and service-based perspectives. It also covers many dimensions of big data technologies, including system aspects, algorithmic, privacy and security, computational intelligence and innovative applications.
Provision of the above topics presents a new set of emerging issues and challenges that are expected to be identified by the research community. Therefore, we aim to provide a platform for discussing approaches, models, results and case studies or experience reports addressing a broad range of issues related to Big Data in Cloud and Services Computing Applications. Therefore, this special session intends to build a foundation for further empirical research to understand Big Data and its implications for Cloud and Services Computing Applications. Papers can include and discuss various research methods and can be based on case studies, quantitative methods, design science. In addition, practical oriented research and experience reports are encouraged.
The main topics of interests include (but are not limited to):
- Big Data Analysis and Visualization
- Cloud Computing Platforms, Applications and Management
- Services Computing
- Big Data in Smart Cities
- Networking and Communication Protocols for Cloud and Services Computing
- Reliability in Cloud and Services Computing
- Service Modeling, Specification and Ecosystems
- Big Data and Knowledge Management
- Service-oriented Architecture
- Enterprise Architectures and Services
- Cloud Management Platforms
- Data Mining and Data as a Service
- Hybrid Cloud Computing
- Recommender Distributed Systems
- Cloud and Services Computing Applications Performance and Monitoring
- Big Data Quality Management
- Authors should submit draft papers (as Postscript, PDF or MSWord file).
- The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar
- The selected paper will be invited to submit extended version of the paper for post-conference publication in one of the recognised journal indexed by JCR (with IF).
- Organizers reserve right to move accepted papers between FedCSIS events.