BDMICS 2017 - 2nd International Workshop on Big Data Management in Cloud Systems

Big data management in large-scale distributed systems and new applications that require voluminous, distributed, heterogeneous and dynamic data is the subject of many research. These research leaded, principally, in Cloud computing topics will make considerable impact on the viability of the next generation of large-scale data management systems for big data applications. Today, these topics require more research in order to raise still open challenges like scalability, elasticity, consistency, security and autonomic data management.
Topics of interest include but are not limited to:
Big Data Science and Foundation
Big Data Infrastructures
Big Data Analytics
Big Data Storage and Management
Data Integration and Metadata Management
Data Stream Systems
Query Languages
Dynamic Data Placement Issues
Flexible and Adaptive Query Processing
Support for Scalable and Elastic Services
Query Processing and Optimization
Big Data Warehousing
Cost Models in Heterogeneous Environments
Economic Pricing Models
Dynamic Resource Management, Reservation, and Scheduling
Multi-tenancy and Workload Isolation
Locating Data Sources/Resources and Scalabilty
Web Services
Workload Adaptability in Heterogeneous Environments
Transaction Management
Replicated Copy Control and Caching
Big Data Privacy and Security
Big Data Applications for Vertical Industries
Mobile Cloud Computing
Large Scale Distributed Applications and Experiences
Performance Evaluation and Benchmarking