MBDS 2013 - Special track on Management of Big Data Systems

Data is growing at an exponential rate and several systems have emerged to store and analyze such large amounts of data. These systems, termed “Big Data systems” are fast-evolving. Examples include the NoSQL storage systems, Hadoop Map-Reduce, data analytics platforms, search and indexing platforms, and messaging infrastructures. These systems address needs for structured and unstructured data across a wide spectrum of domains such as Web, social networks, enterprise, cloud, mobile, sensor networks, multimedia/streaming, and cyberphysical and high performance systems; and for multiple application verticals such as biosciences, healthcare, transportation, public sector, energy utilities, oil and gas, and scientific computing.
With increasing scale and complexity, managing these Big Data systems to cope with failures and performance problems is becoming non-trivial. New resource management and scheduling mechanisms are also needed for such systems, as are mechanisms for tuning and support from platform layers. Several open source and proprietary solutions have been proposed to address these requirements, with extensive contributions from industry and academia. However, there remain substantial challenges, including those that pertain to such systems' autonomic and self-management capabilities.
The objective of the MBDS track at ICAC '13 is to bring together researchers, practitioners, system administrators, system programmers, and others interested in sharing and presenting their perspectives on the effective management of Big Data systems. The focus of the track is on novel and practical systems-oriented work. MBDS offers an opportunity for researchers and practitioners from industry, academia, and national labs to showcase the latest advances in this area and also to discuss and identify future directions and challenges in all aspects on autonomic management of Big Data systems.
Two types of contributions are solicited on all aspects of Big Data management: (1) short papers and (2) panel presentations. Short papers should be no more than 6 pages, including the abstract, and will appear in the ICAC '13 conference proceedings. Proposed panel presentations require only an abstract. Topics of interest include but are not limited to the following:
Autonomic and self-managing techniques
Application-level resource management and scheduling mechanisms
System tuning/auto-tuning and configuration management
Performance management, fault management, and power management
Scalability challenges
Complexity challenges, as for composite, cross-tier systems with multiple control loops
Unified management of "data in motion" and "data at rest"
Dealing with both structured and unstructured data
Monitoring, diagnosis, and automated behavior detection
System-level principles and support for resource management
Holistic management across hardware and software
Implications of emerging hardware technologies such as non-volatile memory
Domain specific challenges in Web, cloud, social networks, mobile, sensor networks, streaming analytics, and cyber-physical systems
System building and experience papers for specific industry verticals