HardBD 2016

International Workshop on Big Data Management on Emerging Hardware

To be Sponsored by and Held in Conjunction with ICDE 2016

http://idke.ruc.edu.cn/HardBD2016

	Description
	Topics
	Submission
	Important Dates
	Program
	Keynote
	Organizers
	PC Members

Description

Data properties and hardware characteristics are two key aspects for efficient data management. A clear trend in the first aspect, data properties, is the increasing demand to manage and process Big Data in both enterprise and consumer applications, characterized by the fast evolution of “Big Data Systems”. Examples of big data systems include NoSQL storage systems, MapReduce/Hadoop, data analytics platforms, search and indexing platforms, messaging infrastructures, event log processing systems, as well as novel extensions to relational database systems. These systems address needs for processing structured, semi-structured, and unstructured data across a wide spectrum of domains such as the web, social networks, enterprise, mobile computing, sensor networks, multimedia/streaming, cyber-physical and high performance systems, and for a great many application areas such as e-commerce, finance, healthcare, transportation, telecommunication, and scientific computing.

At the same time, the second aspect, hardware characteristics, is undergoing rapid changes, imposing new challenges for the efficient utilization of hardware resources. Recent trends include massive multi-core processing systems, high performance co-processors, very large main memory, storage-class memory, fast networking interconnects, big computing clusters, and large data centers that consume massive amount of energy.

Utilizing new hardware technologies for efficient Big Data management is of urgent importance. However, many essential issues in this area have yet to be explored, including system architecture, data storage, indexes, query processing, energy efficiency and proportionality, and so on. The aim of this half-day workshop is to bring together researchers, practitioners, system administrators, and others interested in this area to share their perspectives on the efficient management of big data over new hardware platforms, and to discuss and identify future directions and challenges in this area.

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Topics

Topics of interest include but not limited to:

New systems architecture
New storage devices and indexes
Query processing
Transaction processing
Energy-efficient and energy-proportional data processing
Benchmarking
Fault management and reliability
Heterogeneous hardware
Main memory data management
Sustainable power management
Scalable and reconfigurable challenges

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Submission

All submissions must be prepared in the IEEE camera-ready format. Please follow the submission guidelines for the ICDE 2016 conference. All accepted submissions will be published in the ICDE proceedings and will also become publicly available through the IEEE Xplore. Submitted papers can be of two types:

Regular Research Papers: these papers should report original research results or significant case studies. They should be at most 8 pages.
Position Papers: these papers should report novel research directions or identify challenging problems. They should be at most 4 pages.

All submissions must be in PDF format and must be submitted using the online submission system at: https://cmt.research.microsoft.com/HARDBD2016/

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Important Dates