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 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 systems, storage-class memory, fast networking interconnects, big computing clusters, and large data centers that consume massive amounts 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.
The scope of the workshop includes, but is not limited to:
- New systems architecture
- New storage devices and indexes
- Query processing
- Transaction processing
- Energy-efficient and energy-proportional data processing
- Fault management and reliability
- Heterogeneous hardware
- Main memory data management
- Sustainable power management
- Scalable and reconfigurable challenges
Opening Remarks (8:45-9:00am)
Session 1: HardDB Keynote (9:00-10:00am)
- Andrew Putnam, “The Configurable Cloud — Accelerating Hyperscale Datacenter Services with FPGAs”
Session 2: Active Invited Academic Talks (10:30-12:00pm)
- Bingsheng He, “Data Management Systems on Future Hardware: Challenges and Opportunities”
- Stratis D. Viglas, “Processing declarative queries through generating imperative code in managed runtimes”
- Xiaodong Zhang, “Enabling Effective Utilization of GPUs for Data Mamagement Systems”
Session 3: HardDB Papers (1:30-2:30pm)
- Jianting Zhang and Le Gruenwald, “Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs”
- Marcus Pinnecke, David Broneske, Gabriel Campero Durand and Gunter Saake, “Are Databases Fit for Hybrid Workloads on GPUs? A Storage Engine’s Perspective”
Session 4: Active Invited Indsutry Talks (2:30-3:30pm)
- Roger Moussalli, “Tradeoffs and Considerations in the Design of Accelerators for Database Applications”
- Eva Sitaridi, “Hardware Acceleration of Database Analytics”
Session 5: Joint Active/HardDB Panel – Next Big Problems (4:00-5:00pm)
Closing Remarks (5:00-5:15pm)
Paper submission (Extended): December 20, 2016
Notification of acceptance: January 25, 2017 (updated)
Camera-ready copies: February 6, 2017 (updated)
Workshop: April 22, 2017
Papers can be submitted in three tracks: abstracts, short papers, and regular research papers. Abstracts have a limit of one page and should sketch the ongoing work that is to be presented. Regular research papers have a limit of eight pages (including references) and short papers have a limit of four pages (including references). They should present novel ideas, visionary thoughts, or new experimental evaluations. If accepted, authors are expected to give a 20 minute presentation during the workshop.
For submissions to all tracks, authors are requested to prepare their papers following the IEEE double-column format of the ICDE 2017 using the templates available at http://icde2017.sdsc.edu/submission-guidelines. Papers must be uploaded as PDF files to the submission website at https://easychair.org/conferences/?conf=hardbd2017. Each paper will be reviewed by PC members in a single-blind process.