HardBD & Active'18


HardBD & Active'18

Joint Workshop of HardBD (International Workshop on Big Data Management on Emerging Hardware)
          and Active (Workshop on Data Management on Virtualized Active Systems)

To be Sponsored by and Held in Conjunction with ICDE 2018

April 16, 2018 in Paris, France

bullet

Description
 

bullet

Topics
 

bullet

Submission
 

bullet

Important Dates
 

bullet

Program
 

bullet

Keynote

bullet

Organizers
 

bullet

PC Members

  Description


HardBD : 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, such as Key-Value stores, Document stores, Graph stores, Spark, MapReduce/Hadoop, Graph Computation Systems, Tree-Structured Databases, as well as novel extensions to relational database systems. 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, persistent main memory, fast networking components, 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.

Active : Existing approaches to solve data-intensive problems often require data to be moved near the computing resources for processing. These data movement costs can be prohibitive for large data sets. One promising solution is to bring virtualized computing resources closer to data, whether it is at rest or in motion. The premise of active systems is a new holistic view of the system in which every data medium and every communication channel become compute-enabled. The Active workshop aims to study different aspects of the active systems' stack, understand the impact of active technologies (including but not limited to hardware accelerators such as SSDs, GPUs, FPGAs, and ASICs) on different applications workloads over the lifecycle of data, and revisit the interplay between algorithmic modeling, compiler and programming languages, virtualized runtime systems and environments, and hardware implementations, for effective exploitation of active technologies.

HardBD & Active'18 : Both HardBD and Active are interested in exploiting hardware technologies for data-intensive systems. The aim of this one-day joint workshop is to bring together researchers, practitioners, system administrators, and others interested in this area to share their perspectives on exploiting new hardware technologies for data-intensive workloads and big data systems, and to discuss and identify future directions and challenges in this area. The workshop aims at providing a forum for academia and industry to exchange ideas through research and position papers.

[ Go to Top ]

  Topics

 Topics of interest include but are not limited to:

  • Systems Architecture on New Hardware
  • Data Management Issues in Software-Hardware-System Co-design
  • Main Memory Data Management (e.g. CPU Cache Behavior, SIMD, Lock-Free Designs, Transactional Memory)
  • Data Management on New Memory Technologies (e.g., SSDs, NVMs)
  • Active Technologies (e.g., GPUs, FPGAs, and ASICs) in Co-design Architectures
  • Distributed Data Management Utilizing New Network Technologies (e.g., RDMA)
  • Novel Applications of New Hardware Technologies in Query Processing, Transaction Processing, or Big Data Systems (e.g., Hadoop, Spark, NoSQL, NewSQL, Document Stores, Graph Platforms etc.)
  • Novel Applications of Low-Power Modern Processors in Data-Intensive Workloads
  • Virtualizing Active Technologies on Cloud (e.g., Scalability and Security)
  • Benchmarking, Performance Models, and/or Tuning of Data Management Workloads on New Hardware Technologies

[ Go to Top ]

  Submission Guidelines

     We welcome submissions of original, unpublished research papers that are not being considered for publication in any other forum. Papers should be prepared in the IEEE format and submitted as a single PDF file. The paper length should not exceed 6 pages. The submission site is https://cmt3.research.microsoft.com/HardBDActive2018 .

[ Go to Top ]

  Important Dates


Paper submission: January 15, 2018 (Monday) 11:59:00 PM PT
Notification of acceptance: February 5, 2018 (Monday)
Camera-ready copies: February 19, 2018 (Monday)
Workshop: April 16, 2018 (Monday)

[ Go to Top ]

  Organizers


[ Go to Top ]

  PC Members


  • Manos Athanassoulis, Harvard University
  • Sebastian Breß, DFKI GmbH
  • Bingsheng He, National University of Singapore
  • Peiquan Jin, Univerisity of Science and Technology of China
  • Qiong Luo, Hong Kong University of Science and Technology
  • Roger Moussalli, Two Sigma
  • Ilia Petrov, Reutlingen University
  • Eva Sitaridi, Amazon
  • Xiaodong Zhang, Ohio State University