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.
Topics of interest include but are not limited to:
Systems Architecture on New HardwareData Management Issues in Software-Hardware-System Co-designMain 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 ArchitecturesDistributed 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 WorkloadsVirtualizing Active Technologies on Cloud (e.g., Scalability and Security)Benchmarking, Performance Models, and/or Tuning of Data Management Workloads on New Hardware Technologies
04月16日
2018
04月19日
2018
摘要截稿日期
注册截止日期
2017年04月22日 美国 San Diego,USA
2017年新兴硬件大数据管理研讨会2016年05月20日 芬兰 Helsinki, Finland
2016国际新兴硬件大数据管理研讨会2015年04月13日 韩国
2015年新兴硬件大数据管理国际研讨会
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