TY - JOUR
T1 - The New Hardware Development Trend and the Challenges in Data Management and Analysis
AU - Pan, Wei
AU - Li, Zhanhuai
AU - Zhang, Yansong
AU - Weng, Chuliang
N1 - Publisher Copyright:
© 2018, The Author(s).
PY - 2018/9/1
Y1 - 2018/9/1
N2 - Hardware techniques and environments underwent significant transformations in the field of information technology, represented by high-performance processors and hardware accelerators characterized by abundant heterogeneous parallelism, nonvolatile memory with hybrid storage hierarchies, and RDMA-enabled high-speed network. Recent hardware trends in these areas deeply affect data management and analysis applications. In this paper, we first introduce the development trend of the new hardware in computation, storage, and network dimensions. Then, the related research techniques which affect the upper data management system design are reviewed. Finally, challenges and opportunities are addressed for the key technologies of data management and analysis in new hardware environments.
AB - Hardware techniques and environments underwent significant transformations in the field of information technology, represented by high-performance processors and hardware accelerators characterized by abundant heterogeneous parallelism, nonvolatile memory with hybrid storage hierarchies, and RDMA-enabled high-speed network. Recent hardware trends in these areas deeply affect data management and analysis applications. In this paper, we first introduce the development trend of the new hardware in computation, storage, and network dimensions. Then, the related research techniques which affect the upper data management system design are reviewed. Finally, challenges and opportunities are addressed for the key technologies of data management and analysis in new hardware environments.
KW - Data analysis
KW - Data management
KW - Heterogeneous hardware
UR - https://www.scopus.com/pages/publications/85062695716
U2 - 10.1007/s41019-018-0072-6
DO - 10.1007/s41019-018-0072-6
M3 - 文章
AN - SCOPUS:85062695716
SN - 2364-1185
VL - 3
SP - 263
EP - 276
JO - Data Science and Engineering
JF - Data Science and Engineering
IS - 3
ER -