[HTML][HTML] A comprehensive study of hbase storage architecture—a systematic literature review
According to research, generally, 2.5 quintillion bytes of data are produced every day. About
90% of the world's data has been produced in the last two years alone. The amount of data …
90% of the world's data has been produced in the last two years alone. The amount of data …
Cloud engineering principles and technology enablers for medical image processing-as-a-service
Traditional in-house, laboratory-based medical imaging studies use hierarchical data
structures (eg, NFS file stores) or databases (eg, COINS, XNAT) for storage and retrieval …
structures (eg, NFS file stores) or databases (eg, COINS, XNAT) for storage and retrieval …
[图书][B] Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing
S Bao - 2018 - search.proquest.com
Large-scale medical imaging studies to date have predominantly leveraged in-house,
laboratory-based or traditional grid computing resources for their computing needs, where …
laboratory-based or traditional grid computing resources for their computing needs, where …
[PDF][PDF] A Distributed Caching Scheme for Improving Read-write Performance of HBase
B Shen, ZB Yu, W Lu, YC Kao - Journal of Computers, 2018 - csroc.org.tw
As an important infrastructure of big data, HBase has been wildly used in lots of businesses
and provides high performance in massive data reading and writing. However, HBase is still …
and provides high performance in massive data reading and writing. However, HBase is still …
[PDF][PDF] Strategies for Improving Latency and Throughput of the Apache Hadoop Ecosystem for Medical Imaging Data
Traditional medical imaging studies use hierarchical data structures (eg, NFS file stores) or
databases (eg, COINS, XNAT) for storage and retrieval. The resulting performance from …
databases (eg, COINS, XNAT) for storage and retrieval. The resulting performance from …