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Exploiting Key-Value Data Stores Scalability for HPC
2017
2017 46th International Conference on Parallel Processing Workshops (ICPPW)
BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Tables replaced Traditional SQL databases as they guaranteed low response time on simple read/write requests. The second wave recast the data warehousing: map-reduce systems spread as they proved to scale linearly long-running computational workloads on commodity servers. The focus now is on real-time analytics. Being able to analyse massive quantities of data in a short time enables multiple HPC
doi:10.1109/icppw.2017.25
dblp:conf/icppw/CugnascoBTA17
fatcat:r7o44n2jq5fifdfv5h4jpw6h4q