What are open challenges in data-intensive computing given by Ian Gorton et al?

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 Open challenges in data-intensive computing given by Ian Gorton et al.

  • Scalable algorithms that can search and process massive datasets
  • New metadata management technologies that can scale to handle complex, heterogeneous, and distributed data sources
  • Advances in high-performance computing platforms aimed at providing better support for accessing in-memory multiterabyte data structures
  • High-performance, highly reliable, petascale distributed file systems Data signature-generation techniques for data reduction and rapid processing
  • New approaches to software mobility for delivering algorithms that can move the computation to where the data are located Specialized hybrid interconnection architectures that provide better support for filtering multi-gigabyte datastreams coming from high-speed networks and scientific instruments
  • Flexible and high-performance software integration techniques that facilitate the combination of software modules running on different platforms to quickly form analytical pipelines.


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