Architecting time-critical big-data systems Articles uri icon

authors

  • BASANTA VAL, PABLO
  • WELLINGS, ANDY J.
  • GRAY, IAN
  • FERNANDEZ GARCIA, NORBERTO

publication date

  • October 2016

start page

  • 310

end page

  • 324

issue

  • 4

volume

  • 2

Electronic International Standard Serial Number (EISSN)

  • 2332-7790

abstract

  • Current infrastructures for developing big-data applications are able to process -via big-data analytics- huge amounts of data, using clusters of machines that collaborate to perform parallel computations. However, current infrastructures were not designed to work with the requirements of time-critical applications; they are more focused on general-purpose applications rather than time-critical ones. Addressing this issue from the perspective of the real-time systems community, this paper considers time-critical big-data. It deals with the definition of a time-critical big-data system from the point of view of requirements, analyzing the specific characteristics of some popular big-data applications. This analysis is complemented by the challenges stemmed from the infrastructures that support the applications, proposing an architecture and offering initial performance patterns that connect application costs with infrastructure performance.

keywords

  • time-critical; big-data systems; time-critical infrastructure; computer architecture; computational modeling; social network services