Architecting Time-Critical Big-Data Systems

TL;DR

This paper explores the unique requirements of time-critical big-data systems, proposing an architecture and performance patterns to address infrastructure challenges for real-time applications.

Contribution

It defines the concept of time-critical big-data systems and proposes an architecture with initial performance patterns to meet real-time processing needs.

Findings

Analysis of characteristics of time-critical big-data applications

Identification of infrastructure challenges for real-time processing

Proposed architecture and initial performance patterns

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.