Commodity single board computer clusters and their applications

Steven Johnston, Philip Basford, Colin Perkins, Herry Herry, Fung Po Tso, Demitrios Pezaros, Robert D. Mullins, Eiko Yoneki, Simon Cox, Jeremy Singer

Research output: Contribution to journalArticlepeer-review

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Abstract

Current commodity Single Board Computers (SBCs) are sufficiently powerful to run mainstream operating systems and workloads. Many of these boards may be linked together, to create small, low-cost clusters that replicate some features oflarge data center clusters. The Raspberry Pi Foundation produces a series ofSBCs with a price/performance ratio that makes SBC clusters viable, perhaps even expendable. These clusters are an enabler for Edge/Fog Compute, where processing is pushed out towards data sources, reducing bandwidth requirements and decentralising the architecture. In this paper we investigate use cases driving the growth of SBC clusters, we examine the trends in future hardware developments, and discuss the potential of SBC clusters as a disruptivetechnology. Compared to traditional clusters, SBC clusters have a reduced footprint, are low-cost, and have low power requirements. This enables different models of deployment -- particularly outside traditional data center environments. We discuss the applicability of existing software and management infrastructure to support exotic deployment scenarios and anticipate the next generation of SBC.We conclude that the SBC cluster is a new and distinct computational deploymentparadigm, which is applicable to a wider range of scenarios than current clusters. It facilitates Internet of Things and Smart City systems and is potentially a game changer in pushing application logic out towards the network edge.
Original languageEnglish
Article number0
Pages (from-to)201-212
Number of pages12
JournalFuture Generation Computer Systems
Volume89
Early online date30 Jun 2018
DOIs
Publication statusPublished - 1 Dec 2018

Keywords

  • Raspberry Pi
  • Edge Computing;
  • Networks Cloud computing
  • Centralization / decentralization
  • Distributed computing methodologies; Multicore architectures; Emerging architectures
  • RCUK
  • EPSRC
  • EP/P004024/1

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