Johnston, Steven J. Basford, Philip J. Perkins, Colin S. Herry, Herry Tso, Fung Po Pezaros, Dimitrios P. Mullins, Robert D. Yoneki, Eiko Cox, Simon J. Singer, Jeremy Commodity single board computer clusters and their applications © 2018 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 of large data center clusters. The Raspberry Pi Foundation produces a series of SBCs 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 decentralizing 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 disruptive technology. 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 deployment paradigm, 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. Raspberry Pi;Edge computing;Networks cloud computing;Centralization/decentralization;Distributed computing methodologies;Multicore architectures;Emerging architectures;Information Systems;Distributed Computing;Computer Software;Information and Computing Sciences not elsewhere classified 2018-09-10
    https://repository.lboro.ac.uk/articles/journal_contribution/Commodity_single_board_computer_clusters_and_their_applications/9402962