• CSP at the Cyber-Physical Edge 

      Michalik, Lukasz Sergiusz; Murphy, Michael J.; Bjørndalen, John Markus; Anshus, Otto (Chapter; Bokkapittel, 2019)
      Today, to do ground-based in-situ observations of the arctic tundra, researchers carry wild life cameras and other observation units into the field, manually configure the devices while on the arctic tundra, and fetch the collected data several months later. This approach does not scale. Instead, observing and reporting of data must be automated using a distributed wireless network of autonomous ...
    • Distributed media versioning 

      Murphy, Michael J. (Master thesis; Mastergradsoppgave, 2017-05-15)
      It is still strangely difficult to backup and synchronize data. Cloud computing solves the problem by centralizing everything and letting someone else handle the backups. But what about situations with low connectivity or sensitive data? For this, software developers have an interesting distributed, decentralized, and partition-tolerant data storage system right at their fingertips: distributed ...
    • Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra 

      Murphy, Michael J.; Tveito, Øystein; Kleiven, Eivind Flittie; Rais, Issam; Soininen, Eeva M; Bjørndalen, John Markus; Anshus, Otto (Journal article; Tidsskriftartikkel, 2021-08-02)
      The arctic tundra is most sensitive to climate change. The change can be quantified from observations of the fauna, flora and weather conditions. To do observations at sufficient spatial and temporal resolution, ground-based observation nodes with sensors are needed. However, the arctic tundra is resource-limited with regards to energy, data networks, and humans. There are also regulatory and practical ...