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Bilde av Anshus, Otto Johan
Bilde av Anshus, Otto Johan
Department of Computer Science otto.anshus@uit.no 91573265 Tromsø You can find me here

Otto Johan Anshus

  • Loïc, Issam, Otto Johan :
    A large-scale study of the impact of node behavior on loosely coupled data dissemination: The case of the distributed Arctic observatory
    Journal of Parallel and Distributed Computing 2024 DOI / ARKIV
  • Salma, Issam, Otto Johan :
    Quantifying the variability of power and energy consumption for IoT edge nodes
    2023 DOI / ARKIV
  • Steffen Ole Randrup, John Markus, Issam, Hoai Phuong, Otto Johan :
    Weather-aware Wake-up of Sleeping Cyber-Physical IoT Nodes
    2023 DOI / ARKIV
  • Loic, Issam, Otto Johan :
    Towards Data Dissemination Policy Prediction for Constrained Environments Using Analytics
    2023 DOI / ARKIV
  • Loic, Issam, Otto Johan :
    Validation of ESDS Using Epidemic-Based Data Dissemination Algorithms
    2023 DOI / ARKIV
  • Antoine Stephane Pierre Guy, Hélène, Issam, Otto Johan :
    Leveraging Relay Nodes to Deploy and Update Services in a CPS with Sleeping Nodes
    2023 DOI / ARKIV
  • Salma, Issam, Otto Johan :
    Representing Power Variability of an Idle IoT Edge Node in the Power State Model
    2023 DOI / ARKIV
  • Roberth, Otto Johan :
    Detecting the Arrival of an Update at Mostly Sleeping Cyber-Physical IoT Nodes
    IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS) 2022 DOI
  • Lukasz Sergiusz, Loic, Issam, Otto Johan, John Markus :
    LoRaLitE: LoRa protocol for Energy-Limited environments
    2022 DOI
  • Issam, Loic, Otto Johan :
    Impact of loosely coupled data dissemination policies for resource challenged environments
    2022 DOI
  • Roberth, Issam, John Markus, Hoai Phuong, Otto :
    Distribution of Updates to IoT Nodes in a Resource-Challenged Environment
    2021 DOI
  • Steffen Ole Randrup, Issam, John Markus, Hoai Phuong, Otto Johan :
    Impact of image compression on CNN performance metrics for CPS nodes at the Arctic Tundra
    2021
  • Michael J., Øystein, Eivind Flittie, Issam, Eeva M, John Markus et al.:
    Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra
    2021 DOI / ARKIV
  • Thi Thuy Nga, Øystein, Hoai Phuong, Otto :
    Implementation and Performance Analysis for Energy Harvesting-based Wireless Sensor Networks
    2021 DOI
  • Issam, Otto, John Markus, Daniel, Manish :
    Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications
    2020
  • Hoai Phuong, Otto, Ibrahim :
    Efficient concurrent search trees using portable fine-grained locality
    IEEE Transactions on Parallel and Distributed Systems 2019 DOI / ARKIV
  • John Markus, Brian, Otto :
    aPyCSP - Asynchronous PyCSP Using Python Coroutines and Asyncio
    2019 DOI
  • Lukasz Sergiusz, Michael J., John Markus, Otto :
    CSP at the Cyber-Physical Edge
    2019 DOI / ARKIV
  • Issam, John Markus, Hoai Phuong, Ken-arne, Lukasz Sergiusz, Håvard et al.:
    UAVs as a leverage to provide energy and network for Cyber-Physical Observation Units on the Arctic Tundra
    2019 DOI
  • John Markus, Otto, Tore, Hoai Phuong, Rolf Anker, Jane Uhd et al.:
    Building a Sensor System for a Large Scale Arctic Observatory
    2018 DOI
  • Michael J., John Markus, Otto :
    Scalability of Distributed Version Control Systems
    NIKT: Norsk IKT-konferanse for forskning og utdanning 2017 ARKIV
  • Lukasz Sergiusz, Otto, John Markus :
    Flexible Devices for Arctic Ecosystems Observations
    NIKT: Norsk IKT-konferanse for forskning og utdanning 2017 ARKIV
  • Håvard, John Markus, Eivind Flittie, Eeva M, Siw Turid, Dorothee et al.:
    Using machine learning to provide automatic image annotation for wildlife camera traps in the Arctic
    2017 ARKIV
  • Peter Halland, Otto :
    Seadrive - Remote file synchronization for offshore fleets
    NIKT: Norsk IKT-konferanse for forskning og utdanning 2016 FULLTEKST
  • Ibrahim, Otto, Hoai Phuong :
    Effect of portable fine-grained locality on energy efficiency and performance in concurrent search trees
    SIGPLAN notices 2016 DOI
  • Ibrahim, Otto, Hoai Phuong :
    Effect of portable fine-grained locality on energy efficiency and performance in concurrent search trees
    2016 DOI
  • Ibrahim, Otto, Hoai Phuong :
    GreenBST: Energy-efficient concurrent search tree
    Lecture Notes in Computer Science (LNCS) 2016 DOI / ARKIV
  • Ibrahim, Otto, Hoai Phuong :
    DeltaTree: A Locality-aware Concurrent Search Tree
    2015 DOI
  • Salma, Issam, Otto Johan :
    Representing Power Variability of an Idle IoT Edge Node in the Power State Model
    2023
  • Loic, Issam, Otto Johan :
    Towards Data Dissemination Policy Prediction for Constrained Environments Using Analytics
    2023
  • Steffen Ole Randrup, John Markus, Issam, Hoai Phuong, Otto Johan :
    Weather-aware Wake-up of Sleeping Cyber-Physical IoT Nodes
    2023
  • Loic, Issam, Otto Johan :
    Validation of ESDS Using Epidemic-Based Data Dissemination Algorithms
    2023
  • Salma, Issam, Otto Johan :
    Quantifying the variability of power and energy consumption for IoT edge nodes
    2023
  • Lukasz Sergiusz, Loic, Issam, Otto Johan, John Markus :
    LoRaLitE: LoRa protocol for Energy-Limited environments
    2022
  • Steffen Ole Randrup, Issam, John Markus, Hoai Phuong, Otto Johan :
    Impact of image compression on CNN performance metrics for CPS nodes at the Arctic Tundra
    2021
  • Michael J., Øystein, Eivind Flittie, Issam, Eeva M, John Markus et al.:
    Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra
    2021 FULLTEKST
  • Roberth, Issam, John Markus, Hoai Phuong, Otto :
    Distribution of Updates to IoT Nodes in a Resource-Challenged Environment
    2021
  • Issam, Otto, John Markus, Daniel, Manish :
    Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications
    2020
  • Issam, John Markus, Hoai Phuong, Ken-arne, Lukasz Sergiusz, Håvard et al.:
    UAVs as a leverage to provide energy and network for Cyber-Physical Observation Units on the Arctic Tundra
    2019
  • John Markus, Hoai Phuong, Lukasz Sergiusz, Roopam, Roberth, Øystein et al.:
    Lessons from Automating observations of Arctic Eco-systems
    2019
  • Lukasz Sergiusz, Michael J., John Markus, Otto :
    CSP at the Cyber-Physical Edge
    2018
  • John Markus, Brian, Otto :
    aPyCSP - Asynchronous PyCSP Using Python Coroutines and Asyncio
    2018
  • Håvard, John Markus, Eivind Flittie, Eeva M, Siw Turid, Dorothee et al.:
    Using machine learning to provide automatic image annotation for wildlife camera traps in the Arctic
    2017
  • Michael J., John Markus, Otto :
    Scalability of Distributed Version Control Systems
    2017
  • Lukasz Sergiusz, Otto, John Markus :
    Flexible Devices for Arctic Ecosystems Observations
    2017
  • Peter Halland, Otto :
    Seadrive - Remote file synchronization for offshore fleets
    2016
  • Ibrahim, Otto, Hoai Phuong :
    Effect of Portable Fine-Grained Locality on Energy Efficiency and Performance in Concurrent Search Trees
    2016
  • Otto :
    Center for Bioinformatics at UiT
    2016
  • John Markus, Otto, Tore, Hoai Phuong, Rolf Anker, Jane Uhd et al.:
    Building a Sensor System for a Large Scale Arctic Observatory
    2016
  • Ibrahim, Otto, Hoai Phuong :
    GreenBST: Energy-Efficient Concurrent Search Tree
    2016

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