Blar i ODA Open Digital Archive på forfatter "Griwodz, Carsten"

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    • A Deep Learning Approach to Dynamic Passive RTT 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten (2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC);, Conference object, 2019)
      The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...

    • A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten (IEEE International Conference Performance, Computing and Communications (IPCCC);, Conference object, 2020-01-16)
      The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...

    • Efficient live and on-demand tiled HEVC 360 VR video streaming 

      Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Peng, Qiaoqiao; Xue, Chuansong; Johansen, Dag; Pogorelov, Konstantin; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Halvorsen, Pål (International Journal of Semantic Computing;Vol. 13, No. 03, Journal article; Peer reviewed, 2019-10-24)
      360∘ panorama video displayed through Virtual Reality (VR) glasses or large screens offers immersive user experiences, but as such technology becomes commonplace, the need for efficient streaming methods of such high-bitrate ...

    • Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending 

      Markussen, Jonas Sæther; Bjørlykke Kristiansen, Lars; Borgli, Rune Johan; Stensland, Håkon Kvale; Seifert, Friedrich; Riegler, Michael Alexander; Griwodz, Carsten; Halvorsen, Pål (Cluster Computing volume;Volume 23, issue 2, Journal article; Peer reviewed, 2019-09-21)
      Modern workloads often exceed the processing and I/O capabilities provided by resource virtualization, requiring direct access to the physical hardware in order to reduce latency and computing overhead. For computers ...

    • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy 

      Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (Scientific Data;7, Article number: 283 (2020), Journal article; Peer reviewed, 2020-08-28)
      Artifcial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to manually ...

    • Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming 

      Midoglu, Cise; Klausen, Magnus; Alay Erduran, Özgü; Yazidi, Anis; Haugerud, Hårek; Griwodz, Carsten (S3: Wireless of the Students, by the Students, for the Students;S3'19: Proceedings of the 2019 on Wireless of the Students, by the Students, and for the Students Workshop, Conference object, 2019-10)
      We propose a QoE-based analysis approach for real-time adaptive 360-degree video streaming measurements, focusing on the correlation between objective video metrics and subjective end-user scores.

    • SmartIO: Zero-overhead Device Sharing through PCIe Networking 

      Markussen, Jonas Sæther; Kristiansen, Lars Bjørlykke; Halvorsen, Pål; Kielland-Gyrud, Halvor; Stensland, Håkon Kvale; Griwodz, Carsten (ACM Transactions on Computer Systems;Volume 38, Issue 1-2, July 2021, Peer reviewed; Journal article, 2021-07-08)
      The large variety of compute-heavy and data-driven applications accelerate the need for a distributed I/O solution that enables cost-effective scaling of resources between networked hosts. For example, in a cluster system, ...