• Achieving Intelligent Traffic-aware Consolidation of Virtual Machines in a Data Center Using Learning Automata 

      Jobava, Akaki; Yazidi, Anis; Oommen, John; Begnum, Kyrre (Chapter; Peer reviewed, 2016)
      Cloud Computing (CC) is becoming increasingly pertinent and popular. A natural consequence of this is that many modern-day data centers experience very high internal traffic within the data centers themselves. The ...
    • 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 ...
    • Maximizing hypervisor scalability using minimal virtual machines 

      Bratterud, Alfred; Haugerud, Hårek (IEEE International Conference on Cloud Computing Technology and Science;, Chapter; Peer reviewed, 2013)
      The smallest instance offered by Amazon EC2 comes with 615MB memory and a 7.9GB disk image. While small by today's standards, embedded web servers with memory footprints well under 100kB, indicate that there is much to be ...
    • On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata 

      Jobava, Akaki; Yazidi, Anis; Oommen, John; Begnum, Kyrre (Journal of Computational Science;Volume 24, Journal article; Peer reviewed, 2018-01)
      Unlike the computational mechanisms of the past many decades, that involved individual (extremely powerful) computers or clusters of machines, Cloud Computing (CC) is becoming increasingly pertinent and popular. Computing ...
    • Optimizing Power and Energy Efficiency in Cloud Computing 

      Khan, Naveed; Haugerud, Hårek; Shrestha, Raju; Yazidi, Anis (MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems;, Conference object, 2019)
      With the exponential growth in cloud computing, the steadily increasing amount of power consumption due to the use of physical and virtual machines is becoming a serious challenge. In this context, we report a study on ...
    • Performance of cluster-based high availability database in cloud containers 

      Shrestha, Raju (Conference object, 2020)
      Database is an important component in any software application, which enables efficient data management. High availability of databases is critical for an uninterruptible service offered by the application. Virtualization ...
    • Reliable modeling of CPU usage in an office worker environment 

      Hammer, Hugo Lewi; Yazidi, Anis; Begnum, Kyrre (Proceedings of the 31st Annual ACM Symposium on Applied Computing;2016, Chapter; Peer reviewed, 2016)
      In this paper, we present a novel and realistic model for modelling CPU usage of virtual machines on a cloud. The model is based on considering the CPU consumption of a virtual machine as a one generated from a Hidden ...
    • Simplified cloud-oriented virtual machine management with MLN 

      Begnum, Kyrre (Journal of Supercomputing;, Journal article; Peer reviewed, 2010-03-25)
      System administrators are faced with the challenge of making their existing systems power-efficient and scalable. Although Cloud Computing is offered as a solution to this challenge by many, we argue that having multiple ...