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  • 2019
  • Tidskriftsartikel (refereegranskat)
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  • Krzywda, Jakub, 1989-, et al. (författare)
  • Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers
  • 2020
  • Ingår i: 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). - : IEEE conference proceedings. ; , s. 88-93
  • Konferensbidrag (refereegranskat)abstract
    • Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of data center infrastructures to optimize the power allocation toservers and hosted applications, testing them has been challengingwith no available simulation platform that enables such testingfor different scenarios and configurations. To facilitate evaluationand comparison of such techniques and algorithms, we introducea simulation model for Quality-of-Service aware power budgetingand its implementation in CloudSim. We validate the proposedsimulation model against a deployment on a real testbed, showcase simulator capabilities, and evaluate its scalability.
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4.
  • Krzywda, Jakub, 1989-, et al. (författare)
  • Modeling and Simulation of QoS-AwarePower Budgeting in Cloud Data Centers
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of data center infrastructures to optimize the power allocation to servers and hosted applications, testing them has been challenging with no available simulation platform that enables such testing for different scenarios and configurations. To facilitate evaluation and comparison of such techniques and algorithms, we introduce a simulation model for Quality-of-Service aware power budgeting and its implementation in CloudSim. We validate the proposed simulation model against a deployment on a real testbed, showcase simulator capabilities, and evaluate its scalability.
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  • Resultat 1-4 av 4

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