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CONTATE-NOS
  • Artigo Científico
  • mar 20

Understanding and Minimizing Disk Contention Effects for Data-Intensive Processing in Virtualized Systems

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.

https://ieeexplore.ieee.org/abstract/document/8514449/

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Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters

AbstractWith the emergence of data-processing frameworks like Hadoop and Spark, a new concept of a cluster resource manager was necessary to deliver per-application containerwrapped on-demand resources with high scalability on a large scale. The container-based…

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Artigo Científico

Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments

Abstract: The use of virtualization technologies in high performance computing (HPC) environments has traditionally been avoided due to their inherent performance overhead. However, with the rise of container-based virtualization implementations, such as Linux VServer, OpenVZ…

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  • out 26

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  • Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters
  • Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments
  • A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters
  • Towards better manageability of database clusters on cloud computing platforms
  • Green software development for multi-core architectures

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Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters

  • 26/10/2019
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Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments

  • 26/10/2019
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A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters

  • 26/10/2019
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Towards better manageability of database clusters on cloud computing platforms

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