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  • out 24

Modeling and Simulation of QoS-AwarePower Budgeting in Cloud Data Centers

Cloud computing has transformed the means of computing in recent years with several benefits over traditional systems, like scalability and high availability. However, there are still some opportunities, especially in the area of resource provisioning and scaling [13]. Since workload may fluctuate a lot in certain environments, over-provisioning is a common practice to avoid abrupt Quality of Service (QoS) drops that may result in Service Level Agreement (SLA) violations, but at the price of an increase in provisioning costs and energy consumption. Workload prediction is one of the strategies by which efficiency and operational cost of a cloud can be improved [13]. Knowing demand in advance allows the previous allocation of sufficient resources to maintain QoS and avoid SLA violations [1]. This paper presents the advantages and disadvantages of three workload prediction techniques when applied in the context of cloud computing. Our preliminary results compare ARIMA, MLP, and GRU under different cloud configurations to help administrators choose the more appropriate and efficient predictive model for their specific problem.

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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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  • out 26
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
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]

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

  • 26/10/2019
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]

A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters

  • 26/10/2019
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]

Towards better manageability of database clusters on cloud computing platforms

  • 26/10/2019
  • [rt_reading_time postfix="mins read" postfix_singular="min read"]
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