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PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services

Chen, Shuang ; Delimitrou, Christina ; Martínez, José F.

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019, p.107-120

New York, NY, USA: ACM

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  • Título:
    PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services
  • Autor: Chen, Shuang ; Delimitrou, Christina ; Martínez, José F.
  • Assuntos: Computer systems organization -- Architectures -- Distributed architectures -- Cloud computing ; Computer systems organization -- Real-time systems -- Real-time system architecture
  • É parte de: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019, p.107-120
  • Descrição: Multi-tenancy in modern datacenters is currently limited to a single latency-critical, interactive service, running alongside one or more low-priority, best-effort jobs. This limits the efficiency gains from multi-tenancy, especially as an increasing number of cloud applications are shifting from batch jobs to services with strict latency requirements. We present PARTIES, a QoS-aware resource manager that enables an arbitrary number of interactive, latency-critical services to share a physical node without QoS violations. PARTIES leverages a set of hardware and software resource partitioning mechanisms to adjust allocations dynamically at runtime, in a way that meets the QoS requirements of each co-scheduled workload, and maximizes throughput for the machine. We evaluate PARTIES on state-of-the-art server platforms across a set of diverse interactive services. Our results show that PARTIES improves throughput under QoS by 61% on average, compared to existing resource managers, and that the rate of improvement increases with the number of co-scheduled applications per physical host.
  • Editor: New York, NY, USA: ACM
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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