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Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters

  • Computer
  • IEEE Computer Society
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Paper overview

Abstract

The Mnemos resource management and scheduling architecture uses portfolio scheduling, topology-aware virtual-resource management, and state information to self-adapt to significant workload changes and to analyze risks. Simulations with real-world workload traces reveal the potential for significant cost savings.

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Publication details

DOI
10.1109/mc.2015.206
OpenAlex
W1897568157
Document type
article
Language
EN
Source
Computer
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