Market mechanisms for managing datacenters with heterogeneous microarchitectures

  • Authors:
  • Marisabel Guevara;Benjamin Lubin;Benjamin C. Lee

  • Affiliations:
  • Duke University;Boston University;Duke University

  • Venue:
  • ACM Transactions on Computer Systems (TOCS)
  • Year:
  • 2014

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Abstract

Specialization of datacenter resources brings performance and energy improvements in response to the growing scale and diversity of cloud applications. Yet heterogeneous hardware adds complexity and volatility to latency-sensitive applications. A resource allocation mechanism that leverages architectural principles can overcome both of these obstacles. We integrate research in heterogeneous architectures with recent advances in multi-agent systems. Embedding architectural insight into proxies that bid on behalf of applications, a market effectively allocates hardware to applications with diverse preferences and valuations. Exploring a space of heterogeneous datacenter configurations, which mix server-class Xeon and mobile-class Atom processors, we find an optimal heterogeneous balance that improves both welfare and energy-efficiency. We further design and evaluate twelve design points along the Xeon-to-Atom spectrum, and find that a mix of three processor architectures achieves a 12× reduction in response time violations relative to equal-power homogeneous systems.