articleMar 16, 2013Closed access

Paragon

Stanford University

Indexed incrossref

Abstract

Large-scale datacenters (DCs) host tens of thousands of diverse applications each day. However, interference between colocated workloads and the difficulty to match applications to one of the many hardware platforms available can degrade performance, violating the quality of service (QoS) guarantees that many cloud workloads require. While previous work has identified the impact of heterogeneity and interference, existing solutions are computationally intensive, cannot be applied online and do not scale beyond few applications.

Citation impact

617
total citations
FWCI
157.18
Percentile
100%
References
44
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Cloud computing
  • Quality of service
  • Interference (communication)
  • Distributed computing
  • Scale (ratio)
  • Computer network
  • Operating system
UN Sustainable Development Goals
  • Decent work and economic growth
No related works found for this paper.