QoS-oriented capacity planning for edge computing

Marius Noreikis, Yu Xiao, Antti Ylä-Jääski

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

20 Citations (Scopus)


An increasing number of online services are hosted on public clouds. However, since a centralized cloud architecture imposes high network latency, researchers suggested moving latency sensitive applications, such as virtual and augmented reality ones, to the edge of the network. Nevertheless, little has been done for edge layer capacity estimation resulting in a great need towards practical tools and techniques for initial capacity planning. In this work we provide a novel capacity planning solution for hierarchical edge cloud that considers QoS requirements in terms of response delay, and diverse demands for CPU, GPU and network resources. Our solution improves edge utilization by combining complementary resource demands while satisfying QoS requirements. We prove effectiveness of our solution through a case study where we plan edge capacity for deploying an AR navigation and information system.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
Number of pages6
ISBN (Electronic)9781467389990
Publication statusPublished - 28 Jul 2017
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Communications - Paris, France
Duration: 21 May 201725 May 2017

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883


ConferenceIEEE International Conference on Communications
Abbreviated titleICC


  • Capacity planning
  • edge computing
  • real time applications


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