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Capacity Planning of Cloud Computing Workloads: A Systematic Review

Authors:
Carlos Diego Cavalcanti Pereira
Felipe Silva Ferraz

Keywords: cloud capacity planning; capacity planning; cloud computing

Abstract:
Cloud Computing is a prominent field of research with several areas of knowledge to be explored. The current state of the art of cloud computing regarding capacity planning is a more specific field to address in research and further studies. This work has the objective of identifying, evaluating and interpreting published research that examines sizing and capacity planning for cloud computing workloads. To achieve that, a systematic literature review was conducted. This review resulted in the finding of 504 works, of which 52 were identified as primary studies. The studies were then classified according to research focus and aspect of cloud capacity planning. The work investigates what is known about capacity planning models for cloud computing workloads. The results show statistical data about cloud capacity planning, gaps in current research and models for sizing cloud computing workloads with no historical use and workloads based on functional characteristics or architecture.

Pages: 61 to 67

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-827-3

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020