A Functional Paradigm for Capacity Planning of Cloud Computing Workloads

Cloud computing allows the shared use of computational resources with its cost based on operational cycles. Given the technical and financial constraints of cloud computing projects, capacity planning processes help to identify the need for resources in a given workload in order for it to operate pr...

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Bibliographic Details
Published in:2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) pp. 281 - 283
Main Author: Cavalcanti Pereira, Carlos Diego
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2021
Subjects:
Capacity planning
cloud capacity planning
Cloud computing
Faces
Indexes
Planning
Software engineering
ISBN:1665412194, 9781665412193
Online Access:Get full text
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Summary:Cloud computing allows the shared use of computational resources with its cost based on operational cycles. Given the technical and financial constraints of cloud computing projects, capacity planning processes help to identify the need for resources in a given workload in order for it to operate properly in the face of different contexts. The current industrial paradigm considers historical usage precedents for the capacity planning of cloud computing workloads. In addition, current practices of cloud capacity planning do not establish how accurate these plans are. This work aims to establish a functional paradigm for capacity planning of cloud computing workloads, which include: an architectural meta-model; a method for functional and architectural classification of workloads; a sizing equation and confidence index.
ISBN:1665412194
9781665412193
DOI:10.1109/ICSE-Companion52605.2021.00128