Dynamic Patterns for Cloud Application Life-Cycle Management

Geir Horn; Leire Orue Echevarria Arrieta; Beniamino Di Martino; Paweł Skrzypek; Dimosthenis Kyriazis

doi:10.1007/978-3-030-33509-0_59

Dynamic Patterns for Cloud Application Life-Cycle Management

Geir Horn^*, Leire Orue Echevarria Arrieta, Beniamino Di Martino, Paweł Skrzypek, Dimosthenis Kyriazis

^*Corresponding author for this work

TECNALIA Research & Innovation

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

Cloud applications are by nature dynamic and must react to variations in use, and evolve to adopt new Cloud services, and exploit new capabilities offered by Edge and Fog devices, or within data centers offering Graphics Processing Units (GPUs) or dedicated processors for Artificial Intelligence (AI). Our proposal is to alleviate this complexity by using patterns at all stages of the Cloud application life-cycle: Deployment, automatic service discovery, monitoring, and adaptive application evolution. The main idea of this paper is that it is possible to reduce the complexity of composing, deploying, and evolving Cross-Cloud applications using dynamic patterns.

Original language	English
Title of host publication	Lecture Notes in Networks and Systems
Publisher	Springer
Pages	626-637
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-030-33509-0_59
Publication status	Published - 2020

Publication series

Name	Lecture Notes in Networks and Systems
Volume	96
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

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10.1007/978-3-030-33509-0_59

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AU - Di Martino, Beniamino

AU - Skrzypek, Paweł

AU - Kyriazis, Dimosthenis

PY - 2020

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AB - Cloud applications are by nature dynamic and must react to variations in use, and evolve to adopt new Cloud services, and exploit new capabilities offered by Edge and Fog devices, or within data centers offering Graphics Processing Units (GPUs) or dedicated processors for Artificial Intelligence (AI). Our proposal is to alleviate this complexity by using patterns at all stages of the Cloud application life-cycle: Deployment, automatic service discovery, monitoring, and adaptive application evolution. The main idea of this paper is that it is possible to reduce the complexity of composing, deploying, and evolving Cross-Cloud applications using dynamic patterns.

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Dynamic Patterns for Cloud Application Life-Cycle Management

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