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Nabor C. Mendonça
Researcher at University of Fortaleza
Publications - 62
Citations - 1319
Nabor C. Mendonça is an academic researcher from University of Fortaleza. The author has contributed to research in topics: Cloud computing & Microservices. The author has an hindex of 17, co-authored 59 publications receiving 1021 citations. Previous affiliations of Nabor C. Mendonça include Unifor & Federal University of Ceará.
Papers
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Journal ArticleDOI
Microservices: The Journey So Far and Challenges Ahead
TL;DR: This article examines microservice evolution from the technological and architectural perspectives and discusses key challenges facing future microservice developments.
Journal ArticleDOI
Static Architecture-Conformance Checking: An Illustrative Overview
TL;DR: In this article, the authors compare and illustrate the use of three static architecture-conformance techniques: dependency-structure matrices, source code query languages, and reflexion models.
Benchmark requirements for microservices architecture research
TL;DR: This paper proposes, discusses and illustrates the use of an initial set of requirements that may be useful in selecting a community-owned architecture benchmark to support repeatable microservices research.
Proceedings ArticleDOI
Cloudstep: A step-by-step decision process to support legacy application migration to the cloud
Patricia V. Beserra,Alessandro Camara,Rafael Ximenes,Adriano Bessa Albuquerque,Nabor C. Mendonça +4 more
TL;DR: This paper presents Cloudstep, a step-by-step decision process aimed at supporting legacy application migration to the cloud, which relies on the creation of template-based profiles characterizing the organization, the target legacy application and candidate cloud providers, which are then cross-analyzed to help identify and possibly resolve critical constraints that may hinder migration toThe cloud.
Journal ArticleDOI
Managing Uncertainty in Autonomic Cloud Elasticity Controllers
TL;DR: The authors integrate a fuzzy cloud controller with an online learning mechanism, putting forward a framework that takes the human out of the dynamic adaptation loop and can cope with various sources of uncertainty in the cloud.