A Taxonomy and Survey of Cloud Resource Orchestration Techniques
The topic of the review is a taxonomy and survey of cloud resource orchestration techniques where authors have analyzed a diverse mix of cloud resources and orchestration techniques that include languages, services, standards, and tools (Weerasiri & Barukh, 2017).
This article (Weerasiri & Barukh, 2017) proposes a comprehensive analysis framework to effectively explore, assess, contrast, and compare the relevant state of the art variety of cloud resource orchestration techniques (Weerasiri & Barukh, 2017.
The article is organized in the following order: Introduction to the necessary background, proposed taxonomy for understanding, analyzing and comparing cloud resource orchestration techniques, related work and the positioning of their taxonomy versus existing attempts, the framework of dimensions such as resources, orchestration, capabilities, user types, runtime environment, and knowledge reuse, applied taxonomy to analyze a set of methodically chosen cloud resource orchestration tools and research prototypes and identify several open research issues based on the technical gaps identified during the analysis, conclusion and future work (Weerasiri & Barukh, 2017).
This article clearly shows the roadmap in the last paragraph of the introduction where the authors have mentioned the order and architecture of the paper. In addition, this paper has a taxonomy where each main headings and subheadings are shown using a horizontal tree diagram.
The future work suggested in this paper is to develop concepts and techniques to model and capture event patterns and abstract them into meaningful concepts such as characterizing states of an application or a service, state of a specific application component, and behaviour of users from specific geolocation that are suitable for cloud elastic resource orchestration purposes (Weerasiri & Barukh, 2017).
Originality, theory-based, advanced knowledge, and accurate, comprehensive, and rigorous information about the topic makes this paper good. In addition, the authors have recommendations for future work.
References
Weerasiri, D. & Barukh, M. C., 2017. A Taxonomy and Survey of Cloud Resource Orchestration Techniques. ACM Computing Surveys, 50(2).
