Detail publikace

Efficient Architecture Design for Software as a Service in Cloud Environments

Originální název

Efficient Architecture Design for Software as a Service in Cloud Environments

Anglický název

Efficient Architecture Design for Software as a Service in Cloud Environments

Jazyk

en

Originální abstrakt

With the increasing popularity of Software as a Service (SaaS) clouds, software architects face new challenges in software architecture design, e.g. efficiently integrating those chosen web services into clouds. In this respect, early quality evaluation of the designed SaaS cloud application is crucial to mitigate the risk of later architectural changes due to a violation of quality requirements (such as response time, network throughput and scalability). Architects need to navigate in a rich set of offered services, a variability of the SaaS cloud environments, which makes it difficult to predict the general approach without time-consuming implementation of application prototypes (using GraphQL, Representational State Transfer (REST), Simple Object Access Protocol (SOAP), and Application Programming Interfaces (APIs) approaches). In this paper, we present an abstract application model designed to select the details with a high level of scalability and efficient interactions between service components. This model is reusable and provides new way of thinking about cloud architecture.

Anglický abstrakt

With the increasing popularity of Software as a Service (SaaS) clouds, software architects face new challenges in software architecture design, e.g. efficiently integrating those chosen web services into clouds. In this respect, early quality evaluation of the designed SaaS cloud application is crucial to mitigate the risk of later architectural changes due to a violation of quality requirements (such as response time, network throughput and scalability). Architects need to navigate in a rich set of offered services, a variability of the SaaS cloud environments, which makes it difficult to predict the general approach without time-consuming implementation of application prototypes (using GraphQL, Representational State Transfer (REST), Simple Object Access Protocol (SOAP), and Application Programming Interfaces (APIs) approaches). In this paper, we present an abstract application model designed to select the details with a high level of scalability and efficient interactions between service components. This model is reusable and provides new way of thinking about cloud architecture.

BibTex


@inproceedings{BUT149498,
  author="Pavel {Šeda} and Pavel {Mašek} and Jindřiška {Šedová} and Miloš {Šeda} and Jan {Krejčí} and Jiří {Hošek}",
  title="Efficient Architecture Design for Software as a Service in Cloud Environments",
  annote="With the increasing popularity of Software as a Service (SaaS) clouds, software architects face new challenges in software architecture design, e.g. efficiently integrating those chosen web services into clouds. In this respect, early quality evaluation of the designed SaaS cloud application is crucial to mitigate the risk of later architectural changes due to a violation of quality requirements (such as response time, network throughput and scalability). Architects need to navigate in a rich set of offered services, a variability of the SaaS cloud environments, which makes it difficult to predict the general approach without time-consuming implementation of application prototypes (using GraphQL, Representational State Transfer (REST), Simple Object Access Protocol (SOAP), and Application Programming Interfaces (APIs) approaches). In this paper, we present an abstract application model designed to select the details with a high level of scalability and efficient interactions between service components. This model is reusable and provides new way of thinking about cloud architecture.
",
  booktitle="2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  chapter="149498",
  doi="10.1109/ICUMT.2018.8631237",
  howpublished="online",
  year="2018",
  month="november",
  pages="317--322",
  type="conference paper"
}