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A Strategy to Evaluate and Measure the Degree of Openness of Cloud Services Environment

10 pagesPublished: September 27, 2019

Abstract

Nowadays, business companies/organizations/enterprises are moving theirs processes to the cloud, on the other hand, they do not want to depend on a unique supplier and be tied to it. On the other hand, they want a variety of company that offers different technologies. But the fact that each supplier uses a different technology, make the selection a costly task that’s consume a lot of time. This does not mean that the amount of suppliers should be reduced, because this is good for the market. Because of this, it is necessary to have an environment that allows the diversity and compatibility of technologies. The cloud should be thought free of incompatibilities to focus on the interoperability among the different suppliers. In other words, each supplier should open the cloud to its competitors. Given them a set of standards and rules that allows the interconnection among the products provided. In this way, the costumers would have the possibility of choosing the most adequate product for its needs and do not be limited to a particular technology. In this sense, a strategy consists on a quality models, metrics and indicators that complement the framework currently applied to the cloud migration, is proposed.

Keyphrases: business process, Cloud Computing, evaluation strategies, metrics, performance indicators, workflow, Workflow Management Systems

In: Quan Yuan, Yan Shi, Les Miller, Gordon Lee, Gongzhu Hu and Takaaki Goto (editors). Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering, vol 63, pages 80--89

Links:
BibTeX entry
@inproceedings{CAINE2019:Strategy_to_Evaluate_and,
  author    = {Narayan Debnath and Mario Gabriel Peralta and Carlos Humberto Salgado and Lorena Baigorria and German Montejano and Daniel Riesco and Emdad Ahmed},
  title     = {A Strategy to Evaluate and Measure the Degree of Openness of Cloud Services Environment},
  booktitle = {Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering},
  editor    = {Quan Yuan and Yan Shi and Les Miller and Gordon Lee and Gongzhu Hu and Takaaki Goto},
  series    = {EPiC Series in Computing},
  volume    = {63},
  pages     = {80--89},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/pq6X},
  doi       = {10.29007/9tmr}}
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