期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2020
卷号：20
期号：3
页码：229-237
出版社：International Journal of Computer Science and Network Security
摘要：In an increasingly challenging global environment, companies are forced to reduce their costs to preserve their chances in the competitive markets. In order to become more competitive, companies are looking to reduce management costs starting with the costs of IT infrastructure, which in recent years has become very expensive. Transforming these heavy investment expenses into manageable monthly rental fees is possible via Cloud Computing services. However, the transition process is another issue that should be addressed with extreme care.
This paper aims to propose a framework in collaboration with experts in digital transformation of companies toward Cloud Computing. This framework can be supported by a set of web tools hosted in an online platform and available to users who collaborate to build an entire user experience available for companies that want to migrate to the cloud. Indeed, due to lack of experience in the migration to the cloud, companies are unable to adequately address this phase of digital transition. Besides, since experienced human resources are not often available and expensive, it is interesting to have a scientific and technical framework to assist small and medium-sized enterprises in this transition phase. Using the deep learning techniques, it will be possible to capitalize the experience in a single intelligent repository. This will reduce the cost, as well as, the possibility to build a more reliable and generic knowledge.
关键词：Deep Learning; Cloud Computing; Collaborative System
