The popularity of cloud computing has increasing rapidly across various sectors. The model that cloud computing offered has drawn attention of the enterprise such as pay as you go model, auto scaling, etc. With those kinds of advantages, it will help enterprise to save their cost while running their business. The benefit of cloud computing leads lots of cloud server providers offering their cloud server for rent in the internet. Each cloud server provider has his advantages and disadvantages. Enterprise needs more time to find a suitable could server provider and it also might not know the differences among cloud server providers. This research presents a search model for searching cloud server providers, and uses enterprise location (context aware method) for recommending the cloud server providers which are nearby the enterprise in order to improve bandwidth and reduce latency problem. Furthermore, this paper implements the search model, recommendation system, and evaluation standard in the system for users using their requirements and locations. Implementation result shows that cloud server which is near to enterprise will improve bandwidth and reduce the latency.
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- A Cloud Server Selection System – Recommendation, Modeling and Evaluation
- Springer International Publishing
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