| Autor: |
Kesavulu, Manoj, Duc-Tien Dang-Nguyen, Bezbradica, Marija, Helfert, Markus |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Kesavulu, Manoj ORCID: 0000-0001-5505-9593 , Dang-Nguyen, Duc-Tien ORCID: 0000-0002-2761-2213 , Bezbradica, Marija ORCID: 0000-0001-9366-5113 and Helfert, Markus ORCID: 0000-0001-6546-6408 (2018) A usage analytics model for analysing user behaviour in IBM academic cloud. In: 6th International IBM Cloud Academy Conference ICACON 2018, 24-26 May, 2018, Tokyo, Japan. |
| Popis: |
Usage in the software domain refers to the knowledge about how end- users use the application and how the application responds to the user’s actions. Usage can be revealed by monitoring the user’s interaction with the application. However, in the cloud environment, it is non-trivial to understand the interactions of the users by using only the monitoring solutions. For example, user’s behaviour, user’s usage pattern, which features of a cloud application are critical for a user, to name a few, cannot be extracted using only the existing monitoring tools. Understanding these information require additional analysis, which can be done by using usage analytics. For this purpose, in this paper, we propose a novel process model design for incorporating Usage Analytics in a cloud environment. We evaluate this proposed process model in the context of academic applications and services in the cloud, with the focus on IBM Academic Cloud. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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