Log on Cloud: A SaaS Data Collection, Storage, and Analysis Framework
Peng Xu, Yadong Zhang, Kai Shuang · 2016
With the rapid growth of Information Technology, the research and development of big data platform for huge amounts of data is becoming a hot spot in the industry. On the other hand, with the prevalence of service computing and cloud computing, more and more services are emerging on the Internet. This paper studies how to build a log framework in SaaS cloud which provides the full chain of starting from data collection to data storage and analysis to multiple applications of different tenants. Previous researches have primarily focused on only one of the following aspects: storage, analysis or not a web service. To bridge this gap, in this paper, we pose a novel solution that combines the unified data collection with a hybrid data storage and analysis, which provides strong customization through the web service. We have implemented the proposed framework called Log on Cloud (LOC). Through extensive experiments, we demonstrate the effectiveness of this framework.