| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === In recent years, the social aware services become more and more prevalent. Lots of people interact with their friends and family through the social aware service. As a consequence, providers of the social aware services apply a lot of resources to serve their users. However, the workload of the social aware services is not always at the peak. In fact, the services only take part of the resources to work well at lots of the time. And this phenomenon will cause the waste of the resources. Hence, we can reduce the usage amount of the resources to be more energy efficient.
In this paper, we observe the trend and change of the workload of the data of a social aware service, Sina Weibo. We then propose a method to decide the number of machines we will use with regard to the workload change of the system, and we partition the social graph with the considering of different usage patterns of users in different time. At the same time, we need to ensure a level of QoS of the system, while we use fewer resources. And we can also be more energy efficient because we consume fewer resource
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