Improving performance and sustainability in Big Data Clouds
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Big Data analytics and Cloud Computing have become two increasingly important IT paradigms to enhance business agility and productivity. As Cloud Computing offers a cost-effective way to support Big Data analytics, it exhibits many key characteristics. First, the user-perceived resource quantity and quality can vary significantly over time due to various interferences in the Cloud. Second, different types of Big Data applications, such as MapReduce and Spark, require distinct resource management schemes in the Cloud. Finally, sustainability is another concern for Cloud operators when consumers ...