As energy has become one of the key operating costs in running a data center and power
waste commonly exists, it is essential to reduce energy inefficiency inside data centers. In …

针对仿真生成算法采用静态分布模型生成Web 日志, 会造成与真实数据之间存在较大差异的
问题, 提出一种基于用户兴趣迁移的Web 日志仿真生成(WLSG) 算法. 该算法首先对Web …

Driven by the increasing industrial data over decades, big data systems have evolved
rapidly. The diversity and complexity of industrial applications raise great challenge for …

In recent years the volume of data consumed by many organizations has exploded, due to
the explosion of the web. According to [BCM11], in 15 out of the 17 US economic sectors …

With the rapid growth of big data, cloud computing has emerged as an attractive solution for
storing and processing large datasets. However, benchmarking and optimising the …

The proliferation of big data technology and faster computing systems led to pervasions of AI
based solutions in our life. There is need to understand how to benchmark systems used to …

The amount of data produced, either in the scientific community and the commercial world, is
constantly growing. The field of Big Data has emerged to handle a large amount of data on …

Domain-specific software and hardware co-design is encouraging as it is much easier to
achieve efficiency for fewer tasks. Agile domain-specific benchmarking speeds up the …

With the emergence of high-performance data analytics, the Hadoop platform is being
increasingly used to process data stored on high-performance computing clusters. While …