Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

Purpose Big data is increasingly becoming a major organizational enterprise force to reckon
with in this global era for all sizes of industries. It is a trending new enterprise system or …

The application of big data in the energy sector is considered as one of the main elements of
Energy Internet. Crucial and promising challenges exist especially with the integration of …

With the emergence of the big data age, the issue of how to obtain valuable knowledge from
a dataset efficiently and accurately has attracted increasingly attention from both academia …

Data generation has increased drastically over the past few years. Data management has
also grown in importance because extracting the significant value out of a huge pile of raw …

The end of Dennard scaling and the slowing of Moore's Law has put the energy use of
datacenters on an unsustainable path. Datacenters are already a significant fraction of …

High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

Stream processing is an emerging paradigm to handle data streams upon arrival, powering
latency-critical application such as fraud detection, algorithmic trading, and health …

As the field of data science grows, document analytics has become a more challenging task
for rough classification, response analysis, and text summarization. These tasks are used for …

As data centers are consuming massive amount of energy, improving the energy efficiency
of cloud computing has emerged as a focus of research. However, it is challenging to reduce …