Hybrid electrical/optical (E/O) switching data center network (DCN) has recently emerged as
a promising paradigm for future DCN architectures. However, there exist two major …

The expansion of online services, the advent of big data, and the development of Internet of
Things (IoT) technology have led to an exponential growth in the number of data centers …

Numerous data centers have adopted heterogeneous computing server to accelerate the
processing speed with various applications. However, as the growth of efficiency, the issue …

Due to the rapid increase in the number and scale of data centers, the information and
communication technology (ICT) equipment in data centers consumes an enormous amount …

The time-space transferability of data center workload determines that its power load has
considerable adjustable potential. Making full use of this potential to formulate power load …

The prediction of power consumption is the basis for studying energy consumption. In
previous studies, the functional regression approach is difficult to adapt to current complex …

Accurate load forecasting of data centers is an important supporting means for them to
participate in demand response or power market. In view of the problems such as large …

This paper exploits the advantage of Artificial Neural Network (ANN) to design and
implement an improved algorithm of power prediction on heterogeneous computing server …

Stock price prediction has always been a difficult problem for investors. In the past, investors
used traditional analysis methods such as candlestick charts and cross lines to predict stock …

Nowadays, surveys show that the cooling system accounts for 30% of the energy
consumption of data centers. The challenge of designing an effective cooling control system …