Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
Various researchers have reported that traffic measurements demonstrate considerable burstiness on several time scales, with properties of self-similarity. Also, the rapid developm...
: sNICh: Efficient Last Hop Networking in the Data Center Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox, Scott Rixner, Partha Ranganathan, Jose Renato Santos HP Laboratories H...
Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox,...
Fundamental limitations of traditional data center network architectures have led to the development of architectures that provide enormous bisection bandwidth for up to hundreds ...
Shipping-container-based data centers have been introduced as building blocks for constructing mega-data centers. However, it is a challenge on how to interconnect those container...
Haitao Wu, Guohan Lu, Dan Li, Chuanxiong Guo, Yong...