Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
—Malicious software is rampant on the Internet and costs billions of dollars each year. Safe and thorough analysis of malware is key to protecting vulnerable systems and cleaning...
Anh M. Nguyen, Nabil Schear, HeeDong Jung, Apeksha...
In Fine-Grained Cycle Sharing (FGCS) systems, machine owners voluntarily share their unused CPU cycles with guest jobs, as long as the performance degradation is tolerable. For gu...
Tanzima Zerin Islam, Saurabh Bagchi, Rudolf Eigenm...
This paper presents a new distributed computing framework for Many Task Computing (MTC) applications, based on the Extensible Messaging and Presence Protocol (XMPP). A lightweight...
Lance Stout, Michael A. Murphy, Sebastien Goasguen
Abstract— The goal of data center networking is to interconnect a large number of server machines with low equipment cost, high and balanced network capacity, and robustness to l...
Dan Li, Chuanxiong Guo, Haitao Wu, Kun Tan, Songwu...