Since current internet threats contain not only malicious codes like Trojan or worms, but also spyware and adware which do not have explicit illegal content, it is necessary to hav...
A challenge in data analysis and visualization is to build new-generation software tools and systems to truly accelerate scientific discoveries. The recent focus of Princeton’s ...
Grant Wallace, Matthew A. Hibbs, Maitreya J. Dunha...
In large-scale distributed systems, asynchronous communication and future objects are becoming wide spread mechanisms to tolerate high latencies and to improve global performances...
With the rapid development of broadband applications, the capability of networks to provide quality of service (QoS) has become an important issue. Fair scheduling algorithms are ...
: The MASC model is a multi-SIMD model that uses control parallelism to coordinate the interaction of data parallel threads. It supports a generalized associative style of parallel...
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
Ziliang Zong, Matt Briggs, Nick O'Connor, Xiao Qin
1 Profile Hidden Markov Models (profile HMMs) are used as a popular bioinformatics tool for sensitive database searching, e.g. a set of not annotated protein sequences is compared...
In this study, we investigate the task scheduling problem in heterogeneous computing environments and propose a novel scheduling algorithm, called the Artificial Immune System wit...
In this paper, we report our work [24, 26] on extending the J-Sim network simulator [13] to be an integrated environment for both simulation and model checking of network protocol...
Ahmed Sobeih, Mahesh Viswanathan, Darko Marinov, J...