On the distributed fault diagnosis of computer networks We propose a general technique for the fault diagnosis of communication networks that is inspired by the theory of system-level diagnosis. This technique r... S Chutani,HJ Nussbaumer - IEEE Symposium on Computers & Communications 被引量: 13...
Modern networks make it possible for computers to communicate in a fast and reliable manner, which is important if we are to use services from a cloud provider. This enables the user experience with software running in a remote datacenter to be comparable to the experience of software running ...
Evolution has provided a source of inspiration for algorithm designers since the birth of computers. The resulting field, evolutionary computation, has been successful in solving engineering tasks ranging in outlook from the molecular to the astronomical
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adaptive systems. Here, we review empirical and theoretical evidence for DPE in natural systems and discuss the relationship of DPE to self-organised criticality and adaptive cycles. We describe a general model for DPE in networks, and present preliminary data illustrating the emergence of phase ...
Estimation of distribution algorithms based on multivariate normal and Gaussian networks. Technical Report KZAA-IK-1-01, Dept. of Computer Science and Artificial Intelligence, University of the Basque Country, 2001. Google Scholar I. Rechenberg. Evolutionsstrategie’ 94. Frommann-Holzboog, Stuttgart...
The rapid expansion of the WWW is well known and has huge potential for enabling companies, large and small, to gain new marketplaces globally at low cost,... EJW West - 《Computer Networks & Isdn Systems》 被引量: 11发表: 1997年 Global Information Infrastructure: The Birth, Vision, and...
Therefore, the coevolution spreading dynamics on complex networks has attracted increasing attention in recent years. There are three reasons for us to write this review. First, a large number of papers about coevolution spreading dynamics have emerged recently, but there is still a lack of a ...
Development of computer science disciplines: a social network analysis approach. Soc. Netw. Anal. Min. 1, 321–340 (2011). Article Google Scholar Barabási, A.-L. & Albert, R. Emergence of scaling in random networks. Science 286, 509–512 (1999). Article MathSciNet Google Scholar ...
With the continuous progress of computer science, the performance of new algorithms is getting better and better, which can solve more and more complex problems and demands [47,48]. However, no algorithm is perfect. People try to integrate different algorithms to explore more potential algorithm ...