Complexity - Special issue: Resilient and adaptive defense of computing networks
A Logical Architecture for Active Network Management
Journal of Network and Systems Management
Management of Active and Programmable Networks
Journal of Network and Systems Management
Spam filtering using Kolmogorov complexity analysis
International Journal of Web and Grid Services
JOR: a content-based object router
Computer Communications
Toward in vivo nanoscale communication networks: utilizing an active network architecture
Frontiers of Computer Science in China
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Research into active networking has provided the incentiveto re-visit what has traditionally been classified as distinctproperties and characteristics of information transfer such as protocol versus service; at a more fundamental level this paper considers the blending of computation and communicationby means of complexity.The specific service examined in this paper is network self-prediction enabled by Active Virtual Network Management Prediction.Computation/communication is analyzed via Kolmogorov Complexity.The result is a mechanism to understand and improve the performance of active networking and Active Virtual Network Management Prediction in particular.The Active Virtual Network Management Prediction mechanism allows information, in various states of algorithmic andstatic form, to be transported in the service of prediction for network management.The results are generally applicable to algorithmic transmission of information. Kolmogorov Complexity is used and experimentally validated as a theory describing the relationship among algorithmic compression, complexity, and prediction accuracy within an active network.Finally, the paper concludes with a complexity-basedframework for Information Assurance that attempts to take a holistic view of vulnerability analysis.