Active virtual network management prediction: complexity as a framework for prediction, optimization, and assurance

@article{Bush2002ActiveVN,
  title={Active virtual network management prediction: complexity as a framework for prediction, optimization, and assurance},
  author={Stephen F. Bush},
  journal={Proceedings DARPA Active Networks Conference and Exposition},
  year={2002},
  pages={534-553}
}
  • S. Bush
  • Published 11 March 2002
  • Computer Science
  • Proceedings DARPA Active Networks Conference and Exposition
The paper considers the blending of computation and communication by means of complexity. The specific service examined 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… 
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References

SHOWING 1-10 OF 27 REFERENCES
Predicting resource demand in heterogeneous active networks
TLDR
Improvement in AVNMP performance is shown when adaptive CPU models replace more traditional non-adaptive CPU models, which can enable AVnMP to predict active-network resource usage farther into the future, and lowers prediction overhead.
Active Virtual Network Management Prediction
TLDR
This project has designed, prototyped, and experimentally validated a prediction mechanism that uses the new capabilities of active networks to add prediction to network management, known as Active Virtual Network Management Prediction (AVNMP).
Predicting and controlling resource usage in a heterogeneous active network
TLDR
This paper presents an approach to model the CPU time requirements of active applications in a form that can be interpreted among heterogeneous nodes and demonstrates how this approach can be used successfully to control resources consumed at an active-network node and to predict load among nodes in an active network, when integrated within the Active Virtual Network Management Prediction system.
Active Networks and Active Network Management: A Proactive Management Framework
TLDR
The basic active networking paradigm is introduced and its potential impacts on the future of information handling in general and on communications in particular are introduced.
Active Network Management and Kolmogorov Complexity
TLDR
New and better ways to represent network health are described and a new perspective that incorporates Algorithmic Information Theory can provide superior, innovative solutions for network management.
Parasitic computing
TLDR
Here it is shown that these protocols can be exploited to compute with the communication infrastructure, transforming the Internet into a distributed computer in which servers unwittingly perform computation on behalf of a remote node.
A predictive mobility management algorithm for wireless mobile computing and communications
  • G. Y. Liu, Gerald Q. Maguire
  • Computer Science
    Proceedings of ICUPC '95 - 4th IEEE International Conference on Universal Personal Communications
  • 1995
TLDR
By combining the predictive mobility management algorithm with a mobility agent scheme, the service and user data structure can be actually pre-connected and pre-assigned at the locations to which the user is moving and the user can immediately receive service or data with virtually the same efficiency as at the previous location.
Information assurance through Kolmogorov complexity
  • S. Evans, S. Bush, J. Hershey
  • Computer Science
    Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01
  • 2001
The problem of information assurance is approached from the point of view of Kolmogorov complexity and minimum message length criteria. Several theoretical results are obtained, possible applications
Proceedings DARPA Active Networks Conference and Exposition
  • Computer Science
    Proceedings DARPA Active Networks Conference and Exposition
  • 2002
The following topics were dealt with: active network programming; active node architectures; active network architecture; active network security; execution environments; active services; and active
Minimum Message Length and Kolmogorov Complexity
TLDR
This work attempts to establish a parallel between a restricted (two-part) version of the Kolmogorov model and the minimum message length approach to statistical inference and machine learning of Wallace and Boulton (1968), in which an ‘explanation’ of a data string is modelled as a two-part message.
...
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