by Netak, Laxman D.; Kiwelekar, Arvind W.

DOI: 10.1007/s10922-006-9028-7
Online Date: 6/28/2006
Print publication date: 6/1/2006
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by Du, Xiaojiang

Poison message failure is a mechanism that has been responsible for large-scale failures in both telecommunications and IP networks. The poison message failure can propagate in the network and cause unstable network. In this paper, we apply machine learning, data mining technique in network fault management area. We use k-nearest neighbor method to identify the poison message failure. Also we integrate the k-nearest neighbor method with message filtering approach. We also propose a “probabilistic” k-nearest neighbor method that outputs a probability distribution (rather than the identity) of the poison message. Through extensive simulations, we show that k-nearest neighbor method is very effective in identifying the responsible message type.

DOI: 10.1007/s10922-006-9027-8
Online Date: 6/22/2006
Print publication date: 6/1/2006
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by Phanse, Kaustubh S.; Bhat, Aniket; DaSilva, Luiz A.

The ability to dynamically configure mobile ad-hoc network (MANET) devices is critical for supporting complex services such as quality of service (QoS), security and access control in these networks. In our work, we address the problem of policy distribution and provisioning in MANETs. Previously, we have proposed a policy provisioning architecture that enables the operator, e.g., a military command and control center, to maintain a logically centralized control of the network as a whole, while allowing a physically decentralized and self-managing implementation essential for a MANET environment. In this paper, we present an analytical model of the availability of the policy distribution service in a MANET and analyze the performance using stochastic Petri nets (SPNs). We develop the model at two levels of complexity: as a simple Markovian model with Poisson assumptions and as a more accurate non-Markovian model with general distributions obtained using statistical parameterization. We compare and cross-validate the analytical results with simulation and experimental results. Finally, we illustrate the effectiveness of the architecture for managing QoS for soft real-time applications, using an emulated mobile ad-hoc network testbed.

DOI: 10.1007/s10922-006-9029-6
Online Date: 6/22/2006
Print publication date: 6/1/2006
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by Kulju, William; Lutfiyya, Hanan

Multimedia applications often have performance requirements that make these applications computing resource intense; e.g., the number of video frames displayed to the user must be about 25 frames per second. A user hint is an indication of the interest that a user has in an application. Examples of user hints include a screen saver being invoked or covering a window with another window. In the case that the user is running video, the occurrence of these hints imply that the user is no longer viewing the video. However, the resource usage of the application has not changed. This paper describes an architecture that make use of user hints to reduce the resource consumption of an application. The emphasis is on network traffic and CPU usage. Experimental results are presented.

DOI: 10.1007/s10922-006-9025-x
Online Date: 6/20/2006
Print publication date: 6/1/2006
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by Sorte, Dario; Femminella, Mauro; Reali, Gianluca

If the Internet is to become a network supporting differentiated application and transfer services, advanced architectures must be deployed to efficiently support hard Quality of Service (QoS) and usage-based charging. In this paper we present a novel pricing scheme for IP services with guaranteed quality. Our approach is built on the basis of the virtual delay, which is a novel, simple and effective QoS index that describes an advanced IP service. We propose a model to compute the virtual delay from a purely technical point of view, taking into account not only guaranteed performance, but also traffic and system parameters. We then analyze the sensitivity of both the virtual delay and the tariff towards the involved parameters, taking into account both the users’ benefit and the operators’ income. We also extend the pricing model to make it dependent on service demand. Finally, we also present an economic analysis, the aim of which is to establish a model to set the QoS level and the relevant price, taking into account revenue, social fairness, and service availability.

DOI: 10.1007/s10922-006-9030-0
Online Date: 6/13/2006
Print publication date: 6/1/2006
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by Gazis, Vangelis; Alonistioti, Nancy; Houssos, Nikos; Koutsopoulou, Maria; Gessler, Stefan; Quittek, Juergen

Mobile communications beyond 3G will integrate different (but complementary) access technologies into a common platform to deliver value-added services and multimedia content in an optimum way. However, the numerous possible configurations of mobile networks complicated the dynamic deployment of mobile applications. Therefore, research is intensely seeking a service provisioning framework that is technology-independent, supports multiple wireless network technologies, and can interwork high-level service management tasks to network management operations. This paper presents an open value chain paradigm, a model for downloadable applications and a mediating platform for service provisioning in beyond 3G mobile settings. Furthermore, we introduce mechanisms that support a coupled interaction between service deployment and network configuration operations, focusing on the dynamic provisioning of QoS state to data path devices according to the requirements of dynamically downloadable mobile value-added services (VAS).

DOI: 10.1007/s10922-006-9026-9
Online Date: 6/13/2006
Print publication date: 6/1/2006
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by Schikora, Paul F.; Godfrey, Michael R.

Managing customer service in dial-up modem operations is critical for both non-profit and for-profit dial-up modem (DMP) operators. When system operators face excess demand, they can either add capacity or adapt their management techniques to deal with their limited resources—this paper considers the latter. We examine how system operators can more efficiently utilize their resources by imposing connect time limits on their users, as well as the negative impact from such limits. We analyze the use of time limits on two key customer service measures: percent of lost customers (customers who leave the DMP system without receiving service) and percent of customers disconnected before their work is complete. The results show that imposing these limits will have distinct, non-linear impact on these measures. Interactions between several system and environmental parameters are also discussed.

DOI: 10.1007/s10922-006-9031-z
Online Date: 6/9/2006
Print publication date: 6/1/2006
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