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DOI: 10.1023/A:1017492710226
Print publication date: 12/1/2001
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DOI: 10.1023/A:1017440726155
Print publication date: 12/1/2001
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DOI: 10.1023/A:1017418609317
Print publication date: 12/1/2001
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by Cheng, Sheng-Tzong; Chen, Chi-Ming

The features of two important application scenarios, supporting mobile switches with fixed end users and mobile switches with mobile users, are dramatically different from those of the traditional wired network structure. To exploit mobile switches, the location and configuration management of mobile switches is essential to handle the mobility and topology change of the wireless/mobile ATM network. In this paper we address the location management and configuration problems of mobile switches in an ATM network. We investigate several aspects of the location management problem including architecture to support switch mobility, mobile switch tracking, and mobile switch locating. We propose an approach that is based on the Private Network-Network Interface (PNNI) protocol. We extend the PNNI protocol to enable it to handle mobile switches. Moreover, we develop analytical models to determine the tracking and locating costs for mobile switches under the proposed scheme. The models illustrate the relation between total cost (tracking cost + locating cost) and peer group size. The models can be used to derive the optimal configuration for an ATM network with mobile switches.

DOI: 10.1023/A:1012984408408
Print publication date: 12/1/2001
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by Ho, L. Lawrence

DOI: 10.1023/A:1012936525247
Print publication date: 12/1/2001
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by Cabri, Giacomo; Leonardi, Letizia; Zambonelli, Franco

Mobile agents are a promising technology to face the problems raised by the increasing complexity and size of today’s networks. In particular, in the area of network management, mobile agents can lead to a fully distributed paradigm to overcome the limits of traditional centralized approaches. A basic requirement for the management of a complex network is the definition of high-level and flexible models to coordinate the accesses to the resources—data and services—provided by the network nodes. On this basis, this paper describes the MARS coordination architecture for mobile agents. MARS is based on the definition of programmable tuple spaces associated with the network nodes: mobile agents can access the local resources and services via the tuple space, thus adopting a standard and high-level interface. The network administrator—via mobile agents—can dynamically program the behavior of the tuple space in reaction to the agents’ access to the tuple space, thus leading to a flexible network model. Several examples show the effectiveness of the MARS approach in supporting network management activities.

DOI: 10.1023/A:1012932424338
Print publication date: 12/1/2001
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by Hernandez, Edwin A.; Chidester, Matthew C.; George, Alan D.

High-performance networks require sophisticated management systems to identify sources of bottlenecks and detect faults. At the same time, the impact of network queries on the latency and bandwidth available to the applications must be minimized. Adaptive techniques can be used to control and reduce the rate of sampling of network information, reducing the amount of processed data and lessening the overhead on the network. Two adaptive sampling methods are proposed in this paper based on linear prediction and fuzzy logic. The performance of these techniques is compared with conventional sampling methods by conducting simulative experiments using Internet and videoconference traffic patterns. The adaptive techniques are significantly more flexible in their ability to dynamically adjust with fluctuations in network behavior, and in some cases they are able to reduce the sample count by as much as a factor of two while maintaining the same accuracy as the best conventional sampling interval. The results illustrate that adaptive sampling provides the potential for better monitoring, control, and management of high-performance networks with higher accuracy, lower overhead, or both.

DOI: 10.1023/A:1012980307500
Print publication date: 12/1/2001
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by Koch, Fernando Luiz; Westphall, Carlos Becker

Centralized approaches to Network Management have demonstrated a clear inadequacy for efficient management of large and heterogeneous computer networks. Considerable research is being carried out on decentralized approaches for network management. This paper presents the work on a practical application of Distributed Artificial Intelligence for computer network management. The objective is to implement a software platform using only Intelligent Autonomous Agents, integrated with the SNMP environment.

DOI: 10.1023/A:1012976206591
Print publication date: 12/1/2001
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by Au, T. Andrew

Based on a clear separation between switching hardware and control software, the concept of open signaling creates an open programmable networking environment in which network entities can be realized as high level software objects with well-defined interfaces. This underlying architecture facilitates the creation of multiple mechanisms of network control, supporting applications for connection management. The feasibility of a connection management framework however depends mainly on the performance of CORBA because of binding overheads associated with remote invocations. It has been proposed that an implementation with reasonable performance may require certain criteria to be integrated into the design, including caching of network states, aggregation of access to the switch server object, and parallel processing of a single call request. This paper considers the effectiveness of these design criteria and the associated performance issues of a connection management system for ATM networks.

DOI: 10.1023/A:1012928323429
Print publication date: 12/1/2001
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by Khan, Malik

DOI: 10.1023/A:1012907522521
Print publication date: 12/1/2001
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