T. White, A. Bieszczad, and B. Pagurek, "Distributed Fault Location in Networks Using Mobile Agents," in Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, (Paris, France), July 1998.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....profile specified by the user. Our algorithm is based on the concept of swarm intelligence which inherits behavior aspects from social insects and animals. Swarm intelligence has successfully been applied to a range of optimization problems [5] some in the domain of telecommunications [6] 7] [8], 9] Swarm intelligence systems use a high number of simple autonomous agents to search for problem solutions. Groups of (or all) agents cooperate by sharing experiences gained during search. Information is shared by asynchronous indirect communication, i.e. messages (pheromones) left in shared ....

T. White, A. Bieszczad, and B. Pagurek, "Distributed Fault Location in Networks Using Mobile Agents," in Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, (Paris, France), July 1998.

....sponsored by the AVANTEL project. Our algorithm is based on the concept of swarm intelligence which inherits behavior aspects from social insects and animals. Swarm intelligence has successfully be applied to a range of optimization problems [10] some typical in the domain of telecommunications [11, 12, 13, 14]. Swarm intelligence systems use a high number of simple autonomous agents to search for problem solutions. Groups of (or all) agents cooperate by sharing experiences gained during search. Information is shared by asynchronous indirect communication, i.e. messages (pheromones) left in shared ....

T. White, A. Bieszczad, and B. Pagurek, "Distributed Fault Location in Networks Using Mobile Agents," in Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA '98, (Paris, France), July 1998.

....this is not desirable. Robustness to faults is essential if faults are to be handled properly. By emerging to a more distribute architecture dependability can be improved. Recently mobile agent technology [3, 2] has been recognised as a potential tool for implementing distributed NFM system [10, 2, 18]. In a distribute architecture the NFM MAS NE MAS NE MAS NE MAS NE MAS NE NE NE (Gateway) facility factory Agent MAS Agent facility factory MAS = Mobile Agent System = Network Element MAS NE = Mobile Agent involved in fault management Figure 1: NFM using mobile agents ....

....extra network load. Thus choosing a fine granularity, i.e. small simple agents, seems sensible. But can simple agents assist in NFM of complex network environments Recent work on applying principles of collective behavior to problems of the network management domain has shown promising results [5, 19, 17, 18]. The idea is based on using a high number of small and simple agents. By letting each of these agents move around and perform simple operations, a powerful collective behavior emerges which again makes the group of agents capable of performing complex tasks. We argue that in a NFM system based ....

T. White A. Bieszczad B. Pagurek. Distributed Fault Location in Networks Using Mobile Agents. In Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, Paris, France, July 1998.

....autonomous to ensure robustness of the total system. The units may also be able to migrate between NEs to be capable of coping with dynamics in the network environment. Recently, mobile agent technology [3, 2] has been recognised as a potential tool for implementing dynamic distributed NFM systems [10, 2, 17] especially since both autonomy and mobility are fundamental attributes of mobile agents. For existence, a mobile agent is dependent on a suitable environment. We choose to view such an environment as a collection of mobile agent systems (MAS) of compatible system types. Our view conforms with ....

....extra network load. Thus choosing a fine granularity, i.e. small simple agents, seems sensible. But can simple agents assist in NFM of complex network environments Recent work on applying principles of collective behavior to problems of the network management domain has shown promising results [5, 18, 16, 17]. The idea is based on using a high number of small and simple agents. By letting each of these agents move around and perform simple operations, a powerful collective behavior emerges which again makes the group of agents capable of performing complex tasks. We argue that in a NFM system based on ....

T. White A. Bieszczad B. Pagurek. Distributed Fault Location in Networks Using Mobile Agents. In Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, Paris, France, July 1998.

....no persistence to recover from failure. The store uses process redundancy# with n processes it tolerates up to n ; 1 fail stop process failures. Mobile agents using the global store abstraction One of the challenges for mobile agent platforms is to provide robust and fault tolerant mobile agents [4,5]. We build an agent API on top of the global store that provides fault tolerance, agent mobility without site dependencies, and permits home communication without any dependencies. In general, an agent can create anynumber of global stores. A first global store is used for the agent s own state, ....

....submitted, July 2000. 3] Mozart Consortium. The Mozart Programming System (Oz 3) Available at http: www.mozart oz.org, January 1999. 4] Holger Pals, Stefan Petri, and Claus Grewe. FANTOMAS: Fault Tolerance for Mobile Agents in Clusters. IPDS 2000 Workshops, LNCS 1800, pages 1236 1247, 2000. [5] Detlef Schoder and Torsten Eymann. The Real Challenges of Mobile Agents. Communications of the ACM (43) 6, pages 111 112, June 2000. A Knowledge based Internet Agent System with a Formal Verification Facility Tadashi Araragi NTT Communication Science Laboratories 2 4 Hikaridai, Seika cho, ....

[Article contains additional citation context not shown here]

T. White A. Bieszczad B. Pagurek. Distributed Fault Location in Networks Using Mobile Agents. In Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, Paris, France, July 1998.

.... of mobile agent technology for network management and its potential benefits [7,8,11] especially if the mobile agents form a swarming intelligence [12,13] Examinations of swarming intelligence in specific areas of network management cover configuration management [14] and fault management [15]. In the following, we will focus on swarming intelligence with mobile agents for load balancing in telecommunications networks and present a decentralized architecture which suits this purpose. As discussed later in this paper, it will serve as an enabling technology for the load balancing ....

White, T.; Bieszczad, A.; Pagurek, B.: Distributed Fault Location in Networks Using Mobile Agents. In: Proceedings of the 3rd International Workshop on Agents in Telecommunications Applications IATA'98, AgentWorld'98, Paris, France, July 1998

....usually injected in the network. Each type can address one aspect of the problem, and that aspect is resolved by reinforcing the given hypothesis by the observations of a large number of the same agents. The solution to the problem emerges through the integration of the hypotheses of each species [20, 30]. Both deglets and netlets that comply with certain security provisions might be allowed to perform actions on network devices (Fig. 2) Such active netlets can be used to address problems autonomously leading to an immediate recovery if such an action is possible. The network manager will either ....

White T., Bieszczad A., Pagurek B., Distributed Fault Location in Networks Using Mobile Agents, Proc. of the Int'l Workshop on Agents in Telecommunications Applications IATA'98, (AgentWorld '98), Paris, France, July 4-7, 1998.

....a number of complex tasks. This kind of collective intelligence is termed swarm intelligence [6] 4 Swarm Intelligence and Network Fault Management 4. 1 Robustness Due to its robustness the swarm intelligence approach for problem solving seems promising especially for network fault management [5]. The high degree of distribution implicit in the approach results in high survivability rates against unexpected harmful events. Put into management terms: The management system itself would with a high probability survive failure situations. This would again improve the quality of the fault ....

.... SMA SMA SCA PIA test mark test mark test test mark smell Failure CSA = Condition Sensor Agent SMA = Service Monitoring Agent SCA = Service Change Agent PIA = Problem Identification Agent = Mobile Agent = Static Agent Figure 2: Fault management using swarm agents [5]. ....

T. White A. Bieszczad B. Pagurek. Distributed Fault Location in Networks Using Mobile Agents. In Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, Paris, France, July 1998.

....a number of complex tasks. This kind of collective intelligence is termed swarm intelligence [6] 4 Swarm Intelligence and Network Fault Management 4. 1 Robustness Due to its robustness the swarm intelligence approach for problem solving seems promising especially for network fault management [5]. The high degree of distribution implicit in the approach results in high survivability rates against unexpected harmful events. Put into management terms: The management system itself would with a high probability survive failure situations. This improves the quality of the fault managements ....

.... SMA SMA SCA PIA test mark test mark test test mark smell Failure CSA = Condition Sensor Agent SMA = Service Monitoring Agent SCA = Service Change Agent PIA = Problem Identification Agent = Mobile Agent = Static Agent Figure 2: Fault management using swarm agents [5]. ....

T. White A. Bieszczad B. Pagurek. Distributed Fault Location in Networks Using Mobile Agents. In Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, Paris, France, July 1998.

No context found.

T. White, A. Bieszczad and B. Pagurek, Distributed Fault Location in Networks Using Mobile Agents. In Proceedings of the Second International Workshop on Agents in Telecommunications Applications (IATA '98), pp. 130-141, July 4th-7th, 1998.

....a Mobile Agent MIB are also provided. Keywords SNMP, DPI, mobile agents 1. Introduction In recent years, a number of papers involving mobile agents in network management have been written. These have considered, for example, tasks of network health monitoring [1] 2] fault diagnosis [3], and network configuration [4] There are two parts to the why question of the title: Why mobile agents and Why integrate There are also two aspects to the how part of the title involving whether using pure SNMP is sufficient to accomplish the integration, or whether some other protocol ....

White T., Bieszczad A., and Pagurek B., "Distributed Fault location in Networks Using Mobile Agents" In Proceedings of the Second International Workshop on Intelligent Agents in Telecommunications Applications (IATA '98), Springer

....a Mobile Agent MIB are also provided. Keywords SNMP, DPI, mobile agents 1. Introduction In recent years, a number of papers involving mobile agents in network management have been written. These have considered, for example, tasks of network health monitoring [1] 2] fault diagnosis [3], and network configuration [4] There are two parts to the why question of the title: Why mobile agents and Why integrate There are also two aspects to the how part of the title involving whether using pure SNMP is sufficient to accomplish the integration, or whether some other protocol ....

White T., Bieszczad A., and Pagurek B., "Distributed Fault location in Networks Using Mobile Agents" In Proceedings of the Second International Workshop on Intelligent Agents in Telecommunications Applications (IATA '98), Springer Verlag

....As can be seen in Figure 2, node E sees twice the q chemical as it is the common element for the two paths. The fault detection agent therefore initiates diagnostic activity on this component. Further details on the use of this architecture and its implementation for diagnosis can be found in [23]. Figure 2: Example Diagnosis Hill climbing in the space of q chemical as the primary strategy for fault localization leads the fault detection agent to zero in on faulty components far more quickly than random search. Consider the situation shown in Figure 2. Imagine that there is a single ....

White T., Bieszczad A., Pagurek B., Distributed Fault Location in Networks Using Mobile Agents. Proceedings of the Workshop on Intelligent Agents for Telecommunications Applications (IATA '98), July, 1998.

....network. Each type can address one aspect of the problem, and that aspect is resolved by reinforcing the given hypothesis by the observations of a large number of the same agents. The solution to the problem emerges through the integration of the hypotheses of each species (White et al. 20] [30]) Both deglets and netlets that comply with certain security provisions might be allowed to perform actions on network devices (Figure 2) Such active netlets can be used to address problems autonomously leading to an immediate recovery if such an action is possible. The network manager will ....

White T., Bieszczad A., Pagurek B., Distributed Fault Location in Networks Using Mobile Agents, Proceedings of the International Workshop on Agents in Telecommunications Applications IATA'98,

No context found.

T. White, A. Bieszczad, and B. Pagurek, "Distributed Fault Location in Networks Using Mobile Agents," in Proceedings of the 3rd International Workshop on Agents in Telecommunication Applications IATA'98, (Paris, France), July 1998.

No context found.

T. White, A. Bieszczad, and B. Pagurek. Distributed Fault Location in Networks Using Mobile Agents. In S. Albayrak and F. J. Garijo, editors, Intelligent Agents for Telecommunication Applications --- Proceedings of the Second International Workshop on Intelligent Agents for Telecommunication (IATA'98), volume 1437. Springer-Verlag: Heidelberg, Germany, 1998.

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