by Ho, L. Lawrence

DOI: 10.1023/A:1018726102150
Print publication date: 3/1/1999
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by Sethi, Adarshpal S.

DOI: 10.1023/A:1018774018080
Print publication date: 3/1/1999
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by Doherty, Conor; Uslander, Thomas

DOI: 10.1023/A:1018722001242
Print publication date: 3/1/1999
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by Ray, Pradeep; Fry, Michael; Khasnabish, Bhumip

With the increasing implementation by networkedmission-critical applications, an enterprise network isbecoming the lifeline of an organization. Massiveinvestments are being made in the modernization of enterprise networks of diverse serviceorganizations, such as telecommunications andhealth-care providers. Organizations need to adapt tochanging business environment, such as the deregulationof telecommunication services. This necessitates a seamlessintegration of business management processes withenterprise network management processes. Hence there isa need for the formulation of new methodologies for there-engineering of management solutions (with focus onintegrated business processes), though most present daysolutions concentrate on the management of networkequipment only. This paper presents a new methodologyfor the reengineering of the management processesfor enterprise networks, based on Computer SupportedCooperative Work (CSCW) techniques.

DOI: 10.1023/A:1018769917171
Print publication date: 3/1/1999
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by Anerousis, Nikolaos

We present the architecture of Marvel, adistributed computing environment for building scalablemanagement services using intelligent agents and theworld-wide web. Marvel is based on an information model that generates computed views of managementinformation and a distributed computing model that makesthese views available to a variety of clientapplications. Computed views consist of monitoring,control and event views of information collected fromnetwork elements and subsequently aggregated using aseries of spatial and temporal filters. Marvel does notreplace existing element management agents but rather builds on top of them a hierarchy ofservers that generate computed views and present them toclient applications in a number of formats, includingJava-enriched web pages. It uses a distributed persistent store to reduce the cost associatedwith centralized network management systems and mobileagent technology to: (a) support thin clients byuploading the necessary code to access Marvel services; and (b) extend its functionality dynamically bydownloading code that incorporates new objects andservices. A prototype implementation in Java ispresented together with results from its firstapplication on a residential broadband access system usingcable modems.

DOI: 10.1023/A:1018717900333
Print publication date: 3/1/1999
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by Stamatelopoulos, F.; Maglaris, B.

This paper is motivated by the increasing needfor scaleable, distributed management architectures forintegrated network, system and application managementwithin the enterprise network environment. Such integration, extension and wide area deploymentof management functionality impose heavy performancerequirements and produce increased management traffic.Aiming to minimize this traffic and the overall response time, we propose a distributedhierarchical caching scheme that attempts to takeadvantage of the diverse consistency requirements ofmanagement applications. We define coherency conditionsand update policies, identify the appropriateinteraction semantics, and discuss an SNMP-basedimplementation. In order to evaluate the proposed modeland to quantify the expected performance gains weconstruct a simple queuing model that provides analyticalresults on the improvement of response time and thereduction of management traffic. Finally, the analysisof experimental results provides some insight on performance improvement for specific classes ofmanaged objects.

DOI: 10.1023/A:1018765816263
Print publication date: 3/1/1999
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by Thottan, Marina; Ji, Chuanyi

The detection of network fault scenarios wasachieved using an appropriate subset of ManagementInformation Base (MIB) variables. Anomalous changes inthe behavior of the MIB variables was detected using a sequential Generalized Likelihood Ratio (GLR)test. This information was then temporally correlatedusing a duration filter to provide node level alarmswhich correlated with observed network faults and performance problems. The algorithm wasimplemented on data obtained from two different networknodes. The algorithm was optimized using five of thenine fault data sets, and it proved general enough to detect three of the remaining four faults.Consistent results were obtained from the second node aswell. Detection of most faults occurred in advance (atleast 5 minutes) of the fault suggesting the possibility of prediction and recovery in thefuture.

DOI: 10.1023/A:1018713732192
Print publication date: 3/1/1999
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by Martin-Flatin, Jean-Philippe; Znaty, Simon; Hubaux, Jean-Pierre

Since the mid 1990s, network and systemsmanagement has steadily evolved from centralizedparadigms, where the management application runs on asingle management station, to distributed paradigms,where it is distributed over many nodes. In thissurvey, our goal is to classify all these paradigms,especially the new ones, in order to help network andsystems administrators design a management application, and choose between mobile code, distributedobjects, intelligent agents, etc. Step by step, we buildan enhanced taxonomy based on four criteria: thedelegation granularity, the semantic richness of the information model, the degree of specificationof a task, and the degree of automation ofmanagement.

DOI: 10.1023/A:1018761615354
Print publication date: 3/1/1999
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by Skudrna, Vincent J.; Lou, Tseng Ming

DOI: 10.1023/A:1018709631284
Print publication date: 3/1/1999
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by Khasnabish, Bhumip; Ahmadi, Majid

DOI: 10.1023/A:1018797214446
Print publication date: 3/1/1999
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