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DOI: 10.1023/A:1026611808087
Print publication date: 12/1/2000
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DOI: 10.1023/A:1026584103619
Print publication date: 12/1/2000
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DOI: 10.1023/A:1026532119548
Print publication date: 12/1/2000
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by Maryni, Piergiulio; Davoli, Franco

A mechanism for the estimation of the available bandwidth between two end-points of a best-effort network is presented. The estimation is obtained by a simple statistical analysis of the effect that the network has on a synchronous train of packets. The possibility of exploiting self-similar characteristics of the delay jitters is also discussed, and a possible use of the estimates for management actions is suggested.

DOI: 10.1023/A:1026434517164
Print publication date: 12/1/2000
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by Jajszczyk, Andrzej

DOI: 10.1023/A:1026580002710
Print publication date: 12/1/2000
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by Lutfiyya, Hanan L.; Bauer, Michael A.; Marshall, Andrew D.; Stokes, David K.

Managing the availability and performance of a distributed system involves monitoring the behavior of the system, identifying system problems, and correcting those problems. Each of these tasks requires some expertise, such as an understanding of the mechanics of the underlying system components. As the size and complexity of these systems increases, and the number of distributed applications executing on these systems increases, managing the availability and performance of distributed systems becomes more difficult. Little research has focused on embedding systems management expertise into a management application for a distributed system. In this paper we describe a rule-based management application for a commercially available distributed computing environment that is capable of monitoring the distributed system, detecting system service-related performance and availability problems, and generating corrective actions to correct the problems.

DOI: 10.1023/A:1026482400326
Print publication date: 12/1/2000
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by Barotto, André Mello; de Souza, Andriano; Westphall, Carlos Becker

Java, WWW, and CORBA are complementary technologies that, once joined, may offer a powerful mechanism for the development of distributed management applications without necessarily overlapping some already existing standards such as SNMP and CMIP. Within this context, this paper makes use of these technologies in order to implement a distributed system for the management of a cluster of high performance stations. The information transfer required by this system is basically under the responsibility of the SNMP and the IIOP/CORBA protocols, while the user interaction with the system is done through a Web browser.

DOI: 10.1023/A:1026430416255
Print publication date: 12/1/2000
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by Ramanathan, Srinivas; Caswell, Deborah; Neal, Scott

Auto-discovery is one of the key technologies that enables management systems to be quickly customized to the environments that they are intended to manage. As Internet services have grown in complexity in recent years, it is no longer sufficient to monitor and manage these services in isolation. Instead, it is critical that management systems discover dependencies that exist among Internet services, and use this knowledge for correlation of measurement resutls, so as to determine the root-causes of problems. While most existing management systems have focused on discovery of host, servers, and network elements in isolation, in this paper we describe auto-discovery techniques that discover relationships among services. Since new Internet services and service elements are being deployed at a rapid pace, it is essential that the discovery methodologies be implemented in an extensible manner, so that new discovery capabilities can be incrementally added to the management system. In this paper, we present an extensible architecture for auto-discovery and describe a prototype implementation of this architecture and associated auto-discovery techniques. We also highlight experiences from applying these techniques to discover real-world ISP systems. Although described in the context of ISP systems, the concepts described in this paper are applicable for the discovery of services and inter-service relationships in enterprise systems as well.

DOI: 10.1023/A:1026478332185
Print publication date: 12/1/2000
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by Lizambri, T.; Duran, F.; Wakid, S.

DOI: 10.1023/A:1026471215347
Print publication date: 12/1/2000
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