Demo Data from VLDB 2026 / reviewers in the wild / expert
Deborah Caswell
dblp:79/1356
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Network management and operations · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network management and operations › fault management
fault diagnosis |
0.0 | 1 | 2000 | Using service models for management of Internet services · IEEE J. Sel. Areas Commun. 2000 |
Network management and operations › fault management › fault diagnosis
root cause analysis |
0.0 | 1 | 2000 | Using service models for management of Internet services · IEEE J. Sel. Areas Commun. 2000 |
Network management and operations
service management |
0.0 | 1 | 2000 | Using service models for management of Internet services · IEEE J. Sel. Areas Commun. 2000 |
Distributed systems › service-oriented architecture › service management
service monitoring |
0.0 | 1 | 2000 | Using service models for management of Internet services · IEEE J. Sel. Areas Commun. 2000 |
Methods — techniques the papers use, named apart from their topics
service model composition · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Using service models for management of Internet servicesabstractAs Internet services grow in complexity, Internet Service Providers (ISPs) are finding out that the ad hoc methods that they have employed thus far to monitor and diagnose their services are not sufficient to provide acceptable service quality to their subscribers. In this paper, we demonstrate how service models can he used by ISPs to effectively manage their service offerings. A service model encapsulates a human expert's knowledge of a service, its components, and its interdependencies with other services. In addition, using ongoing measurements, a service model tracks the health of the different services and their components. By traversing a service model top-down, an operator can not only assess the overall health of a service, but also easily correlate the health of all the services and service components to determine the root cause of any problems that may occur. By minimizing the time and effort needed to diagnose problems, service models enable ISP operators to efficiently resolve problems that occur in an ISP environment. Since each ISP system is unique in many respects, unique service models have to be crafted for each of the services in every ISP system. Handcrafting customized service models requires enormous effort and time on the part of a human expert, a luxury that few ISPs can afford. In this paper, we describe a methodology for constructing customized service models for a target ISP system with minimal human intervention. This methodology relies on a service model creation engine that composes a custom service model for an ISP system using a predefined service model template specification and automatically discovered information about the target ISP system. We describe a prototype implementation of this methodology and present an example of a service model obtained from a real-world ISP system. The concepts described are applicable for the management of networks and services in enterprise systems as well. Deborah Caswell, Srinivas Ramanathan |
IEEE J. Sel. Areas Commun. | 1 |