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Guerrilla Capacity Planning: A Tactical Approach to Planning for Highly Scalable Applications and Services

Neil J. Gunther

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

System Performance and Evaluation; Information Systems Applications (incl. Internet); Performance and Reliability; Software Engineering; Management of Computing and Information Systems

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-26138-4

ISBN electrónico

978-3-540-31010-5

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2007

Tabla de contenidos

Going Guerrilla—A Case Study

Neil J. Gunther

In this chapter we have tried to provide an overview of an important topic regarding the peculiar impact of self-similar Internet traffic on buffer sizing for routers and servers. The reason this is potentially very important for capacity planning is due to LRD clustering of Internet packets of the type first observed in the Bellcore measurements circa 1990. Such fractal-like clustering potentially leads to buffer overflow at much lower than conventionally expected traffic intensities.

Unfortunately, most of the details concerning LRD effects are contained in academic papers that are mathematically very sophisticated and impenetrable to the typical network capacity planner. This chapter has attempted to provide a simpler mathematical treatment than is generally available, but without any loss in accuracy. We concluded with some recent measurements and analysis that indicate the severity of these LRD effects may have been overestimated. Nonetheless, even if LRD effects are less important now than is currently portrayed, the wise GCaP planner will use the tools listed in Sect. 10.2 to monitor Internet traffic for their appearance in the future as multi-media payloads become more commonplace.

Pp. 199-211