Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Measurement-Based Analysis, Modeling, and Synthesis of the Internet Delay Space

MPG-Autoren
/persons/resource/persons180339

Nandi,  Animesh
Group P. Druschel, Max Planck Institute for Software Systems, Max Planck Society;

/persons/resource/persons144511

Druschel,  Peter
Group P. Druschel, Max Planck Institute for Software Systems, Max Planck Society;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Zhang, B., Ng, T. S. E., Nandi, A., Riedi, R., Druschel, P., & Wang, G. (2006). Measurement-Based Analysis, Modeling, and Synthesis of the Internet Delay Space. In Proceedings of the 6th ACM SIGCOMM Conference on Internet Measurement 2006 (pp. 85-98). New York, USA: ACM.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0028-8C89-D
Zusammenfassung
Understanding the characteristics of the Internet delay space (i.e., the all-pairs set of static round-trip propagation delays among edge networks in the Internet) is important for the design of global-scale distributed systems. For instance, algorithms used in overlay networks are often sensitive to violations of the triangle inequality and to the growth properties within the Internet delay space. Since designers of distributed systems often rely on simulation and emulation to study design alternatives, they need a realistic model of the Internet delay space. Our analysis shows that existing models do not adequately capture important properties of the Internet delay space. In this paper, we analyze measured delays among thousands of Internet edge networks and identify key properties that are important for distributed system design. Furthermore, we derive a simple model of the Internet delay space based on our analytical findings. This model preserves the relevant metrics far better than existing models, allows for a compact representation, and can be used to synthesize delay data for simulations and emulations at a scale where direct measurement and storage are impractical.