Evaluation and characterization of available bandwidth probing techniques
By Ningning Hu, Peter Steenkiste. IEEE J. Sel. Areas Commun., 2003
716 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/5110d60ce36937912ee13afabb3c6e7c9fb6c00b
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In Artificial Intelligence
- K. Claffy
- Michael Piatek
- Arvind Krishnamurthy
- Ian F. Akyildiz
- T. Anderson
- R. Venkatesha Prasad
- C. Dovrolis
- Arun Venkataramani
In Computer Networks and Communications
- Ian F. Akyildiz
- Arvind Krishnamurthy
- Harsha V. Madhyastha
- K. Claffy
- T. Anderson
- R. Venkatesha Prasad
- C. Dovrolis
- Arun Venkataramani
Citations in the corpus
- Bandwidth estimation: metrics, measurement techniques, and tools (2003, methodology): “More recently, two new tools have been proposed for available bandwidth estimation: IGI [29] and pathChirp [28].”
- iPlane: an information plane for distributed services (2006, methodology): “Available Bandwidth Measurements: Once we have link capacities, we can probe for available bandwidth along path segments using packet dispersion techniques such as Spruce [50], IGI [21], Pathload [25].”
- A Cross-Layer (Layer 2 + 3) Handoff Management Protocol for Next-Generation Wireless Systems (2006, methodology): “If this extra signaling overhead is undesirable for a particular deployment scenario, then the existing delay estimation algorithms [16], [17] can be used to estimate the handoff signaling delay.”