P
Peter Steenkiste
Researcher at Carnegie Mellon University
Publications - 192
Citations - 12043
Peter Steenkiste is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Wireless network & The Internet. The author has an hindex of 53, co-authored 183 publications receiving 11835 citations. Previous affiliations of Peter Steenkiste include University of Florida & Stanford University.
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Proceedings ArticleDOI
Rainbow: architecture-based self-adaptation with reusable infrastructure
TL;DR: The Rainbow framework uses software architectural models to dynamically monitor and adapt a running system and shows that the separation of a generic adaptation infrastructure from system-specific adaptation knowledge makes this reuse possible.
Journal ArticleDOI
Project Aura: toward distraction-free pervasive computing
TL;DR: Aura aims to minimize distractions on a user's attention, creating an environment that adapts to the user's context and needs, specifically intended for pervasive computing environments involving wireless communication, wearable or handheld computers, and smart spaces.
Journal ArticleDOI
Rainbow: architecture-based self-adaptation with reusable infrastructure
TL;DR: The rainbow framework provides reusable infrastructure together with mechanisms for specializing that infrastructure to the needs of specific systems, and lets the developer of self-adaptation capabilities choose what aspects of the system to model and monitor, what conditions should trigger adaptation, and how to adapt the system.
Journal ArticleDOI
Evaluation and characterization of available bandwidth probing techniques
Ningning Hu,Peter Steenkiste +1 more
TL;DR: This paper uses modeling, measurements, and simulations to better characterize the interaction between probing packets and the competing network traffic, and presents two available bandwidth measurement techniques, the initial gap increasing (IGI) method and the packet transmission rate (PTR) method.
Proceedings ArticleDOI
Self-management in chaotic wireless deployments
TL;DR: It is argued that end-client experience could be significantly improved by making chaotic wireless networks self-managing, and automated power control and rate adaptation algorithms to minimize interference among neighboring APs, while ensuring robust end- client performance are designed and evaluated.