Journal article
Efficient policing for screen mirroring traffic
Human-centric Computing and Information Sciences, Vol.8, Article number: 4
2018
Abstract
The greediness of multimedia applications in terms of their bandwidth demands calls for new and efficient network traffic control mechanisms, especially in wireless networks where the bandwidth is limited. In an enterprise-like environment, an additional burden is expected to be added to the network by screen mirroring traffic. Smart mobile devices are displacing personal computers in many daily applications but at the same time users still need to use a large display, keyboard and mouse. Hence, the transmission of low-latency, high fidelity video over a Wi-Fi link can lead to significant unfairness among users in terms of the bandwidth that is available to them, if this wireless video traffic is not accurately policed. In this work, we focus on the problem of policing screen mirroring traffic. We evaluate various classic and new traffic policing mechanisms, and we propose a new mechanism which is shown to clearly outperform all other mechanisms, including the widely used token bucket policer.
Details
- Title
- Efficient policing for screen mirroring traffic
- Authors/Creators
- O-S Loizides (Author/Creator) - Technical University of CreteM. Kastrinakis (Author/Creator) - Technical University of CreteG. Badawy (Author/Creator) - McMaster UniversityM.N. Smadi (Author/Creator) - McMaster UniversityD. Murray (Author/Creator) - Murdoch UniversityP. Koutsakis (Author/Creator) - Murdoch University
- Publication Details
- Human-centric Computing and Information Sciences, Vol.8, Article number: 4
- Publisher
- SpringerOpen
- Identifiers
- 991005542171507891
- Copyright
- © 2018 The Author(s)
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
93 File views/ downloads
27 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.46 Distributed & Real Time Computing
- 4.46.1156 Congestion Control
- Web Of Science research areas
- Computer Science, Information Systems
- ESI research areas
- Computer Science