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- Garcia, Johan, 1970-, et al.
(författare)
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Towards Video Flow Classification at a Million Encrypted Flows Per Second
- 2018
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Ingår i: Proceedings of 32nd International Conference on Advanced Information Networking and Applications (AINA). - Krakow : IEEE. - 9781538621967 - 9781538621950
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Konferensbidrag (refereegranskat)abstract
- As end-to-end encryption on the Internet is becoming more prevalent, techniques such as deep packet inspection (DPI) can no longer be expected to be able to classify traffic. In many cellular networks a large fraction of all traffic is video traffic, and being able to divide flows in the network into video and non-video can provide considerable traffic engineering benefits. In this study we examine machine learning based flow classification using features that are available also for encrypted flows. Using a data set of several several billion packets from a live cellular network we examine the obtainable classification performance for two different ensemble-based classifiers. Further, we contrast the classification performance of a statistical-based feature set with a less computationally demanding alternate feature set. To also examine the runtime aspects of the problem, we export the trained models and use a tailor-made C implementation to evaluate the runtime performance. The results quantify the trade-off between classification and runtime performance, and show that up to 1 million classifications per second can be achieved for a single core. Considering that only the subset of flows reaching some minimum flow length will need to be classified, the results are promising with regards to deployment also in scenarios with very high flow arrival rates.
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| 2. |
- Nilsson, Alexander, et al.
(författare)
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Measurements of Connection Speed and Latency
- 2017
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This report cover a project done at Karlstad University during the engineering project course DVAE08. The project was aimed to measure response time under load for ”Bredbandskollen”. Functionality was added to measure response time during download and upload. The response time under load was used to be able to explore if excess network queuing occurred in the connection. To be able to measure response time under load over a variety of networks, support wasadded for MONROE,which is an experimental platform for mobile networks. This would enable individual pushing of clients and servers to different Docker containers located around Europe, and subsequently test from them. During upload tests, excessive latency was experienced, so-called bufferbloat.
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