Scalable classification of QoS for real-time interactive applications from IP traffic measurements.
Saved in:
| Title: | Scalable classification of QoS for real-time interactive applications from IP traffic measurements. |
|---|---|
| Authors: | Middleton, Stuart E.1 sem@it-innovation.soton.ac.uk, Modafferi, Stefano1 |
| Source: | Computer Networks. Oct2016 Part 1, Vol. 107, p121-132. 12p. |
| Subjects: | Internet protocols, Quality of service, Internet traffic, Internet service providers, Mathematical optimization |
| Abstract: | Measurement of network Quality of Service (QoS) has attracted considerable research effort over the last two decades. The recent trend towards Internet Service Providers (ISP's) offering application-specific QoS is creating possibilities for more sophisticated QoS metrics to be offered by ISP's in service level agreements. This in turn could be used for the purposes of improved network optimization and billing according to application specific QoS guarantees. We report a scalable near real-time approach using passively logged IP traffic data for classification of application latency and packet loss across a range of real-time interactive applications. We run six experiments involving Minecraft, Quake 3 Urban Terror, VLC video streaming and the commercial Wirofon VOIP application. We use a mixture of laboratory and real-world deployments, with run times ranging from hours to days, and observe a combination of real and simulated ISP latency and packet loss events. Our binary classification (i.e. classes 'OK' or 'lag') 10-fold cross validation F1 scores are between 0.80 and 0.93 depending on the application type. Our multi-class classification (i.e. classes representing discrete packet loss or latency ranges) 10-fold cross validation F1 scores for Minecraft are 0.89 for latency and 0.90 for packet loss. With new business models between ISP's and application developers being actively considered this work represents a significant contribution to the debate by providing scientific evidence relating to a novel approach to scalable QoS measurement [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Networks is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 118497651 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Scalable classification of QoS for real-time interactive applications from IP traffic measurements. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Middleton%2C+Stuart+E%2E%22">Middleton, Stuart E.</searchLink><relatesTo>1</relatesTo><i> sem@it-innovation.soton.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Modafferi%2C+Stefano%22">Modafferi, Stefano</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Networks%22">Computer Networks</searchLink>. Oct2016 Part 1, Vol. 107, p121-132. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Internet+protocols%22">Internet protocols</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+traffic%22">Internet traffic</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+service+providers%22">Internet service providers</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Measurement of network Quality of Service (QoS) has attracted considerable research effort over the last two decades. The recent trend towards Internet Service Providers (ISP's) offering application-specific QoS is creating possibilities for more sophisticated QoS metrics to be offered by ISP's in service level agreements. This in turn could be used for the purposes of improved network optimization and billing according to application specific QoS guarantees. We report a scalable near real-time approach using passively logged IP traffic data for classification of application latency and packet loss across a range of real-time interactive applications. We run six experiments involving Minecraft, Quake 3 Urban Terror, VLC video streaming and the commercial Wirofon VOIP application. We use a mixture of laboratory and real-world deployments, with run times ranging from hours to days, and observe a combination of real and simulated ISP latency and packet loss events. Our binary classification (i.e. classes 'OK' or 'lag') 10-fold cross validation F1 scores are between 0.80 and 0.93 depending on the application type. Our multi-class classification (i.e. classes representing discrete packet loss or latency ranges) 10-fold cross validation F1 scores for Minecraft are 0.89 for latency and 0.90 for packet loss. With new business models between ISP's and application developers being actively considered this work represents a significant contribution to the debate by providing scientific evidence relating to a novel approach to scalable QoS measurement [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Networks is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=118497651 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.comnet.2016.04.017 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 121 Subjects: – SubjectFull: Internet protocols Type: general – SubjectFull: Quality of service Type: general – SubjectFull: Internet traffic Type: general – SubjectFull: Internet service providers Type: general – SubjectFull: Mathematical optimization Type: general Titles: – TitleFull: Scalable classification of QoS for real-time interactive applications from IP traffic measurements. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Middleton, Stuart E. – PersonEntity: Name: NameFull: Modafferi, Stefano IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 10 Text: Oct2016 Part 1 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 13891286 Numbering: – Type: volume Value: 107 Titles: – TitleFull: Computer Networks Type: main |
| ResultId | 1 |
