Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Syste 2012
DOI: 10.1145/2254756.2254819
|View full text |Cite
|
Sign up to set email alerts
|

Content-aware traffic engineering

Abstract: Recent studies show that a large fraction of Internet traffic is originated by Content Providers (CPs) such as content distribution networks and hyper-giants. To cope with the increasing demand for content, CPs deploy massively distributed server infrastructures. Thus, content is available in many network locations and can be downloaded by traversing different paths in a network. Despite the prominent server location and path diversity, the decisions on how to map users to servers by CPs and how to perform tra… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
24
0

Year Published

2013
2013
2019
2019

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 26 publications
(24 citation statements)
references
References 7 publications
0
24
0
Order By: Relevance
“…Traditionally, CDNs operate solely on self-obtained information and metrics, which is often inaccurate and gives only an estimate of end-to-end performance rather than specifics of the traversed networks and links [27,28]. In line with the vision presented in this article, there has been a recent push towards collaborative techniques between CDNs and ISPs, giving the latter the opportunity to steer the CDN server selection process based on more accurate information from its own network.…”
Section: Content Delivery Networkmentioning
confidence: 99%
See 1 more Smart Citation
“…Traditionally, CDNs operate solely on self-obtained information and metrics, which is often inaccurate and gives only an estimate of end-to-end performance rather than specifics of the traversed networks and links [27,28]. In line with the vision presented in this article, there has been a recent push towards collaborative techniques between CDNs and ISPs, giving the latter the opportunity to steer the CDN server selection process based on more accurate information from its own network.…”
Section: Content Delivery Networkmentioning
confidence: 99%
“…In line with the vision presented in this article, there has been a recent push towards collaborative techniques between CDNs and ISPs, giving the latter the opportunity to steer the CDN server selection process based on more accurate information from its own network. Frank et al proposed Content-aware Traffic Engineering (CaTE) [28]. The framework leverages the location diversity offered by distributed CDNs, influencing the delivery path of content by selecting an appropriate server.…”
Section: Content Delivery Networkmentioning
confidence: 99%
“…While some of the proposals have focused on content placement strategy only (Sourlas et al, 2012;Laoutaris et al, 2006;Borst et al, 2010;Dai et al, 2012;Wauters et al, 2006;Korupolu and Dahlin, 2002), others have proposed new mechanisms to manage the redirection of user requests (Valancius et al, 2013;Frank et al, 2012). Optimal solution structures for the combined problem of content placement and server selection have also been developed (Baev and Rajaraman, 2008;Bekta et al, 2008;Applegate et al, 2010).…”
Section: Related Workmentioning
confidence: 99%
“…These range from ISP-centric caching approaches (Kamiyama et al, 2009;Cho et al, 2011), which exclude CDNs from the delivery chain, to collaborative solutions (Jiang et al, 2009;Frank et al, 2012;Wichtlhuber et al, 2015), defining new models of cooperation between ISPs and CDNs. Another relevant initiative concerns the Content Delivery Network Interconnection (CDNI) working group of the Internet Engineering Task Force (IETF) which focuses on standardizing the communications between CDNs to allow interoperability between different vendors 1 .…”
Section: Related Workmentioning
confidence: 99%
“…This is mainly attributed to the fact that CDN providers control both the placement of content in surrogate servers spanning different geographic locations, as well as the decision on where to serve client requests from (i.e., server selection) [6]. These decisions are taken without knowledge of the precise network topology and state in terms of traffic load, and can result in network performance degradation affecting the service quality experienced by the end users.…”
Section: Introductionmentioning
confidence: 99%