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Author Coilein, Diarmuid ♦ Omahony, Donal
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Accountability ♦ CDN-P2P ♦ Caching ♦ Content distribution ♦ Content distribution network ♦ Information-centric networking ♦ Peer-to-peer
Abstract Many content distribution architectures offer desirable elements that lead to less bandwidth usage, reduced network congestion, higher content availability, and reduced costs. However, their level of adoption and utilization in commercial environments depends on the level of content $\textit{accounting}$ and $\textit{accountability}$ they offer. Content accounting refers to any information that a content distributor needs to track relating to the delivery of content to its intended consumers. In contrast, content accountability refers to the willingness of the communicating infrastructure to produce accurate and verifiable information about the content distribution process. This article surveys existing and proposed future content delivery architectures detailing their methodologies for providing efficient low-cost content distribution, content accounting, and accountability across trustworthy and untrustworthy infrastructures. We use two methods to help identify the drawbacks and merits of these architectures. The first is a taxonomy for accounting information based on our analysis of logging information gathered from the surveyed systems. The second is a generic model for content distribution based on a synthesis of desirable elements from the surveyed architectures. These methods help highlight key architectural elements required for efficient low-cost content distribution. Finally, we identify outstanding challenges related to establishing accountability in accounting information produced for content distributed across trusted and untrusted infrastructures.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-05-11
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 47
Issue Number 4
Page Count 35
Starting Page 1
Ending Page 35

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Source: ACM Digital Library