Let Sources Know: enabling access tracking in a content centric context

Lei, Kai1; Xing, Jie1; Wang, Yi2; Li, KeKe1; Lin, Dong3

10.1109/INFCOMW.2018.8406944

2018

2159-4228

978-1-5386-5980-9

IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS)

286-292

15-19 April 2018

Honolulu, HI, United states

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

As a promising future network architecture, Named Data Networking (NDN) enables efficient content distribution and significantly reduces the overall network traffic through its routing and caching mechanisms. On the other hand, the routing and caching features of NDN could cause a side-effect in which Content Providers (CPs) are unable to acquire the accurate number of access to their contents, since consumers can get contents directly from intermediate network devices such as routers. However, the accurate statistical information of content access is of great importance for CPs when making pricing and cache placement strategies based on content popularity, but now CPs can only assume the content's access information rather than the real data to make strategies. In this paper, we propose a new scheme to help CPs regain the access information of contents timely and efficiently. In our solution, network devices keep track of the requested content information and collect the statistics of the content access information in a self-adaptive manner. The statistical information is sent to CPs by routers when certain events are triggered, so that CPs could obtain the popularity of their contents. With the proposed scheme, CPs, in the context of NDN, based on the real popularity information of contents, can make appropriate caching and pricing strategies for the sake of better serving their business interest. Our simulation further indicates that the proposed scheme is not only lightweight but also exhibits good accuracy and low latency.

Named Data Networking Popularity of contents Content Providers' benefits Self-adaptive thresholds

通讯

英语

CPCI-S ; EI

Shenzhen Key Fundamental Research Projects[JCYJ20170412150946024] ; Shenzhen Key Fundamental Research Projects[JCYJ20170412151008290]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000450157700112

20183105634667

Content based retrieval ; Costs ; Network architecture ; Statistics

Cost and Value Engineering; Industrial Economics:911 ; Mathematical Statistics:922.2

Web of Science

1.Peking Univ, Sch Elect & Comp Engn, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Shenzhen 518055, Peoples R China
3.Huawei Technol Co Ltd, Shenzhen, Peoples R China

Lei, Kai,Xing, Jie,Wang, Yi,et al. Let Sources Know: enabling access tracking in a content centric context[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:286-292.