Congestion-aware caching and search in information-centric networks

Badov, Mikhail; Seetharam, A.; Kurose, Jim; Firoiu, Victor; Nanda, Santosh Kumar

doi:10.1145/2660129.2660145

Cited by 76 publications

(44 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A probabilistic storage based heuristic caching method, the content with higher popularity and greater placement earnings can have a greater caching probability have been proposed [19]. Badov et al [20] proposed a congestion perception and lookup mechanism, which caches the more helpful content to alleviate congestion and considers low bandwidth load of links preferentially when forwarding request messages. These schemes have a better performance in the cache hit ratio and bandwidth saving, however, most of them, assuming content popularity is a known parameter, besides, there is no clear description information that how to obtain and maintain content popularity by the router.…”

Section: 2caching Scheme Based On Content Popularitymentioning

confidence: 99%

Popularity and gain based caching scheme for information-centric networks

Fan¹,

Wu²,

Zhang³

et al. 2017

IJACR

View full text Add to dashboard Cite

1.IntroductionWith the rapid development of internet, several of new applications have appeared. The traditional centered on host network architecture has been difficult to adapt to new application requirements, which faced with a series of challenges in mobility support, network scalability and security, etc. Although caching technology in application of content delivery networks (CDN) and peer to peer (P2P) [1] has alleviated the pressure of application requirements to a certain extent. The current caching strategies are aimed at a specific application and the technology with shortcomings of high complexity and costs and can't apply to all applications. In order to solve these problems, researchers have focused attention on research of new Internet architecture [2]. Information-centric networks (ICN) emerges at the right moment and has received extensive research and development, among which; the respective schemes under this background include the contentcentric networking (CCN)/ named-data networking (NDN) [3], data-oriented network architecture (DONA) [4], NetInf [5], PDX [6], etc. In ICN, each node is equipped with a built-in cache, and its core idea is that storing content through internal routers of the network, then the user requests forward in the network. *Author for correspondenceThe caches will respond directly if hit along the way, rather than from the content source (server) each time [7].Due to cache content closer to users, thus can reduce the consumption of network bandwidth, server load and user access delay [8]. It is considering these advantages, this thought is extended to the entire network and all applications in the design of the new Internet.Caching mechanism is the core of the ICN technology, the pros and cons of a caching system directly affect the efficiency of ICN content distribution, and a reasonable caching policy enables users easier to access, to content from the near cache nodes without from original content server (OCS) every time. The content placement and replacement strategy are two important aspects of caching technology research, however, the major problems of current caching policies include low space utilization rate, and low cache hit ratio and large access latency. In order to solve the above problems, this paper proposes a PGBCS Scheme. The main contributions of this paper are as follows.1) Refining the level of popularity to content chunk.The existing caching strategies are mostly based on content popularity, which is not the same as Research Article AbstractIn information-centric networks (ICN), each node is equipped with a cache and it can improve content access and transmission efficiency. However, the built-in cache capacity is small, and it can't completely store huge amounts of content transmitted. The existing caching schemes lack choices in content placement and balanced distribution, thus, leading to the problem of low cache hit ratio and high user access time delay. To solve the problem, this paper proposes a popularity and gain based caching scheme (PGBC...

show abstract

Section: 2caching Scheme Based On Content Popularitymentioning

confidence: 99%

Popularity and gain based caching scheme for information-centric networks

Fan¹,

Wu²,

Zhang³

et al. 2017

IJACR

View full text Add to dashboard Cite

show abstract

“…The methods Refs. [14] and [15] are the promising methods in the congestion aware approach. In these methods, each router caches the high congestion-cost content in order to alleviate congestion.…”

Section: Cache Management In Ccnmentioning

confidence: 99%

“…The method Ref. [14] considers the situation multiple content flows share one bottleneck link. The method Ref.…”

Section: Cache Management In Ccnmentioning

confidence: 99%

See 1 more Smart Citation

In-Network Caching for Simultaneous Download from Multiple Receivers in Content-Centric Networking

Kato

Sasano

Bandai

et al. 2017

Journal of Information Processing

View full text Add to dashboard Cite

This paper first investigates how a network operates when multiple receivers download content simultaneously in content-centric networking (CCN) when the receivers' downloading speeds differ. The results indicate that the performance of the download completion time of a faster user degrades excessively due to a decrease in the cache-hit rate in the router. Based on the investigation, this paper proposes a novel in-network caching method for simultaneous download from multiple receivers in CCNs. The proposed method keeps cached data packets in a router until slower receivers download the data, in order to prevent slower users from directly downloading data from the content provider. We conduct computer simulations and confirm the effectiveness of the proposed method. We show that the proposed method can improve the download completion time performance in the situation where multiple receivers download content at different speeds in CCN.

show abstract

“…[15], [8]) while others deal with caching mechanisms based on selective insertion and replacement in cache (e.g. [11], [1], [6], [10]). The first class of approaches is appropriate for small-scale controlled environments like a CDN (Content Delivery Network), where topology and content catalog are known a priori.…”

Section: Related Workmentioning

confidence: 99%