PopCache: Cache more or less based on content popularity for information-centric networking

Suksomboon, Kalika; Tarnoi, Saran; Ji, Yusheng; Koibuchi, Michihiro; Fukuda, Kensuke; Abe, Shunji; Nakamura, Motonori; Aoki, Masanao; Urushidani, Shigeo; Yamada, Shigeki

doi:10.1109/lcn.2013.6761239

Cited by 71 publications

(45 citation statements)

References 17 publications

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“…We are considering tree topology for our proposed scheme like used by [23,26,37], in which the content provider (server) is attached with the root of tree and users are connected with the leaf nodes as shown in Fig. 2.…”

Section: System Architecture and Assumptionsmentioning

confidence: 99%

Management of scalable video streaming in information centric networking

Ullah

Thar

Hong

2016

Multimed Tools Appl

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Ability of caching the contents is one of the most important feature of an Information Centric Networking (ICN) node. By managing the cache space intelligently we can improve network's performance and increase users' Quality of Experience (QoE). Moreover, scalable video streaming in ICN is envisioned to be very beneficial as well as a challenging issue. In this paper, we are proposing a mechanism for cache management and request forwarding policies for scalable video streaming in ICN. Our proposed cache decision policy ensures to cache the base layer of a scalable video near to the users, which is mandatory layer for decoding any SVC encoded video and is needed by all the users with any data-rate budget, and consequently cache the higher layers in the upper nodes in the CCN/ICN within a specific RTT range. Furthermore, our intelligent cache decision cover fairness by considering router's cache capacity (inside the RTT range) and at the same time giving more priority to the nodes that are nearer to the users. A limited cooperative request forwarding mechanism, which is the part of our proposal, plays a role to improve users' QoE by providing the popular requested contents quickly. We have intensively simulated our proposed cache management and request forwarding scheme. The simulation results show that our proposed solution outperforms the current cache management schemes and improve the cache utilization. Also our proposed scheme decrease the traffic flowing inside the network by eliminating the request flooding and providing the requested contents from the nearby location to the users. The proposed scheme provides video faster to the users, specially the mandatory base layer is provided very quickly to the users.

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Section: System Architecture and Assumptionsmentioning

confidence: 99%

Management of scalable video streaming in information centric networking

Ullah

Thar

Hong

2016

Multimed Tools Appl

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“…[14] also handles the 'redundancy' problem, but the authors take the globe routers into consideration to generate the weight for caching. A recent related paper is [5], where the video that are popular are scheduled to be placed close to end users to reduce the expected round-trip time(RTT) and improve the server-hit rate comparing with state-of-theart schemes. But his work has the 'redundancy' problem as introduced in Section I, hence the system performance is affected.…”

Section: Related Workmentioning

confidence: 99%

“…The inherent problem is what should be cached in the router and how to replace the cached content when a new content will be cached in a full cache. The caching decision policy [5,6] decides whether the new arriving video content should be stored in a particular router, and the caching replacement (such as Least Recently Used (LRU)) policy decides what content will be moved out when new content is decided to be cached in the cachingsize-limited full router. The caching policy greatly affects the overall network performance, hence it is an important issue for CCN.…”

Section: Introductionmentioning

confidence: 99%

“…How to cache the video given the video's different popularity values has recently been studied [10,11]. A recent study [5] addressed the video popularity-aware video caching in CCN and provides better performance. But all these related works in literature do not handle the 'redundancy' problem well, where maybe the same content will be stored in multiple routers along the path from server to users, thus leading to the caching performance degradation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inter-Domain Popularity-aware Video Caching in Future Internet Architectures

Zhi¹,

Dong²,

Gu³

et al. 2015

Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustn

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Current TCP/IP based network is suffering from the usage of IP especially in the era of Internet of things (IoT). Recently Content Centric Network (CCN) is proposed as an alternative of the future network architecture. In CCN, data itself, which is authenticated and secured, is a name and can be directly requested at the network level instead of using IP and Domain Name System (DNS). Another difference between CCN and traditional networks is that the routers in CCN have the caching abilities. Then the end users can obtain the data from routers instead of from the remote server if the content has been stored in the router. Hence the overall network performance can be improved by reducing the required transmission hops and the advantage of the CCN caching has been shown in literature. In this paper, we design a new caching policy for the popularity-aware video caching in CCN to handle the 'redundancy' problem in the existing schemes, where the same content may be stored multiple times along the road from server to users, thus leading to a significant performance degradation. Simulations are conducted and we could observe that the proposed scheme performs better comparing with the existing caching policies.

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“…While the implicit caching policy works independently on each node. For example, Suksomboon et al proposed a probabilistic caching scheme [4] in which the probability of caching is calculated according to request frequency of contents received by each router. In contrast to described work, our proposed strategy addresses the issue of the management of cache under video delivery scenarios.…”

Section: Introductionmentioning

confidence: 99%

Dynamic adaptive streaming over popularity-driven caching in Information-Centric Networks

Oteafy

Hassanein

2015

2015 IEEE International Conference on Communications (ICC)

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The growing demand for video streaming is straining the current Internet, and mandating a novel approach to future Internet paradigms. The advent of Information-Centric Networks (ICN) promises a novel architecture for addressing this exponential growth in data-intensive services, of which video streaming is projected to dominate (in traffic size). In this paper, we present a novel strategy in ICNs for adaptive caching of variable video contents tailored to different sizes and bit rates. Our objective is to achieve optimal video caching to reduce access time for the maximal requested bit rate for every user. At its core, our approach capitalizes on a rigorous delay analysis and potentiates maximal serviceability for each user. We incorporate predictors for requested video objects based on a popularity index (Zipf distribution). In our proposed model, named DASCache, we present delay queuing analysis for cached objects, providing a cap on expected delay in accessing video content. In DASCache, we present a Binary Integer Programming (BIP) formulation for the cache assignment problem, which operates in rounds based on changes in content requests and popularity scores. DASCache reacts to changes in network dynamics that impact bit rate choices by heterogeneous users and enables users to stream videos, maximizing Quality of Experience (QoE). To evaluate the performance of DASCache, in contrast to current benchmarks in video caching, we present an elaborate performance evaluation carried out on ndnSIM, over NS-3.

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PopCache: Cache more or less based on content popularity for information-centric networking

Cited by 71 publications

References 17 publications

Management of scalable video streaming in information centric networking

Management of scalable video streaming in information centric networking

Inter-Domain Popularity-aware Video Caching in Future Internet Architectures

Dynamic adaptive streaming over popularity-driven caching in Information-Centric Networks

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