Information-centric mobile caching network frameworks and caching optimization: a survey

Jin, Hao; Xu, Dan; Zhao, Chenglin; Liang, Dong

doi:10.1186/s13638-017-0806-6

Cited by 50 publications

(37 citation statements)

References 107 publications

(224 reference statements)

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“…It uses Publish/Subscribe (Pub/Sub) ICN communication approach to support mobility, and network performance enhancement. This approach of communication decouples requesters from providers in location and time, which provides efficient control of data transfer, and can provide privacy for both publishers and subscribers in an easier and more flexible way (Jin, et al, 2017). Moreover, PPUSTMAN also enhances ICN Pub/Sub approach by implementing the Pub/Sub network components interactions through Model-View-Controller (MVC), which follow the MVC design pattern (Reenskaug, 1979).…”

Section: Ppustman: Privacy-aware Publish/subscribe Iot Mvc Architectumentioning

confidence: 99%

“…For instance, Partial Cache policy divides large information such as videos into large-grain of chunks and cached it with groups of neighbor caches. On the other hand, some caching policies do not require caches cooperation such as Prob(p) where caching a content is a decision made by each cache depending on its popularity (Jin, et al, 2017).…”

Section: Communication Analysismentioning

confidence: 99%

“…Different caching policies exist in literature to enhance network performance and QoS of systems. In (Jin, et al, 2017) the authors have surveyed caching policies such as caching everything everywhere (CEE), caching with probability (Prob(p)), breadcrumbs, hierarchical cooperative caching (HCC), and many others. Some of these policies depend on caches cooperation among each other to provide information.…”

Section: Communication Analysismentioning

confidence: 99%

See 2 more Smart Citations

PPUSTMAN: Privacy-Aware PUblish/Subscribe IoT MVC Architecture Using Information Centric Networking

Saadeh¹,

Almobaideen²,

Sabri³

2018

MAS

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IoT applications have been evolved in relation to every aspect of human life. The design of the applications adds new challenges such as mobility, scalability, and privacy to the current networking architecture design. For that reason, it is mandatory to investigate new solutions and paradigms such as Information Centric Network (ICN). ICN handles many of the challenges barely handled by current IP networks such as mobility and scalability, by using in-network caching and content retrieving based on contents names instead of host addresses. This paper presents a privacy-aware ICN architecture for IoT environments based on the Model-View-Controller (MVC) publish/Subscribe communication approach. This architecture focuses on supporting mobility, scalability, and privacy. A communication and processing cost comparison between Publish/Subscribe N-Tier and Publish/Subscribe MVC architectures, shows that the later outperforms N-Tier in communication, processing cost, and parallelism capabilities. Reasoning and planning for publishing actuation commands scenarios is performed using Situation Calculus which is used to formalize the communications in causality and temporal framework.

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Section: Ppustman: Privacy-aware Publish/subscribe Iot Mvc Architectumentioning

confidence: 99%

Section: Communication Analysismentioning

confidence: 99%

Section: Communication Analysismentioning

confidence: 99%

See 1 more Smart Citation

PPUSTMAN: Privacy-Aware PUblish/Subscribe IoT MVC Architecture Using Information Centric Networking

Saadeh¹,

Almobaideen²,

Sabri³

2018

MAS

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show abstract

“…In content-oriented cache-enabled networks, content request model is usually modeled by Zipf law [23]. Assume that all the contents are the same size and each UE has the same interest, according to Zipf law, the probability that the content ranked f is requested by a UE is given by…”

Section: Content Request Modelmentioning

confidence: 99%

“…In the respect of network virtualization architecture based on caching, the proposed architectures include service based [12,13,[15][16][17], application based [13,[18][19][20], MVNO (mobile virtual network operator) based [13,16,20,21], access network [13,15] and/or core network based [22], and different physical layer resource based [8]. In the respect of optimization of virtual wireless network resources based on content-oriented caching, since slicing on a wireless network involves how to assign resources to different slices, which can be transformed into the optimization problem for various optimization objectives, the resources of network slicing can be the available radio spectrum (divided also by time, frequency, or space), wireless network infrastructures, the available transmission time, or the capacity of the medium [8], while content-oriented optimization objects diverse in network-centric objectives and user-centric objectives, and the optimization also depends on the network architecture [23], the state-ofthe-art research issues on optimization of virtual wireless network resources based on content caching are investigated, and several research issues concentrate on network slicing optimization integrating network function virtualization and in-network caching.…”

Section: Introductionmentioning

confidence: 99%

Content-oriented network slicing optimization based on cache-enabled hybrid radio access network

Jin

Zhao

2018

J Wireless Com Network

Self Cite

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With the development of smart mobile devices and various mobile applications, content-oriented service has become the most popular service which occupies network resources and results in high traffic load. In order to improve quality of experience in radio access network and reduce the OpEx and CapEx of operators, wireless network virtualization and network slicing come into the vision and are deemed as promising solutions to radio access networks to provide tailored services. Therefore, network slicing and optimization based on content-oriented service become a challenging research direction. In this paper, network slicing and resource optimization on content-oriented application in cache-enabled hybrid radio access network based on complex network are investigated. A Cooperative Network Slicing Framework Based on Content in RAN (CNSC-RAN) is presented. Based on CNSC-RAN, procedures of content-oriented static network slicing and dynamic slicing are proposed. Content-oriented slicing is modeled and analyzed which includes slicing on content cache resources and communication resources. In order to obtain the optimized resources sliced for each content, the optimization problem is formulated to minimize the average system cost to get the contents required by users. The problem is solved by a heuristic algorithm called CCSOA (Content-Centric Slicing Optimization Algorithm) in a dynamic content-oriented network slicing procedure enabling UEs with self-evicting contents. The performance of CCSOA is evaluated by performance metrics including hit rate, average cache occupation, average system cost, and request traffic reduction to macro cell base station comparing with CEE and ProbCache. Simulation results reveal the effectiveness of CCSOA.

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Reinforcement learning inspired forwarding strategy for information centric networks using Q‐learning algorithm

Delvadia,

Dutta

2024

Int J Communication

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SummaryContent interest forwarding is a prominent research area in Information Centric Network (ICN). An efficient forwarding strategy can significantly improve data retrieval latency, origin server load, network congestion, and overhead. The state‐of‐the‐art work is either driven by flooding approach trying to minimize the adverse effect of Interest flooding or path‐driven approach trying to minimize the additional cost of maintaining routing information. These approaches are less efficient due to storm issues and excessive overhead. Proposed protocol aims to forward interest to the nearest cache without worrying about FIB construction and with significant improvement in latency and overhead. This paper presents the feasibility of integrating reinforcement learning based Q‐learning strategy for forwarding in ICN. By revising Q‐learning to address the inherent challenges, we introduce Q‐learning based interest packets and data packets forwarding mechanisms, namely, IPQ‐learning and DPQ‐learning. It aims to gain self‐learning through historical events and selects best next node to forward interest. Each node in the network acts as an agent with aim of forwarding packet to best next hop according to the Q value such that content can be fetched within fastest possible route and every action returns to be a learning process, which improves the accuracy of the Q value. The performance investigation of protocol in ndnSIM‐2.0 shows the improvement in a range of 10%–35% for metrics such as data retrieval delay, server hit rate, network overhead, network throughput, and network load. Outcomes are compared by integrating proposed protocol with state‐of‐the‐art caching protocols and also against recent forwarding mechanisms.

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Information-centric mobile caching network frameworks and caching optimization: a survey

Cited by 50 publications

References 107 publications

PPUSTMAN: Privacy-Aware PUblish/Subscribe IoT MVC Architecture Using Information Centric Networking

PPUSTMAN: Privacy-Aware PUblish/Subscribe IoT MVC Architecture Using Information Centric Networking

Content-oriented network slicing optimization based on cache-enabled hybrid radio access network

Reinforcement learning inspired forwarding strategy for information centric networks using Q‐learning algorithm

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