Caching Popular and Fresh IoT Contents at the Edge via Named Data Networking (original) (raw)

Beyond Edge Caching: Freshness and Popularity Aware IoT Data Caching via NDN at Internet-Scale

IEEE Transactions on Green Communications and Networking, 2021

In-network caching is one of the main pillars of the Named Data Networking (NDN) paradigm, where every Internet router, in the path between data sources and consumers, can cache incoming content packets. Multiple strategies have been designed for caching Internet of Things (IoT) data streamed by resource-constrained devices in edge domains and wireless sensor networks, while the benefits of IoT data caching at Internet-scale, including both edge and core network segments, have not been fully disclosed. In this work, we propose and analyse a novel probabilistic Internet-scale caching design for IoT data, which jointly accounts for the content popularity and lifetime. In the considered scenario, IoT contents are requested by remote consumers and delivered by crossing multiple edge and core network segments of the NDN-based future Internet. The proposal is composed of two distinct reactive caching strategies, a coordinated and an autonomous one, to be implemented in the edge and core domain, respectively. Achieved results show that the proposal outperforms state-of-the-art solutions by providing, among others, the highest cache hit ratio and the shortest number of hops. Such performances testify a lower pressure on energyconstrained devices and on the network infrastructure, overall contributing to the sustainability of the IoT ecosystem.

Caching in Named Data Networking for the Wireless Internet of Things

RioT, 2015

Named Data Networking (NDN) is a promising Information-Centric future Internet architecture. Besides its rec- ognized potentialities as a content retrieval solution in wired domains, NDN has been also recently considered as an enabling technology for the Internet of Things (IoT), thanks to its innova- tive features like named-based routing and in-network caching. In particular, the possibility of caching at intermediate nodes can be especially useful to reduce the retrieval delay, and limit the network traffic and the load on data producer. However, unlike traditional Internet contents, IoT data are typically transient and periodically refreshed by the producer. At the same time, unlike Internet routers, IoT devices can be resource-constrained, with limitations in terms of energy, storage and processing capabilities. Therefore, caching algorithms designed for (intransient) Internet traffic and Internet routers do not well suit IoT domains. In this paper, we consider a wireless NDN-IoT network and propose a novel distributed probabilistic caching strategy that relies on the freshness of data and on potentially constrained capabilities of devices (energy level and storage capacity). The proposed solution has been evaluated through simulations with ndnSIM and results show that it outperforms traditional NDN caching mechanisms in terms of data retrieval and network energy efficiency.

IEEE TNSM, 2021

With more than 75 billions of objects connected by 2025, Internet of Things (IoT) is the catalyst for the digital revolution, contributing to the generation of big amounts of (tran-sient) data, which calls into question the storage and processing performance of the conventional cloud. Moving storage resources at the edge can reduce the data retrieval latency and save core network resources, albeit the actual performance depends on the selected caching policy. Existing edge caching strategies mainly account for the content popularity as crucial decision metric and do not consider the transient feature of IoT data. In this paper, we design a caching orchestration mechanism, deployed as a network application on top of a software-defined networking Controller in charge of the edge infrastructure, which accounts for the nodes' storage capabilities, the network links' available bandwidth, and the IoT data lifetime and popularity. The policy decides which IoT contents have to be cached and in which node of a distributed edge deployment with limited storage resources, with the ultimate aim of minimizing the data retrieval latency. We formulate the optimal content placement through an Integer Linear Programming (ILP) problem and propose a heuristic algorithm to solve it. Results show that the proposal outperforms the considered benchmark solutions in terms of latency and cache hit probability, under all the considered simulation settings.

Maintaining Cache Consistency in Information Centric Networking for the Internet of Things

2016

Information-centric networking(ICN) opens new opportunities in the IoT domain due to its in-network caching capability. This significantly reduces read latency and the load on the origin server. In-network caching in ICN however introduces its own set of challenges because of its ubiquitous caches. Maintaining cache consistency without incurring high overhead is an important problem that needs to be handled in ICN to prevent a client from retrieving stale data. We propose a cache consistency approach based on the rate at which an IoT application generates its data. Our technique is lightweight and can be deployed easily in real network. Our simulation results demonstrate that our proposed algorithm significantly reduces the network traffic as well as the load on the origin server while serving fresh content to the clients.

Sensors

By enabling name-based routing and ubiquitous in-network caching, Named Data Networking (NDN) is a promising network architecture for sixth generation (6G) edge network infrastructures. However, the performance of content retrieval largely depends on the selected caching strategy, which is implemented in a distributed fashion by each NDN node. Previous research showed the effectiveness of caching decisions based on content popularity and network topology information. This paper presents a new distributed caching strategy for NDN edge networks based on a metric called popularity-aware closeness (PaC), which measures the proximity of the potential cacher to the majority of requesters of a certain content. After identifying the most popular contents, the strategy caches them in the available edge nodes that guarantee the higher PaC. Achieved simulation results show that the proposed strategy outperforms other benchmark schemes, in terms of reduced content retrieval delay and exchanged ...

A Periodic Caching Strategy Solution for the Smart City in Information-Centric Internet of Things

Sustainability, 2018

Named Data Networking is an evolving network model of the Information-centric networking (ICN) paradigm which provides Named-based data contents. In-network caching is the responsible for dissemination of these contents in a scalable and cost-efficient way. Due to the rapid expansion of Internet of Things (IoT) traffic, ICN is envisioned to be an appropriate architecture to maintain the IoT networks. In fact, ICN offers unique naming, multicast communications and, most beneficially, in-network caching that minimizes the response latency and server load. IoT environment involves a study of ICN caching policies in terms of content placement strategies. This paper addressed the caching strategies with the aim to recognize which caching strategy is the most suitable for IoT networks. Simulation results show the impact of different IoT ICN-based caching strategies, out of these; periodic caching is the most appropriate strategy for IoT environments in terms of stretch that results in dec...

Content Delivery Latency of Caching Strategies for Information-Centric IoT

ArXiv, 2019

In-network caching is a central aspect of Information-Centric Networking (ICN). It enables the rapid distribution of content across the network, alleviating strain on content producers and reducing content delivery latencies. ICN has emerged as a promising candidate for use in the Internet of Things (IoT). However, IoT devices operate under severe constraints, most notably limited memory. This means that nodes cannot indiscriminately cache all content; instead, there is a need for a caching strategy that decides what content to cache. Furthermore, many applications in the IoT space are timesensitive; therefore, finding a caching strategy that minimises the latency between content request and delivery is desirable. In this paper, we evaluate a number of ICN caching strategies in regards to latency and hop count reduction using IoT devices in a physical testbed. We find that the topology of the network, and thus the routing algorithm used to generate forwarding information, has a sign...

Caching on Named Data Network: a Survey and Future Research

International Journal of Electrical and Computer Engineering (IJECE), 2018

The IP-based system cause inefficient content delivery process. This inefficiency was attempted to be solved with the Content Distribution Network. A replica server is located in a particular location, usually on the edge router that is closest to the user. The user’s request will be served from that replica server. However, caching on Content Distribution Network is inflexible. This system is difficult to support mobility and conditions of dynamic content demand from consumers. We need to shift the paradigm to content-centric. In Named Data Network, data can be placed on the content store on routersthat are closest to the consumer. Caching on Named Data Network must be able to store content dynamically. It should be selectively select content that is eligible to be stored or deleted from the content storage based on certain considerations, e.g. the popularity of content in the local area. This survey paper explains the development of caching techniques on Named Data Network that ar...

Caching Popular and Fresh IoT Contents at the Edge via Named Data Networking (original) (raw)

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