Proxcache: A new cache deployment strategy in information-centric network for mitigating path and content redundancy

One of the promising paradigms for resource sharing with maintaining the basic Internet semantics is the Information-Centric Networking (ICN). ICN distinction with the current Internet is its ability to refer contents by names with partly dissociating the host-to-host practice of Internet Protocol addresses. Moreover, content caching in ICN is the major action of achieving content networking to reduce the amount of server access. The current caching practice in ICN using the Leave Copy Everywhere (LCE) progenerate problems of over deposition of contents known as content redundancy, path redundancy, lesser cache-hit rates in heterogeneous networks and lower content diversity. This study proposes a new cache deployment strategy referred to as ProXcache to acquire node relationships using hyperedge concept of hypergraph for cache positioning. The study formulates the relationships through the path and distance approximation to mitigate content and path redundancy. The study adopted the Design Research Methodology approach to achieve the slated research objectives. ProXcache was investigated using simulation on the Abilene, GEANT and the DTelekom network topologies for LCE and ProbCache caching strategies with the Zipf distribution to differ content categorization. The results show the overall content and path redundancy are minimized with lesser caching operation of six depositions per request as compared to nine and nineteen for ProbCache and LCE respectively. ProXcache yields better content diversity ratio of 80% against 20% and 49% for LCE and ProbCache respectively as the cache sizes varied. ProXcache also improves the cache-hit ratio through proxy positions. These thus, have significant influence in the development of the ICN for better management of contents towards subscribing to the Future Internet

A review on green caching strategies for next generation communication networks

© 2020 IEEE. In recent years, the ever-increasing demand for networking resources and energy, fueled by the unprecedented upsurge in Internet traffic, has been a cause for concern for many service providers. Content caching, which serves user requests locally, is deemed to be an enabling technology in addressing the challenges offered by the phenomenal growth in Internet traffic. Conventionally, content caching is considered as a viable solution to alleviate the backhaul pressure. However, recently, many studies have reported energy cost reductions contributed by content caching in cache-equipped networks. The hypothesis is that caching shortens content delivery distance and eventually achieves significant reduction in transmission energy consumption. This has motivated us to conduct this study and in this article, a comprehensive survey of the state-of-the-art green caching techniques is provided. This review paper extensively discusses contributions of the existing studies on green caching. In addition, the study explores different cache-equipped network types, solution methods, and application scenarios. We categorically present that the optimal selection of the caching nodes, smart resource management, popular content selection, and renewable energy integration can substantially improve energy efficiency of the cache-equipped systems. In addition, based on the comprehensive analysis, we also highlight some potential research ideas relevant to green content caching

Named data networking for efficient IoT-based disaster management in a smart campus

Disasters are uncertain occasions that can impose a drastic impact on human life and building infrastructures. Information and Communication Technology (ICT) plays a vital role in coping with such situations by enabling and integrating multiple technological resources to develop Disaster Management Systems (DMSs). In this context, a majority of the existing DMSs use networking architectures based upon the Internet Protocol (IP) focusing on location-dependent communications. However, IP-based communications face the limitations of inefficient bandwidth utilization, high processing, data security, and excessive memory intake. To address these issues, Named Data Networking (NDN) has emerged as a promising communication paradigm, which is based on the Information-Centric Networking (ICN) architecture. An NDN is among the self-organizing communication networks that reduces the complexity of networking systems in addition to provide content security. Given this, many NDN-based DMSs have been proposed. The problem with the existing NDN-based DMS is that they use a PULL-based mechanism that ultimately results in higher delay and more energy consumption. In order to cater for time-critical scenarios, emergence-driven network engineering communication and computation models are required. In this paper, a novel DMS is proposed, i.e., Named Data Networking Disaster Management (NDN-DM), where a producer forwards a fire alert message to neighbouring consumers. This makes the nodes converge according to the disaster situation in a more efficient and secure way. Furthermore, we consider a fire scenario in a university campus and mobile nodes in the campus collaborate with each other to manage the fire situation. The proposed framework has been mathematically modeled and formally proved using timed automata-based transition systems and a real-time model checker, respectively. Additionally, the evaluation of the proposed NDM-DM has been performed using NS2. The results prove that the proposed scheme has reduced the end-to-end delay up from 2% to 10% and minimized up to 20% energy consumption, as energy improved from 3% to 20% compared with a state-of-the-art NDN-based DMS

Availability, Integrity, and Confidentiality for Content Centric Network internet architectures

The Internet as we know it today, despite being ``the result of a series of accidents of choices'' in Prof. Jon Crowcroft's words, has undoubtedly been an amazing success story. However, it has been constantly challenged by the demands of the overwhelming evolution of data traffic types, non-functional needs of applications and users, and device diversity. The phrase ``future internet architecture'' can be interpreted as referring to a revised set of design principles. As Dr David Clark rightfully suggested, we need to ``allow for the future in the face of the present''. Content Centric Networking (CCN) is one of the candidates for a future internet architecture. Security is one of the most significant considerations while designing a future internet architecture. Availability, Integrity, and Confidentiality (AIC) are considered the three most crucial components of security: 1) availability is the assurance of continuous, reliable, and uninterrupted access to the information by authorized people, 2) integrity is the preservation of information and prevention of any change in it caused via accident or malicious intent, and 3) confidentiality is the ability to keep the information secret from unintended audience, intruders, and adversaries. This thesis discusses AIC related security threats and corresponding remedies for Named Data Networking (NDN) which is a promising example of CCN. It also presents a system dynamics modelling approach to bridge the gap between the technical solutions and business strategy by quantifying some of the qualitative variables salient to technology architects, policymakers, lawmakers, regulators, and internet service providers for the design of a future-proof internet architecture

Content, Topology and Cooperation in In-network Caching

In-network caching aims at improving content delivery and alleviating pressures on network bandwidth by leveraging universally networked caches. This thesis studies the design of cooperative in-network caching strategy from three perspectives: content, topology and cooperation, specifically focuses on the mechanisms of content delivery and cooperation policy and their impacts on the performance of cache networks. The main contributions of this thesis are twofold. From measurement perspective, we show that the conventional metric hit rate is not sufficient in evaluating a caching strategy on non-trivial topologies, therefore we introduce footprint reduction and coupling factor, which contain richer information. We show cooperation policy is the key in balancing various tradeoffs in caching strategy design, and further investigate the performance impact from content per se via different chunking schemes. From design perspective, we first show different caching heuristics and smart routing schemes can significantly improve the caching performance and facilitate content delivery. We then incorporate well-defined fairness metric into design and derive the unique optimal caching solution on the Pareto boundary with bargaining game framework. In addition, our study on the functional relationship between cooperation overhead and neighborhood size indicates collaboration should be constrained in a small neighborhood due to its cost growing exponentially on general network topologies.Verkonsisäinen välimuistitallennus pyrkii parantamaan sisällöntoimitusta ja helpottamaan painetta verkon siirtonopeudessa hyödyntämällä universaaleja verkottuneita välimuisteja. Tämä väitöskirja tutkii yhteistoiminnallisen verkonsisäisen välimuistitallennuksen suunnittelua kolmesta näkökulmasta: sisällön, topologian ja yhteistyön kautta, erityisesti keskittyen sisällöntoimituksen mekanismeihin ja yhteistyökäytäntöihin sekä näiden vaikutuksiin välimuistiverkkojen performanssiin. Väitöskirjan suurimmat aikaansaannokset ovat kahdella saralla. Mittaamisen näkökulmasta näytämme, että perinteinen metrinen välimuistin osumatarkkuus ei ole riittävä ei-triviaalin välimuistitallennusstrategian arvioinnissa, joten esittelemme parempaa informaatiota sisältävät jalanjäljen pienentämisen sekä yhdistämistekijän. Näytämme, että yhteistyökäytäntö on avain erilaisten välimuistitallennusstrategian suunnitteluun liittyvien kompromissien tasapainotukseen ja tutkimme lisää sisällön erilaisten lohkomisjärjestelmien kautta aiheuttamaa vaikutusta performanssiin. Suunnittelun näkökulmasta näytämme ensin, kuinka erilaiset välimuistitallennuksen heuristiikat ja viisaan reitityksen järjestelmät parantavat merkittävästi välimuistitallennusperformanssia sekä helpottavat sisällön toimitusta. Sisällytämme sitten suunnitteluun hyvin määritellyn oikeudenmukaisuusmittarin ja johdamme uniikin optimaalin välimuistitallennusratkaisun Pareto-rintamalla neuvottelupelin kehyksissä. Lisäksi tutkimuksemme yhteistyökustannusten ja naapurustokoon funktionaalisesta suhteesta viittaa siihen, että yhteistyö on syytä rajoittaa pieneen naapurustoon sen kustannusten kasvaessa eksponentiaalisesti yleisessä verkkotopologiassa

Quality of experience-centric management of adaptive video streaming services : status and challenges

Video streaming applications currently dominate Internet traffic. Particularly, HTTP Adaptive Streaming ( HAS) has emerged as the dominant standard for streaming videos over the best-effort Internet, thanks to its capability of matching the video quality to the available network resources. In HAS, the video client is equipped with a heuristic that dynamically decides the most suitable quality to stream the content, based on information such as the perceived network bandwidth or the video player buffer status. The goal of this heuristic is to optimize the quality as perceived by the user, the so-called Quality of Experience (QoE). Despite the many advantages brought by the adaptive streaming principle, optimizing users' QoE is far from trivial. Current heuristics are still suboptimal when sudden bandwidth drops occur, especially in wireless environments, thus leading to freezes in the video playout, the main factor influencing users' QoE. This issue is aggravated in case of live events, where the player buffer has to be kept as small as possible in order to reduce the playout delay between the user and the live signal. In light of the above, in recent years, several works have been proposed with the aim of extending the classical purely client-based structure of adaptive video streaming, in order to fully optimize users' QoE. In this article, a survey is presented of research works on this topic together with a classification based on where the optimization takes place. This classification goes beyond client-based heuristics to investigate the usage of server-and network-assisted architectures and of new application and transport layer protocols. In addition, we outline the major challenges currently arising in the field of multimedia delivery, which are going to be of extreme relevance in future years