Content Services Research Articles

A Decentralized PageRank Based Content Dissemination Model at the Edge of Network

In the era of Internet of Things, cloud services are difficult to meet the real-time transmission requirements of users for the data generated in the edge of network especially for the Internet video services. Utilizing the devices at the edge of network, such as an intelligent router, to achieve nearby content services for users can effectively reduce backbone traffic and enhance service performance. This article proposes a decentralized PageRank-based content dissemination model at the edge of network, in which a suitable node selection algorithm is designed to distribute the content evenly in the network. Each node can quickly obtain data from neighbor nodes, thereby reducing the cloud load as well as the network bandwidth and improving the service response performance. The simulation shows that, compared with the other two dissemination algorithms, the content is distributed more even, which means every node has more opportunity to obtain the data from neighbors; and the service rejection rate can be decreased by an average of 5.2% in the case of high concurrent requests.

Network-aware Recommendations in the Wild: Methodology, Realistic Evaluations, Experiments

Joint caching and recommendation has been recently proposed as a new paradigm for increasing the efficiency of mobile edge caching. Early findings demonstrate significant gains for the network performance. However, previous works evaluated the proposed schemes exclusively on simulation environments. Hence, it still remains uncertain whether the claimed benefits would change in real settings. In this paper, we propose a methodology that enables to evaluate joint network and recommendation schemes in real content services by only using publicly available information. We apply our methodology to the YouTube service, and conduct extensive measurements to investigate the potential performance gains. Our results show that significant gains can be achieved in practice; e.g., 8 to 10 times increase in the cache hit ratio from cache-aware recommendations. Finally, we build an experimental testbed and conduct experiments with real users; we make available our code and datasets to facilitate further research. To our best knowledge, this is the first realistic evaluation (over a real service, with real measurements and user experiments) of the joint caching and recommendations paradigm. Our findings provide experimental evidence for the feasibility and benefits of this paradigm, validate assumptions of previous works, and provide insights that can drive future research.

Legal Regulation of the Protection of Intellectual Property Rights within the EU Digital Market

The active usage of the technologies, constant exchange of information and its use demanded a clear regulation of relations within the functioning of the digital market. In the context of the implementation of the Association Agreements between Ukraine and the EU, it seems necessary to study the positive experience of regulating relations and protecting intellectual property rights within the European Union digital market. The article explores such EU secondary law acts as directives and regulations that determine the foundations and features of the functioning of EU digital market actors. In particular, it examined Directive (EU) 2019/789 of the European Parliament and of the Council of 17 April 2019 laying down rules on the use of copyright and related rights applicable to certain online broadcasting and retransmission of broadcasting programs and amending Council Directive 93/83 EEC (2019), which regulates the principles governing the transboundary transmission of television and radio broadcasting via the satellite network; Directive (EU) 2019/790 of the European Parliament and of the Council of 17 April 2019 on copyright and related rights in the Digital Single Market and amending Directives 96/9/EC and 2001/29/2019, which amended and expended 7 existing Directives governing relevant issues, Regulation (EU) 2019/517 of the European Parliament and of the Council of 19 March 2019 on the implementation and operation of the .eu top-level domain name and amending and repealing Regulation (EU) No 733/2002, and repealing Commission Regulation (EC) No 874/2002 (2019), which provides a number of important innovations for the .eu top-level domain name and Regulation (EU) No 2017/1128 of the European Parliament and of the Council of 14 June 2017 on the cross-border movement of Internet content services in the internal market, which identifies legitimate access to portable internet-Content. Not only when they are in their own country, but also when moving within the EU. Key words: digital market; legal regulation of EU digital market functioning; .eu top-level domain name; portable internet content; cross-border transmission.

Directive on Certain Contractual Aspects of Provision of Digital Content and Digital Services - Scope and basic approaches -

Directive on Certain Contractual Aspects of Provision of Digital Content and Digital Services - Scope and basic approaches -

관광, 관광객의 진정성, 그리고 사회연결망 분석 관련 연구

This study shows how various tourism information contents services should grow in the recent SNS smart environment. The method of establishing a role as a tool or means for acquiring tourist information contents is social network analysis. The purpose of this study is to analyze whether the tourism information contents provided by SNT are authentic and whether tourists perform authentic tourism based on these tourism information contents.BR Through this, we tried to find out what the authenticity of tourism that tourists are seeking through social network analysis. SNT is growing rapidly in the global tourism market. The domestic tourism industry needs to actively respond to SNT. In conclusion, the domestic tourism industry should escape SNS such as Facebook, Twitter, and YouTube.BR Therefore, research should be conducted to provide opportunities to experience tourism through more diverse channels. It is also important to build a reliable social network regardless of language or nationality on very large platforms such as Facebook, Twitter, and YouTube. Therefore, it is time for domestic SNS companies to make various efforts to strengthen the SNS platform and build new platform channels.

Empirical Study on the Factors Affecting Individuals’ Switching Intention to Augmented/Virtual Reality Content Services Based on Push-Pull-Mooring Theory

New technologies are driving rapid change and innovation in the industrial structure. In this environment, individuals’ use of contents also changes remarkably. This study aims to empirically prove why individuals switch from traditional to augmented/virtual reality (AR/VR) content services. We propose a research model and hypotheses based on data collected from existing research and AR/VR users. To explain individuals’ switch, we include three constructs for the push effects (low usefulness, functional simplicity, and perceived inefficiency) and three constructs for the pull effects (interactivity, experienceability, and amplified enjoyment) in our proposed model based on the most valid push-pull-mooring. Furthermore, we propose personal innovativeness as a mooring effect on the relationships between push/pull effects and switching intention to AR/VR content services. The data (n = 465) from actual AR/VR users were collected and analyzed using structural equation modeling with AMOS 22.0. Results empirically prove that all push/pull constructs, with the exception of perceived inefficiency, have a significant impact on switching intention. Moreover, a mooring effect—personal innovativeness—strengthens all paths in the research model, except that between perceived inefficiency and switching intention. The findings of this study would provide theoretical and practical implications for understanding individuals’ perceptions regarding AR/VR content services.

The bolts and nuts of online content regulation in Tanzania

ABSTRACTLegal and non-legal commenters across the world have criticised the promulgation of the Tanzanian Electronic and Postal Communications (Online Content) Regulations of 2018. The Regulations regulate inter alia online content, online content service providers, online content hosts, and users by imposing certain obligations, including the moderation of content. One of the criticisms raised by various commentators is that the law restricts access to information and freedom of expression. This article examines the purpose and content of the Electronic and Postal Communications (Online Content) Regulations,to determine whether they conform to the law-making standards: legality, legitimacy, legal certainty; and the international standards of fundamental rights. In the end, this article recommends areas that may need revision.

Integrating NFV and ICN for Advanced Driver-Assistance Systems

Advanced driver-assistance systems (ADASs) have been proposed as an alternative to driverless vehicles to provide support for automotive vehicle decisions. As a significant driving force for ADASs, the augmented reality (AR) provides comprehensive location-based content services for in-vehicle consumers. With the increase in request for information sharing, the current standalone mode of ADASs needs a shift to the multiuser sharing mode. In this article, to address the high mobility and real time requirements of ADASs in 5G environments, and also to address the resource orchestration and service management of big data in intelligent transportation systems, we integrate the information-centric network (ICN) and the network function virtualization (NFV) with ADASs to support an efficient AR-assisted content sharing and distribution. This integration eliminates the imbalance between the content requests and the resource limitation by splitting the virtual resources and providing an on-demand network and resource slicing in ADASs. We propose an incentive trading model for assistance content caching services and also propose a novel mechanism for optimal content cache allocation. Our extensive evaluation confirms that our proposed mechanism outperforms the past literature in terms of the cache hit ratio and latency.

Understanding interactive user behavior in smart media content service: An integration of TAM and smart service belief factors

Smart media combines media and artificial intelligence (AI) and can also be a user-centered content service market. However, existing research lacks an understanding of user's perceptions concerning smart services generated by different user experience types across different payment groups. Taking AI-powered Smart TV (AI TV) as a typical research object, this study (1) develops a theoretical model by integrating the technology acceptance model with users' smart service belief factors and (2) employs the user experience type as an original moderator. Using data from 585 AI TV users, the structural equation modeling analysis suggests that perceived two-way communication, perceived personalization, and perceived co-creation as three belief factors, are important antecedent constructs in the extended technology acceptance model. The analysis also suggests that the user experience type exerts positive moderating effects on two-way communication and personalization to attitude toward behavior and purchase intention. This study thus contributes to the literature on smart service by identifying and studying smart service belief factors. The addition of smart service belief factors as antecedents, as well as user experience type as a moderator, are crucial to expand the generalizability of TAM to the smart media service context. From a customer experience management perspective, this study shows how to convert ad-supported users into new paid subscribers, while keeping existing subscribers by fulfilling their smart service requirements.

A Stackelberg game-based approach for interactions among Internet service providers and content providers

This paper studies non-neutral market share where Internet service providers (ISPs) charge content providers (CPs) for the content delivery. Each provider seeks to maximize its own profit by determining its price and their service qualities (quality of service and credibility of content). First, we utilize a Stackelberg game to study the interactions between ISPs and CPs. We formulate the interactions among multiple ISPs (multiple CPs) as a non-cooperative game. In turn, the subscribers’ demand for the service of a provider depends not only on their strategies, but also upon those proposed by all of its competitors. Then we provide some interesting results regarding the Nash equilibrium of this game. More precisely, we show existence and uniqueness of the Nash equilibrium under some conditions. An iterative and distributed algorithm based on best response dynamics is proposed to achieve the equilibrium point; additionally, in order to quantify how efficient the Nash equilibrium point is, a detailed analysis of the Price of Anarchy is adopted to evaluate the performance of the system at equilibrium. Finally, extensive simulations show convergence of a proposed schema to the Nash equilibrium and show the effect of side payment on providers’ policies and the effect of bandwidth cost on ISPs’ policies.

ECDU: an edge content delivery and update framework in Mobile edge computing

Content delivery network (CDN) has gained increasing popularity in recent years for facilitating content delivery. Most existing CDN-based works upload the content generated by mobile users to the cloud data center firstly. Then, the cloud data center delivers the content to the proxy server. Finally, the mobile users request the required content from the proxy server. However, uploading all the collected content to the cloud data center increases the pressure on the core network. In addition, it also wastes a lot of bandwidth resources because most of the content does not have to be uploaded. To make up for the shortcomings of existing CDN-based works, this article proposes an edge content delivery and update (ECDU) framework based on mobile edge computing architecture. In the ECDU framework, we deploy a number of content servers to store raw content collected from mobile users, and cache pools to store content that frequently requested at the edge of the network. Thus, it is not necessary to upload all content collected by mobile users to the cloud data center, thereby alleviating the pressure of the core network. Based on content popularity and cache pool ranking, we also propose edge content delivery (ECD) and edge content update (ECU) schemes. The ECD scheme is to deliver content from cloud data center to cache pool, and the ECU scheme is to mitigate the content to appropriate cache pools in terms of its request frequency and cache pool ranking. Finally, a representative case study is provided and several open research issues are discussed.

콘텐츠 서비스에서 고객참여가 고객관계 품질에 미치는 영향: 자율성에 의한 수익성의 조절된 매개효과

이 연구는 YouTube 콘텐츠 서비스 산업의 고객투자 수익성을 통한 고객참여의 고객관계 품질에 대하여 일 자율성에 의한 조절된 매개 효과를 검토했다. 표본 크기는 자체 보고서 설문지를 작성한 173명의 서비스 제공자인 유튜버이다. 결과는 다음과 같다. 첫째, 고객투자 수익성은 고객참여가 고객관계 품질에 미치는 영향을 매개했다. 둘째, 일 자율성은 고객관계 품질에 대한 고객투자 수익성의 조절 효과 영향을 미치지 않았다. 셋째, 고객투자 수익성을 통한 고객참여의 고객관계 품질에 대하여 일 자율성에 의한 조절된 매개효과가 검증되었다. Johnson-Neyman 방법을 사용한 유의성 테스트 결과, 고객투자 수익성 조정은 일 자율성이 정(+)적인 경우 통계적으로 유의하지만, 일 자율성이 부(-)적인 경우 통계적으로 유의하지 않았다. 또한 실무적 시사점으로 고객관계 품질 향상을 통한 창의적 자율성을 제안함과 동시에 서비스 제공자의 고객관계 품질역량을 높이고 효율적 운영을 위하여 기존(legacy) 시스템을 벗어난 다중채널 네트워크(MCN)와 같은 새로운 산업의 성장 방향에 시사점을 제공할 수 있다.

Intelligent Cache Pollution Attacks Detection for Edge Computing Enabled Mobile Social Networks

With the rapid advances of wireless technologies and popularization of smart mobile devices, edge-enabled mobile social networks (MSNs) have emerged as a promising network paradigm for mobile users to deliver, share, and exchange contents with each other. By leveraging edge caching technology, various content services can be provided to mobile users for improving their quality of experience (QoE). However, edge caching is vulnerable to cache pollution attacks (CPAttacks) with the result of disruptive content delivery. To tackle this problem, we propose a hidden Markov model (HMM) based CPAttack detection scheme in edge-enabled MSNs. Specifically, we first present the CPAttack model based on observations of attacking behaviors. According to the CPAttack model, the caching state of the edge device is characterized by two parameters-content request rate and cache missing rate. Then, with observation sequence constructed by caching states, we develop an HMM-based detection algorithm to distinguish the CPAttack in the approximately time-invariant content request process. To deal with the lack of training data and dynamic of caching states, an adaptive HMM (AHMM) based algorithm is designed to detect the CPAttack in the time-varying content request process. The simulation results demonstrate that the proposed scheme can efficiently improve edge devices’ abilities to sense the CPAttack.

The impact of customer engagement on service coordination costs in content service:

In order to secure the continuous competitiveness of OTT content services such as YouTube and Netflix, content service SCM promoting the production and distribution of digital information materials is becoming increasingly important. However, previous studies on this are scarce. This study examines the causal relationship between customer engagement, customer response profitability, and service coordination costs from the perspective of a YouTuber, a content creation service provider. In particular, it examines the impact of customer response profitability, a quantitative indicator of customer response, on the use of social media that customers feel and on the relationship between customer engagement and service coordination costs. In this study, we surveyed a YouTuber in Korea, a service provider. SPSS 18, AMOS 20, and PROCESS Macro were used for statistical analysis and hypothesis testing. The analysis shows that the degree of customer engagement on the YouTube channel has a positive effect on customer response profitability and service coordination costs, and that customer response profitability negatively affects service coordination costs (the reduction of costs). The relationship between the customer response profitability and the degree of customer engagement could not be confirmed, but the relationship between customer engagement and the service coordination costs was confirmed. With this study, we contribute to the establishment of policies on the value co-creation framework from the service provider's perspective in content service SCM and on whether to invest in social media in content sourcing.

A constitutional moment: How we might reimagine platform governance

We are at a constitutional moment for the future of the internet. Nation states around the world are launching major new initiatives to regulate the internet, both directly against users and by regulating the companies that provide access to telecommunications infrastructure and content services. The giant technology companies that control the bulk of the commercial internet are themselves under unprecedented scrutiny for the policies they set, the decisions they make, and the choices that go into designing their architecture. In my new book, Lawless, I argue that in this moment of change there is a major opportunity for us all to rethink how the internet should be governed, how power is held to account, and whose values prevail.11Nicolas P Suzor, Lawless: The Secret Rules That Govern Our Digital Lives (Cambridge University Press 2019).

The new Directive on Contracts for Supply of Digital Content and Digital Services – Conformity Criteria, Remedies and Modifications – Part 2

Summary This article analyses the core issues of the new digital content directive: the conformity criteria, liability of the trader and the remedies of the consumer for lack of conformity. The authors assess the directive as a welcome step in raising consumer protection on the Digital Single Market, especially as the initial primacy of subjective conformity criteria has been given up and mandatory objective criteria of the digital content/services have been introduced. This gives European consumers a mandatory protection regime shielding them from the widely used liability restriction clauses. The provisions on remedies have been improved and fine-tuned, starting from the flexible hierarchy of the remedies and ending with deletion of the much-criticized maximum harmonising damages provision. The new directive puts liability for the digital content to the retail sector: it is the traders, the contractual partners of the consumer who are liable for the supply and defects of the digital content even if the digital content is provided by third parties (usually the copyright holders). Whereas the directive is maximum harmonising in principle, several important questions such as the liability periods, obligations of the consumer as well as the remedies of the trader are still left to national law. Finally, as the directive is not based on standard contract typology, the transposition could turn out to be challenging for Member States with civil codes where rules on contractual remedies depend upon contract type.

Stationary distribution of an infinite-buffer batch-arrival and batch-service queue with random serving capacity and batch-size-dependent service

In traditional batch-service queueing systems, the mean service time of batches are generally assumed to be constant. However, in numerous applications this assumption may not be appropriate. In telecommunication networks, the transmission rates depend on the number of packets in the batch which can be framed as batch-size-dependent service queue. The objective of this paper is to focus on both queue and server content distribution in an infinite-buffer batch-arrival and batch-service queue with random serving capacity rule and batch-size-dependent service. After deriving a bivariate probability generating function of queue length and server content distribution at departure epoch of a batch, we extract the complete joint distribution in terms of roots of the characteristic equation. We also obtain the system as well as queue length distribution at arbitrary epoch. Finally, a significant number of numerical examples are appended to show the feasibility of the analytic procedure and results where the occurrence of multiple roots have been dealt without facing any difficulty. At the end, a graphical representation of cost of the system shows that batch-size-dependent service is more significant as compared to batch-size-independent service.

On finite-buffer batch-size-dependent bulk service queue with queue-length dependent vacation

ABSTRACT This paper considers a single server finite-buffer batch-size-dependent bulk service queue with queue-length dependent vacation. Customers arrive at the system according to the Poisson process and are served in batches of maximum size ‘b’ with a minimum threshold value ‘a’ following the ‘general bulk service’ rule. The service time distribution is assumed to be of general type which modulates depending on serving batch size. The server is allowed to take vacation, either single or multiple vacations, whenever permissible numbers of customers are not found in the queue at the beginning of the service. The vacation time distribution is assumed to be of general type and dynamically changes depending on the queue content at vacation initiation epoch. We use the supplementary variable and the embedded Markov chain techniques to obtain the steady-state joint distribution of the queue content service batch size, queue content and type of vacation taken by the server at various epochs. Several numerical results are presented at the end to bring out the qualitative aspect of the model, which reveals the fact that queue-length dependent vacation further reduces congestion in the batch-size-dependent bulk service queues.

ICN Publisher-Subscriber Models: Challenges and Group-based Communication

ICN architectures use pull-based communication with single interest response pairs. Content retrieval using this model is very efficient when the content already exists in the network. Subscription services for content that is being dynamically generated or will be generated in the future, do not work well with pull based systems. In this work we investigate ICN as a publisher-subscriber communication enabler, and present its challenges and limitations. Based on the observations, we propose a group-based subscription architecture, which enables not only a seamless publisher-subscriber model, but also authentication, access control, and group management features, without modifying ICN principles. Compared to traditional pull-based subscription, we are able to achieve lower control overhead with added security and privacy features. The performance analysis also shows that with semi-persistent interest, the memory requirements of the core nodes can be kept at minimal levels. We also identify interesting research challenges which can enable a rich ICN ecosystem for different types of services.

Research and Design of Knowledge System Construction System Based on Natural Language Processing

The digital processing of content resources has subverted the traditional paper content processing model and has also spread widely. The digital resources processed by text structure need to be structured and processed by professional knowledge, which can be saved as a professional digital content resource of knowledge base and provide basic metadata for intelligent knowledge service platform. The professional domain-based knowledge system construction system platform explored in this study is designed based on natural language processing. Natural language processing is an important branch of artificial intelligence, which is the application of artificial intelligence technology in linguistics. The system first extracts the professional thesaurus and domain ontology in the digital resources and then uses the new word discovery algorithm based on the label weight designed by artificial intelligence technology to intelligently extract and clean the new words of the basic thesaurus. At the same time, the relationship system between knowledge points and elements is established to realize the association extraction of targeted knowledge points, and finally the output content is enriched from knowledge points into related knowledge systems. In order to improve the scalability and universality of the system, the extended architecture of the thesaurus, algorithms, computational capabilities, tags, and exception thesaurus was taken into account when designing. At the same time, the implementation of “artificial intelligence [Formula: see text] manual assistance” was adopted. On the basis of improving the system availability, the experimental basis of the optimization algorithm is provided. The results of this research will bring an artificial intelligence innovation after the digitization to the publishing industry and will transform the content service into an intelligent service based on the knowledge system.