Content Download Research Articles

The grey and dark facets of online activities: a study of consumer perceptions

PurposeThe internet has provided a gamut of benefits to consumers. The digital world, however, also provides space for various illegal or unethical consumer activities. Consumers may not always be fully aware of the unethical or illegal nature of some of the online activities that they engage in. This study aims to examine the questionable side of online consumer behaviour in an emerging market where internet penetration and smart phone accessibility is rapidly expanding. Using a third-person technique, this study attempts to empirically capture the perceptions of Indian adults regarding the prevalence of various questionable online activities such as unauthorized downloading of digital content, spreading fake news/misinformation and fraudulent returns and to understand the extent to which these respondents believe that such actions are acceptable or illegal and unethical.Design/methodology/approachAn online questionnaire was used to collect primary data from 212 consumers. Non-probability convenience and snowball sampling was used for the purpose.FindingsUnauthorized watching or downloading of online content is reported to be the most prevalent among the various types of questionable behaviours examined. However, it is behaviours such as fraudulent returns and spreading misinformation through online channels which are considered to be the most unethical or illegal. Certain behaviours which may be deemed to be unethical and illegal nevertheless are seen as acceptable. Significant differences between demographics in the case of several of the unethical activities are reported.Research limitations/implicationsThis study examines the grey and dark side of online behaviours among consumers in an emerging market and points to the need for action on several fronts to increase consumer awareness and sensitivity about the unethical or illegal nature of some of their online activities and the implications for multiple stakeholders. Based on the findings of this study, recommendations directed at consumers, marketers and policymakers are discussed.Originality/valueAlthough the benefits of online communication channels have been extensively studied, their ability to facilitate certain unethical and even illegal activities is an under-researched area. The inclination to engage in these types of questionable behaviours may have been exacerbated by the restrictions imposed by the COVID-19 pandemic. This study highlights the importance of research on various grey consumer activities in the digital space and paves the way for further investigations by identifying online actions which are considered as most prevalent and/or unethical and illegal.

Faculty Awareness and Use of an Institutional Repository at a Master’s Granting University

Introduction: Assessment plays a significant role in managing a successful institutional repository (IR). This study combined the results of a faculty survey that measured faculty awareness of and participation in the IR of a single, state masters-granting institution with information regarding content type and downloads to draw conclusions regarding the composition and usage of the IR at this institution. Method: A survey was sent to 856 faculty members at Fort Hays State University (FHSU) that asked questions regarding awareness of the IR and participation in the IR demonstrated through deposit and access of materials. Statistics regarding content type and full-text downloads were collected from the repository platform. Collected data were compared with previous studies at other similar institutions to determine similitude or difference between this IR and other IRs at masters and baccalaureate institutions. Results & Discussion: Faculty awareness of and participation in the IR at FHSU is higher than that of other institutions, as shown in previous surveys, even though overall faculty participation remains low. The content of the IR is largely consistent with other similar institutions. Conclusion: The faculty survey combined with information regarding repository usage demonstrates that the FHSU Scholars Repository serves a different purpose for both faculty and users than designers envisioned. Efforts to force the IR to resemble that of a research institution may be misplaced. Further research on the content makeup of IRs at masters and baccalaureate institutions is needed to establish commonalities among smaller institutions.

Exploring the role of edge computing on the legal effect of secure collaborative download protocol

To make people's car driving experience safer and more comfortable, the architecture of intrusion recognition model based on the K-nearest neighbour classification Deep Neural Networks (K-DNN) is proposed to classify and identify various network intrusion factors, thereby strengthening the security level of Internet of Vehicles (IoV) and alleviating the hardware resource scarcity for IoV. Then, a secure collaborative download system based on edge computing is proposed, which can accurately and timely collect the information of roads, vehicles and nearby infrastructure in the driving process and facilitate people to safely and quickly download the required content. In the proposed system, the vehicle encrypts the content download request and sends it to the Roadside Unit (RSU) and the content server, respectively. The content server sends the content corresponding to the download request to the vehicle through the RSU.

Dynamic Communities: Plotting a New Course

Dynamic Communities was a company that forms and administers Software User Groups. Each group had a thriving membership which shared knowledge and information among each constituent in the community. Active participation by employees of member companies led to stronger competency in the software and eventually higher return on software investment for their employer. Programs and features of membership in a User Group ranged from online aspects (such as interactive discussion forums and downloadable content libraries) to in-person events (including training, certifications, and large-scale conferences). Companies joined in membership, paying an annual membership fee, to allow its employees access to the programs and features of the community. Through the first twelve years of existence, Dynamic Communities counted on double-digit growth in revenue from membership fees. However, it flattened. As technology evolved and social media became more pervasive, it had become easier and easier for individuals to replicate many of the learning features that made membership in a Dynamic Communities User Group exclusive. Persons found highly specialized information just by working the search engines. No longer was Dynamic Communities able to simply put online content behind a firewall and expect members to pay to access it. Revenue from membership fees made up about 19% of the company’s annual revenue but was eroding. Dynamic Communities executive team was faced with a dilemma of trying to revise its membership model in an environment of significant change while still maintaining its revenue sources. This case challenges the reader to assess price and product mix strategies.

Decoding TikTok: Utilizing Social Media for Difficult Conversations About Ageism

Understanding ageism is a key aspect of gerontological curriculum. Media examples (e.g., television and movies) can be effective tools, and yet gerontological educators should stay updated on new media trends to encourage student interest. This presentation will explore a new social media application (i.e., TikTok) to help students recognize and dismantle their own ageist beliefs. The presenter will describe and explain the classroom activity, instructions for finding and downloading content, as well as the social media application itself. In this activity, students brainstorm their preconceived notion of older adults to catalyze open discussion regarding societal beliefs. Next, a few video examples, with both positive and negative portrayals of older adults are presented for discussion. Students may also bring other examples for participation credit to this class. This symposium presentation will include an interview activity guide, additional breakout group instructions, and other tips for creating impactful class discussion on ageism.

Collaborative Data Caching and Computation Offloading for Multi-Service Mobile Edge Computing

Mobile edge computing (MEC) can use wireless access network (RAN) to provide the services required by user's information technology (IT) and cloud computing functions nearby, which can create a high-performance and low latency service environment. Performing task offloading and data caching at access points (APs) in a cooperative manner can reduce the heavy backhaul load and the retransmission of content downloading. However, in edge networks (ENs), how to maximize storage utilization while reducing service latency and energy consumption is still a key issue, because the heterogeneity of ENs and the uneven distribution of users make it difficult to determine which MEC server and what data should be cached. In this paper, we study a two-tier MEC system, which enables data caching and computing offloading policy to minimize the network cost at the user equipment (UE) side, while satisfying the constraints of task offloading deadline, the cache capacity at APs and the computing capability of MEC servers. The optimization problem is formulated as a mixed integer nonlinear program (MINLP) problem. In order to solve the problem, we transform it into an equivalent task offloading convex optimization problem by fixing an optimization variable. Furthermore, we solve a cache placement problem by dynamic programming (DP) algorithm. Then we propose a distributed collaborative data caching and computing offloading (CDCCO) iterative algorithm. Simulation results demonstrate that our proposed CDCCO algorithm can significantly reduce the network cost and achieve better performance than other existing schemes.

Adaptive Content Precaching Scheme Based on the Predictive Speed of Vehicles in Content-Centric Vehicular Networks.

Content-Centric Vehicular Networks (CCVNs) are considered as an attractive technology to efficiently distribute and share contents among vehicles in vehicular environments. Due to the large size of contents such as multimedia data, it might be difficult for a vehicle to download the whole of a content within the coverage of its current RoadSide Unit (RSU). To address this issue, many studies exploit mobility-based content precaching in the next RSU on the trajectory of the vehicle. To calculate the amount of the content precaching, they use a constant speed such as the current speed of the vehicle requesting the content or the average speed of vehicles in the next RSU. However, since they do not appropriately reflect the practical speed of the vehicle in the next RSU, they could incorrectly calculate the amount of the content precaching. Therefore, we propose an adaptive content precaching scheme (ACPS) that correctly estimates the predictive speed of a requester vehicle to reflect its practical speed and calculates the amount of the content precaching using its predictive speed. ACPS adjusts the predictive speed to the average speed starting from the current speed with the optimized adaptive value. To compensate for a subtle error between the predictive and the practical speeds, ACPS appropriately adds a guardband area to the precaching amount. Simulation results verify that ACPS achieves better performance than previous schemes with the current or the average speeds in terms of the content download delay and the backhaul traffic overhead.

The Internet - a risk-taking space for university students

Aim. The purpose of this article is to analyse risky behaviours undertaken by university students on the Internet. Theory. The concepts of “risk” and “risky behaviour” are known and often discussed in science. Krzysztof Ostaszewski (2005) defines risky behaviours as actions that contradict social norms and legal order, which at the same time pose a threat to a person's health and development. The catalogue of risky behaviours is very diverse and—more importantly—open. With the development of civilisation, new forms appear. Examples include risky behaviours on the Internet. Methodology and research results. The study population sample consisted of 241 university students. The research was conducted using an online survey questionnaire. The respondents admitted to taking risks in the virtual world. A large percentage of respondents admit to sharing private information on social networks (almost 70%). Nearly 75% of respondents ignore communications about potential threats to websites, putting themselves at risk of losing sensitive data. Moreover, 65.1% of students admit to downloading content from illegal sources. Other risky behaviours undertaken by students on the Internet include Internet addiction and online activities, aggression on the Internet, sexual and/or erotic behaviour in cyberspace. The paper also presents the answers to open-ended questions, which refer to threats on the Internet as perceived by the students. The answers given most often referred to: addiction to new technologies, loss/theft of private data, vulnerability to false/unverified information available on the Internet. Cognitive value. Online risk-taking is a global problem. The phenomenon should be further theoretically considered and analysed in a pedagogical practice.

What You Need to Know About APA’s Annual Meeting Platform

Back to table of contents Previous article Next article APA & MeetingsFull AccessWhat You Need to Know About APA’s Annual Meeting PlatformVernetta CopelandVernetta CopelandSearch for more papers by this authorPublished Online:2 Mar 2021https://doi.org/10.1176/appi.pn.2021.3.44AbstractBy now, you may have already participated in professional online meetings, but here’s a general description of what you can expect from the platform that APA will be using for its meeting.It is hard to believe that it’s been almost two years since APA held its last in-person Annual Meeting, but APA is excited to offer you a top-quality meeting online this year and create a communal event where members can learn from recognized experts and interact with each other. To host the meeting, APA has selected a meeting platform that is designed to give you an enjoyable engagement experience that is easy to navigate as you participate in scientific sessions, connect with exhibitors in the Virtual Exhibit Gallery, attend Product Theater Showcases, experience networking opportunities with colleagues, and compete for great prizes with “gamification.”As you can see in this issue of Psychiatric News, highlights of the meeting include the Opening Session, Convocation of Distinguished Fellows, a closing plenary session, and an exceptional lineup of expert speakers covering the depth and breadth of psychiatry and discussing issues that are vitally important to psychiatry today. About 10,000 attendees are expected to tune in from around the world.To get the most out of the online meeting, the first step to take is scheduling your time as if you were attending the Annual Meeting in person. You are balancing heavy work demands while meeting family obligations, so it’s helpful to plan your days in advance to take full advantage of the scientific program and exhibit events planned.Pre-Conference Expo DayA pre-conference expo day has been scheduled for Friday, April 30, from 11 a.m. to 5:30 p.m. This day gives attendees an opportunity to become acclimated to the online platform and provides exclusive time for attendees to attend the Virtual Exhibit Gallery and meet with exhibitors about their latest products and services. There will also be a Product Theater Showcase with product and company presentations and the APA Publishing Bookstore.Throughout the meeting, attendees are encouraged to have quality engagement with exhibitors by scheduling informal meetings with them and participate in other exhibit events (like the Product Theater Showcases and sponsored events) to earn points to win daily prizes, including the grand prize of a Peloton bike. A leaderboard will track attendees’ progress in earning points throughout the meeting.How to Access the MeetingRegistrants will be sent a link to the meeting platform by April 26. The homepage for the site will lead you to the various meeting features, such as Sessions, Speakers, Exhibitors, Networking, and Poster Sessions.Profiles and SchedulesYour profile will be preconfigured based on your meeting registration data; you can then customize your profile by uploading a photo and modifying your networking settings. You can populate your “favorites list” of preferred speakers, sessions, posters, showcases, and exhibitors, as well as meetings you have scheduled with exhibitors.Session PageThere will be 135 scientific sessions offering 13.5 CME credits over the three-day meeting, with three sessions scheduled in each time block. The page for each session will include the speaker’s name, photo, session description, biographical information, and available materials for download. Sessions will be 90 minutes in length and include a live question-and-answer period.Exhibitor Listing/Search FeatureIf you are looking for a particular exhibitor or exhibit based on product category, use the search feature to filter through exhibitors. You will then be able to interact and engage with exhibitors through chat or video or leave a virtual business card with contact information.Exhibitor PageEach virtual exhibitor page will provide the following information based on the booth type: company name and logo, description, website links, contact information, social handles, content downloads, video content, and business card drop.NetworkingThe main networking page allows attendees to connect with fellow colleagues and exhibitors through video, voice, and chat.ChatbotFor many of you, an online meeting platform may be a new experience, and if you have questions or encounter difficulties, help is always available. Look for the chatbot on the various pages of the site for 24/7 support. The chatbot can answer over 93% of all event-related questions instantly.The online platform is your connection to all things Annual Meeting. Meeting information will be updated and expanded, so continue to visit the APA Annual Meeting website for information here. ■Vernetta Copeland is associate director of exhibits and sponsorship sales in APA’s Department of Meetings and Conventions. ISSUES NewArchived

An Enhanced Replica Selection Approach Based on Distance Constraint in ICN

Fifth generation (5G) networks have a high requirement for low latency of data delivery. Information-centric networking (ICN) adopts the paradigm of separation of the identifier and locator. It is efficient in content distribution by supporting in-network caching and has the potential to satisfy the low latency requirement in 5G. Replica selection is a key problem to retrieving content in ICN. Prior research usually utilizes the nearest replica. However, using the nearest replica cannot guarantee the smallest content download delay. To exploit in-network caching better, we propose an enhanced replica selection approach, called ERS. ERS first uses a distance-constrained-based name resolution system to discover the nearby replicas. Then, the most appropriate replica is chosen according to a local state table that maintains the state of replica nodes within a limited domain. In addition to network distance and replica node load, ERS innovatively introduces the path congestion degree between requester and replica nodes to assist replica selection. With extensive simulations, the proposed approach shows better performance than the state-of-the-art methods in terms of average content download delay. Finally, the overhead of the proposed method is analyzed.

Evaluating Load Balancing Performance in Distributed Storage With Redundancy

To facilitate load balancing, distributed systems store data redundantly. We evaluate the load balancing performance of storage schemes in which each object is stored at $d$ different nodes, and each node stores the same number of objects. In our model, the load offered for the objects is sampled uniformly at random from all the load vectors with a fixed cumulative value. We find that the load balance in a system of $n$ nodes improves multiplicatively with $d$ as long as $d = o\left(\log(n)\right)$, and improves exponentially once $d = \Theta\left(\log(n)\right)$. We show that the load balance improves in the same way with $d$ when the service choices are created with XOR's of $r$ objects rather than object replicas. In such redundancy schemes, storage overhead is reduced multiplicatively by $r$. However, recovery of an object requires downloading content from $r$ nodes. At the same time, the load balance increases additively by $r$. We express the system's load balance in terms of the maximal spacing or maximum of $d$ consecutive spacings between the ordered statistics of uniform random variables. Using this connection and the limit results on the maximal $d$-spacings, we derive our main results.

Project OPUS: Development and evaluation of an electronic platform for pain management education of medical undergraduates in resource-limited settings.

Pain is a very frequent symptom that is reported by patients when they present to health professionals but remains undertreated or untreated, particularly in low-resource settings including Nigeria. Lack of training in pain management remains the most significant obstacle to pain treatment alongside an inadequate emphasis on pain education in undergraduate medical curricula, negatively impacting on subsequent care of patients. This study aimed to determine the effect of a 12-week structured e-Learning course on the knowledge of pain management among Nigerian undergraduate medical students. Prospective, multisite, pre-post study conducted across five medical colleges in Nigeria. Structured modules covering aspects of pain management were delivered on an e-Learning platform. Pre- and post-test self-assessments were carried out in the 12-week duration of the study. User experience questionnaires and qualitative interviews were conducted via instant messaging to evaluate user experiences of the platform. User experience data was analysed using the UEQ Data Analysis Tool and Framework Analysis. A total of 216 of 659 eligible students completed all sections of the e-Learning course. Participant mean age was 23.52 years, with a slight female predominance (55.3%). Across all participants, an increase in median pre- and post-test scores occurred, from 40 to 60 (Z = 11.3, p<0.001, effect size = 1.3), suggestive of increased knowledge acquisition relating to pain management. Participants suggested e-Learning is a valuable approach to delivering pain education alongside identifying factors to address in future iterations. e-Learning approaches to pain management education can enhance traditional learning methods and may increase students' knowledge. Future iterations of e-Learning approaches will need to consider facilitating the download of data and content for the platform to increase user uptake and engagement. The platform was piloted as an optional adjunct to existing curricula. Future efforts to advocate and support integration of e-Learning for pain education should be two-fold; both to include pain education in the curricula of medical colleges across Nigeria and the use of e-Learning approaches to enhance teaching where feasible.

Dickens's Afterlife: Character and Cultural Memory

As a post-mortem of Dickens, this paper will examine Dickensian afterlives in modern multimedia representations of Dickens and his characters. I will consider these representations and modern popular culture's representational balance between the writer and his works. The three recent examples of Dickens and his characters in different media – small screen, video game, and cinema – that will be discussed are: the 2015 BBC series Dickensian; the ‘Darwin and Dickens Conspiracy’ additional downloadable content (DLC) of the 2015 video game Assassin's Creed: Syndicate; and the 2017 film The Man Who Invented Christmas. These modern appropriations of Dickens illustrate how Dickens's characters persist in cultural memory, and indeed how Dickens himself has become a recognisable character. I will examine how these adaptations are rooted not in familiarity with the original texts, but in a shared cultural memory of Dickens and his characters. Ultimately, these Dickensian afterlives show that Dickens and his characters can be used in popular culture as a pseudo-authentication of the Victorian and as a memorial of Dickens himself.

Reliable and Efficient Content Sharing for 5G-Enabled Vehicular Networks

Conditional privacy preservation and message authentication serve as the primary research issues in terms of security in vehicular networks. With the arrival of 5G era, the downloading speed of network services and the message transmission speed have significantly improved. Consequently, the content exchanged by users in vehicular networks is not limited to traffic information, and vehicles moving at high speeds can share a wide variety of contents. However, sharing content reliably and efficiently remains challenging owing to the fast-moving character of vehicles. To solve this problem, we propose a reliable and efficient content sharing scheme in 5G-enabled vehicular networks. The vehicles with content downloading requests quickly filter the adjacent vehicles to choose capable and suitable proxy vehicles and request them for content services. Thus, the purpose of obtaining a good hit ratio, saving network traffic, reducing time delay, and easing congestion during peak hours can be achieved. The security analysis indicates that the proposed scheme meets the security requirements of vehicular networks. Our cryptographic operations are based on the elliptic curve, and finally, the proposed scheme also displays favorable performance compared to other related schemes.

Simultaneous Wireless Content and Power Transfer in F-RAN: Caching, eRRH Classification and Beamforming

Radio frequency (RF) signal based wireless power transfer (WPT) is incorporated into fog radio access network (F-RAN) in order to simultaneously satisfy the content downloading demand of the content users (CUs) and the charging requirement of the energy users (EUs). Numerous enhanced remote-radio-heads (eRRHs) of F-RAN are distributed in a wide area, which are connected to the central base-band-unit (BBU) pool by fronthaul links. In order to reduce the adverse effect of the limited fronthaul capacity on the wireless content transfer (WCT), eRRHs are equipped with the content caching capability. A greedy algorithm based near-optimal caching design is then proposed for reducing the content responsive latency by considering the geographic distribution of CUs. Furthermore, given this caching design, a joint optimisation problem of eRRH classification (some for WCT and some for dedicated WPT) and distributed transmit beamforming is solved by a low-complexity heuristic algorithm. This algorithm aims for maximising the total energy harvested by the EUs, while satisfying the CUs’ minimum WCT rate and the limited fronthaul capacity. Intensive simulation results in the scenarios of both uniform and non-uniform users’ distribution validate our caching, eRRH classification and distributed transmit beamforming design in an F-RAN.

El modelo SciELO en España: un proyecto pionero de acceso abierto

El proyecto SciELO se constituye como una iniciativa pionera del movimiento de acceso abierto para la publicación de revistas científicas editadas en países en desarrollo y de habla no inglesa.El artículo comienza revisando los orígenes del proyecto SciELO en Brasil en 1998 y su desarrollo como red cooperativa extendida a 14 países iberoamericanos y Sudáfrica. A continuación, se centra en la iniciativa española, SciELO España, que comienza a funcionar en 2001 con 4 revistas y que en la actualidad incluye 60 revistas y más de 40.000 artículos. Asimismo, se destacan los hitos conseguidos a nivel científico y de respaldo de la comunidad de editores científicos, como lo demuestran las cifras de visitas y descarga de contenidos que recibe, así como la incorporación de sus revistas en índices internacionales de prestigio como Web of Science y Scopus.

Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

Recently, Internet of Vehicles (IoV) has become one of the most active research fields in both academic and industry, which exploits resources of vehicles and Road Side Units (RSUs) to execute various vehicular applications. Due to the increasing number of vehicles and the asymmetrical distribution of traffic flows, it is essential for the network operator to design intelligent offloading strategies to improve network performance and provide high-quality services for users. However, the lack of global information and the time-variety of IoVs make it challenging to perform effective offloading and caching decisions under long-term energy constraints of RSUs. Since Artificial Intelligence (AI) and machine learning can greatly enhance the intelligence and the performance of IoVs, we push AI inspired computing, caching and communication resources to the proximity of smart vehicles, which jointly enable RSU peer offloading, vehicle-to-RSU offloading and content caching in the IoV framework. A Mix Integer Non-Linear Programming (MINLP) problem is formulated to minimize total network delay, consisting of communication delay, computation delay, network congestion delay and content downloading delay of all users. Then, we develop an online multi-decision making scheme (named OMEN) by leveraging Lyapunov optimization method to solve the formulated problem, and prove that OMEN achieves near-optimal performance. Leveraging strong cognition of AI, we put forward an imitation learning enabled branch-and-bound solution in edge intelligent IoVs to speed up the problem solving process with few training samples. Experimental results based on real-world traffic data demonstrate that our proposed method outperforms other methods from various aspects.

Loot Boxes and Gambling: Similarities and Dissimilarities in Risk and Protective Factors.

Politicians, health officials, and scholars have argued that loot boxes (virtual items that can be redeemed to receive randomly selected other virtual items) in video games function as a type of gambling, and research has shown that loot box purchasing is correlated with gambling behaviors. Whether loot box purchasing shares other characteristics with gambling such as risk and protective factors, however, has not been explored empirically. This study uses data from large, random samples of American youth to regress both gambling and loot box purchasing (as well as purchasing other downloadable content) on previously established risk and protective factors of gambling. Results suggest that, aside from gender differences, loot boxes share little in common with traditional forms of gambling. The data also indicate that youth gamers are less likely to have purchased loot boxes in comparison to previously estimated adult gamer prevalence rates.

RL-Cache: Learning-Based Cache Admission for Content Delivery

Content delivery networks (CDNs) distribute much of the Internet content by caching and serving the objects requested by users. A major goal of a CDN is to maximize the hit rates of its caches, thereby enabling faster content downloads to the users. Content caching involves two components: an admission algorithm to decide whether to cache an object and an eviction algorithm to determine which object to evict from the cache when it is full. In this paper, we focus on cache admission and propose a novel algorithm called RL-Cache that uses model-free reinforcement learning (RL) to decide whether or not to admit a requested object into the CDN's cache. Unlike prior approaches that use a small set of criteria for decision making, RL-Cache weights a large set of features that include the object size, recency, and frequency of access. We develop a publicly available implementation of RL-Cache and perform an evaluation using production traces for the image, video, and web traffic classes from Akamai's CDN. The evaluation shows that RL-Cache improves the hit rate in comparison with the state of the art and imposes only a modest resource overhead on the CDN servers. Further, RL-Cache is robust enough that it can be trained in one location and executed on request traces of the same or different traffic classes in other locations of the same geographic region. The paper also reports extensive analyses of the RL-Cache sensitivity to its features and hyperparameter values. The analyses validate the made design choices and reveal interesting insights into the RL-Cache behavior.

UAV-Aided Edge/Fog Computing in Smart IoT Community for Social Augmented Reality

In 5G and beyond, the adequate interaction between densely deployed Internet-of-Things (IoT) devices and cellular users will generate a massive cyber-physical information stream in a real-time manner. How to capture insights underneath these data in a smart city context is gaining great attention nowadays. In this article, we introduce a highly function-differentiated metropolitan scenario, which is covered by multiple unmanned aerial vehicles (UAVs) serving as cache-enabled edge computing nodes. With the help of wireless backhaul technology, coverage capability of UAV can be dynamically configured through smart 3-D placement, where trajectories of two types of UAVs are optimized. A social augmented reality (AR)-based use case is proposed and discussed in the proposed scenario, from which we derive the fundamental mechanisms and strategies to maintain a green and sustainable edge/fog computing framework. We sequentially establish two nonconvex programming problems and optimize delay and energy performance during AR data acquisition and AR content downloading, respectively. Two convex approximation skills are applied to transform the original problems into tractable form. The experimental results show that our proposed edge computing framework can help provide energy-efficient AR service to cellular users, catering to pretty tight delay constraints.