Future networks are expected to support lowlatency, context-aware and user-specific services in a highly flexible and efficient manner. One approach to support emerging use cases such as, e.g., virtual reality and in-network image processing is to introduce virtualized network functions (vNF)s at the edge of the network, placed in close proximity to the end users to reduce end-to-end latency, time-to-response, and unnecessary utilisation of the core network. While placement of vNFs has been studied before, it has so far mostly focused on reducing the utilisation of server resources (i.e., minimising the number of servers required in the network to run a specific set of vNFs), and not taking network conditions into consideration such as, e.g., end-to-end latency, the constantly changing network dynamics, and user mobility patterns. In this paper, we first formulate the Edge vNF placement problem to allocate vNFs to a distributed edge infrastructure, minimising end-to-end latency from all users to their associated vNFs. Furthermore, we present a way to dynamically reschedule the optimal placement of vNFs based on temporal network-wide latency fluctuations using optimal stopping theory. We evaluate our dynamic scheduler over a simulated nationwide backbone network using real-world ISP latency characteristics. We show that our proposed dynamic placement scheduler minimises vNF migrations compared to other schedulers (e.g., periodic and always-on scheduling of a new placement), and offers Quality of Service guarantees by not exceeding a maximum number of latency violations that can be tolerated by certain applications.
Professional team sports organizations (PTSOs) are highly influential in our society. They can both positively and negatively shape the public discourse around responsible norms of behavior. The purpose of this article is to describe and critically review the literature on PTSOs’ corporate social responsibility (CSR) to develop a comprehensive understanding of current and future research directions in the field. Our analysis reviewed articles on CSR within PTSOs and identified publication year; geographical dispersion; journal type; sports contexts; social issues investigated; research approaches and methods; and how CSR was conceptualized, defined, and theoretically supported. The findings indicate that CSR within PTSOs has primarily been investigated in community programs, using qualitative research methods and pragmatically conceptualizing CSR on the basis of return on investments to the organization in European and North American contexts. Our discussion provides a critical review of the literature before outlining avenues for future research and practice.
Research question/purpose-Instagram has become an increasingly popular tool for sport organisations to share visual content. This study aims to examine how professional team sport organisations use Instagram for branding purposes and to explore the given meaning of Instagram followers' reactions to the organisations' Instagram activity. Research methods-The study was conducted in two phases. First, we analysed 2017 Instagram photos of two football teams from the English Premier League. Photos were categorised on product-and non-product-related brand attributes. Employing a quantitative content analysis technique, statistical analysis involved intra-case and inter-case relationships between brand attributes and Instagram's key fan engagement features (Comment and Like). Second, we analysed 2100 Instagram comments from a qualitative perspective in order to gain further insight into the fans' meanings associated with such posts. Results and findings-The findings offer significant insights to sport marketers in their efforts to increase fan engagement through social media. For both of the examined football teams, product-related attributes were used significantly more often than non-product-related attributes and encouraged greater engagement from online followers. Against these brand attributes, fans' interaction through one of the Instagram's key engagement features is expressed through 'aspiring'-, 'belonging'-, 'criticising'-and 'loving'-based comments. Implications-The study shows that Instagram facilitates co-branding, while giving fans a more active role in the branding process through comments. We recommend a culture change whereby teams become more market-focused and communications-driven by employing a greater understanding of the semiotics of images and fan comments through the use of social media.
Purpose -Under growing public scrutiny of their behaviour, the vast majority of multinational enterprises have been undertaking significant investments through corporate social responsibility in order to close legitimacy gaps. The purpose of this paper is to provide a descriptive account of the nature and scope of MNEs' CSR programmes that have sport at their core. More specifically, the present study addresses the following questions: (1) How do FTSE-100 firms utilise sport as part of their CSR agendas? (2) How do different industries have different approaches to CSR through sport? and (3) Can the types of CSR through sport be classified?Design/methodology/approach -Centred on legitimacy theory and exploratory in nature, the study employed a content analysis method, and examined three types of document from each of the FTSE100 firms, namely, annual reports, annual reviews and CSR reports over the ten-year period from 2003 to 2012. In total, 1,473 documents were content analysed, thereby offering a sound representation of CSR disclosure of the FTSE100. 2 of reliable conclusions problematic. Particularly, the lack of an explicit focus on longitudinality is a typical limitation, meaning that no conclusions can be made regarding the trend. The study outlined in this paper offers the most comprehensive longitudinal study of CSR through sport to date, and thus contributes to the increasing volume of literature that examines the application of CSR in relation to the sport sector.
A B S T R A C TWaste Management (WM) represents an important part of Smart Cities (SCs) with significant impact on modern societies. WM involves a set of processes ranging from waste collection to the recycling of the collected materials. The proliferation of sensors and actuators enable the new era of Internet of Things (IoT) that can be adopted in SCs and help in WM. Novel approaches that involve dynamic routing models combined with the IoT capabilities could provide solutions that outperform existing models. In this paper, we focus on a SC where a number of collection bins are located in different areas with sensors attached to them. We study a dynamic waste collection architecture, which is based on data retrieved by sensors. We pay special attention to the possibility of immediate WM service in high priority areas, e.g., schools or hospitals where, possibly, the presence of dangerous waste or the negative effects on human quality of living impose the need for immediate collection. This is very crucial when we focus on sensitive groups of citizens like pupils, elderly or people living close to areas where dangerous waste is rejected. We propose novel algorithms aiming at providing efficient and scalable solutions to the dynamic waste collection problem through the management of the trade-off between the immediate collection and its cost. We describe how the proposed system effectively responds to the demand as realized by sensor observations and alerts originated in high priority areas. Our aim is to minimize the time required for serving high priority areas while keeping the average expected performance at high level. Comprehensive simulations on top of the data retrieved by a SC validate the proposed algorithms on both quantitative and qualitative criteria which are adopted to analyze their strengths and weaknesses. We claim that, local authorities could choose the model that best matches their needs and resources of each city.
Location-based mobile services have been in use, and studied, for a long time. With the proliferation of wireless networking technologies, users are mostly interested in advanced services that render the surrounding environment (i.e., the building) highly intelligent and significantly facilitate their activities. In this paper our focus is on indoor navigation, one of the most important location services. Existing approaches for indoor navigation are driven by geometric information and neglect important aspects, such as the semantics of space and user capabilities and context. The derived applications are not intelligent enough to catalytically contribute to the pervasive computing vision. In this paper, a novel navigation mechanism is introduced. Such navigation scheme is enriched with user profiles and the adoption of an ontological framework. These enhancements introduce a series of technical challenges that are extensively discussed throughout the paper.
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