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The purpose of this paper is to provide energy-efficient task scheduling and resource allocation (RA) in cloud data centers (CDC).

Task scheduling and RA is proposed in this paper for cloud environment, which schedules the user’s seasonal requests and allocates resources in an optimized manner. The proposed study does the following operations: data collection, feature extraction, feature reduction and RA. Initially, the online streaming data of seasonal requests of multiple users were gathered. After that, the features are extracted based on user requests along with the cloud server, and the extracted features are lessened using modified principal component analysis. For RA, the split data of the user request is identified and that data is pre-processed by computing closed frequent itemset along with entropy values. After that, the user requests are scheduled using the normalized K-means algorithm (NKMA) centered on the entropy values. Finally, the apt resources are allotted to that scheduled task using the Cauchy mutation-genetic algorithm (CM-GA). The investigational outcomes exhibit that the proposed study outruns other existing algorithms in respect to response time, execution time, clustering accuracy, precision and recall.

The proposed NKMA and CM-GA technique’s performance is analyzed by comparing them with the existing techniques. The NKMA performance is analyzed with KMA and Fuzzy C-means regarding P_rc (Precision), R_ca (Recall), F ms (f measure), Acr (Accuracy)and C_t (Clustering Time). The performance is compared to about 500 numbers of tasks. For all tasks, the NKMA provides the highest values for P_rc, R_ca, F_ms and A_cr, takes the lowest time (C_t) for clustering the data. Then, the CM-GA optimization for optimally allocating the resource in the cloud is contrasted with the GA and particle swarm optimization with respect to R_t (Response Time), P_t (Process Time), A_wt (Average Waiting Time), A_tat (Average Turnaround Time), L_cy (Latency) and T_p (Throughput). For all number of tasks, the proposed CM-GA gives the lowest values for R_t, P_t, A_wt, A_tat and L_cy and also provides the highest values for T_p. So, from the results, it is known that the proposed technique for seasonal requests RA works well and the method optimally allocates the resources in the cloud.

The proposed approach provides energy-efficient task scheduling and RA and it paves the way for the development of effective CDC.

This study aims to investigate how sports customers adopted over-the-top (OTT) services to consume sport content. Inspired by the technology acceptance model (TAM), the study aims to understand users' behavior when consuming sporting events and users' perceptions toward OTT services.

The participants of the study are Chinese sports consumers that use streaming services to watch live sport content. An online survey was distributed through HUPU Sports, a Chinese online communication community where sports fans can share opinions. To make sure all responses qualified to take part in the study, skip logic questions were added at the beginning of the questionnaire to ask participants to answer whether they used streaming services for watching sports. A total of 352 responses were received and there were 327 useable questionnaires.

The results revealed that viewing convenience, free of commercials and viewing quality were the main reasons impacting them to adopt OTT services. In terms of users' perceptions, paid users rated higher in perceived enjoyment, perceived value, perceived usefulness (PU) and ease of use than nonpaid users. OTT users' fandom and PU could predict the time the users spent on using these services, while the users' fandom and perceived value are positively related to the money users spent on these services. In addition, this study also found that users' fandom, perceived value, content quality, and ease of use are positively associated with users' intention to continue to use the service.

The study is one of the first attempts to explore how sports audiences adopted OTT services to consume sport content and explore the audiences' perceptions toward OTT usage. Previous studies have already investigated how users adopted music streaming services (Fernandes and Guerra, 2019) and other online streaming services (Shin and Park, 2021), but little attention has been given to sports streaming services specifically. Therefore, the findings of the study fill the gap in the extant knowledge of sport consumers' behavior and provide more insights to their online behaviors. Moreover, the authors also contribute to the growing digital media literature by advancing our understanding perceptional differences between paid users and unpaid users. The streaming services literature has primarily focused on general users (Fernandes and Guerra, 2019), but the services neglect to understand the differences in between paid and unpaid users.

E-commerce live streaming (ELS) has become a new and important shopping channel. Although previous studies have provided insightful findings on how to engage consumers in ELS, limited effort has been made to explore the role of factors of live streaming rooms. Based on the literature on space perception and the retail environment, this study aims to develop a theoretical model to examine how perceived distance and perceived depth affect consumers' affective and cognitive perceptions and then further impact product attitude in ELS.

This study collected 414 valid survey responses to test the proposed research model. Survey data were analyzed using partial least squares (PLS)-structural equation modeling. The PLS Multi-Group analysis (PLS-MGA) was used to test the consistency of the research model across different product types and watching durations.

The results suggest that environmental factors of a live streaming room (i.e. perceived distance and perceived depth) can impact consumers' attitudes toward the product in the live streaming via both cognitive and affective routes. These effects keep consistent across different product types and watching durations.

The paper focuses on the environmental perspective, which is unexplored in previous literature on ELS. It highlights the importance of the space design of live streaming rooms.

This article seeks to understand how live-streaming technology (i.e. interactivity and effective use of live-streaming shopping’s information presentation tool) impacts consumers’ credibility perception regarding live streamers.

The authors empirically examined their hypotheses with data (n = 405) collected from a survey of consumers who engage in live-streaming shopping.

The results demonstrate that vicarious learning strategies (both coactive and independent) can shape consumers’ benefit perceptions (i.e. virtual presence and psychological proximity), and further have a positive effect on consumers’ personal value (i.e. perceived live streamer credibility). Furthermore, the consumers’ perception of the live streamers’ credibility positively affects their purchase intention and ultimately influences their purchase behavior.

Building on the vicarious learning theory and means-end chain (MEC) model, this study investigates the mechanism of the IT features of live-streaming shopping in reducing consumers’ uncertainty about live streamers. This study reveals the value of vicarious learning experiences in reducing consumers’ uncertainty and further enhancing their purchase behavior.

Live streaming commerce becomes increasingly popular, and some special shopping behaviors existing in traditional e-commerce also emerge in this new context. The current research mainly focuses on determinants of compulsive buying in live streaming commerce by taking fear of missing out (FOMO) and social influence into account.

Using the data collected from 242 experienced consumers in live streaming commerce, the proposed model was empirically assessed by partial least squares based structural equation model.

The results show that both informational and normative social influences have positive effects on FOMO, which in turn exert an influence on compulsive buying. In addition, informational social influence also directly and positively affects compulsive buying.

This study provides a deeper understanding of FOMO and social influence in the process of compulsive buying. It offers a new avenue to analyze the mechanism regarding why compulsive buying occurs in live streaming commerce.

The focus of this chapter is on the effective and inclusive classroom practices for the teaching and learning of mathematics at the primary and early secondary levels. The research literature and major national and international reports on effective and inclusive mathematics teaching at the primary and secondary levels of schooling are examined. Some of the challenges to inclusive mathematics teaching are explored. Based in Florian’s (2014) inclusive pedagogical approach in action framework, a research-based exemplar of effective and inclusive primary mathematics teaching is described. The elements of effective and inclusive practices at the secondary level are outlined and a sample lesson presented. Potential impediments to inclusivity are examined.

The rapid development of live-streaming commerce has increased companies’ marketing effectiveness. While previous studies have explored the effects of its technical features on consumers, the effects of marketing-related factors remain unknown. This study aims to investigate the effects of the marketing elements of live-streaming commerce on consumers’ purchase intentions.

The research model is derived from the Yale model and the benefit–risk framework. To test the study hypotheses, data were collected through a questionnaire survey of 392 live-streaming shoppers and analyzed using SmartPLS.

The empirical results indicate that broadcaster competence and online crowding increase consumers’ perception of price attractiveness while reducing their perceived uncertainty. Information diagnosticity also reduces consumers’ perceived uncertainty. Furthermore, purchase intention is positively and negatively affected by perceived price attractiveness and perceived uncertainty, respectively. Finally, product scarcity moderates the relationships between broadcaster competence, online crowding, information diagnosticity, perceived price attractiveness and perceived uncertainty.

The study identifies the different marketing elements in live-streaming commerce and their effects on consumers’ value evaluations and purchase intentions. The findings provide comprehensive insights into the antecedents of live-streaming shopping and offer new perceptions and recommendations for practitioners.

This paper aims to present the outcome of the i2CAT Foundations' research and innovation projects that use JXTA P2P technology to share audiovisual content.

The project consisted of designing and developing a distributed application named eRuc that allows management and sharing of audiovisual content.

The paper finds that JXTA is suitable to develop P2P applications that share audiovisual files or that interact with different kind of devices. JXTA services and protocols provide an easy integration with other P2P services and a gain of independence from the topology of the physical network (NAT, firewalls, etc.).

High‐quality streaming requires specifically designed P2P architectures. Further testing needs to be performed to evaluate whether the use of JXTA, together with proven, efficient P2P streaming architectures, affect the efficiency of the P2P streaming system.

P2P technologies have proven to be very efficient for some kind of applications. However, there are no standard frameworks for interoperability and application development may become difficult. JXTA P2P technologies facilitate application development and integration. The authors have used JXTA in different scenarios related with audiovisual content sharing and have proven its suitability. The current work is focused in P2P streaming. Previous literature suggests that there are some proven architectures for P2P life streaming. Using JXTA together with them may prove if JTXA is suitable for applications that require high bandwidth and minimum delay.

The paper provides information of value to information management and technology professionals.

The purpose of this study is to examine the options for streaming video service available to libraries and determine which platform would best fit the needs of the University at Albany Libraries.

Usage data and faculty and student feedback about the streaming video collections already in use by the libraries were compiled to evaluate current needs, and information was gathered about a selection of additional streaming video platforms to be considered.

It was determined that a multi-disciplinary collection with a patron-driven-style subscription model would be the best choice to add to the libraries streaming video offerings.

This study focuses on the needs and experiences of the University at Albany Libraries, but the methodology can be used by other institutions assessing their own collections.

Most of the current literature related to streaming video in libraries focuses on building new collections, with little discussion of adding to existing collections – a gap which this study aims to fill.

This paper aims to propose a hospitality and tourism live-streaming (HTLS) experience cocreation model based on a critical reflection of extant literature to capture the governing structure of HTLS experiences and reveal the mechanisms under which HTLS works.

To ensure that critical reflections and insights produced by this study are meaningful and contribute to the body of knowledge and practices, the authors have adopted a robust methodology comprising systematic searching, evaluating and conceptualizing.

A conceptual model is developed around three critical and intimately related domains of HTLS experiences: the governing framework of HTLS content cocreation based on stakeholder theory; the structural relationships between HTLS content, IT affordance and HTLS experiences; and the conceptual structure of HTLS experiences based on personal engagement theory.

Several practical implications follow from this study. First, it is critical to understand that both HTLS content and experience are affected by multiple stakeholders. Second, stakeholder interactions and cocreation determine consumer experiences. Third, practitioners should take advantage of the understanding of HTLS stakeholder attributes. Fourth, attention should be paid to IT affordance. And lastly, a tiered structure appears to govern consumer engagement in HTLS.

Live-streaming studies are still in their infancy stage in hospitality and tourism, with only nine papers related to HTLS published in peer-reviewed journals until May 2022. This study reviewed a carefully selected collection of 15 live-streaming-related articles and proposed a conceptual HTLS experience cocreation model. Moreover, the existing studies in live streaming are synthesized, with important themes identified, as well as practical and theoretical trends explored.