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Load Balancing to Optimize MPEG-DASH Video Streaming

Load Balancing to Optimize MPEG-DASH Video Streaming

引用

International conference on Information networking

作者： Edenilson Jônatas Dos Passos Adriano Fiorese Department of Computer Science (DCC) Graduate Program in Apllied Computing (PPGCAP) Santa Catarina State University (UDESC) Joinville Brazil

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

Recent advancements in on-demand multimedia streaming have revealed the potential of this business model, driven by the convenience of accessing content anytime and anywhere. However, delivering a seamless user experience remains challenging due to the demanding nature of audiovisual streams, despite significant resource allocation. A promising solution involves using load balancers to distribute workloads evenly among processing units. This study proposes optimizing the processing and transmission resources by means of Software-Defined Networks (SDN). By continuously monitoring performance metrics like CPU usage and throughput, the SDN network controller determines the best server for handling new connections, even allowing seamless server migration during playback. The results show up to 80% faster response times and more consistent video quality, with reduced latency and uninterrupted playback. The approach also confirms the feasibility of SDN in streaming services, providing a foundation for future network improvements.

关键词： Transform coding Streaming media Load management User experience Quality assessment Servers Time factors Software defined networking Video recording Monitoring

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A Distributed Task Allocation Methodology for Edge computing in a LEO Satellite IoT Context

A Distributed Task Allocation Methodology for Edge Computing...

引用

Advanced Satellite Mobile Systems (ASMS)

作者： Swapnil Sadashiv Shinde David Naseh Tomaso DeCola Daniele Tarchi CNIT - University of Florence Research Unit Firenze Italy Department of Electrical Electronic and Information Engineering "Guglielmo Marconi" University of Bologna Bologna Italy Institute of Communications and Navigation German Aerospace Center (DLR) Weßling Germany Department of Information Engineering University of Florence Firenze Italy

ISBN: (数字)9798331522353

ISBN: (纸本)9798331522384

The Internet of Things (IoT) is one of the most promising applications in the field of computer networking. Edge computing is a computationally efficient method for processing user data in a terrestrial-satellite hybrid environment, where each device is connected exclusively through a low-elevation (LEO) satellite. This paper focuses on an IoT context, introducing methodologies to effectively manage the computation-communication trade-off by strategically distributing processing tasks across various satellites. In particular, an adaptive load balancing approach is considered for efficient utilization of satellite resources. The proposed method can be implemented in a distributed manner, enabling each satellite to evaluate its task handling capacity and forward tasks if it is beyond its capability. The numerical results demonstrate the effectiveness of the proposed method compared to conventional fixed allocation and cloud processing methodologies.

关键词： Cloud computing Satellites Space communications multimedia systems Low earth orbit satellites Signal processing Load management Internet of Things Resource management Edge computing

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Image Compression Algorithms - Comparative Analysis

Image Compression Algorithms - Comparative Analysis

引用

Integrated Circuits and Communication Systems (ICICACS), IEEE International conference on

作者： G. Niharika Reddy M. Namrutha Namratha Akshaya Sreebha Bhaskaran Department of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Due to the abundance of the new digital media data, the issue of image quality and volume of data requiring compression has become a significant factor of concern, especially in media storage and transmitting. This work affords a comparative analysis of different image compression techniques with focus on the compression ratio, quality preservation, and complexity. A new hybrid model of Predictive Coding, Run Length Coding and Quantum Entropy Coding (QEC) is proposed and shown to exhibit negligible quality loss with substantial space saving. The experimental outcomes show that the proposed method reduces space 80 percent and works better than previous methods for areas requiring high speed and relative accuracy. These insights are timely, as practical computing-communication trade-offs are paramount in the new generation of social networks, medicine, and multimedia streaming.

关键词： Integrated circuits Image quality Image coding Social networking (online) Streaming media Predictive coding Media Predictive models Prediction algorithms Entropy coding

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The Impact of Digital Platforms on Learner Lives and Educational Success

The Impact of Digital Platforms on Learner Lives and Educati...

引用

International conference on ent computing and Control Systems (ICICCS)

作者： Neha Sharma Chander Prabha Firoz Khan Nitin Rakesh Sumedha Bali Piyush Department of Computer Science and Engineering CGC Landran Punjab India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Center for Information and Communication Sciences Ball State University Muncie IN U.S.A Department of Computer Science Symbiosis Institute of Technology Nagpur Campus Symbiosis International Deemed University Pune India

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

Digital communication plays an important role in pupils in their daily life, including platforms namely Instagram, Snapchat, LinkedIn, Facebook, and Twitter for communication, networking, and learning. It provides several advantages, including access to educational resources, opportunities for collaboration, and exposure to diverse perspectives. However, excessive usage often leads to negative consequences, such as reduced concentration, procrastination, mental distress, privacy concerns, and lowered self-esteem. Many students struggle to balance academic responsibilities with the distractions posed by social media. Highly curated images on these platforms contribute to unrealistic societal standards, fostering continuous self-comparisons and elevating anxiety. Consequently, students may experience feelings of isolation and turn to online communities for support. While social media offers a space for meaningful discussions and shared experiences, overuse can significantly impact mental well-being, learning effectiveness, and overall health. Students frequently engage in endless scrolling, which leads to wasted time and detachment from the real world, ultimately affecting their academic and personal success.

关键词： Surveys Privacy Social networking (online) Blogs Entertainment industry Mental health Web sites multimedia communication Pupils Standards

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Evaluating Channel and Appeal Effectiveness to Optimize Digital Campaigns in Fashion Marketing

Evaluating Channel and Appeal Effectiveness to Optimize Digi...

引用

Advancements in Electrical, Electronics, Communication, computing and Automation (ICAECA), International conference on

作者： Latha A Sangeetha S Elankumaran R Department of Management Studies Kumaraguru College of Technolgyy Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

In the dynamic digital marketplace, Valayaa, a Coimbatore-based startup specializing in handcrafted silk bangles, relies heavily on social media platforms to promote its unique fashion accessories. Despite targeting upper-middle-class and premium-segment women who value artisanal craftsmanship, tradition, and contemporary design, the brand has faced challenges in achieving a high return on investment (ROI) and effectively reaching potential customers. This study evaluates the performance of two advertising campaigns drafted with two different emotional appeals titled Mother’s Treasure (appeal focusing Innocent & Playful) and Bangles Woven with Love (focusing sentiment and joyfulness) executed across Facebook, Instagram, and YouTube to identify key insights for optimizing digital marketing *** reveal that Bangles Woven with Love, an appeal-driven campaign centered on elegance and heritage, secured the highest click-through rate (CTR) and reach, while Mother’s Treasure, an emotionally resonant campaign celebrating maternal bonds, achieved the highest return on ad spend (ROAS) on Instagram. This highlights the significance of emotional and aspirational appeals in driving engagement and conversions. The study suggests M/s Valaya enhance campaign performance through refining audience targeting, leveraging high-performing platforms, and consistently tracking key performance indicators (KPIs) to enhance campaign effectiveness

关键词： Video on demand Target tracking Social networking (online) Refining Key performance indicator Focusing Weaving Telecommunication computing Web sites multimedia communication

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Comprehensive Examination of Depression Detection Through multimedia Content on Social Media Platforms

Comprehensive Examination of Depression Detection Through Mu...

引用

Cognitive computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), International conference on

作者： Chayan Preet Walia Priti Maheshwary Rabindranath Tagore University Bhopal India Department of Computer Science and Engineering Rabindranath Tagore University Bhopal India

ISBN: (数字)9798331518523

ISBN: (纸本)9798331518530

Depression is a mental health disorder that causes persistent feelings of sadness, hopelessness, and a loss of interest or pleasure in activities that one used to enjoy. It can be caused by a combination of genetic, biological, environmental, and psychological factors. Identifying depression causes in social media involves the use of data mining and natural language processing techniques to analyze user-generated content and behavior. Depression analysis is a popular research topic in the natural language processing field, and researchers are increasingly publishing papers on this subject. This review paper aims to explore the use of machine learning techniques for depression analysis using social media text, audio, and video data. The paper provides an overview of the different machine learning techniques used for depression analysis and their effectiveness. The review paper can help researchers understand the current state of knowledge on depression analysis using social media text, images, and videos along with machine learning techniques and identify potential areas for future research.

关键词： Analytical models Social networking (online) Reviews Computational modeling Biological system modeling User-generated content Mental health Depression Natural language processing Data models

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QoE Assessment of Cloud-Based Social Extended Reality Applications Over Heterogeneous Access Networks

QoE Assessment of Cloud-Based Social Extended Reality Applic...

引用

Consumer Communications and networking conference, CCNC IEEE

作者： Karan Mitra Henrique Souza Rossi Justin Gavrell Christer Åhlund Department of Computer Science Electrical and Space Engineering Pervasive and Mobile Computing Luleå University of Technology Skellefteå Sweden

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

The next generation of immersive applications, such as eXtended reality (XR), will likely be cloud-based and streamed over mobile networks using myriad technologies such as WiFi and 6th-generation mobile networks. Mobile networks promise ubiquitous connectivity but are prone to stochastic network conditions that may be detrimental to end users' quality of experience (QoE). The impact of network conditions on QoE has been studied extensively by industry and academia regarding various multimedia services such as audio, video, and gaming. However, the impact of network conditions on users' QoE for XR-based social applications has yet to be thoroughly investigated. This paper presents novel results assessing the impact of network conditions $(\boldsymbol{N}=\mathbf{20})$ involving factors such as round trip time (RTT), jitter (RJ), and packet losses (PL) on users' QoE via realistic subjective tests $(\boldsymbol{N}=\mathbf{28})$ regarding social XR application. Our results show that social XR applications require stringent QoS conditions. In particular, our results show that increasing RTT values do not significantly affect users' QoE up to 77ms. Combined PL and RTT cases cause significant QoE degradation from 77ms onward with greater than 2% PL. Most importantly, results show that a very small jitter value with one standard deviation beyond 52 milliseconds can lead to significant QoE degradation. Further, jitter values beyond three standard deviations for 27ms RTT and beyond should be avoided.

关键词： Degradation Cloud computing Extended reality Packet loss Quality of service Jitter Streaming media Quality of experience Standards Wireless fidelity

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Stock Market Growth and Decline Using ARIMA Model and Sentiment Analysis

Stock Market Growth and Decline Using ARIMA Model and Sentim...

引用

International Symposium on Advanced computing and Communication (ISACC)

作者： Sandipan Biswas Bhaskar Roy Sujit Kumar Singh Nitin Nitin Saroj Kumar Sahoo Sanjaya Kumar Sarangi Dept. of CSE-AI Brainware University Kolkata India Dept. of CSE(AIML) Asansol Engineering College Asansol India Faculty of Information Technology and Computer Science Parul University Vadodara India Department of CSE Akhilesh Das Gupta Institute of Professional Studies Delhi India Department of CSE Centurion University of Technology and Management Bhubaneswar India Dept. of Computer Science Utkal University Bhubaneswar India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Researchers have been developing and entering the technological era since the 18th century. Before everyone else, social networks brought people from distant nations together. Social network applications such as Reddit, Twitter, Facebook, Instagram, LinkedIn, and others are examples of associate degree programs. Each application has a unique purpose. Investors who want to buy stocks take use of this social networking information. They stay up with a few companies thanks to this information. In order to assess people's sentiments regarding a certain stock, we will be using stock-related news data in this instance. Using TEXTBLOB sentiment analysis, this analysis will provide feedback on the corporate so that we may be prepared to see a rise or fall in relation to investors or firm performance.

关键词： Sentiment analysis Analytical models Social networking (online) Time series analysis Predictive models Data models Web sites multimedia communication Stock markets Intelligent systems

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The Impact of Social Media Exposure on Consumer Banking Decisions in Sri Lanka

The Impact of Social Media Exposure on Consumer Banking Deci...

引用

Advanced Research in computing (ICARC), International conference on

作者： Muditha L. Samarasinghe Amila S. Withanaarachchi Department of Industrial Management University of Kelaniya Kelaniya Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

Social media (SM) has been a crucial medium for influencing Sri Lankan individuals, where financial institutions have increasingly felt the need to adopt SM marketing practices coupled with customer engagement. This study investigates the relationship between SM factors and customer banking decisions mediated by customer trust and satisfaction with their bank(s). The moderating roles of consumers' digital literacy and demographic factors are also examined. The findings confirm SM platforms such as Facebook, Instagram, and LinkedIn make up for the improvement in terms of consumer engagement. Content quality is important when shaping customers' satisfaction and trust levels. Based on the survey, building trust and pleasure with SM banking services rests much on customer digital literacy. A higher level of digital literacy considerably raises the chance of both trusting and using banking services via SM, while demographic characteristics—age, gender, income, and education—also influence consumers' reactions. Younger consumers indicate a higher preference for dynamic and interactive content, while older ones show a preference for security and reliability. These results highlight the need for digital literacy programs and focused communication plans to better satisfy and engage customers using SM banking.

关键词： Surveys Social networking (online) Reviews Banking Digital intelligence Web sites Security Reliability multimedia communication Stress

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A Data-Driven Analysis on the Impact of Instagram on Loneliness, Happiness, and Social Comparison

A Data-Driven Analysis on the Impact of Instagram on Lonelin...

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International Symposium on Advanced computing and Communication (ISACC)

作者： Sushma Acharya Ganga Shreshta Sabina Kumari Saru Amrita Bhandari Shailesh Bahadur Pandey Department of Computer Science and Engineering Everest Engineering College Kathmandu Nepal

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Instagram is an actively used social media platform among the 18-24 age group worldwide. People in this age group are especially vulnerable to mental disorders and suffer health consequences. The paper presents the findings from a data-driven examination of the associations between active and passive uses of Instagram, social comparison, loneliness and happiness among engineering undergraduates in Nepal. Clustering analysis shows that a student with low engagement on Instagram is associated with passive use (browsing feeds), but significant hours scattered throughout the day due to Instagram use. Meanwhile, a student with high engagement spends at least an hour in a single session. Bayesian network analysis finds that Instagram use is independent, and other variables are influenced by it. This supports the hypothesis that Instagram could be shaping psychological experiences and mental health outcomes. We also found that the shaping is modest but significant. Such a modest but potentially significant causal relationship was found between high Instagram use and high levels of social comparisons. Similarly, a potentially important relationship was found between high levels of social comparisons and high levels of loneliness. Our findings support the observation that social comparison orientation plays a mediating role. Interestingly, happiness neither influences nor influenced by the level of Instagram use. In the paper, we detail the computational techniques we have used, present interesting results, and discuss the model’s findings. This research highlights the impact of social media use among undergraduates in a unique cultural context like Nepal, contributing to the limited body of research on social media's influence in South Asia.

关键词： Social networking (online) Mental disorders Pipelines Network analyzers Mental health Bayes methods Web sites multimedia communication Feeds Intelligent systems

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