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Enhancing Tourist Experiences in Crowded Destinations through Mobile Augmented Reality: A Comparative Field Study 通过移动增强现实增强拥挤目的地的旅游体验:一个比较的实地研究
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.42273
Mohamed Zaifri, Hamza Khalloufi, Fatima Zahra Kaghat, Abdessamad Benlahbib, Ahmed Azough, Khalid Alaoui Zidani
Mobile augmented reality (MAR) has gained significant attention in the tourism sector as a way to enhance the visitor experience. The rapid advancements in mobile computing and sensor technologies have facilitated the widespread use of geospatial augmented reality (AR) applications by tourists when exploring popular destinations. To analyze the impact of AR technology on the tourism experience, we developed the FEZAR mobile application. This application serves as the focal point of our study, allowing us to evaluate user performance using a comparative experimental approach. To ensure the usability of the FEZAR application, professionals with expertise in mobile technologies, including AR, performed rigorous testing and evaluation of the application. Through their evaluations, significant usability issues were identified and resolved, resulting in the application being well-received by the experts. Subsequently, a comparative field study was conducted in Fez’s old medina, a crowded UNESCO heritage site, involving users (N = 40) who were randomly assigned to experimental and control groups in equal distribution. The results of the study revealed that the proposed AR model had a significant positive impact on user visits. Compared to other forms of media, AR offers more informative and enjoyable experiences. Additionally, it effectively helps locate monuments in crowded tourism settings. The findings of this research make a valuable contribution to the ongoing discussion regarding the impact of evaluating MAR user interfaces on increasing visitor engagement with tourist destinations.
移动增强现实(MAR)作为一种增强游客体验的方式,在旅游领域受到了极大的关注。移动计算和传感器技术的快速发展促进了游客在探索热门目的地时广泛使用地理空间增强现实(AR)应用程序。为了分析AR技术对旅游体验的影响,我们开发了FEZAR移动应用程序。该应用程序是我们研究的重点,允许我们使用比较实验方法来评估用户性能。为了确保FEZAR应用程序的可用性,具有移动技术(包括AR)专业知识的专业人员对应用程序进行了严格的测试和评估。通过他们的评估,发现并解决了重要的可用性问题,从而使应用程序受到专家的好评。随后,在非斯的老麦地那进行了一项比较实地研究,这是一个拥挤的联合国教科文组织遗产,涉及用户(N = 40),他们被随机分配到实验组和对照组。研究结果表明,提出的AR模型对用户访问量有显著的积极影响。与其他形式的媒体相比,增强现实提供了更多的信息和愉快的体验。此外,它还能有效地帮助人们在拥挤的旅游环境中定位古迹。这项研究的结果对正在进行的关于评估MAR用户界面对增加游客与旅游目的地的互动的影响的讨论做出了有价值的贡献。
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引用次数: 0
Data-Driven Insights in Higher Education: Exploring the Synergy of Big Data Analytics and Mobile Applications 高等教育中的数据驱动洞察:探索大数据分析和移动应用的协同作用
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.45037
None Ishamuddin Mustapha, None Vichayanan Rattanawiboonsom, None Ruankwan Intanon
This study explores the potential for transformation that may be achieved via the use of big data analytics and mobile apps in the context of higher education, specifically emphasizing the role of data-driven decision-making. Within the contemporary educational landscape, characterized by the increasing impact of digital technology and mobile devices, institutions of higher education are actively investigating innovative strategies. That enhances effectiveness, customizes learning experiences to suit individual students, and develops overall student accomplishments. The main objective of this research is to examine the effects of incorporating big data analytics and mobile applications into the decision-making capacities of higher education establishments. The PRISMA Statement was used to guide the selection and exclusion of records using the RStudio Biblioshiny approach for data analysis. A comprehensive review of the existing scholarly works, identification of groupings, and study of citation trends within the field. The results and findings illustrate the inherent importance of “big data,” “cloud computing,” “mobile computing,” and “higher education” in the field of research, underscoring their crucial role in data-driven decision-making. Furthermore, the study underscores the significant impact of contemporary technology on administrative processes, personalized learning, and scholastic attainment. This research provides a great addition to the academic field by presenting insightful findings on the substantial influence of big data analytics and mobile applications on the evolution of higher education. This study emphasizes the need to adopt data-driven insights to successfully navigate the ever-changing landscape of higher education.
本研究探讨了通过在高等教育背景下使用大数据分析和移动应用程序可能实现的转型潜力,特别强调了数据驱动决策的作用。在以数字技术和移动设备的影响越来越大为特征的当代教育格局中,高等教育机构正在积极研究创新策略。这提高了效率,定制学习经验,以适应个别学生,并发展学生的整体成就。本研究的主要目的是检验将大数据分析和移动应用程序纳入高等教育机构决策能力的影响。使用RStudio Biblioshiny方法进行数据分析时,使用PRISMA Statement来指导记录的选择和排除。对现有学术著作的全面回顾,对分组的确定,以及对该领域内引用趋势的研究。结果和发现说明了“大数据”、“云计算”、“移动计算”和“高等教育”在研究领域的内在重要性,强调了它们在数据驱动决策中的关键作用。此外,该研究强调了当代技术对行政流程、个性化学习和学业成就的重大影响。这项研究通过对大数据分析和移动应用对高等教育发展的重大影响提出了深刻的发现,为学术领域提供了巨大的补充。这项研究强调了采用数据驱动的见解来成功驾驭不断变化的高等教育格局的必要性。
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引用次数: 0
Effects of Social Media Use on Adolescent Psychological Well-Being: A Systematic Literature Review 社交媒体使用对青少年心理健康的影响:系统文献综述
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.44663
None Nasrullah Dharejo, None Mumtaz Aini Alivi, None Muhammad Saleeh Rahamad, None Xu Jiaqing, None Maria Brony
This study aims to explore the intricate relationship between social media use and the overall well-being (WB) of young people. Previous research has presented conflicting findings, indicating both positive and negative effects of online platforms. Issues such as excessive use, reduced face-to-face interactions, social isolation, heightened stress levels, and disrupted sleep patterns have been identified as potential concerns. However, studies have also highlighted that moderate and mindful use of social media can enhance WB by facilitating social connections and support. It is crucial to consider the vulnerabilities of young individuals when examining this complex topic and provide them with age-appropriate guidance. This research project aims to address gaps in the existing literature and inform strategies for promoting positive online experiences and safeguarding the WB of young people by investigating the association between social media use and affective WB. The review process involved systematically searching for relevant research and evaluating its quality and relevance. The analysis encompassed 111 articles and reviews published between 2013 and 2023. The dataset comprised articles with an average age of 2.76 years and an average of 40.45 citations per article, sourced from 78 journals and other publications. Several variables were examined, including authors, publishers, affiliations, countries, and keywords used in the research articles. The discourse surrounding the benefits and drawbacks of social media use was found to be ongoing. Concerns were raised regarding the potential negative consequences of excessive use, including diminished face-to-face interactions, social isolation, increased stress levels, and sleep disturbances. However, it was also observed that moderate and mindful social media use could positively impact WB by promoting social support and connection. Given the complex nature of the relationship between social media use and WB, it is important to acknowledge the vulnerabilities of young people and provide appropriate assistance and guidance tailored to their age group.
本研究旨在探讨社交媒体使用与年轻人整体幸福感之间的复杂关系。之前的研究提出了相互矛盾的结果,表明在线平台既有积极的影响,也有消极的影响。过度使用、面对面交流减少、社会隔离、压力水平升高和睡眠模式中断等问题已被确定为潜在的问题。然而,研究也强调,适度和有意识地使用社交媒体可以通过促进社会联系和支持来增强WB。在研究这个复杂的话题时,考虑到年轻人的脆弱性并为他们提供适合他们年龄的指导是至关重要的。本研究项目旨在通过调查社交媒体使用与情感WB之间的关系,解决现有文献中的空白,并为促进积极的在线体验和保护年轻人WB提供策略。审查过程包括系统地搜索相关研究并评估其质量和相关性。该分析包括2013年至2023年间发表的111篇文章和评论。该数据集包括平均年龄为2.76年的文章,平均每篇文章被引用40.45次,来自78种期刊和其他出版物。研究人员检查了几个变量,包括作者、出版商、所属机构、国家和研究文章中使用的关键词。研究发现,围绕社交媒体使用的利弊的讨论仍在继续。有人对过度使用手机的潜在负面后果表示关切,包括减少面对面互动、社会孤立、压力水平增加和睡眠障碍。然而,也观察到适度和有意识地使用社交媒体可以通过促进社会支持和联系来积极影响WB。鉴于社交媒体使用与WB之间关系的复杂性,认识到年轻人的脆弱性,并根据他们的年龄组提供适当的帮助和指导是很重要的。
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引用次数: 0
Improved Path Testing Using Multi-Verse Optimization Algorithm and the Integration of Test Path Distance 基于多verse优化算法和测试路径距离集成的改进路径测试
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.37517
Hussam N. Fakhouri, Ahmad K. Al Hwaitat, Mohammad Ryalat, Faten Hamad, Jamal Zraqou, Adi Maaita, Mohannad Alkalaileh, Najem N. Sirhan
Emerging technologies in artificial intelligence (AI) and advanced optimization methodologies have opened up a new frontier in the field of software engineering. Among these methodologies, optimization algorithms such as the multi-verse optimizer (MVO) provide a compelling and structured technique for identifying software vulnerabilities, thereby enhancing software robustness and reliability. This research investigates the feasibility and efficacy of applying an augmented version of this technique, known as the test path distance multiverse optimization (TPDMVO) algorithm, for comprehensive path coverage testing, which is an indispensable aspect of software validation. The algorithm’s versatility and robustness are examined through its application to a wide range of case studies with varying degrees of complexity. These case studies include rudimentary functions like maximum and middle value extraction, as well as more sophisticated data structures such as binary search trees and AVL trees. A notable innovation in this research is the introduction of a customized fitness function, carefully designed to guide TPDMVO towards traversing all possible execution paths in a program, thereby ensuring comprehensive coverage. To further enhance the comprehensiveness of the test, a metric called ‘test path distance’ (TPD) is utilized. This metric is designed to guide TPDMVO towards paths that have not been explored before. The findings confirm the superior performance of the TPDMVO algorithm, which achieves complete path coverage in all test scenarios. This demonstrates its robustness and adaptability in handling different program complexities.
人工智能(AI)的新兴技术和先进的优化方法为软件工程领域开辟了新的前沿。在这些方法中,优化算法(如多域优化器(MVO))为识别软件漏洞提供了一种引人注目的结构化技术,从而增强了软件的健壮性和可靠性。本研究探讨了应用该技术的增强版本,即测试路径距离多元宇宙优化(TPDMVO)算法进行全面路径覆盖测试的可行性和有效性,这是软件验证不可或缺的一个方面。该算法的通用性和鲁棒性通过其应用于不同程度的复杂程度的广泛的案例研究检验。这些案例研究包括基本功能,如最大值和中值提取,以及更复杂的数据结构,如二叉搜索树和AVL树。本研究中一个值得注意的创新是引入了一个定制的适应度函数,该函数经过精心设计,引导TPDMVO遍历程序中所有可能的执行路径,从而确保全面覆盖。为了进一步提高测试的全面性,使用了一个称为“测试路径距离”(TPD)的度量。这一指标旨在引导TPDMVO走向以前从未探索过的道路。研究结果证实了TPDMVO算法的优越性能,在所有测试场景下都实现了完全的路径覆盖。这证明了它在处理不同程序复杂性方面的鲁棒性和适应性。
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引用次数: 0
Revolution in Engineering Education through Android-Based Learning Media for Mobile Learning: Practicality of Mobile Learning Media to Improve Electrical Measuring Skills in the Industrial Age 4.0 基于android的移动学习媒体的工程教育革命:移动学习媒体在工业4.0时代提高电气测量技能的实用性
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.42093
Fivia Eliza, Radinal Fadli, Muhammad Hakiki, Winda Trisnawati, None Abdulah, Yogi Irdes Putra, None Fauziah, Goani Marind, Yayuk Hidayah
This study examines the practicality of Android-based learning media in improving students’ ability to use electrical measuring instruments in the Industrial Revolution 4.0 era. This study adopted a research and development (R&D) approach using the 4D model. The research process involved practical use tests conducted by lecturers and students using a questionnaire that evaluated convenience, time, and usability. The study’s results revealed that learning Android-based media for mobile learning showed a level of practicality that deserved a thumbs up. Aspects of convenience, time, and use all reach a good level of practicality, so they fall into the ‘practical’ category. Based on research findings, using Android-based learning media for mobile learning provides significant benefits to learning through easy access to learning materials, better interactive and practical visualization, efficiency of learning time, and self-evaluation. The benefits received can be added to understanding the use of electrical measuring instruments. However, the Android-based learning media currently being developed has not been integrated with artificial intelligence (AI), so there are still great opportunities for further research into its integration with education.
本研究考察了在工业革命4.0时代,基于android的学习媒体在提高学生使用电气测量仪器能力方面的实用性。本研究采用四维模型的研究与开发方法。研究过程包括由讲师和学生进行的实际使用测试,使用评估便利性、时间和可用性的问卷。研究结果显示,基于android的移动学习媒体显示出一定程度的实用性,值得点赞。方便性、时间、使用等方面都达到了很好的实用性水平,属于“实用”范畴。根据研究发现,使用基于android的学习媒体进行移动学习,通过方便地获取学习材料、更好的交互性和实用性可视化、学习时间的效率和自我评价,为学习带来了显著的好处。所获得的好处可以增加对电气测量仪器使用的理解。然而,目前正在开发的基于android的学习媒体尚未与人工智能(AI)融合,因此其与教育的融合仍有很大的研究机会。
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引用次数: 0
MOOCMaven: Bridging M-Learning and Open Data for Enhanced Unified MOOC Exploration MOOCMaven:连接移动学习和开放数据,增强统一MOOC探索
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.42445
Ahmad Fajar Tatang, Abdullah M. Algarni
We live in a modern environment where learning does not have any barriers. Our work aims to become the main gateway for people of any interest to take advantage of the full opportunities of e-learning. We also built a dataset of e-learning courses from various sources and developed a platform that can understand search queries. We introduce a unified massive open online courses (MOOCs) searching platform using semantic methodology called MOOCMaven. Our platform can be accessed both via web and mobile. This paper demonstrates the platform’s efficiency in generating a list of courses relevant to search queries. Additionally, MOOCMaven offers an application programming interface (API) collection to ensure access to the data. Our approach could find the gaps in e-learning course discovery and highlight the solution to the public. This paper provides a detailed description of the algorithms, methodologies, and technologies utilized to augment the usefulness and efficacy of the platform.
我们生活在一个现代化的环境中,学习没有任何障碍。我们的工作旨在成为任何兴趣的人充分利用电子学习机会的主要门户。我们还从各种来源建立了一个电子学习课程的数据集,并开发了一个可以理解搜索查询的平台。我们介绍了一个统一的大规模在线开放课程(MOOCs)搜索平台,使用语义方法称为MOOCMaven。我们的平台可以通过网络和手机访问。本文演示了该平台在生成与搜索查询相关的课程列表方面的效率。此外,MOOCMaven还提供了一个应用程序编程接口(API)集合,以确保对数据的访问。我们的方法可以发现在线学习课程发现的空白,并向公众突出解决方案。本文提供了算法、方法和技术的详细描述,用于增强平台的有用性和有效性。
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引用次数: 0
The Impact of Social Media on Women's Body Image Perception: A Meta-Analysis of Well-being Outcomes 社交媒体对女性身体形象感知的影响:健康结果的元分析
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.44665
None Xu Jiaqing, None Mumtaz Aini Alivi, None Siti Ezaleila Mustafa, None Nasrullah Dharejo
This study examines the correlation between female body image and social media usage, focusing on the impact it has on overall well-being. The popularity of social networking sites (SNSs) has significantly impacted our digital culture, providing options for self-expression, engagement, and communication. However, SNSs also bring certain drawbacks, such as the potential for body dissatisfaction and negative psychological effects. Gap: While previous research has examined the relationship between social media use and body image, there is a need for a comprehensive analysis that specifically focuses on the effects on female well-being. This study aims to fill the gap by providing a comprehensive exploration of the effects of social media use on female body image and its influence on overall well-being. The objective of this study is to examine the correlation between social media usage and female body image, specifically focusing on the detrimental effects on well-being and mental health. By analyzing academic papers and research findings, this study aims to contribute to the understanding of the intricate relationship between social media, body image, and well-being. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework was used to compile relevant literature. Data from Scopus sources was analyzed using the RStudio 4.2.1-win program. Various factors, such as the publishing year, author details, keywords, and document categories, were considered to identify important patterns and insights. It is recommended that awareness and educational campaigns be developed to promote a healthy body image and address the potential negative consequences of social media use. The analysis significantly contributes to the body of knowledge by offering a thorough examination of the connection between female body image on social media and usage, highlighting the detrimental effects on well-being and mental health.
这项研究调查了女性身体形象与社交媒体使用之间的关系,重点关注它对整体幸福感的影响。社交网站(sns)的流行极大地影响了我们的数字文化,为自我表达、参与和交流提供了选择。然而,社交网站也带来了一定的弊端,比如潜在的身体不满和负面的心理影响。差距:虽然之前的研究已经调查了社交媒体使用和身体形象之间的关系,但有必要对社交媒体对女性健康的影响进行全面的分析。本研究旨在通过全面探索社交媒体使用对女性身体形象的影响及其对整体幸福感的影响来填补这一空白。本研究的目的是研究社交媒体使用与女性身体形象之间的关系,特别是关注对幸福感和心理健康的有害影响。通过分析学术论文和研究成果,本研究旨在帮助理解社交媒体、身体形象和幸福感之间的复杂关系。采用系统评价和荟萃分析(PRISMA)框架的首选报告项目汇编相关文献。使用RStudio 4.2.1-win程序分析来自Scopus源的数据。各种因素,如出版年份、作者详细信息、关键字和文档类别,都被用来确定重要的模式和见解。建议开展提高认识和教育运动,以促进健康的身体形象,并解决使用社交媒体的潜在负面后果。该分析对社交媒体上的女性身体形象与使用之间的联系进行了彻底的研究,突出了对幸福感和心理健康的有害影响,对知识体系做出了重大贡献。
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引用次数: 0
Utilization of Data Science Analytics on Mobile Commerce Applications Marketing Strategies: An Example of the Influence of Personalized Offers on the Usage Intentions of Saudi Consumers 数据科学分析在移动商务应用营销策略中的应用:个性化优惠对沙特消费者使用意图影响的一个例子
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.43455
Nasser Aljohani
The integration of data science plays a vital role in the progression of mobile applications, as it enhances their overall effectiveness and provides users with more benefits. Data science tools have the potential to assist organizations in enhancing their brand marketing endeavors and providing personalized offers, therefore contributing to the overall improvement of consumer acquisition. Consequently, the primary objective of this research was to investigate the influence of the personalized offers aspect on users of mobile commerce applications in Saudi Arabia, in addition to the core elements of the technology acceptance model (TAM). The result of this study indicates that perceived usefulness exhibits the greatest degree of impact in influencing customer attitudes toward usage, with personalized offers following closely. The research further reveals that personalized offers exert a substantial favorable influence on customers’ attitudes towards their use. Additionally, the research reveals that personalized offers significantly influence individuals’ behavioral intentions concerning the use of m-commerce applications. This research offers significant insights that might inform future academic research in the field. Moreover, it provides app developers and enterprises with novel knowledge and comprehension to devise tactics that enhance the ongoing advancement of mobile commerce applications.
数据科学的集成在移动应用程序的发展中起着至关重要的作用,因为它提高了它们的整体效率,并为用户提供了更多的好处。数据科学工具有潜力帮助组织加强他们的品牌营销努力和提供个性化的报价,因此有助于全面提高消费者获取。因此,除了技术接受模型(TAM)的核心要素外,本研究的主要目的是调查个性化优惠方面对沙特阿拉伯移动商务应用程序用户的影响。本研究结果表明,感知有用性在影响顾客使用态度方面表现出最大程度的影响,个性化报价紧随其后。研究进一步表明,个性化优惠对客户使用态度产生了实质性的有利影响。此外,研究表明,个性化服务显著影响个人使用移动商务应用程序的行为意图。这项研究提供了重要的见解,可能会为该领域未来的学术研究提供信息。此外,它为应用程序开发人员和企业提供了新的知识和理解,以制定策略,提高移动商务应用程序的持续进步。
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引用次数: 0
What My Friends Are Up To? The Relationship between Social Media Usage and Fear of Missing Out among Undergraduates 我的朋友们在做什么?大学生社交媒体使用与失落感的关系
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.44757
None Khatiyayini a/p RYoganathan, None Mohd Rustam Mohd Rameli
The social media platform is extremely popular among undergraduate students. Along with the increase in social media usage, phenomena such as the fear of missing out are also becoming more prevalent among this group. It is hypothesized that excessive usage of social media contributes to the psychological decline of undergraduate students. This study aimed to examine the relationship between social media usage and the fear of missing out among undergraduate students. In addition, this study also examined the level of social media usage and the fear of missing out. The study adopted a quantitative approach, specifically a correlational research design. Data were collected from 306 undergraduates at Universiti Teknologi Malaysia using the social networking time use scale and fear of missing out (FOMO) scale instruments to measure social media usage and fear of missing out, respectively. Descriptive analysis revealed that undergraduates have a moderate level of social media usage and a moderate level of fear of missing out. Meanwhile, the inferential analysis revealed a significant positive relationship between the usage of social media and the level of fear of missing out among undergraduates. In conclusion, the study results indicate that social media usage does influence the fear of missing out among undergraduates, although the coefficient was weak.
这个社交媒体平台在大学生中非常受欢迎。随着社交媒体使用的增加,诸如害怕错过的现象在这一群体中也变得越来越普遍。假设过度使用社交媒体会导致大学生的心理衰退。本研究旨在检验大学生社交媒体使用与错过恐惧之间的关系。此外,这项研究还调查了社交媒体的使用水平和对错过的恐惧。本研究采用定量研究方法,特别是相关研究设计。数据来自马来西亚科技大学的306名本科生,分别使用社交网络时间使用量表和错过恐惧量表(FOMO)来衡量社交媒体使用和错过恐惧。描述性分析显示,大学生对社交媒体的使用程度中等,对错过的恐惧程度中等。与此同时,推断分析显示,社交媒体的使用与大学生对错过的恐惧程度之间存在显著的正相关关系。综上所述,研究结果表明,社交媒体的使用确实影响大学生的错过恐惧,尽管系数较弱。
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引用次数: 0
An Energy and Latency Trade-off for Resources Allocation in a MEC System MEC系统中资源分配的能量和延迟权衡
Q2 Computer Science Pub Date : 2023-11-03 DOI: 10.3991/ijim.v17i20.40999
Mohamed El Ghmary, Said Ziani, Tarik Chanyour, Youssef Hmimz
This paper addresses the issue of efficient resource allocation in a Mobile Edge Computing (MEC) system, taking into account the trade-off between energy consumption and operation latency. The increasing deployment of connected devices and data-intensive services in the Internet of Things (IoT) poses significant challenges in terms of managing computational resources. In this study, we propose a MEC system model that considers energy constraints and the need to minimize latency to ensure optimal performance. We formulate the resource allocation problem in terms of a trade-off between energy consumption and latency, and explore solutions based on heuristic task offloading techniques. Our experiments demonstrate that our approach achieves improved latency performance while reducing energy consumption. We also evaluate the impact of various parameters, such as workload and resource availability, on the energy-latency trade-off.
本文讨论了移动边缘计算(MEC)系统中有效的资源分配问题,同时考虑了能耗和操作延迟之间的权衡。物联网(IoT)中越来越多的连接设备和数据密集型服务的部署在管理计算资源方面提出了重大挑战。在本研究中,我们提出了一个MEC系统模型,该模型考虑了能量约束和最小化延迟以确保最佳性能的需要。我们从能量消耗和延迟之间的权衡角度阐述了资源分配问题,并探索了基于启发式任务卸载技术的解决方案。我们的实验表明,我们的方法在降低能耗的同时提高了延迟性能。我们还评估了各种参数(如工作负载和资源可用性)对能量延迟权衡的影响。
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引用次数: 0
期刊
International Journal of Interactive Mobile Technologies
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