SCC-PG: Edge Computing for Bringing Smart Services to Under-served Urban Communities

SCC-PG：边缘计算为服务不足的城市社区提供智能服务

• 批准号: 2125354
• 负责人: Umakishore Ramachandran
• 金额: $ 15万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125354&HistoricalAwards=false
• 关键词: SCC; PG; Edge; Computing; Bringing

Today we are entirely dependent on centralized infrastructures (aka Cloud) for pretty much all our everyday activities such as online education, neighborhood apps, access to driving directions, and restaurant suggestions in a neighborhood. This reliance on the Cloud has serious implications. Most importantly it is one of the primary causes for the increasing digital divide between the affluent and under¬served communities. The thesis of this proposal is that such reliance on a centralized infrastructure is the bane of under¬served communities blocking them from reaping the benefits of information services that are available at the fingertips of residents in affluent communities. Ubiquitous availability of low-cost software services that are tailored to the needs of the community and pertinent to the local conditions without reliance on the Cloud are key factors in enhancing the capabilities of such communities. The key hypothesis to be validated through the planning grant is the power of edge computing to address the digital divide and future¬proof these under¬served urban communities. The findings from the planning grant will help reveal feasible technological interventions for future¬proofing under¬served urban communities from the digital divide. There is promise that the results of this research could be replicated elsewhere leading to a positive impact on the lives of under-served communities nation¬wide, if the hypotheses of the larger research vision is validated by the data collection being done through this planning grant.Using the Westside communities of Atlanta as an exemplar for under¬served urban neighborhoods, the planning grant wishes to carry out the following pilots along the technology dimension: (a) edge¬compute based video¬conferencing solutions for the residents of the community (e.g., for meetings of the stakeholders, tutoring help for students, etc.) ; (b) edge¬compute based smart prefetching of content pertinent to the needs of the residents (e.g., entertainment, videos and presentations pertaining to school work, etc.) ; and (c) ad hoc connectivity solutions to bring WiFi hotspots to different neighborhoods. Along the societal dimension, the project will recruit participants (about 30) representing different demographic groups (such as community leaders, teachers, students, mentors, and local residents) for using the technology pilots. The data collection from the user group will consist of: (a) general understanding of the pressing needs of the community; (b) specific requirements of the focus groups for identifying the types of content to be prefetched and/or cached in the edge nodes; and (c) user experience on the technology pilots.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

今天，我们几乎完全依赖着集中式的基础设施（又名云），例如在线教育，邻里应用程序，访问驾驶方向以及在社区中的餐厅建议。对云的这种依赖具有严重的影响。最重要的是，这是情感和服务不足社区之间数字鸿沟增加的主要原因之一。该提案的论点是，对集中式基础设施的这种救济是服务不足的社区的祸根，阻止了他们从影响社区的居民指尖获得的信息服务的好处。无处不在根据社区需求量身定制的低成本软件服务，而与当地条件相关的情况下而不依赖云是增强此类社区能力的关键因素。通过计划赠款验证的关键假设是边缘计算的力量，以解决这些不受欢迎的城市社区的数字鸿沟和未来。规划赠款的发现将有助于揭示可行的技术干预措施，以实现数字鸿沟的未来卫生不足的城市社区。有保证，这项研究的结果可以在其他地方复制，从而对全国范围内服务不足的社区的生活产生积极影响，如果通过此计划赠款进行的数据收集来验证更大的研究愿景的假设。使用亚特兰大的西区社区进行的数据收集。将亚特兰大的西区社区作为一个基于范围的范围的范围，以下是在范围内的范围。为社区居民（例如，用于利益相关者的会议，为学生提供辅导帮助等）的视频会议解决方案； （b）基于边缘尖锐的智能预定与居民需求有关的内容（例如，与学校工作有关的娱乐，视频和演示等）； （c）临时连接解决方​​案，将WiFi热点带到不同的社区。沿着社会层面，该项目将招募代表不同人口组（例如社区领导者，教师，学生，导师和当地居民）的参与者（约30个），用于使用技术手段。用户组的数据收集将包括：（a）对社区紧迫需求的一般理解； （b）焦点小组的特定要求，以识别在边缘节点中预取的内容和/或缓存的内容类型； （c）用户在技术移镜方面的经验。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响评估标准来评估，被认为是珍贵的支持。

项目成果

ClairvoyantEdge: Prescient Prefetching of On-demand Video at the Edge of the Network

• DOI: 10.1109/sec54971.2022.00010
• 发表时间: 2022-12
• 期刊: 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)
• 作者: Manasvini Sethuraman;Anirudh Sarma;Adwait Bauskar;Ashutosh Dhekne;U. Ramachandran