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，我们几乎所有的日常活动都完全依赖于集中式基础设施(又名云)，如在线教育、社区应用程序、获取驾驶方向和社区内的餐厅建议。这种对云的依赖具有严重的影响。最重要的是，这是富裕社区和受服务社区之间日益扩大的数字鸿沟的主要原因之一。这项提议的主题是，这种对集中式基础设施的依赖是缺乏服务的社区的祸害，这些社区阻止他们获得富裕社区居民指尖上的信息服务的好处。无处不在的低成本软件服务是增强此类社区能力的关键因素，这些服务根据社区的需求量身定做，并与当地条件相关，而不依赖云。需要通过规划拨款验证的关键假设是边缘计算的能力，以解决数字鸿沟，并为这些得到服务的城市社区提供未来保障。规划拨款的结果将有助于揭示可行的技术干预措施，以防止未来受到数字鸿沟的城市社区的影响。这项研究的结果有望在其他地方复制，从而对全国范围内未得到充分服务的社区的生活产生积极影响，如果通过该规划拨款进行的数据收集验证了更大研究愿景的假设。将亚特兰大西区社区作为得到充分服务的城市社区的样板，规划拨款希望在技术层面开展以下试点：(A)为社区居民提供基于边缘计算机的视频会议解决方案(例如，用于利益相关者会议，为学生提供辅导帮助，等);(B)基于边缘计算的智能预取与居民需求相关的内容(例如，与学校作业有关的娱乐、视频和演示文稿等);以及(C)将WiFi热点带到不同社区的特别连接解决方案。在社会层面，该项目将招募代表不同人口群体(如社区领导人、教师、学生、导师和当地居民)的参与者(约30人)来使用技术试点。从用户组收集的数据将包括：(A)对社区;迫切需求的总体了解；(B)焦点组确定要在边缘节点;中预取和/或缓存的内容类型的具体要求；以及(C)技术试点的用户体验。该奖项反映了国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，认为值得支持。

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