课题基金 / 基金详情

CNS Core: Small: Collaborative: Coalescent Computing - New Theory, Mechanism and Platform for Adaptive Edge Computing

CNS Core: Small: Collaborative: Coalescent Computing - New Theory, Mechanism and Platform for Adaptive Edge Computing
CNS 核心:小型:协作:合并计算 - 自适应边缘计算的新理论、机制和平台
批准号:
1909177
负责人:
Zhichao Cao
金额:
$21.17万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2022-09-30

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中文摘要
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英文摘要
By moving computation to the edge of the Internet, the emerging edge computing model promises to reduce application response time, improve user experience, save bandwidth cost, and enhance data privacy. This project will establish a new edge-computing theory called coalescent computing, where each application program runs on an integrated virtual computing system, consisting of resources from both edge devices and the cloud, which jointly support application execution according to run-time conditions. The proposed research will establish a novel framework of edge-cloud resource sharing, explore various implementation mechanisms, deploy a hardware platform for experimental studies, develop software tools to transform existing applications to their coalescent-computing versions, and carry out two case studies. Its objective is to enable user applications to seamlessly overcome the resource limitation of edge devices, while keeping the benefits of low response time, communication reduction, and data privacy that edge computing promises.This work addresses the pressing need for a generic theory of adaptive edge computing, with concrete implementation mechanisms that allow existing applications to take advantage of edge computing without complete re-design. The proposed coalescent-computing framework and its software tools offer a convenient way of transforming existing application code into distributed software with enhanced performance, response time, robustness and scalability, which all contribute to better user experience. The integrated theoretical and experimental research will advance our understanding of modern edge-computing systems. All software tools developed from this project will be made open-source to help stimulate other related research. The project also includes an education plan that introduces edge computing into undergraduate/graduate courses, recruits from under-represented student groups, and helps in club activities at the local high school.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.
期刊论文(11)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3494673
发表时间: 2023-04-01
期刊: ACM COMPUTING SURVEYS
影响因子: 16.6
作者: [Li, Chenning, Cao, Zhichao]
通讯作者: Cao, Zhichao
NEC: Speaker Selective Cancellation via Neural Enhanced Ultrasound Shadowing
NEC:通过神经增强超声阴影进行扬声器选择性消除
DOI: 10.1109/dsn53405.2022.00044
发表时间: 2022
期刊: 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN
影响因子: --
作者: [Guo, Hanqing, Li, Chenning, Li, Lingkun, Cao, Zhichao, Yan, Qiben, Xiao, Li]
通讯作者: Xiao, Li
DOI: 10.1109/icnp55882.2022.9940375
发表时间: 2022-10
期刊: 2022 IEEE 30th International Conference on Network Protocols (ICNP)
影响因子: --
作者: [Yidong Ren;Li Liu;Chenning Li;Zhichao Cao;Shigang Chen]
通讯作者: Yidong Ren;Li Liu;Chenning Li;Zhichao Cao;Shigang Chen
DOI: 10.1109/infocom42981.2021.9488784
发表时间: 2021-05
期刊: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
影响因子: --
作者: [Li Liu;Yuguang Yao;Zhichao Cao;Mi Zhang]
通讯作者: Li Liu;Yuguang Yao;Zhichao Cao;Mi Zhang
9
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