MRI: Acquisition of Cloud Computing Infrastructure for Science and Engineering Research Innovations

MRI：收购云计算基础设施以促进科学和工程研究创新

• 批准号: 1828380
• 负责人: Ajay Katangur
• 金额: $ 51.77万
• 依托单位: Texas A&M University Corpus Christi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828380&HistoricalAwards=false
• 关键词: MRI; Acquisition; Cloud; Computing; Infrastructure

This award provides for the acquisition of the Island Science and Engineering Research Cloud (ISERC). ISERC will support major innovative research at Texas A&M University-Corpus Christi (TAMUCC) and other institutions in South Texas. ISERC is an ideal base to tackle a multitude of research problems of regional, national and global significance by providing high capacity computing resources to empower science and engineering research. ISERC enabled projects include geospatial analytics, coastal resiliency, ecology, genomics, bio-informatics, environmental monitoring, health, geology, water resource management, remote sensing, unmanned systems, agriculture, and climate prediction. This research will have impact on the environmental sustainability, health and economic well-being of coastal communities across the globe. The instrument will be used by approximately 100 researchers comprising faculty, graduate and undergraduate students. It is estimated that, each year, more than 300 students enrolled in STEM related courses would also benefit from it.ISERC supports heterogeneous computing environments with low-latency, high-bandwidth, high computational power, and storage for large data sets. It provides users with a dynamically scalable, robust, heterogeneous, and virtualized architecture. By allowing confidential and secure execution of guest virtual machines, it ensures the privacy and security of data. The new cloud instrument can handle a wide variety of services simultaneously, including ones for real-time, compute-bound, as well as data intensive applications. Some of the major projects that are poised to commence include: hyper-spatial 3D data streams for coastal resiliency, high throughput phenotyping for agriculture, social media data analytics for security, cloud data migration, seagrass genetics, biomimetic catalysis, climate impact on water resources, genome sequencing, and predicting environmental factors for respiratory diseases. ISERC will propel the academic community's knowledge generation and provide research opportunities that will enable many further follow-up projects, including multi-institutional and cross-disciplinary collaborations.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.

该奖项用于收购岛屿科学与工程研究云（ISERC）。 ISRC 将支持德克萨斯农工大学科珀斯克里斯蒂分校 (TAMUCC) 和南德克萨斯州其他机构的重大创新研究。 ISRC 是解决众多具有区域、国家和全球意义的研究问题的理想基地，通过提供高容量计算资源来增强科学和工程研究的能力。 ISRC 支持的项目包括地理空间分析、沿海防灾、生态学、基因组学、生物信息学、环境监测、健康、地质学、水资源管理、遥感、无人系统、农业和气候预测。这项研究将对全球沿海社区的环境可持续性、健康和经济福祉产生影响。该仪器将由大约 100 名研究人员（包括教师、研究生和本科生）使用。据估计，每年有超过300名注册STEM相关课程的学生也将从中受益。ISERC支持低延迟、高带宽、高计算能力和大数据集存储的异构计算环境。它为用户提供了动态可扩展、健壮、异构和虚拟化的架构。通过允许来宾虚拟机机密且安全地执行，它确保了数据的隐私和安全。新的云仪器可以同时处理多种服务，包括实时、计算密集型以及数据密集型应用程序的服务。即将启动的一些主要项目包括：用于沿海恢复能力的超空间3D数据流、农业高通量表型分析、用于安全的社交媒体数据分析、云数据迁移、海草遗传学、仿生催化、气候对水资源的影响、基因组测序以及预测呼吸道疾病的环境因素。 ISRC 将推动学术界的知识生成并提供研究机会，从而实现许多进一步的后续项目，包括多机构和跨学科合作。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Priority Weighted Round Robin Algorithm for Load Balancing in the Cloud

用于云中负载均衡的优先级加权循环算法

• DOI: 10.1109/smartcloud55982.2022.00044
• 发表时间: 2022
• 期刊: 2022 IEEE 7th International Conference on Smart Cloud (SmartCloud
• 作者: Katangur, Ajay;Akkaladevi, Somasheker;Vivekanandhan, Sadiskumar
• 通讯作者: Vivekanandhan, Sadiskumar

Autonomous Surface Vehicle energy-efficient and reward-based path planning using Particle Swarm Optimization and Visibility Graphs

• DOI: 10.1016/j.apor.2022.103125
• 发表时间: 2022-03-23
• 期刊: APPLIED OCEAN RESEARCH
• 影响因子: 4.3
• 作者: Krell, Evan;King, Scott A.;Carrillo, Luis Rodolfo Garcia
• 通讯作者: Carrillo, Luis Rodolfo Garcia

Importance of 3D convolution and physics on a deep learning coastal fog model

• DOI: 10.1016/j.envsoft.2022.105424
• 发表时间: 2022-05
• 期刊: Environ. Model. Softw.
• 作者: Hamid Kamangir;Evan Krell;Waylon Collins;Scott A. King;P. Tissot

Threshold Based Load Balancing Algorithm in Cloud Computing

• DOI: 10.1109/jcc56315.2022.00011
• 发表时间: 2022-08
• 期刊: 2022 IEEE International Conference on Joint Cloud Computing (JCC)
• 作者: Shusmoy Chowdhury;Ajay Katangur