CSR: Small: Collaborative Research: Scalable Fine-Grained Cloud Monitoring for Empowering IoT

CSR：小型：协作研究：支持物联网的可扩展细粒度云监控

基本信息

批准号：
1615411
负责人：
Ali Butt
金额：
$ 25.8万
依托单位：
Virginia Polytechnic Institute and State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-15 至 2020-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1615411&HistoricalAwards=false
关键词：
CSR Small Collaborative Research Scalable

项目摘要

We are in the age of unprecedented connectivity, where everything from computers, buildings, vehicles, medical devices, to even animals is being equipped to interact with each other by exchanging data over the Internet. This massively connected world, referred to as the Internet of Things (IoT), will play a crucial role in enabling never-before-seen computing services such as self-driving cars and personalized health care, consequently improving the quality of life. A key enabler for IoT is the cloud computing model that is already transforming computing in academia, enterprise, and the IT industry by enabling easy and on-demand access to computing resources and services at reasonable cost. Most current and future IoT applications cannot function without the infrastructure provided by cloud computing serving as the brain for controlling and processing the data from the IoT network. Thus, there is an urgent need for ensuring that the data centers that support the cloud services can sustain the ever-growing IoT needs, while maintaining high quality of services and meeting service level agreements. To this end, this project aims to undertake the fundamental task of collecting and detailed fine-grained monitoring of the health and usage statistics of rapidly growing data centers, and addresses the challenges therein.Fine-grained data center monitoring entails that the cloud providers have to acquire, transport, store, and process exponentially increasing amount of management and monitoring data. With the amount of such data increasing at an unexampled rate of over 10 billion+ records per day, conventional acquisition and transportation schemes are no longer sufficient and efficient to handle the data tsunami. This project aims to address the problem of efficiently acquiring and transporting cloud management and monitoring data. For data it will focus on efficiently moving the data from the points it is collected inside the data center to the points where it needs to be stored for processing. Successful completion will result in tools that cloud providers can use to monitor their data centers and obtain measurements useful to predict and/or localize performance bottlenecks. Finally, the educational and outreach goals of this project include training the next-generation computer scientists with skills to manage and design innovative IoT applications and systems.

我们正处于前所未有的互联时代，从计算机、建筑物、车辆、医疗设备，甚至动物，一切都可以通过互联网交换数据来相互交互。这个被称为物联网 (IoT) 的大规模互联世界将在实现前所未有的计算服务（例如自动驾驶汽车和个性化医疗保健）方面发挥至关重要的作用，从而提高生活质量。物联网的关键推动者是云计算模型，该模型已经通过以合理的成本轻松按需访问计算资源和服务，正在改变学术界、企业和 IT 行业的计算。如果没有云计算提供的基础设施作为控制和处理物联网网络数据的大脑，大多数当前和未来的物联网应用程序就无法运行。因此，迫切需要确保支持云服务的数据中心能够满足不断增长的物联网需求，同时保持高质量的服务并满足服务水平协议。为此，该项目旨在承担收集和详细细粒度监控快速增长的数据中心的健康和使用统计数据的基本任务，并解决其中的挑战。细粒度数据中心监控要求云提供商获取、传输、存储和处理呈指数级增长的管理和监控数据。随着此类数据量以每天超过 100 亿条记录的前所未有的速度增长，传统的采集和传输方案已不足以有效地应对数据海啸。该项目旨在解决云管理和监控数据的高效获取和传输问题。对于数据，它将专注于有效地将数据从数据中心内收集的点移动到需要存储以进行处理的点。成功完成后，云提供商可以使用工具来监控其数据中心并获得有助于预测和/或定位性能瓶颈的测量结果。最后，该项目的教育和推广目标包括培训下一代计算机科学家，使其具备管理和设计创新物联网应用程序和系统的技能。

项目成果

期刊论文数量（14）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

An Integrated Indexing and Search Service for Distributed File Systems

分布式文件系统的集成索引和搜索服务

DOI：
10.1109/tpds.2020.2990656
发表时间：
2020-10
期刊：
IEEE Transactions on Parallel and Distributed Systems
影响因子：
5.3
作者：
Sim, Hyogi;Khan, Awais;Vazhkudai, Sudharshan S.;Lim, Seung;Butt, Ali R.;Kim, Youngjae
通讯作者：
Kim, Youngjae

MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems

MARBLE：用于 HPC 系统上深度学习的多 GPU 感知作业调度程序

DOI：
发表时间：
2020-01
期刊：
Cloud and Internet Computing (CCGrid
影响因子：
0
作者：
Han, Jingoo;Rafique, Mustafa M;Xu, Luna;Butt, Ali R.;Lim, Seung;Vazhkudai, Sudharshan S.
通讯作者：
Vazhkudai, Sudharshan S.

Customizable Scale-Out Key-Value Stores

可定制的横向扩展键值存储

DOI：
10.1109/tpds.2020.2982640
发表时间：
2020-09
期刊：
IEEE Transactions on Parallel and Distributed Systems
影响因子：
5.3
作者：
Anwar, Ali;Cheng, Yue;Huang, Hai;Han, Jingoo;Sim, Hyogi;Lee, Dongyoon;Douglis, Fred;Butt, Ali R.
通讯作者：
Butt, Ali R.

CSLIM: Automated Extraction of IoT Functionalities from Legacy C Codebases

CSLIM：从遗留 C 代码库中自动提取 IoT 功能

DOI：
发表时间：
2019-01
期刊：
Proceedings of the 8th International Workshop on Computing and Networking for IoT and Beyond (ComNet-IoT '19
影响因子：
0
作者：
Sim, Hyogi;Paul, Arnab K.;Tilevich, Eli;Butt, Ali R.;Shahzad, Muhammad
通讯作者：
Shahzad, Muhammad

iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems

iez：大规模并行文件系统的资源争用感知负载平衡

DOI：
发表时间：
2019-05
期刊：
Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS
影响因子：
0
作者：
Wadhwa, Bharti;Paul, Arnab K.;Neuwirth, Sarah;Wang, Feiyi;Oral, Sarp;Butt, Ali R.;Bernard, Jon;Cameron, Kirk
通讯作者：
Cameron, Kirk

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Ali Butt其他文献

Vaccines against chicken coccidiosis with particular reference to previous decade: progress, challenges, and opportunities

鸡球虫病疫苗，特别是过去十年：进展、挑战和机遇

DOI：
10.1007/s00436-022-07612-6
发表时间：
2022-10
期刊：
Parasitology Research
影响因子：
2
作者：
Tean Zaheer;R. Z. Abbas;Muhammad Imran;A. Abbas;Ali Butt;Sarfraz Aslam;Jameel Ahmad
通讯作者：
Jameel Ahmad