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EXPLORE NORTHEASTERN

Ningfang Mi

Associate Professor,  Electrical and Computer Engineering

Contact

Social Media

Office

  • 617.373.3028

Research Focus

Capacity planning; NVMe Flash Memory Devices, MapReduce/Hadoop scheduling; cloud computing; resource management; performance evaluation; workload characterization; simulation

About

Ningfang Mi is an Assistant Professor at the Electrical and Computer Engineering Department at Northeastern University, Boston, MA, since Fall 2009. She obtained her Ph.D. degree in Computer Science from the College of William and Mary, VA in 2009. She received the M.S. degree in Computer Science from the University of Texas at Dallas, TX in 2004 and the B.S. degree in Computer Science from Nanjing University, China, in 2000. Her research interests include storage systems, multi-tier systems, performance evaluation, energy/power management, simulation, data analysis, system modeling, and scheduling/load balancing.

Education

  • PhD, College of William and Mary, 2009

Honors & Awards

  • 2015 NSF CAREER Award
  • IBM Faculty Award
  • Air Force Office of Scientific Research Young Investigator Award

Research Overview

Capacity planning; NVMe Flash Memory Devices, MapReduce/Hadoop scheduling; cloud computing; resource management; performance evaluation; workload characterization; simulation

Department Research Areas

Selected Publications

  • J. Bhimani, N. Mi, Z. Yang, J. Yang, R.Pandurangan, C.Choi, V. Balakrishnan, FIOS: Feature Based I/O Stream Identification for Improving Endurance of Multi-Stream SSDs, 2018 IEEE International Conference on Cloud Computing (CLOUD’18), 2018, (Best Paper Award)
  • J. Bhimani, Z. Yang, N. Mi, J.Yang, Q.Xu, M. Awasthi, R. Pandurangan, V. Balakrishnan, Docker Container Scheduler for I/O Intensive Applications running on NVMe SSDs, IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 2018
  • Z. Yang, M. Hoseinzadeh, P. Wong, J. Artoux, C. Mayers, D.T. Evans, R.T. Bolt, J. Bhimani, N. Mi, S. Swanson, H-NVMe: A Hybrid Framework of NVMe-based Storage System in Cloud Computing Environment , 36th IEEE International Performance Computing and Communications Conference (IPCCC’17), San Diego, CA, 2017. (Best Paper Award)
  • H. Gao, Z. Yang, J. Bhimani, T. Wang, J. Wang, N. Mi, B. Sheng,  AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks, The 26th International Conference on Computer Communications and Networks, Vancouver, Canada, 2017
  • J. Bhimani, N. Mi, M. Leeser, Z. Yang, FiM: Performance Prediction for Parallel Computation in Iterative Data Processing Applications, IEEE International Conference on Cloud Computing, Honolulu, Hawaii, 2017
  • Y. Yao, J. Wang, B. Sheng, C.C. Tan, N. Mi, Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters, IEEE Transactions on Cloud Computing, 5(2), 2017, 344-357

Graduate

Jul 10, 2018

Professor Mi and PhD Students Win Best Paper at IEEE CLOUD 2018

ECE Associate Professor Ningfang Mi and two of her PhD students, Janki Bhimani and Zhengyu Yang, were awarded the 11th IEEE International Conference on Cloud Computing (IEEE CLOUD 2018) Best Paper, “FIOS: Feature Based I/O Stream Identification for Improving Endurance of Multi-Stream SSDs.”

Dec 15, 2017

Associate Professor Mi Awarded $200K Grant from Samsung

ECE Associate Professor Ningfang Mi has been awarded a $200K grant from Samsung Semiconductor, Inc. for a project titled “Dynamic Resource Allocation Scheme for Virtualized Storage with Flash-Memory Resources.”

Students

Dec 14, 2017

Professor Mi and PhD Students Win Best Paper at IPCCC’17

ECE Professor Ningfang Mi and two of her PhD students, Zhengyu Yang and Janki Bhimani, won the best paper award at the 36th IEEE International Performance Computing and Communications Conference (IPCCC’17) in San Diego, California.

Mar 05, 2015

Assistant Professor Ningfang Mi Receives NSF CAREER Award

ECE Assistant Professor Ningfang Mi has been awarded a $459K NSF CAREER Award for her project, Capacity Planning Methodologies for Large Clusters with Heterogeneous Architectures and Diverse Applications.

Jul 31, 2014

Northeastern Engineering announces 8 Young Investigator Awards in 2013-2014

These faculty recognitions bring the total young investigator awards in the college to 39, including 25 NSF CAREER and 10 DOD Young Investigator awards.

Jul 15, 2014

Prof. Ningfang Mi on Predicting the Unpredictable

There’s an almost mythical quality to Professor Ningfang Mi’s work in computing resource management and capacity planning.  Her research aims to revolutionize the behind-the-scenes operations of the Internet and cloud computing to increase quality, improve efficiency, and decrease costs. But in a world with billions of web pages and billions of Internet users, this is […]

Apr 07, 2014

Computing’s invisible challenge

To us, it may not seem like a big deal: CNN’s web­site is taking too long to load. The day’s most pop­ular YouTube video won’t stop buffering. “Twitter is over capacity.” While these little hic­cups in usability may frus­trate end users, they merely scratch the sur­face of the enor­mous tech­nical chal­lenge that’s con­fronting the backend. North­eastern Uni­ver­sity […]

Mar 20, 2014

Congratulations to recipients of the FY15 TIER 1 Interdisciplinary Research Seed Grants

19 COE faculty were recipients of FY15 TIER 1 Interdisciplinary Research Seed Grants for 11 different projects representing over $500K dollars of investment in research.

Jan 29, 2014

Mi Receives $350K Air Force Young Investigator Award

ECE Assistant Professor Ningfang Mi received a $350K Air Force Young Investigator Award to Create An Integrated Management Layer To Administer Heterogeneous Resources in Dynamic Workflow Clusters. The United States Air Force Office of Scientific Research announced this month that Dr. Ningfang Mi will be among the 42 nationwide awardees of this year's prestigious Air […]

Aug 29, 2012

Mi Receives NSF Grant

ECE Assistant Professor Ningfang Mi was awarded a $272K NSF grant to develop techniques to handle software and hardware failures of large scale computing systems. Large-scale computing environments such as data centers and cloud computing are becoming the core computing infrastructure, making the availability of such services extremely critical. However, these environments are increasingly vulnerable […]

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