[Ting Dai]


I am a fourth year PhD student in Computer Science at North Carolina State University.
My advisor is Prof. Xiaohui (Helen) Gu. I am a member of DANCE (Distributed system research on Autonomy, resilieNce, Collaboration, and Energy) Group.
My general research interests are in the areas of systems, with a current focus on applying static code analysis and machine learning techniques on cloud computing and system reliability.

I received my Master degree in 2014 and Bachelor degree in 2011 from Nanjing University of Posts and Telecommunications, China.

CCM: Cloud Configuration Management System for Elastic Application Deployment in Private Clouds

01/2015-08/2015 01/2016-08/2016 Credit Suisse NC State

Cloud infrastructures and distributed applications become increasingly complex. We are thirsting for an easy-to-use cloud application deployment tool. This tool needs elasticity for dynamic environments, e.g., support geographically distributed hosts, well-handle cloud system anomalies, and dynamically balance workloads.
The CCM project aims to present this exactly easy-to-use application deployment tool. It has automatic component composition and instantiation. More importantly, it has an elastically auto-scaling mechanism to handle overload conditions, resource contentions, and system anomalies.

Openstack Docker Apache ZooKeeper cAdvisor
Java Python Shell Script

DScope: Detecting Real-World Data Corruption Hang Bugs in Cloud Server Systems
Ting Dai, Jingzhu He, Xiaohui Gu, Shan Lu, and Peipei Wang
Proc. of ACM Symposium on Cloud Computing, Carlsbad, CA, October, 2018 (accepted).
[to appear]
TScope: Timeout Bug Detection on Cloud Server Systems
Jingzhu He, Ting Dai, and Xiaohui Gu
Proc. of IEEE International Conference on Autonomic Computing, Trento, Italy, September, 2018 (accepted).
[to appear]
Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures
Ting Dai, Daniel Dean, Peipei Wang, Xiaohui Gu, and Shan Lu
IEEE Transactions on Parallel and Distributed Systems, 2018 (accepted).
[to appear]
Understanding Real-World Timeout Problems in Cloud Server Systems
Ting Dai, Jingzhu He, Xiaohui Gu, and Shan Lu
Proc. of IEEE International Conference on Cloud Engineering, Orlando, FL, April, 2018.
[PDF] Best paper nominee
Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures
Ting Dai, Daniel Dean, Peipei Wang, Xiaohui Gu, and Shan Lu
Proc. of ACM Symposium on Cloud Computing, poster session, Santa Clara, CA, September, 2017.
J. Sensors'16
An Improved μTESLA Protocol Based on Queuing Theory and Benaloh-Leichter SSS in WSNs
Haiping Huang, Tianhe Gong, Tao Chen, Mingliang Xiong, Xinxing Pan, and Ting Dai
Journal of Sensors, Vol. 2016, Article ID 9021650, 13 pages, 2016.
M.E. Thesis'14
Research on Broadcast Authentication Protocols and Intrustion Detection in Wireless Sensor Networks (in Chinese)
Research on Migration Strategy of Mobile Agent in Wireless Sensor Networks
Ting Dai, Haiping Huang, Yang Lu, Ruchuan Wang, and Xinxing Pan
International Journal of Distributed Sensor Networks, Vol. 2013, Article ID 642986, 13 pages, 2013.
A Novel Self-Renewal Hash Chain Scheme based on (t, n)-Threshold and Division Tree (in Chinese)
基于(t, n)门限和划分树的可再生散列链构造方案
Haiping Huang, Ting Dai, Ruchuan Wang, Xiaolin Qin, and Jiutian Chen
Journal of Communications, Vol. 34, No. 4, pp. 70-81, Apr. 2013.
Novel self-renewal Hash Chain based on Ito-Saito-Nishizeki secret sharing scheme
Ting Dai, Haiping Huang, Ruchuan Wang, and Xinxing Pan
The Journal of China Universities of Posts and Telecommunications, Vol. 19(Suppl. 2), pp. 122-127, Oct. 2012.
Simulation of the Park Behaviors in a Shopping Mall of Dalian
Li Liu, Ting Dai, Yi Dou, Haiping Huang, Junjie Huang, and Ning Ye
Advanced Material Research, Vol. 317-319, pp. 2133-2137, Aug. 2011.
NC State University
Research Assistant Summer 2015-Spring 2016 Fall 2016-Spring 2018
Teaching Assistant Fall 2014-Spring 2015
TPDS reviewer Spring 2017

Graduate Intern Summer 2018

Software Engineer Intern Summer 2016

Thanks to Font Awesome, Ionicons, Academicons, Social Buttons for Bootstrap, Social Buttons for Twitter Bootstrap for providing excellent fonts, logos and buttons.
Thanks to HTML Color Codes for providing great color codes, and Google Developers for providing detailed event tracking explanation.