Postdoctoral Researcher
Hewlett Packard Labs
PhD '18 Pennsylvania State University
Areas of Interest
- Operating Systems and Networking
- Theory
- Network Optimization
Poster
Modeling, Monitoring and Scheduling Techniques for Network Recovery from Massive Failures
Abstract
Large-scale failures in communication networks due to natural disasters or malicious attacks can severely affect critical communications and threaten lives of people in the affected area. In the absence of a proper communication infrastructure, rescue operation becomes extremely difficult. Progressive and timely network recovery is, therefore, a key to minimizing losses and facilitating rescue missions. To this end, my research work focuses on network recovery assuming partial and uncertain knowledge of the failure locations. I propose a progressive multi-stage recovery approach that uses the incomplete knowledge of failure to find a feasible recovery schedule. Next, I focus on failure recovery of multiple interconnected networks. In particular, I focus on the interaction between a power grid and a communication network. Then, I focus on network monitoring techniques that can be used for diagnosing the performance of individual links for localizing soft failures (e.g. highly congested links) in a communication network. I studied the optimal selection of the monitoring paths to balance identifiability and probing cost. Finally, I address, a minimum disruptive routing frame- work in software defined networks. Extensive experimental and simulation results show that my proposed recovery approaches have a lower disruption cost compared to the state-of-the-art while we can configure our choice of trade-off between the identifiability, execution time, the repair/probing cost, congestion and the demand loss.
Bio
Diman Zad-Tootaghaj is a postdoc/researcher at Hewlett Packard Labs in Palo Alto, California. She works on Network Recovery and Optimization, Software-Defined Network solutions in Wide Area Networks (SD-WAN), Serverless Computing, Edge as a Service, Optimization algorithms and Consensus protocols. She earned her PhD in Computer Science and Engineering at Pennsylvania State University. Prior to Penn State, she got her B.Sc degree in Electrical Engineering at Sharif University of Technology, Iran. During her PhD, she was working in the Institute for Networking and Security Research (INSR) and Network Sciences Research Group (NSRG) under supervision of Prof. Thomas La Porta (advisor), Dr. Ting He (co-advisor), and Dr. Novella Bartolini.
Her research area is computer networks, stochastic analysis, operating system, and parallel computing. She graduated from Sharif University of technology, with MSc. in Electrical Engineering. Her work has appeared in top-tier conferences in computer networking, including IEEE INFOCOM, ACM SIGMETRICS Performance Evaluation Review, both premier and highly competitive conference venues, as well as IEEE/ACM Transactions on Network and Service Management, IEEE Transactions on Control of Network Systems, and IEEE transaction on Cloud Computing. Diman is the recipient of College of Engineering Fellowship in the Pennsylvania State University in 2012 and 2018. She has served on the technical program committee of IEEE ICNP, IEEE ICDCS, USENIX HotCloud, IEEE ASPLOS and IEEE GLOBECOM, and as reviewer for many prestigious Journals and Conferences including IEEE TON, IEEE Transactions on Communications, and Elsevier COMNET. Diman was on the N2Women board as a Website Co-chair in 2018-2020.
