Homa: An Efficient Topology and Route Management Approach in SD-WAN Overlays D Zad Tootaghaj, F Ahmed, P Sharma, M Yannakakis IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2351-2360, 2020 | 78 | 2020 |
Mitigation and Recovery from Cascading Failures in Interdependent Networks under Uncertainty DZ Tootaghaj, N Bartolini, H Khamfroush, T He, NR Chaudhuri, T La Porta IEEE Transactions on Control of Network Systems, 2018 | 41 | 2018 |
Stochastic modeling and optimization of stragglers F Farhat, DZ Tootaghaj, Y He, A Sivasubramaniam, M Kandemir, CR Das IEEE Transactions on Cloud Computing 6 (4), 1164-1177, 2016 | 34 | 2016 |
Fast network configuration in software defined networking S Achleitner, N Bartolini, T He, T La Porta, DZ Tootaghaj IEEE Transactions on Network and Service Management 15 (4), 1249-1263, 2018 | 26 | 2018 |
Controlling Cascading Failures in Interdependent Networks under Incomplete Knowledge. DZ Tootaghaj, N Bartolini, H Khamfroush, T La Porta The 36th IEEE International Symposium on Reliable Distributed Systems (SRDS), 2017 | 24 | 2017 |
Game-theoretic approach to mitigate packet dropping in wireless ad-hoc networks DZ Tootaghaj, F Farhat, MR Pakravan, MR Aref 2011 IEEE Consumer Communications and Networking Conference (CCNC), 163-165, 2011 | 21 | 2011 |
Evaluating the combined impact of node architecture and cloud workload characteristics on network traffic and performance/cost DZ Tootaghaj, F Farhat, M Arjomand, P Faraboschi, MT Kandemir, ... 2015 IEEE International Symposium on Workload Characterization, 203-212, 2015 | 20 | 2015 |
Proactively accomodating predicted future serverless workloads using a machine learning prediction model DZ Tootaghaj, J Cho, P Sharma US Patent 11,394,621, 2022 | 15 | 2022 |
On progressive network recovery from massive failures under uncertainty DZ Tootaghaj, N Bartolini, H Khamfroush, T La Porta IEEE Transactions on Network and Service Management 16 (1), 113-126, 2018 | 15 | 2018 |
Parsimonious Tomography: Optimizing Cost-Identifiability Trade-off for Probing-based Network Monitoring DZ Tootaghaj, T He, T La Porta ACM SIGMETRICS Performance Evaluation Review 45 (2), 107-110, 2018 | 14 | 2018 |
Network Recovery from Massive Failures under Uncertain Knowledge of Damages DZ Tootaghaj, H Khamfroush, N Bartolini, S Ciavarella, S Hayes, ... IFIP Networking, 2017 | 14 | 2017 |
Sla-driven ml inference framework for clouds with heterogeneous accelerators J Cho, D Zad Tootaghaj, L Cao, P Sharma Proceedings of Machine Learning and Systems 4, 20-32, 2022 | 13 | 2022 |
Modeling and optimization of straggling mappers F Farhat, DZ Tootaghaj, A Sivasubramaniam, MT Kandemir, CR Das Pennsylvania State Univ., State College, PA, Tech. Report CSE-14–006, 2014 | 10 | 2014 |
Risk of attack coefficient effect on availability of ad-hoc networks DZ Tootaghaj, F Farhat, MR Pakravan, MR Aref 2011 IEEE Consumer Communications and Networking Conference (CCNC), 166-168, 2011 | 7 | 2011 |
eCaaS: A management framework of edge container as a service for business workload L Cao, A Merican, DZ Tootaghaj, F Ahmed, P Sharma, V Saxena Proceedings of the 4th International Workshop on Edge Systems, Analytics and …, 2021 | 6 | 2021 |
High five: improving gesture recognition by embracing uncertainty DZ Tootaghaj, A Sampson, T Mytkowicz, KS McKinley arXiv preprint arXiv:1710.09441, 2017 | 6 | 2017 |
Optimal placement of cores, caches and memory controllers in network on-chip DZ Tootaghaj, F Farhat arXiv preprint arXiv:1607.04298, 2016 | 6 | 2016 |
Partial discharge source classification and de-noising in rotating machines using discrete wavelet transform and directional coupling capacitors MA Kashiha, DZ Tootaghaj, D Djamshidi 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific, 1-4, 2009 | 6 | 2009 |
Directing queries to nodes of a cluster of a container orchestration platform distributed across a host system and a hardware accelerator of the host system DZAD TOOTAGHAJ, A Mercian, V Adarsh, P Sharma US Patent 11,436,054, 2022 | 5 | 2022 |
Proactively accomodating predicted future serverless workloads using a machine learning prediction model and a feedback control system DZ Tootaghaj, J Cho, P Sharma US Patent 11,303,534, 2022 | 5 | 2022 |