Research Fellow
Mahshid Mehrabi is a Ph.D. student at the “Deutsche Telekom Chair of Communication Networks” at TU Dresden, working on the EU project SECRET. She has been working with the chair since March 2018. She received her Bachelor and Master Degree in Electrical Engineering from Zanjan and Amirkabir university of technology (Tehran polytechnic), respectively. During her Master period, she developed deep interests in research on Wireless Communication Networks. Currently, she is pursuing her PhD on the topic of Mobile Edge Computing (MEC) at TU Dresden and her main interests are offloading schemes and content caching. She served as a reviewer for different conferences and journals including IEEE Communications Surveys and Tutorials and IEEE Communications Standards Magazine.
Phone: +49 351 463-32234 Email: Mahshid.Mehrabi@tu-dresden.de
Open Topics
Student Thesis
Diploma Thesis
Vincent Latzko; Christian Leonard Vielhaus; Mahshid Mehrabi; Frank H. P. Fitzek
Accelerator-Aware Computation Offloading under Timing Constraints Proceedings Article
In: 2024 International Conference on Computing, Networking and Communications (ICNC): Edge Computing, Cloud Computing and Big Data (ICNC'24 ECB), pp. 5, Big Island, USA, 2024.
Abstract | BibTeX
@inproceedings{Latzko2402:Accelerator, title = {Accelerator-Aware Computation Offloading under Timing Constraints}, author = {Vincent {Latzko} and Christian Leonard {Vielhaus} and Mahshid {Mehrabi} and Frank H. P. {Fitzek}}, year = {2024}, date = {2024-02-19}, urldate = {2024-02-01}, booktitle = {2024 International Conference on Computing, Networking and Communications (ICNC): Edge Computing, Cloud Computing and Big Data (ICNC'24 ECB)}, pages = {5}, address = {Big Island, USA}, abstract = {The rise of chiplets in personal and high performance computing is mirrored in System on Chip (SOC) in mobile devices. Both paradigms allow vendors and designers to integrate dedicated circuitry for accelerating computation. Implementations like cryptographic or vector engines are well known, and nowadays Machine Learning (ML) blocks are often included to accelerate Deep Neural Network (DNN) inference. The shift toward diverse device architectures, as exemplified by RISC-V, is poised to gain momentum. The widespread integration of accelerators in smartphones, tablets, SoCs, and dedicated server systems, is opening up exciting new innovations. In this short paper we present computation offloading for specific workloads in the framework of Multi-Access Edge Computing (MEC) and energy optimisation. We honour inter- task dependency through use of a Directed Acyclic Graph (DAG). Our system model with multiple mobile users, Device- to-Device (D2D) links between User Equipments (UEs), and edge servers enables computational and communication cooperation. The system's energy efficiency is significantly improved by introducing accelerators to the UEs and the MEC. We study the capabilities of the devices (accelerators) and propose an effective solution.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Close
Vincent Latzko; Zhenzhen Jia; Christian Leonard Vielhaus; Mahshid Mehrabi; Frank H. P. Fitzek
Experiment as Code - An Automated Testbed for Cloud Scaling and Operations Proceedings Article
In: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), pp. 5, Mahe, Seychelles, 2024.
Abstract | Links | BibTeX
@inproceedings{Latzko2402:Experiment_as_Code, title = {Experiment as Code - An Automated Testbed for Cloud Scaling and Operations}, author = {Vincent {Latzko} and Zhenzhen {Jia} and Christian Leonard {Vielhaus} and Mahshid {Mehrabi} and Frank H. P. {Fitzek} }, doi = {10.1109/ACDSA59508.2024.10468018}, year = {2024}, date = {2024-02-01}, urldate = {2024-02-01}, booktitle = {International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)}, pages = {5}, address = {Mahe, Seychelles}, abstract = {Cloud Computing has been widely adopted in industry, administrations, as well as research. At the same time, development and testing of new technologies is troubled by inconsistent environments. Exchanging modules of a system during research becomes a major obstacle. As a result, baselines for comparisons are lacking, and evaluating new developments may lead to heavy time cost. Big industrial players typically circumvent this problem by relying on the scale of their datacenters, experiments, and problems, which makes them inherently interesting. We propose a softwarised testbed that abstracts away inevitable hardware differences. Its design closely follows the established philosophy to separate workloads and declare expressive interfaces between them. The result is a coherent testbed, consisting of interchangeable, but state of the art, components. It establishes Experiment-as-Code, where an experiment is declared to load generators programmatically. In sum, the testbed yields reproducible results. We verify networking, computational and interacting components by reproducing known results. We illustrate one use case of scaling under uncertainty the applicability for research. The whole system is hosted on-premise, with minimal hardware requirements, which enables especially academia to contribute. The low-effort in setup also allows handover to students and staff with the goal to ensure knowledge transfer.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Analysing and Learning Low-Latency Network Coding Schemes Proceedings Article
In: International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Montreal, Canada, 2023.
@inproceedings{Latz2306:Analysing, title = {Analysing and Learning Low-Latency Network Coding Schemes}, author = {Vincent {Latzko} and Christian Leonard {Vielhaus} and Mahshid {Mehrabi} and Frank H. P. {Fitzek}}, doi = {10.1109/WiMob58348.2023.10187820}, year = {2023}, date = {2023-07-26}, urldate = {2023-06-20}, booktitle = {International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)}, address = {Montreal, Canada}, abstract = {Forward Error Correction (FEC) has become an integral part of communication technology to address expected losses during transfer of data. Among various layer three block codes, Random Linear Network Coding (RLNC) has emerged as an adaptable, powerful approach. However, its most straight-forward implementation, Full Vector Coding (FVC), introduces too much delay for widespread adoption. Handcrafted schemes were introduced to optimise coding delay, while keeping resilience reasonably high. These works have resulted in tailRLNC and PACE. For the first time we analyse their respective behaviours in a fair and comparable manner, as non-recovered packets were statistically ignored previously. We then introduce an environment that uses a consistent, unbiased simulator and interface it with a Deep Reinforcement Learning (DRL) agent. This is the first time RLNC is joined with DRL. Our deep Q-network (DQN) based agent effectively uses an optimisation loop and utilises a customisable, expressive and extendable parametric loss function to learn a protocol. We demonstrate our agent recovers hand-tailored schemes and achieves state of the art.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Vincent Latzko; Osel Lhamo; Mahshid Mehrabi; Christian Leonard Vielhaus; Frank H. P. Fitzek
Energy-Aware and Fair Multi-User Multi-Task Computation Offloading Proceedings Article
In: 2023 International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, Hawaii, 2023.
Links | BibTeX
@inproceedings{Latzko2301:Offloading, title = {Energy-Aware and Fair Multi-User Multi-Task Computation Offloading}, author = {Vincent {Latzko} and Osel {Lhamo} and Mahshid {Mehrabi} and Christian Leonard {Vielhaus} and Frank H. P. {Fitzek}}, doi = {10.1109/ICNC57223.2023.10074189}, year = {2023}, date = {2023-02-01}, urldate = {2023-02-01}, booktitle = {2023 International Conference on Computing, Networking and Communications (ICNC 2023)}, address = {Honolulu, Hawaii}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Mahshid Mehrabi; Shiwei Shen; Yilun Hai; Vincent Latzko; George P. Koudouridis; Xavier Gelabert; Martin Reisslein; Frank H. P. Fitzek
Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks Journal Article
In: Network, vol. 1, no. 2, pp. 191–214, 2021, ISSN: 2673-8732.
@article{network1020012, title = {Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks}, author = {Mahshid {Mehrabi} and Shiwei {Shen} and Yilun {Hai} and Vincent {Latzko} and George P. {Koudouridis} and Xavier {Gelabert} and Martin {Reisslein} and Frank H. P. {Fitzek}}, url = {https://www.mdpi.com/2673-8732/1/2/12}, doi = {10.3390/network1020012}, issn = {2673-8732}, year = {2021}, date = {2021-09-04}, urldate = {2021-01-01}, journal = {Network}, volume = {1}, number = {2}, pages = {191--214}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Mahshid Mehrabi; Shiwei Shen; Vincent Latzko; Yuanfei Wang; Frank H. P. Fitzek
Energy-Aware Cooperative Offloading Framework for Inter-dependent and Delay-sensitive Tasks Proceedings Article
In: 2020 IEEE Global Communications Conference: Selected Areas in Communications: Cloud & Fog/Edge Computing, Networking and Storage (Globecom2020 SAC CCNS), Taipei, Taiwan, 2020.
BibTeX
@inproceedings{Mehr2020:Energyc, title = {Energy-Aware Cooperative Offloading Framework for Inter-dependent and Delay-sensitive Tasks}, author = {Mahshid {Mehrabi} and Shiwei {Shen} and Vincent {Latzko} and Yuanfei {Wang} and Frank H. P. {Fitzek}}, year = {2020}, date = {2020-12-07}, booktitle = {2020 IEEE Global Communications Conference: Selected Areas in Communications: Cloud \& Fog/Edge Computing, Networking and Storage (Globecom2020 SAC CCNS)}, address = {Taipei, Taiwan}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Mahshid Mehrabi; Pooria Taghdiri; Vincent Latzko; Hani Salah; Frank H. P. Fitzek
Accurate Energy-Efficient Localization Algorithm for IoT Sensors Proceedings Article
In: 2020 IEEE International Conference on Communications (ICC): SAC Internet of Things Track (IEEE ICC'20 – SAC-06 IoT Track), Dublin, Ireland, 2020.
@inproceedings{Mehrabi2020, title = {Accurate Energy-Efficient Localization Algorithm for IoT Sensors}, author = {Mahshid {Mehrabi} and Pooria {Taghdiri} and Vincent {Latzko} and Hani {Salah} and Frank H. P. {Fitzek}}, year = {2020}, date = {2020-06-06}, booktitle = {2020 IEEE International Conference on Communications (ICC): SAC Internet of Things Track (IEEE ICC'20 \textendash SAC-06 IoT Track)}, address = {Dublin, Ireland}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Mahshid Mehrabi; Dongho You; Vincent Latzko; Hani Salah; Martin Reisslein; Frank H. P. Fitzek
Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey Journal Article
In: IEEE Access, 2019.
@article{Mehrabi2019b, title = {Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey}, author = {Mahshid {Mehrabi} and Dongho {You} and Vincent {Latzko} and Hani {Salah} and Martin {Reisslein} and Frank H. P. {Fitzek}}, year = {2019}, date = {2019-11-10}, journal = {IEEE Access}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Mahshid Mehrabi; Hani Salah; Frank H. P. Fitzek
A Survey on Mobility Management for MEC-enabled Systems Proceedings Article
In: IEEE 5G World Forum's Secret Workshop, Dresden, Germany, 2019.
@inproceedings{Mehrabi2019b, title = {A Survey on Mobility Management for MEC-enabled Systems}, author = {Mahshid {Mehrabi} and Hani {Salah} and Frank H. P. {Fitzek}}, year = {2019}, date = {2019-10-01}, booktitle = {IEEE 5G World Forum's Secret Workshop}, address = {Dresden, Germany}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Dongho You; Tung V. Doan; Roberto Torre; Mahshid Mehrabi; Alexander Kropp; Hani Salah; Vu Nguyen; Giang T. Nguyen; Frank H. P. Fitzek
Fog Computing as an Enabler for Immersive Media: Service Scenarios and Research Opportunities Journal Article
@article{You2019b, title = {Fog Computing as an Enabler for Immersive Media: Service Scenarios and Research Opportunities}, author = {Dongho {You} and Tung V. {Doan} and Roberto {Torre} and Mahshid {Mehrabi} and Alexander {Kropp} and Hani {Salah} and Vu {Nguyen} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, year = {2019}, date = {2019-08-01}, journal = {IEEE Access}, keywords = {}, pubstate = {published}, tppubtype = {article} }